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How Consumer Insights Shape Creativity Across Markets

Inside Insights · 2026-08-03 · 33 min

0:00--:--

Key moments - from our scoring

Substance score

50 / 100

Five dimensions, 20 points each

Insight Density9 / 20
Originality7 / 20
Guest Caliber13 / 20
Specificity & Evidence11 / 20
Conversational Craft10 / 20

Canva's recent multi-market campaign launch across Europe reveals how modern creative teams can integrate consumer research and creative excellence at speed. Matt Harris explains how AI-powered survey analysis and rapid insight delivery through Slack and informal channels replaced traditional presentation-heavy research workflows, while Ollie Bussell details how local creative teams, agencies, and directors collaborated to maintain a cohesive Canva brand identity while respecting cultural nuances in each market. The core tension - that 70% of consumers feel AI-generated ads lack soul even as 99% of marketers plan to increase AI investment - shaped their approach: they leaned into it. The Italy stop-motion campaign exemplifies this strategy, using deliberately lo-fi, craft-oriented production to humanize an AI design tool. Both speakers emphasize that research identifies problems but shouldn't prescribe solutions, creative instinct remains irreplaceable, and AI tools like advanced storyboarding narrow the gap between creative vision and consumer perception without replacing human judgment. The episode is essential for marketing leaders, insights teams, and creative directors managing multi-market campaigns and navigating AI's role in production.

Key takeaways

  • →Consumer insights should guide creative development by identifying what isn't landing (ambivalence, weak branding, emotional disconnect) rather than dictating the solution, allowing creatives to solve the challenge they've uncovered.
  • →Stop-motion and deliberately lo-fi creative approaches can humanize AI-powered brands by leaning into the tension between automation and craft, creating more emotionally resonant advertising than purely AI-generated executions.
  • →AI tools like advanced storyboarding are most valuable when they narrow the gap between creative vision and what consumers actually see, reducing the need for abstract creative leaps and enabling earlier testing of ideas closer to final execution.
  • →Rapid insight delivery through informal channels (Slack, individual videos, quick two-by-twos) integrates testing throughout the creative process rather than creating high-stakes, presentation-heavy research moments that breed defensiveness.
  • →The best insights-creative partnerships trust both data and creative instinct: use AI research and testing as directional steers, not binary approval gates, and recognize that emotional impact in advertising cannot be fully captured by large language models or synthetic audiences.

Guests

Matt HarrisOllie Bussell

Topics in this episode

Canvamarket researchConsumer insightsdatabusiness intellegenceinside insightsAI survey analysisconsumer testing and research methodologystoryboarding with AIstop-motion advertisingmulti-market campaign localizationsynthetic audiences in researchlarge language models in creative researchbrand identity across marketscreative partnership models

Questions this episode answers

How should teams deliver consumer research findings to avoid killing good ideas or creating conflict with creative teams?

Bring the consumer voice into conversations through video clips or verbatim comments rather than just statistics, help teams understand what ambivalence or weak engagement actually means in context, and maintain humility about research limitations - don't kill unusual or challenging ideas if they test slightly lower in storyboards, especially when creatives have strong conviction, since there's often a big gap between what appears on paper and what reaches market.

How do you balance maintaining a central brand identity while creating distinct campaigns for different markets and audiences?

Make the product integral to the story so Canva is the catalyst that makes the narrative work and can't be substituted with a competitor logo, collaborate extensively with local teams, agencies, and directors to ground insights in authentic local context, and ensure that no matter how hyper-specific or local the creative is, it still unmistakably feels like Canva.

Can AI-generated advertising create emotionally resonant work, or does it inherently lack soul?

Large language models and purely AI-generated creative lack the capacity to create genuine emotional impact because advertising doesn't work on a purely linguistic level - music, visuals, and human-crafted ideas tap into feelings that AI can't access; however, AI tools used as partners to bring human creative ideas to life, like advanced storyboarding, can be highly effective without losing the human element.

What's the fastest way to test creative ideas across multiple markets without losing quality or local relevance?

Use AI-powered storyboarding to produce visually accurate representations of ideas within days, test those storyboards with consumer panels to guide direction, deliver insights rapidly through informal channels like Slack rather than formal presentations, and integrate testing throughout the creative process rather than waiting for high-stakes approval moments.

Why do creative agencies traditionally resist consumer research more than in-house marketing teams?

Agencies often rely on gut instinct and creative conviction in arguments for their ideas, and research can feel like it's crushing work before it's fully developed; however, when testing is used best it provides data-backed weight to creative arguments, reducing resistance and helping clients take creative leaps they wouldn't otherwise make.

What our scoring noted

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

Insight Density

9 / 20

The episode contains some useful practical observations about cross-market campaign development and the relationship between insights and creative, but much of the content amounts to expected advice (e.g., 'bring consumer voice into conversations,' 'use testing throughout the process'). The insights about AI-generated ads lacking 'soul' and the tension between speed and thoughtfulness are mentioned but not deeply explored with data or novel frameworks. Significant portions consist of throat-clearing and generic statements about collaboration.

research is a fantastic unlock for identifying or maybe this part of the ad isn't quite landing as we thought
it's an imperfect science still and I think you see this particularly for um, earlier stage testing for example

Originality

7 / 20

The episode rehashes well-worn themes: insights vs. creative tension, AI as a tool not a replacement, the importance of collaboration, and testing throughout the creative process. These are standard industry talking points circulating widely. The specific case studies (Italy stop-motion, UK nail bars) provide some grounding, but the underlying frameworks and conclusions are conventional. No contrarian viewpoints or first-principles challenges emerge.

AI in that sense as a tool has been really useful
it's not a replacement. And I think as, I think that's kind of where we need to head with it

Guest Caliber

13 / 20

Matt Harris and Ollie Bussell are legitimate practitioners - a research lead and creative lead at Canva working on actual multi-market campaigns. However, both are functional specialists at a single company (albeit a notable one), not operating leaders or founders with broader business acumen. They have relevant experience executing the work discussed, but limited scope to speak authoritatively on broader strategy or cross-company patterns. Their credibility is operational rather than strategic.

Matt Harris, research and insights lead for Europe at Canva, and Ollie Bussell, creative lead for Europe
Together they recently helped launch five campaigns across four European markets

Specificity & Evidence

11 / 20

The episode includes some concrete examples: five campaigns across four European markets, the Italy stop-motion ad, the UK rival nail bars campaign, the 70% figure on AI-generated ads feeling soulless (from Canva's 2026 report), and references to testing '400 consumers.' However, there are no specific metrics on campaign performance, conversion rates, revenue impact, or quantified ROI. The examples are illustrative but lack the granular data (timelines, budgets, lift percentages) that would make claims testable and actionable.

five campaigns across four European markets
we test a storyboard, um, and I'm so conscious of not wanting to kill an idea

Conversational Craft

10 / 20

The host (Steve Phillips) asks reasonable setup questions and achieves some follow-ups, but rarely pushes back or challenge claims. When Ollie says 'research can't define creative,' Phillips nods along rather than probing what guardrails prevent over-reliance on data. The conversation stays amiable and collaborative - appropriately so for a client-side narrative - but lacks the friction that would test assumptions or extract deeper disagreement. The lightning round questions are softball and don't probe limitations or failures.

How does a company build on democratizing creativity thinking about that tension?
how do you see that changing the creative process and particularly how is it best to get that right?

Conversation analysis

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

Share of words spoken

  • Speaker A45%
  • Speaker C31%
  • Speaker B25%

Most-used words

creative52consumer25insight24canva22insights18matt18consumers16across16interesting16research14ollie14idea13campaigns11teams10different10trying10

Episode notes

AI can generate creative fast, but soul gets lost. Matt Harris (Research & Insight Lead) and Oli Bussell (Creative Lead) at Canva sit on opposite sides of the table - data and instinct - and prove the two only work together. They break down how to test storyboards early instead of waiting for the final cut, why bringing a single consumer's voice into the room beats any statistic when defending or reshaping an idea, and how to use insight as a creative challenge to solve rather than a verdict that kills bold ideas. You'll hear why the best partnerships treat research as a steer, not an answer - and where the human touch still beats the algorithm every time. See Privacy Policy at and California Privacy Notice at .

Full transcript

33 min

Transcribed and scored by The B2B Podcast Index.

Speaker A: Welcome to Inside Insights, where marketing strategy meets consumer truth with your host, Steve Phillips.

Speaker B: According to Canva's 2026 State of Marketing and AI report, 70% of consumers say AI generated advertising feels like it's missing its Soul. Even as 99% of marketers plan to increase their AI investments this year. That's creating a new challenge for marketers because AI can help teams move faster than ever before. Can gener ideas build storyboards accelerate production across markets almost overnight? But speed doesn't guarantee better creative and you need better creative for better results. When you're launching campaigns across multiple countries at once, how do you harness the power of AI and make sure consumer insights are helping to shape creative decisions and still ensure that human driven great creative comes through? I'm Steve Phillips and today I'm joined by Matt Harris, research and insights lead from for Europe at Canva, and Ollie Bussell, creative lead for Europe. Together they recently helped launch five campaigns across four European markets, balancing different languages, cultures and creative expectations while moving at remarkable speed. Today we'll explore how consumer insights can help shape creativity across markets, why the best research doesn't replace creative instinct, and what happens when consumer insight and creative have to move together faster than either function is used to. Matt, Ollie, uh, welcome to Inside Insights. Um, Matt, when you're developing campaigns across multiple markets at once, how do consumer insights shape creative decisions differently than they would if you were building, say, for a single audience in a single market?

Speaker C: Yeah, it's great to be here first of all, but um, yeah, I think more than anything it's just the speed and the scale, um, that we need to work at. Right. So um, I think the same principles of consumer insight apply wherever you are. Um, we're always trying to make sure what we put out into the world is uh, kind of sensitive to the personal and the cultural context of everyone. And there's always different, um, I guess strategic challenges in each market. But um, yeah, if I think back to Q4 last year when we had these campaigns, um, coming uh, up basically, um, I think the thing I had to be really intentional about is, okay, how do we change, uh, the tooling that we use and put the processes in place and change how we work to really be able to deliver that at speed. So um, at the start in terms of understanding different audiences, when we're at that planning stage, really lent into um, AI survey analysis, uh, to produce some of those insights. And then when we got to the um, actual creative process for each of the campaigns, it was, I think about um, letting Go of some of um, the crutches that maybe previously leant on as a kind of consumer insights person. So moving away from a half an hour debrief where you've got time to really polish the presentation and work everything out and really having to lean into um, fast communication, it uh, might be slack, it might be just talking through results, it might be a two by two from a zappy test, um, and really just kind of embracing that speed.

Speaker B: And Ollie, you're the creative genius behind these campaigns. Tell us about how you're absorbing this insight and this understanding and how that enables you to make campaigns that work in different markets with different target audiences whilst retaining some sense of uh, central uh, creative vision.

Speaker A: Yeah, I think it was um, particularly useful working across such different markets which all had such different um, such different needs and wants. And um, I think the insights really helped to kind of steer those um, those individual market decisions. And it's not something that I was particularly used to before working at Canva. Um, we worked with local agencies, we worked with local directors. We tried to kind of ground everything within a core local insight. Um, we also have kind of Canva local teams. So like we made sure to test those insights uh, with our kind of local teams. You know it's not for me to say what is authentically Italian or what's authentically uh, authentically French. And I think the key, the key thing in it, I think across everything was like a super collaborative approach, right, where that kind of Canva core, um, that Canva ness that has to exist across everything while being very distinctly local. I think that only comes from um, being very collaborative obviously with Matt and with Insights, but also very collaborative with the agencies, with the directors

Speaker B: making um,

Speaker A: sure that we kind of instill Canva in everything we're putting across, no matter how distinctly local it is.

Speaker B: I mean it's always an interesting tension isn't it? Uh, because you're developing uh, you're trying to create something with a central idea whilst executing locally and you could have turned that round and said let's execute entirely locally and not even have a central idea other than Canva is a brand. Does that discussion happen a lot internally?

Speaker A: I think uh, everything we put out has to be Canva, right? And has to feel like it's from Canva. And I think the distinct approach for these campaigns and particularly the way that we're moving as a business is to speak locally to the people. We don't want to feel like we're turning up as like an Australian company telling you what it is, um, to be Italian. So I think like, inherently the canvas has to come across and I think like one, one key way that we sort of developed on these campaigns is the product always being core to the story. Right. So Canva always has to be the catalyst. It always has to be the thing that, uh, you know, that launches this business. The sudden tone change in the advert, like we were really keen across all of these. No matter what that kind of local insight was that, like, if you extract Canva from that, the advert kind of falls apart. It's not that you could just badge it with a, uh, competitor logo and it will work the same. You know, like, I think the most successful ads we launched really feel like Canva is so integral to the story. It's the only way we could have got from beginning, middle to end is having Canva. And I think as a result of that, everything ends up feeling very Canva, uh, no matter how, uh, local and how hyper specific that celebrity or that insight is or that humor.

Speaker B: That's really interesting. So you've joked before about insight professionals sometimes being the bearer of bad news. You know, we test ads and we say it might not work or it doesn't work or it scores badly, but you're delivering to a team that is trying to, you know, balance that localization, that internationalization. Also making sure that the work cuts through is developing a story has a central Canva theme. How do. Those are complex issues. Right. Uh, and you're, and you're feeding back from consumers. How are you helping those teams not say yes or no to an execution, but develop the idea? How are you making things better?

Speaker C: Yeah, sure. I mean, you'll have to ask Ollie how well I manage that. But yeah, I think there's some, there's some practical things. Right. So, um, and I don't think it's just a challenge when working with the creative team. I think it's anyone that touches the campaign, the whole team are putting a lot of time, put a lot of effort and a lot of love into this idea. Right. So it's entirely natural to, um, uh, sometimes, um, find yourself in difficult conversations if the consumer testing comes back and it's quite a negative result. I think kind of practical things that I've tried to do is first of all just bring the consumer voice into those conversations. I think there's something special about, um, maybe seeing a video of a single consumer talking or, uh, reading through the verbatim comments that, um, gets you beyond, uh, a statistic from a Survey. So trying to bring that in. It's much harder to argue with it if there's a real person on the other end that you're hearing from. Um, and then I also think part of the role as a consumer insights person is um, sort of speaking for or helping people understand what's behind the consumer response. So um, one of the uh, common uh, results for an ad that maybe isn't testing as well is quite rare. I think in my experience that um, you get consumers saying oh I really dislike this aspect or that aspect or I hate this. Right. Much more. Um, common is they just don't engage strongly with anything. Right. It's just kind of ambivalence. Right. So helping the team understand what that means. And these are consumers that are not thinking about canva, uh every day in the same way that we are and are going to be seeing our adverts in cluttered environments and just trying to um, help people interpret the data uh, in that way. Um, so I think there's sort of practical things and then the sort of overarching um, thing that I try to remember is just have a bit of humility about the data. So um, like research has certainly come on a long long way in the past 15 or 20 years. I think there's much better recognition of the role of emotion for example in that. But um, it's an imperfect science still and I think you see this particularly for um, earlier stage testing for example. So quite often we'll test a storyboard, um, and I'm so conscious of not wanting to kill an idea that um, is maybe a little bit different or a bit more challenging because often it can be hard to communicate that in a storyboard. And there's a big gap between what you're able to put on paper and in front of consumers and what actually reaches the market. So um, I'll try to, yeah, I'll try not to kill a really interesting but unusual idea and just to kind of provide the context. And if the creative team have got a really strong conviction about this, we should keep going.

Speaker B: Ollie, it's really interesting the way Matt has also been talking about the delivery of insight, not just a presentation to a team and we all know how political those can get, but delivering it through slack, through an individual video. Has this changed the way uh, the teams navigate and utilize those insights?

Speaker A: Yeah, I think so. I think there's something in it being less of a kind of presentational ta da moment or like you said, you know, this, this kind of block of bad news that everyone's dreading, I think like the collaborative approach we have where Matt can just sort of ping across a little insight that can be like those early sort of ship steers before we have to do like a total course correction. Um, I think are really good and I think have like helped us sort of integrate testing throughout the process. So it's not just, you know, it's not just these kind of big signature make or break moments. It's, you know, it's in these, these little things along the way that we can kind of learn and develop and adapt as we go.

Speaker B: And Ali, I have to ask you, you've spent time in creative agencies and note creative agencies are often quite, um, less uh, enthusiastic about consumer insight as some people in the business community are. Uh, you're now on the marketing side or you're on client side. How has your view and understanding of insight changed over that?

Speaker A: Yeah, it's changed a lot. Um, partly out of necessity, but I think it has been.

Speaker B: And Matt's brilliance.

Speaker A: And Matt's brilliance, of course. Uh, no, I'm definitely, uh, I'm coming around to the idea of testing. No, I think it's, I think it's interesting with um, creative agency side because it is very sort of like, it feels like there's a lot of kind of gut, gut instinct which I think is quite interesting in like the field of advertising, for example, which is so tied to like how a consumer reacts to it. So I think it's. Now I'm, now I'm on the other side. I'm almost more surprised that the. I wasn't exposed to more of it before. Um, and I do, yeah, I think I, uh, think it's interesting. I think a lot of, you know, having been creative side, there's a lot of like great ideas that get lost along the way or get kind of crushed or diluted or you know, you, you start somewhere really strong and by the end, by the time you get to the end of the process, it just kind of feels watered down and lost. And I think part of the reason for that is sometimes it's kind of creatives communicating with non creators. Right? You're really asking, you're asking the client to make a real creative leap. You're like, trust me, this is brilliant. Um, and I think what I've found is when we use testing at its best, it can kind of give a weight to those arguments. It's giving, it's giving a number to that where. And I think like the best, my favorite example of that is like the is the Italy campaign. So we did a full stop motion ad. Right. And that was when that was proposed. Even internally that was something like I was really fighting for and I was like this is amazing. We have to do this, we have to do this. Um, but it was a big leap right to tell you something like that. Such a time consuming process that you know, could take God knows how much budget and time and money and whatever to actually do this well and bring it to life. But I think the minute we'd like tested it and got the numbers and it sort of passed with flying colors, that kind of resistance falls away because it's like, you know, um, we've got the data to back it up. So I think that's inside which has really sort of aided the creative I guess.

Speaker B: And Matt, how have you tried to work particularly with the creative teams? Obviously most of the time we're working with marketing teams but particularly with the creative teams to help them benefit from the consumer insight rather than get turned off by it.

Speaker C: Yeah, I think um, it's certainly what Ollie spoke to there. Right. Being able to give people just sort of confidence and uh, provide a little bit of objectivity in a way just from we're speaking to 400 consumers or whatever it might be, um, about something that can otherwise um, uh, be a uh, heated kind of argument internally. So I think that's a big part of it. Um, and I think obviously not every advert tests were uh, straight away. And so I think it's also about trying to um, uh, find the places where the insight can give a bit more ah, kind of constructive direction. Um, but then trying to do that without trying to give the answer. Right. So um, I'm a big believer in research is a fantastic unlock for um, identifying or maybe this part of the ad isn't quite landing as we thought or maybe we thought this currency was going to be really well received and not or the emotion isn't coming through in this part for whatever reason. Um, and research can tell you that and maybe it can tell you what consumers do take out of the ad. But what it can't do is tell you what the answer is or at least you shouldn't be using research in that way. So I think it gives you the um, kind of creative challenge to solve but then it's over to Oli and team to work out. Okay, um, we know we need to increase branding for this ad. Um, let's think of some really creative solutions to do that.

Speaker B: Um, let's talk about creative a bit. Ollie. So canva's mission is to make design accessible to everyone. And AI accelerates that in a real way. We all know that. But your own research shows consumers increasingly feel AI generated advertising is missing its soul. How does a company build on democratizing creativity thinking about that tension? And does it change how you use AI in your own work?

Speaker A: Canva ultimately, uh, is an AI design tool, and that's not something we can shy away from. But I think it does carry a lot of, you know, AI at the moment does carry a lot of baggage, particularly in like the creative space, a lot of negative baggage. And um, yeah, I think it's a tension we're very aware of. And I think like, again, using the Italy campaign as an example, I think the way we navigated that is we kind of lent into that tension. Right? It's like there was something really interesting in essentially marketing, um, an AI design tool with a stop motion approach, which is like the most lo fi, unautomated, painstakingly slow process you can imagine. But there's a real sort of craft and a beauty to it. Uh, and I think like, in doing that, it's sort of like it humanized, it humanized the product and showed the sort of emotional impact rather than this sort of like blanket, slick AI ad. And I think it's important for us to like, we're, we're not, you know, at the moment, we're not using AI in our ads. Um, but we are ultimately advertising AI. And I think kind of being aware of that and being aware of that tension does actually create some really interesting ads and creative. I mean, I think in terms of like, how we're, how we use it internally, like one of the biggest shifts for me is around you touched on it at the up top. But like storyboards has been like a huge thing for me that even in the last year, like the development with that has been insane. Like the fact that we can now, within a number of days or a day even like produce storyboards that are so close to how well we imagine the ad going, right. And there's still a big process beyond that. They continue to develop, directors have their take on it, you know, but I think we can. What's great now is we can really like narrow the gap between, uh, what the creatives want to put across and what the consumers see. You know, we're not asking anyone to take a creative leap, which I think is often where, you know, some of the feedback can just fall flat because you're, you know, you're, you're Saying, hey, trust me, this is going to be, this is going to be super cool. You know, I think AI in that sense as a tool has been really useful because we can just literally put in front of the consumer exactly what, at that stage we see this story being and getting as close to that end creative as possible. Um, so that for us I think has been a real game changer just in like getting some of the more kind of left field ideas across the line. Um, because you no longer have to have a creative leap.

Speaker B: Yeah, I think we've talked about it before. The core of the creative idea can be particularly let down in the execution. And obviously the consumers are judging the execution. And so if you can have multiple executions, that allows the, the idea at the top more opportunity to shine. Um, then, then that becomes a really interesting way of advancing. We were at Cannes, I was at the Canva, uh, Beach, Beach Hut at Cannes a few weeks ago. And I think there was a lot of talk. There's a lot more, less nervousness this year about AI than there was say a year or so ago. It felt more like people were seeing it as a tool and utilizing a tool. And I thought the work this year was really interesting. It was very human. Uh, a lot of the uh, campaign leading work was about communities and localization and working with influencers. It felt like the community, the creative community had saw where uh, their potential was and didn't see the threat of some of the execution elements as badly. Do you, did you pick that up?

Speaker A: Yeah, I wasn't at Cannes this year, but I, I definitely get a sense of that generally in the industry. I mean, I personally was like a late adopter of AI in terms of, you know, the, the initial thing was like, oh my God, this thing's going to steal my job. And you, you know, you jump on the, on the, the negative.

Speaker B: So you jump into the company.

Speaker A: Yeah, exactly. You get on the inside and ban down the hatches. Um, no, but I think it's like you said, I think using it as a tool to kind of supercharge that creativity is personally where I see it at its most valuable. I think we're still at a point where just AI, AI generated ideas that then go into AI generated visuals that then become AI generated. We get a sense there's something lost, there's a humanness lost. I think for me, where it's most interesting is exactly that as a tool where it's kind of taking my idea and bringing it to life so I can get it across the line with consumers. Or um, you know, or pushing me in interesting directions. But it's, it's a partner, it's not a, it's not replacement. And I think as, I think that's kind of where we need to head with it. You know, it needs to be a creative partner. It's, it's a way to kind of empower us to do even more human, incredible creative work. Hopefully you know, we can stay on that, on the right side of the line, you know, but absolutely, I'm battened in. So I'm um.

Speaker B: I mean obviously the same is happening with research AI. You know, there has been talk about AI taking over research and just using synthetic audiences for everything. Um, but I think increasingly we're just seeing it's an extension, looking, looking forward. Consumer insights are becoming faster, creative tools are becoming more powerful. Campaigns are moving more quickly than ever before. Uh, I'd love both of your perspectives. What do the best partnerships look like between AI Insight and creative? Uh, and what do organizations still need to get right to make that work?

Speaker C: Yeah, I mean obviously you mentioned there like use of AI in research which is increasingly an interesting area.

Speaker B: Right.

Speaker C: Um, I think it's um, like Ollie was saying, with AI in general as a tool, it's got a lot of potential and I think it can help us um, meet some of those challenges that I talked about at the start in terms of just working at pace and being able to um, basically get more consumer centric, um, at scale and quickly. Um, I do think there's something um, there's certainly something special about um, uh, creating advertising that I think AI can't get at. Um, I'm generally very bullish on the um, the role for synthetic sample to play in research. But um, these are all large language models and even if there's some degree of an inner voice or inner thought, uh, to some extent it's still language. And we don't react to uh, advertising in a purely linguistic way. When we hear a piece of music or watch a great ad, it makes us feel away. And large language models aren't um, trying to, or fundamentally capable of filling that gap. Um, so I think there's always going to be this um, role um, for the consumer and also for just great creatives coming up with just really um, interesting ideas because they understand those feelings, they understand um, how it relates and how it makes you feel something. So yeah, as a tool, um, I think it can help us all move much quicker. But we just need to, we need to hold on to that, um, that kind of uh, human truth incentive.

Speaker B: Yeah, definitely Ollie. I mean so both in both consumer insight and creative production have just revolutionized in the last few years. On the back of AI, how do you see that changing the creative process and particularly how is it best to get that right? What's a different way of working in this new world?

Speaker A: The way that kind of Matt, uh, works is key. I think what's been great about working with Matt is like in that kind of insight space there's a trust for the data and there's a trust for the creativity, right? So I think it's like we can use these AI tools to quickly test ideas and get samples and stuff but I think that we can't look at uh, creativity and great creative is not a binary thing. There's not a right and a wrong. It's very subjective. There's a big gray area. And I think the future uh, in the most positive way is kind of using those tools as like miniature steers or ways that we can guide creative in certain ways without it being the kind of defining thing. I think where everything falls apart is when we just rely on that and that becomes the answer. And I think there needs to be space for creatives to trust the data, but also for the data side to trust the creatives. And I think that's where Matt's great as he kind of straddles those lines of he knows when that creative leap still needs to happen. Um, but if it's driven by data and insights, all the better, right? And I think that's when we land at the most the most exciting creative.

Speaker B: So it sounds like we're coming back to the human all the time which is a very nice thing for all of us but particularly seeing uh, as we're all sort of AI advocates and work in AI driven companies. So that's very interesting. Um, now onto our final uh, lightning round, uh, segment, uh, I'm going to ask each of you a few quick hitting customer insight related questions. So you're ready. Matt, firstly for you, what's one consumer insight that's completely changed the way you approach your work?

Speaker C: I don't know if it's like a project specific insight, but I think one of the things that probably influenced me quite early on in my career was um, not treating what consumers say as the answer. And I think if you treat it as like every question is a stimulus and then you get a response and then interpret it. And I think I learned this pretty early on doing a, I've had testing, um, actually and I think that's probably guided how I thought about research since then.

Speaker B: Yeah, no, very good. Um, Ollie, what's one creative idea that became stronger because of consumer feedback?

Speaker A: I think the most obvious example of this would be the, um, on the UK campaign we had this, we had this idea about like rival, rival nail bars, right? Two rival nail bars that are across the street from each other, which felt like really very British. And we were all totally behind the idea and took it to, you know, its logical conclusion. Really cool ad. But there was something that just wasn't landing with consumers. And I think what we worked out was that like this rivalry to us was. So we'd been living it with it so long that we just kind of assumed everyone knew about it and we kind of hadn't laid the foundations for it. So I think, um, we landed on that campaign with like a, it was a very sort of western style, uh, ad and we landed on this sort of cowboy esque female voiceover that really just landed the point. Right. It was like, it opened with like two rival nail salons and you're in. And it was amazing how that immediately shifted the numbers. And it was because we'd been living with it so long, we're like, well of course, you know, they're two rival nail salons. Um, but yeah, that was very driven by insight.

Speaker B: Excellent, excellent. Matt, what's one mistake organizations still make when using consumer insights to evaluate or work on creative.

Speaker C: I think going back to um, something that Ollie was talking about or touched on, um, I think it's a mistake if you're only doing testing sort of towards the end of the process because there's so much you can learn early on. Like there might be uh, some insight into how the, the storyboard was resonating that you find yourself going back to and pulling on when you're doing the final edits or these just small steers about this aspect of the ad didn't quite work. So I think you're missing an opportunity. Um, if you leave it to the end, it should be part of the process.

Speaker B: Great. And Ollie, a very simple one for you. What's one thing AI will never replace in the creative process?

Speaker A: The unexpected. I think AI is very good at, uh, building on what we've already done. And I think if we think of some of the best ads, some of the things over the past 30 years, the ads that really stick with us, they are mad and unlike anything we've seen. And you can't quite put a, can't quite put your finger on why they work. But they do. And I think that for now still needs that kind of human touch and AI can't, can't quite nail it. Hopefully ever.

Speaker B: Not going to put a gorilla playing drums.

Speaker A: Exactly. That's the first thing that comes to mind.

Speaker B: Right.

Speaker A: Or two kids wiggling their eyebrows, you know. Yeah.

Speaker B: Okay. And then for both of you, starting with Matt, what's one habit consumer Insights and creative teams should adopt if they want to uh, build a better working relationship?

Speaker C: I think um, one of the benefits of just like the volume and speed of, of uh, brand campaign work that we did this year is um, coming out of all that we've now got um, a really nice uh, sort of library of learnings.

Speaker B: Right.

Speaker C: And learnings from creative testing, um, are never going to be in, applicable in every case because it's got to be right for the ad and the market and so on. Um, but I think just trying to develop those libraries of learnings and iterating on them, um, and then it gives you shortcuts. Right. So as we're um, next time we have a particularly creative um, problem that we need to solve we've learned a lot about. We could try adding voiceover here or uh, let's extend the product sequence here and a few kind of shortcuts to try.

Speaker B: Brilliant. Actually, I've finished with you Ollie. What's the one thing that marketing and Insight teams need to do together in the next 12 months to help your company win with consumers and grow their business?

Speaker A: For me it's just continuing to develop that relationship between the two and I think it's something we're like Matt touched on. It's something we're kind of, we've had to learn very fast over you know, large number of campaigns over a very short space of time. Um, and I think getting that balance between you know, like consumer testing shouldn't, uh, it's not a binary thing that defines creative and, and equally great creative, you know, doesn't come from like being a, ah, being a cookie cutter and just sort of following uh, exactly what consumers, consumers say. So I think we're definitely getting closer to that, that sweet spot. Um, and yeah, I'd just love to continue working with Matt and um, learning as we go, um, how to create amazing creative.

Speaker B: Brilliant. Perfect way to wrap things up. Uh, thanks to canva's Matt Harris, research and insight lead for Europe and Ollie Bussell, creative lead for Europe, for joining us. If you'd like to contact either of them, you can find a link to their LinkedIn profiles in our show notes or at InsideInsightPod.com or you can visit their company website@canva.com if you haven't subscribed yet and want a regular stream of research and insight knowledge in your podcast feed, hit that subscribe button in your podcast app now or follow us on YouTube. Okay, that's all for today. See you in the next episode of, uh, Inside Insights.

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