
Hosted by Anna Furmanov
A show that explores the role that customers play in helping companies build to their next level of growth. Hosted by Anna Furmanov. Visit furmanovmarketing.com to learn more about the host.
276 episodes · publishes weekly · latest 2026-06-17 · ~35 min/episode
Rank
#2544
Substance
64.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#2544 of 6183
Substance
Top 41%
outscores 59% of the index
Building With Buyers ranks #2544 on The B2B Podcast Index with a substance score of 64.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and insight density. Maitri Sheth is a genuine practitioner - early marketing hire at Gong through its hyper-growth phase, now senior PMM at a company with 2,000+ salespeople - and her insights reflect real operational experience rather than thought-leader abstraction. However, she is a senior individual contributor, not an executive or founder, and the depth of insight reflects that seniority level.
Averaged across 1 recently scored episode, with cited evidence.
The episode offers a handful of genuinely useful PMM-specific observations - blank slate syndrome, using Zapier/Airtable/Claude for release workflows, scoring data for 'the weird' not just patterns - but a large fraction of the runtime is filler: tangents about pottery, kids and ChatGPT, the 7 Habits book, and extended agreeable back-and-forth that adds nothing. The useful ideas are real but too thinly spaced across 55 minutes.
“linking my zapier with an airtable where the PMs really had their updates, uh, put in there with their one lines of technical details of what this feature does, linking that ZAP flow with my Claude so that it had all of the information of how to not use jargon words”
“the score is not based on the number of times something was said the score is based on. It could. Emotions that came up or Surprising”
The sharpest original framing - making sales 'co-authors instead of students' and solving 'blank slate syndrome' with customer-workflow playbooks - is genuinely useful, but the majority of claims (use customer language, be outcome-focused, AI needs human QA, don't overwhelm customers) are standard PMM doctrine. The 'look for the weird' idea is explicitly credited to a prior guest rather than originating here.
“making sales feel more like co authors instead of students”
“I feel like there used to be a beauty in a half, in a half broken thought, you know, like, it was fine to have a thought which was lingering on your mind that you would think about in your shower”
Maitri Sheth is a genuine practitioner - early marketing hire at Gong through its hyper-growth phase, now senior PMM at a company with 2,000+ salespeople - and her insights reflect real operational experience rather than thought-leader abstraction. However, she is a senior individual contributor, not an executive or founder, and the depth of insight reflects that seniority level.
“I was an early marketing hire at gong, so I was there for over three and a half years and I really saw the company go through the whole hyper growth phase that it did”
“HubSpot has over 2,000 people in their sales team selling globally across different continents”
A few concrete anchors exist - HubSpot's 2,000-person sales org, 3.5 years at Gong, the Zapier+Airtable+Claude release workflow, a vaguely attributed '80% skip onboarding' stat - but outcome data, revenue impact, conversion numbers, and campaign-level results are entirely absent. Most advice is stated as principle without any measured evidence.
“more than 80% of people click cross on that and never go through those onboarding. Onboarding tours”
“linking my zapier with an airtable where the PMs really had their updates”
The host lands a few sharp follow-ups ('which one?', 'did you actually present it?') and correctly presses on whether AI workflows produce meaningful business results, but she also consumes large stretches of airtime with her own opinions, allows multi-minute tangents about children and schooling, and consistently accepts claims without data or productive pushback.
“like, which, which one?”
“Do you feel like you have a good grasp on how the AI tools and workflows that you're using today, like, tap into actual meaningful business results?”
First period on the Index - history builds from here.
1 scored on substance · 60 tracked in total.
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