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The IPA Making Sense Podcast: Tessa LeGassick

IPA Podcast · 2026-06-24 · 50 min

0:00--:--

Key moments - from our scoring

Substance score

46 / 100

Five dimensions, 20 points each

Insight Density10 / 20
Originality7 / 20
Guest Caliber13 / 20
Specificity & Evidence10 / 20
Conversational Craft6 / 20

Tessa LeGassick outlines her vision for the Chief Planning Officer role at Hearts and Science UK, the agency's first to hold this position. Rather than inheriting legacy structures, she's shaped the role around what planning needs to deliver today: making it easier for all teams to do great planning across clients, setting standards for the discipline, and crucially, translating complexity into clear choices for clients. Her evolution from specialist to generalist planner reveals a key insight for the industry - planners must span all channels and stay curious about how specialisms overlap, rather than operating in siloed platforms. She addresses how AI and expanding media complexity actually reinforce the need for strong planning fundamentals and judgment, citing Hearts and Science's partnership with the Ehrenberg-Bass Institute as crucial guardrails against intuition becoming bias. LeGassick also brings a human dimension, discussing how personal context - her passion for reading, exposure to her daughters' generation of culture - feeds directly into better planning by maintaining consumer-first perspective and understanding how quickly culture shifts. For agency leaders and planners navigating portfolio expansion and emerging channels, her framework for generalist planning combined with deep discipline offers both philosophical and practical guidance.

Key takeaways

  • →The Chief Planning Officer role is fundamentally about translation - converting complexity in data platforms, AI, and fragmented channels into clear strategic choices that drive better client decisions.
  • →Planners must cultivate curiosity about how their specialism connects to the wider media ecosystem rather than staying siloed in single platforms or channels, especially as traditional channel-first thinking becomes obsolete.
  • →Marketing effectiveness frameworks like Ehrenberg-Bass principles provide essential guardrails to prevent personal intuition and bias from undermining planning, while allowing judgment to be applied across wider datasets including AI-generated options.
  • →Good planners operate like magpies, curating and recombining insights from culture, personal experiences, and reading across diverse subjects, but must balance this with consumer-first perspective to avoid staying trapped in their own bubbles.
  • →Maintaining genuine excitement about continuous learning - treating unknown challenges as opportunities rather than threats - is critical to sustaining effectiveness and inspiring teams in an increasingly complex media landscape.

Guests

Tessa LeGassick

Topics in this episode

Retail mediaEhrenberg Bass InstituteAI in advertisingMarketing effectivenessConsumer behaviorHearts and Science UKChief Planning OfficerAttention-led planningMedia planning effectivenessChannel fragmentation

Questions this episode answers

What does a Chief Planning Officer at a media agency actually do day-to-day?

The CPO role focuses on making it easier for all teams to do strong planning across clients, setting standards and ambition for the discipline, leading specialist teams, ensuring planning shapes key decisions like budget allocation and success measurement, and translating strategic thinking into actionable client outcomes.

How can planners transition from being specialists in one area to becoming effective generalists across all channels?

Develop curiosity about how your specialism overlaps with others rather than staying isolated in a single platform or channel; build relationships with the right people; and understand that you don't need to know everything immediately - effective generalists know how to find answers through networks and research.

How does AI threaten or support the role of media planners?

Rather than threatening planners, AI extends their reach by allowing marketing effectiveness principles and judgment to be applied across wider datasets and more potential options, provided they have strong fundamental guardrails from evidence-based practices like Ehrenberg-Bass principles.

How does personal life and culture influence media planning work?

Planners benefit enormously from reading widely, staying curious about different perspectives and how stories are told, and maintaining exposure to how culture and consumer behavior shift - exposure to younger generations' media consumption and preferences keeps planners grounded in current context rather than operating from outdated assumptions.

What's the biggest evolution in how planning roles operate at agencies?

Planning has become much more applied and integrated across the agency ecosystem - showing up in new business, senior client conversations, product development, and creativity - and the role is increasingly about navigating channel fragmentation and shifting consumer behavior without making it overwhelming for clients.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

10 / 20

The episode contains a handful of genuinely useful ideas - incrementality as a hidden gap, the attention corridor concept, CEP activation in practice - but they are surrounded by considerable padding, personal anecdotes (Blockbuster, daughters' K-pop habits), and mutual back-patting that dilutes the signal-to-noise ratio significantly.

if you push together all of the short-term decisions, you've sort of ultimately made a long-term one without even trying to
there's essentially kind of a sort of corridor of attention that that each platform can only deliver at the top and the bottom of

Originality

7 / 20

The frameworks on offer - Ehrenberg-Bass CEPs, long/short balance, attention as quality reach, AI as orchestrator not decider - are all well-circulated in UK media planning circles; the guest applies them competently but does not challenge or reframe them. The most contrarian moment (CFOs don't care about viewability) is practical rather than intellectually novel.

how good you are at writing a brief is sort of also how good you are at your job
the fundamentals still stands, but the application in in practice, the turning the theory into practice becomes perhaps something a bit different

Guest Caliber

13 / 20

Tessa LeGassick is a genuine senior practitioner - founding CPO of a real agency, Campaign award winner - with hands-on client examples rather than purely theoretical takes; the depth of disclosed specifics, however, is constrained by client confidentiality and the conversational format, keeping the caliber score from going higher.

I'm actually Hart's first chief planning officer
we've done some really great work with the national lottery in this space

Specificity & Evidence

10 / 20

Named entities add texture - National Lottery, Euromillions, Channel 4, Lab Bible, Guardian, ACAS, Karen Nelson Field, Amplified Intelligence - but the episode is almost entirely devoid of hard numbers: no ROI figures, no budget splits, no percentage uplifts, no timeframes on outcomes, limiting the actionability of the examples considerably.

So a couple of examples, so Euromillions, so one of its core category entry points is unsurprisingly life-changing prizes
we did kind of a content, like social first content series with Channel 4 and Lab Bible, which kind of showed celebrities like living out that those kind of moments

Conversational Craft

6 / 20

The hosts ask broad, approving questions and repeatedly validate rather than probe - explicitly declining to name clients when the guest opens the door, letting anecdotes run long, and never pushing back on a single claim; the interview reads more as a profile piece than an interrogation of ideas.

I absolutely love obviously I won't go into specific naming specifically, but like the work that you guys have done on high on um category entry point-led planning is fantastic
Yeah, it's been a great conversation. Thank you so much.

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

speaker42different42media41data35planning32making23important20points19clients18across17sure17attention16space16role14point14understanding13

Episode notes

Tessa LeGassick, Chief Planning Officer at Hearts & Science, joins the IPA Making Sense Podcast to explore what makes a good planner, why the role is more important than ever, the impact of AI and much more.

Full transcript

50 min

Transcribed and scored by The B2B Podcast Index.

1 - > SPEAKER_00: Hello everyone, and welcome to another edition of 2 - > the IPA Making Sense podcast, where we'll be making sense of 3 - > the complicated things in advertising, media, and 4 - > marketing today, and also hopefully just making them a 5 - > little bit more fun. 6 - > I'm Simon Frazier. 7 - > SPEAKER_01: And I'm Molly Bruce, and today we're joined by the 8 - > brilliant Tessa Legassock. 9 - > Tessa is Chief Planning Officer at Hearts and Science UK and 10 - > founding member of the agency, where she's played a leading 11 - > role in shaping attention-led, inclusive, and 12 - > effectiveness-driven media planning.

13 - > She's widely recognized for her work connecting data, 14 - > creativity, and culture to real business growth, and was 15 - > recently named Campaign's Media Planning Leader of the Year. 16 - > Tessa, it's great to have you with us. 17 - > SPEAKER_02: Thank you so much for inviting me. 18 - > SPEAKER_00: Firstly, congratulations on your new 19 - > role, Chief Planning Officer.

20 - > That's wonderful to hear. 21 - > And one of the things I wanted to get started with asking is 22 - > just how do you define that role in a media agency today? 23 - > We know with the where the landscape's becoming 24 - > increasingly complex. 25 - > How do you think that that definition has evolved over the 26 - > last few years as well?

27 - > SPEAKER_02: I think the first thing to say is I'm actually 28 - > Hart's first chief planning officer. 29 - > So the role for us has definitely been shaped by what 30 - > the agency needs from planning right now and what I can 31 - > deliver. 32 - > And for me, this might be oversimplifying, but I really 33 - > think that's it. 34 - > So that kind of the intersection of both craft and creativity.

35 - > So at its core, my role is about making it easier for all teams, 36 - > like not just specialist teams, but all teams to do great 37 - > planning day-to-day across all clients. 38 - > And that's not just at the big moments, though it is also at 39 - > the big moments. 40 - > That means kind of setting the ambition and standards for 41 - > planning for the whole agency, also leading specialist teams. 42 - > So I specifically look after a group of specialised planners 43 - > and I also look after the creative solutions team as well.

44 - > But also making sure that planning is being pulled through 45 - > to really actually shape decisions. 46 - > So how budgets are set, how channels are chosen, how success 47 - > is measured, and making sure all of those things deliver kind of 48 - > impact for clients as well. 49 - > A core point is obviously championing the craft of 50 - > planning, which obviously you guys know a lot a lot about, but 51 - > also kind of connecting teams around that and galvanizing 52 - > that.

53 - > And in practice, for me, that means taking kind of strategic 54 - > thinking and best practice and then translating that into kind 55 - > of action and what it actually can mean for clients so we can 56 - > really use it. 57 - > Planning kind of really only has started to earn its place, I 58 - > think, because it is it is that space where we start to move 59 - > from theory into practice in media. 60 - > I think, in terms of evolution, for me personally, I sort of 61 - > started in a specialism, so I've had to kind of kind of on this 62 - > journey to being a more broader planner, I guess, had to let go 63 - > of that comfort of being a specialist because I quite I 64 - > quite liked having all the answers and being the expert on 65 - > everything in the room, and that that's quite a nice place to 66 - > operate from as a kind of like professional.

67 - > But planning obviously spans all channels, and planners have to 68 - > be super strong specialists in planning, but also kind of 69 - > strong generalists as well. 70 - > And that definitely felt really uncomfortable for me at first 71 - > because you sort of have to accept you can't know absolutely 72 - > everything about everything in media. 73 - > But like our job really is about connecting those things 74 - > together, and essentially, like, I might not immediately know the 75 - > answer about everything, but I back myself enough to know that 76 - > I know the right people or the places to go to find out or 77 - > figure out the answer at this point.

78 - > I actually find the learning aspect of it or that kind of 79 - > complexity or the ever-evolving space really energizing and 80 - > enjoy the challenge of kind of figuring it out, and I think 81 - > that mindset is really important in being kind of a planning 82 - > leader. 83 - > I think the biggest evolution, kind of broadening out to the 84 - > wider media ecosystem, is like how applied and integrated the 85 - > role of kind of chief planning officers have become. 86 - > Planning really does kind of show up everywhere.

87 - > It is in new business, it's in senior client conversations, 88 - > it's in product development, it's in creativity and 89 - > innovation. 90 - > So that can span such a huge wrath of things from like 91 - > attention-led planning, retail, gaming, influencers, new 92 - > measurement approaches, like all of those things, like need a new 93 - > new approach to planning them. 94 - > And as kind of those channels fragment and consumer behaviour 95 - > continues to shift about the place, our role is kind of about 96 - > navigating that complexity without making it really complex 97 - > for clients.

98 - > So providing some simplification and making sure we're still 99 - > delivering on kind of strategic direction. 100 - > And I think the kind of context we're operating in, the reason 101 - > why the planning roles become more prevalent at agencies, is 102 - > because that context is changing at pace faster, the pace is 103 - > increasing, and clients are definitely under kind of greater 104 - > pressure from a commercial and cultural and technological 105 - > perspective.

106 - > So that CPL role is really about translation. 107 - > How do we take all these complicated things, that 108 - > complexity, whether it's like data platforms or AI or whatever 109 - > the next thing will be, and making it into like kind of 110 - > really clear choices. 111 - > So like ultimately, the role is about facilitating making kind 112 - > of better decisions more often. 113 - > SPEAKER_00: And it's great to hear being the inaugural chief 114 - > planning officer, you're able to start from a position of what's 115 - > really best for going forward rather than, you know, in some 116 - > structures it might be, well, this is how it's always been 117 - > done.

118 - > And it it's it's nice to open it up and to go, well, actually, 119 - > let's focus on the best things for us going forward. 120 - > And I guess when you mentioned about going from that position 121 - > of being a specialist in one thing, like it's comfort, yeah, 122 - > it's not necessarily comfortable because it's obviously taking a 123 - > lot of things. 124 - > But it's really hard, but it's kind of nice. 125 - > I know, you know, I know where I fit.

126 - > And then moving into that generalist, what would you say 127 - > is a good way for people who are very specialist to increase that 128 - > general knowledge across a variety of different areas? 129 - > Is it about building relationships with the right 130 - > people or is it about doing lots of homework? 131 - > What would you what would be your top tip, do you think? 132 - > SPEAKER_02: Yes, it's obviously about those things, but I think 133 - > it's about having a curiosity about how your specialism fits 134 - > into that kind of wider ecosystem because you don't want 135 - > to get set in a mindset of like just in platform and just in 136 - > channel, because that is quite reductive, especially when we 137 - > move to a world where just thinking tunnel first isn't 138 - > particularly helpful anymore.

139 - > So I think having that curiosity about where your specialism kind 140 - > of like bleeds into other specialisms because there is so 141 - > much overlap these days, is probably the way to sort of 142 - > stretch out of your specialism a little bit and become a bit more 143 - > kind of strategic and well-rounded. 144 - > SPEAKER_00: And I I guess as we move more into the world, 145 - > increasingly conversations are around AI and kind of its 146 - > changing, you know, the place in the landscape.

147 - > And I think the more I read into it and the more I kind of 148 - > observe or have conversations about it, it seems that it's 149 - > more it it encourages almost a crisis of confidence where 150 - > people go, actually, if we focus on what we really know well, AI 151 - > is not really that big of a threat because we're confident 152 - > in our abilities. 153 - > It's kind of AI has a unique ability, I think, to undermine 154 - > your own confidence in things because it shows you the 155 - > vastness of the things that you don't know.

156 - > And actually, we've survived perfectly well not knowing a lot 157 - > of stuff stuff. 158 - > So it's quite uh But it's great to have that kind of overview 159 - > perspective as well. 160 - > SPEAKER_02: Yeah, well that's the good thing about being a 161 - > planner. 162 - > You get this opportunity to sort of get get into the weeds of of 163 - > different things constantly, and I've been doing this for the an 164 - > amount of years I won't actually put a number to because it's 165 - > quite aging at this point.

166 - > But like that's I still find that super energizing that I can 167 - > turn up this week and be like, I'm definitely gonna learn 168 - > something this week, and I'm definitely gonna be getting into 169 - > something that I I don't know that much about, or there's 170 - > gonna be something I need to solve for, and you have to see 171 - > that as being exciting and an opportunity rather than like 172 - > terrifying and scary because otherwise you wouldn't enjoy the 173 - > job.

174 - > SPEAKER_00: And and I must say it's hugely inspiring from 175 - > guests that we've had on previously, and and and and 176 - > equally what you've just said there, people like Vicky Fox, 177 - > Caroline Manning, they have so much excitement about what they 178 - > do. 179 - > And it's really inspiring to see people who've maybe been in the 180 - > industry for a number of years, but still every day is the most 181 - > exciting day they've ever had when they come in, even if it's 182 - > a big client challenge or whatever it might be, that level 183 - > of enthusiasm.

184 - > Because it it really filters down into teams and is very 185 - > inspiring. 186 - > SPEAKER_02: Yeah, I mean I'm lucky to work quite closely with 187 - > Vicky and Caroline's kind of obviously the IPG agencies are 188 - > kind of new to the Omnicom family, but having that 189 - > engagement with other planners who are also really kind of 190 - > passionate about the discipline is kind of really inspiring. 191 - > SPEAKER_01: I think it's also easy to forget sometimes that 192 - > behind your job you've actually you're bringing the context of 193 - > your like your everyday lives.

194 - > And this is, I think we've had really nice conversations. 195 - > Yeah. 196 - > We've had nice conversations with like with Caroline, Vicky, 197 - > and also with Sarah about sort of the impact that that context 198 - > outside of work brings on their professional life. 199 - > Is that something that rings true for you?

200 - > SPEAKER_02: I think really good planners are a bit like magpies. 201 - > So like a lot of our work is iterative, but we're sort of 202 - > like select stuff and borrow stuff and curate things and 203 - > build things from both from what we've done before, but also what 204 - > we've seen, like culture, experiences, like other 205 - > conversations that you might have that might spark something, 206 - > and then like reconstituting that and reapplying that and and 207 - > building on that in a different way, dependent on the problem 208 - > that you can solve.

209 - > And but there's like there's kind of a flip side of that as 210 - > well that you need to be kind of aware of. 211 - > Like you can't just stay in your own little bubble, and like that 212 - > can be really limiting. 213 - > Like, no one person is the average consumer, you know, you 214 - > all have your own kind of little biases. 215 - > So I think having that kind of consumer-first, like common 216 - > sense, I think, viewpoint is really critical, and always 217 - > bearing in mind, like we obviously care a huge amount 218 - > about the work we do and we take it very seriously, but like 219 - > consumers really do not feel the same way about advertising and 220 - > media, and uh and and sometimes you can get quite lost in that.

221 - > So I think bearing that in mind is really important, and I think 222 - > having the fundamentals of marketing effectiveness there 223 - > really matter, and Hearts have a kind of um sponsorship with the 224 - > Ehrenberg Bath Institute, and kind of that type of evidence 225 - > and best practice give you the guardrails to able to stop that 226 - > kind of intuition turning into that bias. 227 - > And and to your point earlier on how kind of AI can perhaps 228 - > undermine the role of the specialist because it shows you 229 - > all of the the sort of vast array of potential data and 230 - > options that are out there, it kind of allows you to still 231 - > apply those kind of principles with judgment across wider kind 232 - > of data sets.

233 - > And I think in terms of like personally, like my mum was a 234 - > teacher, my dad was like exceptionally well read, and I 235 - > think they've one of the things that I think helps me in my job 236 - > is like I have a huge passion for reading, and I read super 237 - > indiscriminately. 238 - > Like, I like it's of all the things I've failed in as being a 239 - > parent, one of the things I take actual real pleasure in is both 240 - > my children really love reading and getting lost in that.

241 - > I think what I like about reading is understanding 242 - > different people's perspectives and like understanding how 243 - > stories are told and reading about kind of a vast array of 244 - > subjects, and having that is is really important in in kind of 245 - > planning as well. 246 - > So having that kind of curiosity about stories and other people's 247 - > experiences and how those stories are told and and and how 248 - > you're gonna tell the story of the plan essentially is really 249 - > beneficial.

250 - > And and then also personally, like I've as I said, I've got 251 - > two daughters who are kind of eight and nine, and they expose 252 - > me to like a whole new like generation of failures and 253 - > culture that otherwise I would have had no idea about 254 - > whatsoever. 255 - > And I'm like, I am actually super jealous of them because 256 - > they have they get to have such a like wide array of influences 257 - > and access that I would have absolutely loved when I was a 258 - > kid.

259 - > Like them into things like I don't know, we all watch like 260 - > beast games together because we love that. 261 - > They're into like K-pop demon hunters, like they can be into 262 - > like cinema that's influenced by career or like stuff that's from 263 - > the internet, whereas my access like growing up was limited to 264 - > like four and then five TV channels. 265 - > Yeah, I remember and whatever my sisters and I recorded on like 266 - > VHS and relentlessly replayed.

267 - > I think that's a constant reminder of how quickly kind of 268 - > culture moves and how different audience context is today, and 269 - > that kind of keeps you like rooted in that. 270 - > I tried to explain to my eight-year-old the other day 271 - > what like Blockbuster was as a concept. 272 - > Oh it was she honestly couldn't understand what I was talking 273 - > about. 274 - > She was like, but then so do they have all of the films 275 - > there?

276 - > And I was like, No, you'd only have like five copies, and then 277 - > be like, Well, what if someone had taken them all out? 278 - > And I'm like, Well then you'd have to choose something else, 279 - > and then she'd be like, But then how do you know if you like it? 280 - > And I was like, Well, you just have to choose something, and 281 - > she was like, What? 282 - > Because they've grown up with that, like this ability to have 283 - > everything so kind of like on demand, and that that kind of 284 - > woo-out that I grew up in is so different to that.

285 - > SPEAKER_00: It's funny because back then, like going to 286 - > Blockbuster, that was a destination, but now it's like I 287 - > guess the choice thing. 288 - > We've got such an abundance of choice that the process of 289 - > selecting a program in a house invariably is the complete 290 - > opposite of a happy experience, isn't it? 291 - > It's kind of just like everybody's just like, I don't 292 - > want to watch that, I don't really see that. 293 - > SPEAKER_02: You know, that sort of Yeah, that choice paralysis.

294 - > Like I've got too much choice. 295 - > SPEAKER_00: Yeah, this Blockbuster, that was a great 296 - > Yeah, oh, haven't you? 297 - > SPEAKER_02: In my mind of like flicking through and being like, 298 - > oh no, we don't have sandlock kids, we're gonna have to choose 299 - > something else now. 300 - > So yeah, but like I think that does help me in my kind of job 301 - > because it does connect me to things that I otherwise would 302 - > have no connection with whatsoever.

303 - > And I think also it's not just theoretical and personal, it's 304 - > also practical. 305 - > So I think my advice would be planners that are working on 306 - > brands, it really sounds really obvious, but like actually to 307 - > experience those clients' businesses firsthand and their 308 - > competitors too. 309 - > Download the app, go on the website, go into the shop, and 310 - > like you'll get so much of a better understanding of how the 311 - > business works, the consumer journey that people will go 312 - > through.

313 - > And I guess the same thing sort of applies to media. 314 - > So, like experience those like new emerging platforms, like go 315 - > on them, mess about a bit. 316 - > And it will uh even just the act of doing that will really 317 - > elevate your kind of understanding of how they work 318 - > as well, which kind of will help help keep you kind of grounded. 319 - > SPEAKER_01: Another thing that Hearts and Science talks a lot 320 - > about is linking media to real commercial outcomes.

321 - > Do you think that there is anything that the industry is 322 - > still underestimating when it comes to driving true business 323 - > growth for your clients? 324 - > SPEAKER_02: I think underestimating is kind of a 325 - > difficult thing to quantify, but I I think the industry still 326 - > probably underestimates how much short-term measurement is 327 - > shaping those longer-term decisions because if you push 328 - > together all of the short-term decisions, you've sort of 329 - > ultimately made a long-term one without even trying to.

330 - > Um, we've got better, there's whole businesses that are really 331 - > focused about in optimizing what's kind of easier to measure 332 - > in the moment versus what might be more important in the long 333 - > term, and that can really quietly pull investment away and 334 - > chip investment away from like things that actually grow 335 - > businesses over time. 336 - > And kind of a part of that is in the kind of more complex media 337 - > landscape is like confusing perhaps reach and scale with 338 - > impact and kind of understanding and you know, starting to 339 - > understand like how we've got kind of new languages and new 340 - > technology and new data points that allow us to kind of 341 - > understand and start to quantify and unpick how all exposures are 342 - > kind of like not equal.

343 - > Like two campaigns that have bought exactly the same 344 - > impressions right across a different in in different ways 345 - > will deliver two completely different outcomes. 346 - > Yes, it's still very important, but it's not the only thing to 347 - > to think about. 348 - > I think there's still a gap in terms of really is it 349 - > incremental? 350 - > Like how much of those numbers that you're seeing that feel 351 - > really comfortable maybe would you've got anyway.

352 - > So, like so thinking about what is really the real impact that 353 - > it's making and really kind of pushing on that and challenging 354 - > yourself to make sure that those kind of people that you're sort 355 - > of taking credit for, I guess, with that type of media have 356 - > really come through the door because you've put money there, 357 - > what would have come through the door anyway? 358 - > And I think there's probably a tendency to to underestimate how 359 - > kind of growth works in kind of a wider ecosystem.

360 - > So like most buyers in any category aren't in market at any 361 - > one time. 362 - > So really understanding that kind of growth depends on 363 - > building that mental availability over time, being 364 - > easy to think about across key category entry points, and kind 365 - > of hearts have done a lot of work in that kind of category 366 - > entry point space. 367 - > But that's about it's essentially about the kind of 368 - > those moments or kind of cues or triggers where people will start 369 - > to think, oh, this is the kind of situation where I need a I 370 - > need a brand, essentially.

371 - > And the flip side of that also is kind of physical 372 - > availability. 373 - > So the brand also needs to be kind of easy to find and buy 374 - > when those moments arrive. 375 - > And if you don't have both of those things, then you're 376 - > probably not going to be as effective as you could be. 377 - > And I think one thing that is underestimated is kind of still 378 - > kind of media retail owned and sort of can operate in quite 379 - > distinct silos.

380 - > So, how do those touch points all kind of work together and 381 - > how they plan together? 382 - > So they're not like isolated incidents, I guess. 383 - > And I think probably something that's underestimated isn't 384 - > necessarily data or tools, it's the measurement framework in and 385 - > of itself. 386 - > So that that being really disciplined about agreeing up 387 - > front, what really will this campaign do?

388 - > Like what what is our expectation here? 389 - > What is everyone's expectation here? 390 - > And agreeing what what success would look like, and and being 391 - > specific over what time frame that success will be, like what 392 - > leading indicators we'll take to sort of satisfy us that we're 393 - > going in the in the right direction, and how different 394 - > metrics might kind of ladder up to to those commercial outcomes. 395 - > If that's missing, kind of teams both internally and externally 396 - > can start to m end up moving towards like proxies that don't 397 - > really drive growth, and then then kind of media plans will 398 - > struggle to be as good as they can be.

399 - > SPEAKER_00: And I absolutely love obviously I won't go into 400 - > specific naming specifically, but like the work that you guys 401 - > have done on high on um category entry point-led planning is 402 - > fantastic. 403 - > I remember seeing it first, I think it was at the Future of 404 - > Brands maybe two years ago. 405 - > And I was like, wow. 406 - > Like some of the examples that they were given there, and then 407 - > there was some work that was presented at one of our media 408 - > planning strategy summits.

409 - > Again, I won't mention the specific client, the the case 410 - > studies I think are on the IPA website. 411 - > But yeah, it was really, really innovative innovative stuff. 412 - > SPEAKER_02: I think what's really interesting about it is 413 - > like all really great insights is when you start to to have a 414 - > way of identifying and prioritizing and activating kind 415 - > of category entry points for specific brands, they are 416 - > obvious in that when you you're like, oh yeah, yeah, that is 417 - > kind of that does make sense, yeah.

418 - > And like a truism, essentially. 419 - > But what's really useful in terms of the kind of the 420 - > approach that we use is that we have kind of a method and 421 - > approach that allows us to kind of quantify that and scale that 422 - > and identify the the kind of right opp right category entry 423 - > point for any brand to be going after at any given time. 424 - > And we've done some really great work with the national lottery 425 - > in this space. 426 - > So a couple of examples, so Euromillions, so one of its core 427 - > category entry points is unsurprisingly life-changing 428 - > prizes because they have really wonderful huge jackpots.

429 - > You know, an example of how we've kind of activated 430 - > specifically within that category entry point, and it's 431 - > allowed us to kind of unpick some of that kind of messy 432 - > middle, is we've been able to kind of tap into a culture with 433 - > more specific partnerships with like the likes of Guardian and 434 - > ACAS content, which is kind of built around like a viral meme 435 - > insight that it's kind of like I wouldn't tell anyone, but but 436 - > there would be signs.

437 - > Yeah. 438 - > So it's like a really fun way of making that that real for 439 - > people. 440 - > Or for, for example, for the Olympics and Paralympics, it was 441 - > about bringing kind of the impact of of the funding that 442 - > that T and I was able to do towards good causes to life. 443 - > So that's kind of alignment across that paid-owned and 444 - > earned piece that we talked about.

445 - > So, for example, there was like a Channel Ford following 446 - > athletes and their kind of like path to Paris. 447 - > But then we also had really kind of reactive social digital 448 - > out-of-home, which allowed us to kind of update assets in real 449 - > time and kind of most up-to-date kind of like medal wins and and 450 - > standout moments. 451 - > So there's kind of different ways in which we can bring those 452 - > category entry points to life in media when they're kind of 453 - > really rich to start to activate within.

454 - > SPEAKER_00: I love that it's it I think it's the set for life, 455 - > the National Lottery Set for Life, some of the work that you 456 - > did around that, because it's some of the things that you, as 457 - > you said, seem obvious, but actually like you miss them, 458 - > like automatically just in everyday living, you miss the 459 - > universal human truths of why these things work. 460 - > And then when I can't remember who it was, I think it was uh 461 - > was it Vicky Fox or somebody, but they said, you know, we're 462 - > to some extent like a we're like archaeologists like dusting away 463 - > with a fossil brush to find actually these unique insights 464 - > that really let really reveal a characteristic or a trait of of 465 - > an audience that may be apparent, but suddenly that 466 - > changes everything.

467 - > And I think I love that. 468 - > I just think that that work is fantastic. 469 - > SPEAKER_02: It's an interesting analogy. 470 - > Like, what are the bones?

471 - > What are the things that like make up the brand? 472 - > And then sometimes brands don't even know that themselves. 473 - > And yeah, the Seth Life one is a is a good one as well because 474 - > the the mechanic of that game is different, as in like it's not 475 - > one big cash prize, it's kind of graduated prizes. 476 - > So the CEP there was about daydreaming about the future.

477 - > So we did kind of a content, like social first content series 478 - > with Channel 4 and Lab Bible, which kind of showed celebrities 479 - > like living out that those kind of moments in terms of what they 480 - > would what they would spend their their sort of money on. 481 - > But we also used a sort of plug, I guess, like stuff like touch 482 - > points data. 483 - > The mood data, how do we use kind of that sort of audience 484 - > insight to sort of tap into kind of those daydreaming moments?

485 - > And how do we pull that across different kind of platforms and 486 - > strategies as well? 487 - > So there's there's like a number of ways in which we can use 488 - > category entry points really effectively. 489 - > SPEAKER_00: From our perspective at the IPA, we obviously we work 490 - > day in and day out on touch points and we absolutely love 491 - > touch points. 492 - > But one of the things that for us, like when we see people 493 - > using touch points and doing amazing innovative stuff, look, 494 - > we could never come up with that.

495 - > Like the stuff you guys come up with is is fantastic. 496 - > But it's almost like seeing your kids go off to college, you 497 - > know. 498 - > SPEAKER_02: You feel really proud, you're like, that's the 499 - > use case I don't think of. 500 - > SPEAKER_00: And that's that's the thing, I think it it really 501 - > demonstrates why such great strategists, planners, insight 502 - > professionals are so important because they come up with stuff 503 - > that you would never in a million years think of, but and 504 - > do such innovative things, and it's yeah, really exciting to 505 - > see.

506 - > One of the other questions I wanted to ask you is obviously 507 - > we're in that time now where it we've got more data than we've 508 - > ever had. 509 - > And as we said, the more you know, the more you know you 510 - > don't know. 511 - > What would you say? 512 - > You know, many brands are, of course, data rich but insight 513 - > poor.

514 - > What are the practical ways agencies can help clients sort 515 - > of move from like dashboards to decisions? 516 - > How do you when you've got so much to work with, what's the 517 - > particular kind of skill or tip that you would give to where to 518 - > stop? 519 - > SPEAKER_02: Yeah, I think I think that's being a good 520 - > strategist or planner is about making choices. 521 - > And sometimes you will definitely go down an 522 - > exploratory avenue and it's like, no, no, that's not okay.

523 - > But I think any brand that's obviously running kind of a lot 524 - > of media channels and has got a significant investment is going 525 - > to be generating a lot of media data. 526 - > So there's that, and you know, dashboards are fantastic at kind 527 - > of triangulating that data into like one source of truth, so 528 - > loads of people can access it, you can sit in one place, and 529 - > that it makes it easier to kind of extract insight from that. 530 - > But clients often sit on kind of rich data that kind of sits 531 - > outside media as well, and I think that's really interesting.

532 - > Like they're gonna have such a good understanding and a deep 533 - > customer and audience knowledge, they're gonna sit on loads of 534 - > business and sales data, they're gonna know about their product 535 - > pipelines, they're gonna know what phasing means for their 536 - > business, they're gonna know how pricing works, they're gonna 537 - > understand a level of competitor dynamics as well. 538 - > And all of that context is like hugely valuable in shaping 539 - > effective media plans, but it isn't always always applied to 540 - > media decisions.

541 - > And some of that might be because like clients' businesses 542 - > are a little bit siloed in some ways. 543 - > Like that might be information that sits elsewhere. 544 - > So I think one thing an agency can put into it is like 545 - > connecting those dots and like taking that information and 546 - > applying it. 547 - > I think clear aligned measures of success, but like what are we 548 - > looking for in this dashboard, like or what the data points 549 - > that are interesting, because you can track loads of things, 550 - > but what things are important is really critical.

551 - > And if you've agreed what success looks like and what data 552 - > points you're gonna use to know whether you've got there or not, 553 - > that's really important. 554 - > But then the question I think you should always ask yourself 555 - > if in terms of a practical tip, and I've probably say this 556 - > enough to like teams internally that find it annoying, but it's 557 - > like, so what? 558 - > It's like just because you're right, great, you find it 559 - > interesting, cool, but like what are we gonna do with it?

560 - > Yeah, like because because you can sometimes get a bit sucked 561 - > into the like, oh, I found something, oh look at this. 562 - > And it's like, okay, fine, but like, so what we're gonna do? 563 - > If it doesn't make any difference to anything, if 564 - > there's nothing we can apply for, then it then ultimately it 565 - > might be interesting, but it doesn't matter to what we're 566 - > doing right now. 567 - > I think the way in which we've talked to AI is relevant here as 568 - > well, in that it's a useful starting point because it can 569 - > obviously like quickly scan huge data sets and start to pull out 570 - > like initial hypotheses and and shortcut some of the the time it 571 - > takes to sort of go through those kind of big data sets.

572 - > And then the kind of human judgment is about okay, so what 573 - > what one of these hypotheses do I find interesting? 574 - > Which avenue I'm gonna explore further, which ones am I gonna 575 - > stress test? 576 - > And how can I take the the kind of hypotheses that it's pulled 577 - > from that and then apply it to kind of wider contexts, either 578 - > from like a business or an audience or a media choice 579 - > perspective. 580 - > So like the dashboards might organize the information, but 581 - > the value comes from applying that information for kind of 582 - > better decisions.

583 - > SPEAKER_00: Caroline Manning said on it was on the last 584 - > review we talked about a little bit on the podcast, where she 585 - > said AI is like kind of an Iron Man suit, but you've got to have 586 - > the person, like Tony Stark, I think it is, who sits with the 587 - > internet exactly. 588 - > And that's where I think that it's that harmony. 589 - > Because AI, in many ways, is is another tool in our Arsenal for 590 - > better understanding things or perhaps breaking down things in 591 - > ways that we weren't able to do before.

592 - > You've already mentioned some examples there, but where do you 593 - > think it genuinely is adding value in media planning strategy 594 - > right now? 595 - > Or or where do you think it's still more kind of promise than 596 - > practice? 597 - > SPEAKER_02: AI's already been adding value in kind of media 598 - > activation for quite a while now, particularly within 599 - > platforms where it does stuff like automating bidding and 600 - > pacing and optimization and at scale and use well, that can be 601 - > really helpful, especially for more kind of performance-led 602 - > activity.

603 - > But even then, I think it works best with kind of really human 604 - > oversight and clearly defined objectives and guard vials 605 - > rather than set it and then forget about it. 606 - > Yeah, yeah. 607 - > Solutions. 608 - > And I think where it adds value is managing that kind of scale 609 - > and complexity.

610 - > It takes large data sets, it can distill them into patterns or 611 - > scenarios that you perhaps might not have thought about 612 - > immediately. 613 - > And that means that as kind of planners, we can react more 614 - > quickly to stuff. 615 - > So that's that's really that's kind of accelerating thinking 616 - > rather than replacing it, is really critical. 617 - > And you know, it's talked about a lot, but like freeing up more, 618 - > we're all very busy, so like freeing up time to do the kind 619 - > of pieces of work which will actually make a difference and 620 - > add add value.

621 - > Omnicon, we use kind of AI within Omni, which is our kind 622 - > of unified operating system. 623 - > AI, including kind of a Gentec AI systems, operates kind of 624 - > end-to-end across that client life cycle through insight and 625 - > planning to activation and measurement. 626 - > But the the role of these systems is kind of orchestration 627 - > rather than autonomy, like you're still the person in the 628 - > suit in your analogy. 629 - > You're connecting the data, you're kind of surfacing the 630 - > options, you're running different scenarios, you're 631 - > stress testing the output.

632 - > It's not and keeping that human judgment and like accountability 633 - > at the forefront. 634 - > I think one of the places we're seeing it really add value is 635 - > through synthetic audiences. 636 - > So having that really obviously more complex, uh detailed 637 - > audience work is still hugely valuable, but having that kind 638 - > of super fast, accessible route to an audience insight that 639 - > previously would have perhaps not been available for many 640 - > brands is kind of really useful as well and really good for that 641 - > kind of hypothesis-building exploratory stage.

642 - > I think what's kind of important is AI is still best used when 643 - > you bring like thought and experience and vigour to what 644 - > you're doing. 645 - > And it's like any brief, really, in terms of prompting and your 646 - > interaction with kind of AI agents, the stronger and more 647 - > specific and well thought through the brief, the better 648 - > the output. 649 - > So a clearer brief will give you a better answer. 650 - > And how good you are at writing a brief is sort of also how good 651 - > you are at your job.

652 - > I think having that is really important and having the kind of 653 - > critical thinking skills to like stress test all the outputs as 654 - > well, rather than just moving to a world where you're putting 655 - > something in and accepting the answer immediately. 656 - > I think that kind of sense checking, that look at accuracy 657 - > is is more important, not less, really. 658 - > I think I don't think we're in a space where there's kind of like 659 - > autonomous decision making across channel campaigns, yep, 660 - > because there was so much complexity and like things to 661 - > consider when interpreting a brief or like making trade-offs 662 - > between different channels or short-term efficiencies with 663 - > kind of longer-term effectiveness, and media 664 - > decisions are still really context-dependent as well.

665 - > So there's kind of commercial, cultural, forward-facing things 666 - > rather than retrospective things, which is often what the 667 - > data sets are going to be based on. 668 - > So it still needs that. 669 - > So fortunately, I think we've we've still got a job. 670 - > Oh, certainly.

671 - > For a while, yeah. 672 - > SPEAKER_01: You've mentioned there that as we increasingly 673 - > move towards automation, or we have had a lot of things 674 - > automated that judgment, human judgment is obviously still 675 - > completely vital. 676 - > Are there any other human skills that you think become more 677 - > important with AI, or is that sort of things that you've 678 - > basically just touched on, like sense making and judgment and 679 - > common sense and judgment, absolutely, but definitely kind 680 - > of grounding that in the fundamentals.

681 - > SPEAKER_02: Like if you have a really solid understanding of 682 - > kind of marketing science, how brands grow, how people are 683 - > going to buy stuff, what drives effectiveness out of time over 684 - > time, without that grounding, it's gonna become really hard to 685 - > know if the output makes any sense or not. 686 - > So no matter how ad advanced the kind of tool or data or how it 687 - > ends with years. 688 - > So I think they need to be able to kind of sense check and like 689 - > stress test that that output and knowing when something's sort of 690 - > like strategically questionable, even when like maybe the data 691 - > says that it's the best thing, because it's not going to 692 - > replace that kind of creativity either.

693 - > That that's really another critical part of that role. 694 - > And when I say creativity, I sort of mean it in like a number 695 - > of ways. 696 - > Like there's creativity in designing kind of a truly like 697 - > media first, innovative, never done before solution for 698 - > clients, and that's absolutely absolutely still got a space. 699 - > But there's creativity in how you connect complexity and and 700 - > different data sets, and how and that's still super valuable.

701 - > So, how do you use kind of different data points, different 702 - > signals, different research, different constraints to arrive 703 - > at a kind of a strong recommendation that's backed by 704 - > rigor, but also that kind of creativity? 705 - > And I don't I also don't think it's like that different. 706 - > Like planners love tools and data and tech. 707 - > Like we love getting into it and like figuring out what the 708 - > outputs are based on, like what assumptions sit beneath them, 709 - > like what the blind spots might be, what the methodology is.

710 - > And you sit in a meeting with a planner, they're gonna be like, 711 - > sorry, what's the source on that chart? 712 - > Talk me through the axes here. 713 - > And I think that's kind of where you can use automation really 714 - > intelligently, but like not be led by it. 715 - > Um I think the human role is kind of perhaps shifting a 716 - > little bit from like doing the the do on some tasks, but I'm 717 - > I'm sure there are jobs that kind of things that AI and 718 - > automation will create that I couldn't even guess what they 719 - > are right now.

720 - > So it's also about when you're in a world where actually you 721 - > can surface a lot of information really fast. 722 - > Like what are the things you're not gonna do is just as 723 - > important as things that you are gonna do. 724 - > So understanding what you're not gonna chase and being being able 725 - > to be confident enough to say, yeah, it's kind of interesting, 726 - > but it's not the answer, and it's not gonna help me show the 727 - > answer, is a differentiator.

728 - > So I I don't think it's that different in terms of the like 729 - > secret source of being really good at planning isn't just your 730 - > ability to use a tool and pull out a data point. 731 - > It's like the judgment, the experience, the creativity that 732 - > you apply over the top of that. 733 - > And how do you like navigate through all the complexity in a 734 - > way that makes it much simpler for for clients and delivers 735 - > plans that will actually drive kind of businesses forward 736 - > remains the same.

737 - > SPEAKER_00: I mean, we're gonna come now on to a little bit more 738 - > uh things about related to kind of like traditional planning 739 - > models in kind of an increasingly fragmented world as 740 - > time goes on. 741 - > You you're dealing with more and more, not just media properties, 742 - > but also more and more options within that, more and more data 743 - > sets and so many different things to pull you in so many 744 - > different ways. 745 - > I mean, do you think traditional planning models are still I mean 746 - > we we always use that phrase fit for purpose, but you know, are 747 - > they are are they still fit for purpose?

748 - > Everything's evolutionary, right? 749 - > SPEAKER_02: When you say planning models, are you talking 750 - > like reach, frequency, phasing, like to a voice, like that that 751 - > that sort of thing? 752 - > Because obviously those things are still in course, absolutely, 753 - > yeah, yeah, yeah. 754 - > But there are to your point like evolutionary ways of of thinking 755 - > of them.

756 - > Like I think they are still foundational, like what 757 - > audiences are doing, how many of them are there, how are they 758 - > spending their time? 759 - > Like they're still obviously critical in kind of driving how 760 - > advertising works and how brands grow. 761 - > But like the the environment, I guess, is is constantly 762 - > changing. 763 - > So the way in which we think about those things and and how 764 - > we apply them across a kind of more fragmented platform-led 765 - > ecosystem kind of has to evolve.

766 - > Yes. 767 - > And I think that's probably always been the case. 768 - > But audiences are obviously kind of spending more time in in 769 - > different spaces than ever before. 770 - > Scale on its own probably isn't enough.

771 - > Attention's a really good example of how perhaps it's not 772 - > just thinking about reach, it's thinking about attentive reach 773 - > to give us kind of a language to understand the complexity of how 774 - > people actually consume media rather than one impression being 775 - > exactly the same as one impress somewhere else and and they're 776 - > all and they're all equal. 777 - > So it it sort of you know allows us to think a little bit widely 778 - > about not what just we think they might have seen, but 779 - > actually to to what they potentially have seen and also 780 - > noticed or heard.

781 - > So kind of re that doesn't mean to say that reach isn't still a 782 - > fundamental, obviously it is. 783 - > When we can start to use things like attention as a kind of a 784 - > proxy for kind of quality reach and making sure that we're 785 - > driving those outcomes so that the ads aren't just delivered 786 - > and viewable. 787 - > Yeah, yeah. 788 - > They're they're also kind of registered at scale.

789 - > But even with that, that comes with a lot of complexity as 790 - > well, because attention is kind of used in a lot of different 791 - > ways. 792 - > And and I think even the conversation in that space has 793 - > sort of moved on. 794 - > And I don't think it's a case now, really, where there's this 795 - > idea that just get more of attention. 796 - > Like that's it.

797 - > Just get more. 798 - > Doesn't matter what it costs, it just has to be more. 799 - > Like, and it just that's better. 800 - > Like whatever you're doing, that is better.

801 - > SPEAKER_00: Sometimes if something's measurable, then you 802 - > optimise towards maximizing. 803 - > I just want the most. 804 - > And and actually, like, I mean, a particularly good media that 805 - > that really resonates with me is like radio. 806 - > Because actually, radio is a is theoretically a lower attention, 807 - > direct attention environment.

808 - > But actually, in terms of driving brand consideration or 809 - > some of those really important sort of campaign synergies there 810 - > can be really, really valuable. 811 - > SPEAKER_02: I think then it's about thinking about what are 812 - > you trying to do with your campaign and like where are you 813 - > in that life cycle of your campaign. 814 - > So, like different types of attention, like audio, if it's 815 - > more secondary, are really valuable, but they have to be 816 - > fit for fit for purpose, I guess, and attention can play 817 - > different roles.

818 - > So, like shorter attention can be really valuable if you're in 819 - > the point of a campaign where it's right near the point of 820 - > purchase, you want to prompt or nudge people, but there might be 821 - > other contexts or campaigns where actually it's a brand new 822 - > product, no one's ever heard of it in it before, they don't know 823 - > what it does, and they it really needs explaining, then that 824 - > potentially would need more attention. 825 - > So you at uh we're sort of focused on finding the right 826 - > type and like optimal level of attention for each campaign, so 827 - > balancing that to make sure we're we're staying cost 828 - > effective.

829 - > But like interestingly, I mean we've we do we've been doing 830 - > some quite quite a lot of work with Karen Nelson Field, and she 831 - > talks a lot about this, but like, and then there's like a 832 - > step below that. 833 - > Yes, you can use that to sort of shape channel decisions and like 834 - > the shape of your plan. 835 - > But then when you get down to more kind of platform and 836 - > formats, there's essentially kind of a sort of corridor of 837 - > attention that that each platform can only deliver at the 838 - > top and the bottom of.

839 - > And our job is to obviously make sure that we're more towards the 840 - > top end of that corridor, but there's nuance within attention, 841 - > even when you kind of unpack it to that level. 842 - > We do a lot of work with amplified intelligence in kind 843 - > of generating our own attention data across platforms and 844 - > formats so we can really understand down to that kind of 845 - > impression level, like what is the right format on what 846 - > platform to deliver the X objective.

847 - > And you you do need that level of scrutiny, I guess, to really 848 - > unpick that. 849 - > And I guess the same sort of thinking applies to category 850 - > entry points. 851 - > Category entry points isn't necessarily in- I think oh, when 852 - > did Half Browns go come up? 853 - > Probably don't know the date.

854 - > But the principle hasn't changed, in effect. 855 - > But brands need to be kind of mental, mentally available at 856 - > moments that they will matter in. 857 - > But those moments are like really disparate and across 858 - > loads in terms of like media across lots of different 859 - > platforms in a really complex media system. 860 - > So, like, how do you connect those all together becomes a 861 - > harder job.

862 - > So the fundamentals still stands, but the application in 863 - > in practice, the turning the theory into practice becomes 864 - > perhaps something a bit different. 865 - > So it's probably not about starting from scratch, it's 866 - > about kind of holding on to those fundamentals, but 867 - > understanding like the the truth of the ecosystem that you're 868 - > operating on and how you have to adapt them to be meaningful now. 869 - > SPEAKER_00: Do you find that increasingly as maybe digital 870 - > pure play media channels are eminently reportable?

871 - > Like in terms of there's easily reportable data on the potential 872 - > impact of campaigns. 873 - > Does it become harder to get sign off or to justify channels 874 - > that maybe don't have that? 875 - > More traditional channels, should we say, that perhaps 876 - > don't have those fast metrics available to them? 877 - > But is there a tension there, do you think?

878 - > SPEAKER_02: Like I think it depends on the client. 879 - > There's not a one-size answer to that and what you're trying to 880 - > do. 881 - > Like there is obviously a kind of tension for clients, I think, 882 - > to sort of prove out marketing's worth, I guess, a lot more than 883 - > in the past. 884 - > And I think you have to recognise that often our clients 885 - > have media as part of their job.

886 - > It's probably not their whole job, I imagine. 887 - > And they operate with kind of lots of different remit across 888 - > lots of different things. 889 - > They're probably not just like a custodian of a media budget. 890 - > So they're responsible for kind of like growth and demand and 891 - > like generating those sort of things, and you know, how 892 - > customers experience their brand and media is kind of one lever 893 - > they have to pull within that.

894 - > And I think where we as agencies can support clients is about 895 - > making sure that they can like operate at that commercial level 896 - > in their businesses. 897 - > So, like talking in a language that kind of finance and 898 - > leadership understand and framing kind of marketing as 899 - > that investment that drives demand in the long term, that 900 - > future demand, rather than just harvesting existing demand, 901 - > perhaps, which is the distinction. 902 - > And you know, the impact that that kind of that future brand 903 - > spend can have on things that sit outside of immediate 904 - > response, like pricing power, like brand strength.

905 - > So that's not a cost that's just tied to short-term metrics, 906 - > which are often quite media-based as well. 907 - > I can't imagine many chief finance officers really give a 908 - > shit about like how viewable something is, or like that's not 909 - > a language that they're gonna be particularly impressed by. 910 - > So making sure that you're talking talking in that in that 911 - > language is is really important. 912 - > Often some of that disconnect comes from like misalignment on 913 - > like what on realistic expectations about I think you 914 - > have to have a real conversation about what what you're planning 915 - > to do and whether it will deliver what the client wants to 916 - > do.

917 - > And if it doesn't, you need to look at a different plan. 918 - > Like and and being really clear, clear-sighted about that, and 919 - > making sure you don't end up in a pickle where like brand 920 - > investment is going to be judged by what it's done like the first 921 - > day it's launched or something, because that that will end up 922 - > creating kind of friction and a focus on kind of more 923 - > short-termism. 924 - > So kind of setting realistic timelines and expectations is 925 - > super important, and I think also supporting clients to bring 926 - > the rest of their organizations with them.

927 - > So, like, how can you be clear on what marketing's going to 928 - > contribute and help them develop that understanding in a business 929 - > to make it easier to kind of hold the line on doing things 930 - > that are more focused on long-term investment when 931 - > obviously there are kind of a lot of shorter-term pressure 932 - > pressures for clients. 933 - > So I think like having those confident evidence-based 934 - > conversations earlier on is super important, and making sure 935 - > that they're kind of communicated more widely to the 936 - > rest of the business.

937 - > SPEAKER_01: Talking about long-term impact brings me on to 938 - > my final future-facing question. 939 - > But obviously, no one can make concrete predic predictions 940 - > about what the future's gonna look like, especially when it's 941 - > ever changing at the moment. 942 - > But if we were to have this conversation again in a few 943 - > years' time, is there anything that you think may have changed 944 - > considerably about media agencies and and the roles that 945 - > they play for brands?

946 - > SPEAKER_02: I mean, I don't think any of these things are 947 - > gonna be particularly surprising because they're kind of we're at 948 - > the sort of inflection points on some of these things already, so 949 - > they're they'll just build as we move move forward. 950 - > But discoverability is gonna be a huge shift, particularly in 951 - > search, like how how people like that convergence of platform 952 - > essentially, how people are using lots of different like 953 - > people use social to search, people use kind of retail sites 954 - > to search, people like the way in which those those interact 955 - > are gonna be really important, especially also around the kind 956 - > of greater use of AI and large language models, and how that 957 - > surfaces data within within search mod models and kind of 958 - > that more conversational search behavior that we're all starting 959 - > to.

960 - > It's not one or two words anymore, it's like strings of 961 - > sentences. 962 - > So, like search isn't just something you Do on like one 963 - > platform, it's happening across lots of different platforms and 964 - > formats and contexts. 965 - > And that's that's really important because that is a 966 - > space where people both discover brands but also convert to 967 - > brands as well. 968 - > So that's a really interesting space.

969 - > I think that links quite closely with category entry points. 970 - > Like what's really interesting is to start to unpick like, how 971 - > do you make sure that you are showing up in those spaces? 972 - > And there is a whole mix of kind of different data sources for 973 - > different different AI models that that uses different data 974 - > sets to surface brands. 975 - > How do we get smarter about the way in which we use media to 976 - > show up in those spaces?

977 - > And that might change the types of decisions that we make. 978 - > So one decision might not make sense just from a reach 979 - > perspective, but then if it's like actually this will mean 980 - > that you're top of the list when someone does a search query in a 981 - > sort of copilot or a chat GPT, and that will deliver X. 982 - > Like that then becomes a different kind of data point we 983 - > have to consider when making decisions and understanding how 984 - > kind of consumers when discovery fragments, how we can connect 985 - > with consumers in that world.

986 - > I think that's super interesting and a space that will continue 987 - > to evolve. 988 - > I think we're already seeing loads of channels hit like kind 989 - > of digital tipping points, digital, even as a kind of word 990 - > or being channel-led is sort of a bit unhelpful now because like 991 - > what isn't? 992 - > TV's continuing to become addressable. 993 - > There's kind of releases this year that's going to see that 994 - > rise pretty quickly.

995 - > I think we'll see the continued rise of kind of meet out media 996 - > as more things become more shoppable, more instant, more 997 - > buyable from a consumer perspective. 998 - > I'd spent some time recently in the kind of influencer space, 999 - > and that's a really interesting space as well, because there is 1000 - > so many overlaps with loads of different things. 1001 - > Kind of paid on demand, it's kind of also creative, it's kind 1002 - > of also sort of a brand ambassador, and it's kind of 1003 - > also sort of media, and the ways in which you guys are in that 1004 - > space have shown that there is kind of a really rich 1005 - > opportunity in terms of driving kind of longer-term ROI, but 1006 - > there is also a huge disparity in the types of results that you 1007 - > can get from influencers.

1008 - > So I think that space will continue to evolve, and I think 1009 - > we'll continue to see more kind of robustness, I guess, and and 1010 - > more kind of measurement and data in that space because as 1011 - > sort of it becomes a bit more grown up, I guess, if we're 1012 - > going to think about it like that. 1013 - > Um but from a consumer perspective, I don't think they 1014 - > really care. 1015 - > Like it's just all video, it's all entertainment, it's all 1016 - > whatever.

1017 - > It's not really channels, so I'm not sure. 1018 - > I think the way in which we need to think that kind of broken 1019 - > down silo thinking just isn't super helpful anymore. 1020 - > So I think we'll continue to see a move to being more kind of 1021 - > consumer-centred rather than organized around kind of media 1022 - > silos, I guess. 1023 - > And it like as addressability grows, like, how do we do that 1024 - > in a way that isn't just about precision, it's also about 1025 - > scale?

1026 - > I think that that's going to be a really important thing moving 1027 - > forwards. 1028 - > And I think the agency's role will remain relatively similar 1029 - > in that it will be our job to sort of connect the dots across 1030 - > that complexity and make it meaningful for clients and make 1031 - > sure that they can benefit from the scale and diversification 1032 - > and opportunity that might have without, but also balancing that 1033 - > without chasing every single new thing that will come up in the 1034 - > next three years.

1035 - > So I'm sure there will be new stuff that we don't even know 1036 - > about yet. 1037 - > So I don't think the kind of fundamentals will change, but 1038 - > how confidently the industry kind of applies them in that 1039 - > kind of more complex, addressable, AI-driven world 1040 - > will probably change, and how we design kind of planning systems 1041 - > to make sure we're connecting with people across these 1042 - > different spaces will evolve too. 1043 - > SPEAKER_00: Yeah, there's so much exciting stuff going on.

1044 - > But also, like the more we we talk to people kind of in the 1045 - > planning and strategy space, the more you kind of realize, you 1046 - > know, there's never been a more exciting time to be a planner 1047 - > than right now, because there's so much change. 1048 - > Compare being a TV planner in the 80s, you know, versus what 1049 - > what being a planner like to today. 1050 - > It's there's never been a more exciting time. 1051 - > And the wonderful, I think, I think the more people that we 1052 - > talk to on the podcast is that level of excitement and 1053 - > enthusiasm for those challenges which may be coming down the 1054 - > line.

1055 - > We don't really know what they're going to look like, what 1056 - > the industry's going to look like, or how things are going to 1057 - > change, but it's that embracing that curiosity, which I think 1058 - > seems to be the the fundamental skill of what makes a great 1059 - > partner. 1060 - > SPEAKER_02: Curiosity, that appetite for learning, that 1061 - > appreciating that we get to do a really fun, interesting job. 1062 - > Like my dad was a metal sheet engineer and had to go to a 1063 - > factory every day that he absolutely hated.

1064 - > I get he could never even get his head around that this is 1065 - > what I did. 1066 - > Like I'd go to meetings and there'd probably be a hot drink. 1067 - > There might even be some free snacks. 1068 - > And what I wouldn't be like making anything with my hands.

1069 - > I would be I'm essentially paid for what's in my brain and like 1070 - > what I can come up with. 1071 - > And I I think that is a real privilege that I'm sort of in 1072 - > that position and I get to do that, so I do sort of bear that 1073 - > in mind. 1074 - > And I do find it really energizing to be able to kind of 1075 - > learn stuff constantly. 1076 - > And you know, I was a TV planner, but not quite in the 1077 - > 80s.

1078 - > SPEAKER_00: Well, Tessa, honestly, thank you so much for 1079 - > coming in today's talk. 1080 - > It's been really, really fascinating and really exciting 1081 - > session. 1082 - > Yeah, it's been a great conversation. 1083 - > Thank you so much.

1084 - > Thank you.

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