# Charlie Grinnell

Charlie Grinnell writes and speaks about how brands can understand audience behavior beyond their own data, use creator and community insights, and make marketing decisions based on evidence rather than internal assumptions.

- Profile: https://b2binfluencer.marketing/creators/charlie-grinnell/
- LinkedIn: https://www.linkedin.com/in/charliegrinnell
- Median of last 8 posts: 11 reactions, 1 comments (checked 2026-11-02)
- Topics: artificial-intelligence, creative-testing, creator-marketing
- Based on 8 dated posts, latest 2026-10-02

## Summary

Charlie Grinnell is most useful for talks and workshops on audience research beyond a brand's own data.

- Best for: Financial-services marketing teams seeking a practical session on customer trust outside the CRM.
- Not for: Consumer brands wanting a paid creator-led social campaign with sponsored posts and usage rights.
- Check first: Confirm recent fintech or financial-services session recording, deck, post-event feedback, and audience roles.

### Takeaways

- Every brand has a dark market its own data cannot see.
- Influence is whoever the audience listens to when deciding, not follower count.
- A real audience signal appears in more than one place and is big enough to matter.

## Main ideas

- **Every brand has a "dark market" its own data cannot see**: Grinnell argues that the behaviour happening around a category is bigger than what the brand measures, and that it never appears in CRM records, focus groups, or the brand's own social listening. The buyer is often there rather than in the tracked funnel. The fix they propose is not simply collecting more internal data but building a loop: monitor behaviour outside the brand's walls, measure it so it becomes more than a feeling, then adapt the plan even when the findings contradict the plan already made.
- **Influence is whoever the audience listens to when deciding, not follower count**: Grinnell argues that creator shortlists sorted by follower count systematically exclude the voices customers actually follow, and that brands overpay for the least attention. The supporting claim is that influence is not a person at all — it is whoever the audience already listens to at the moment of decision, which can be a creator, a subreddit, a newsletter, a news outlet, or a relative. Instead of a follower filter, they propose three questions: who does our audience already listen to when deciding, is anyone in our category actually winning with creators or are we assuming, and which voices could mention us without it reading like an ad. None of those answers appear in a platform report.
- **A real audience signal shows up in more than one place and is big enough to matter**: Drawing on time as head of social at Aritzia, Grinnell describes teams pulling a behavioural dataset, finding the first place a segment looks distinctive, and building a media plan without asking whether the finding is real. Two tests decide it: the signal appears in more than one place at once — interests, brands and creators pointing the same direction — and it is big enough to matter, because a tiny over-indexed niche is a trap even when the pull is genuine. What survives both tests is worth budget; what does not is a chart that looked interesting in a meeting.
- **Trust is moving from institutions to creators, and the CRM cannot see it**: In a short event post aimed at financial services, Grinnell argues that a client may already trust a fintech app more than the brand, and that relationship-tracking systems were never built to see trust move that way. A CRM can flag a renewal call; it cannot see that the client has started trusting someone else more. The claim is that creators win that attention with content built for how people actually behave online rather than what a client profile says about them.
- **Creative decisions should be settled by audience behaviour, not by who is most senior**: Grinnell treats notes like "can we make the font bigger" and "can we add loud music" as guesses, and observes that without evidence in the room, rank becomes the tiebreaker — so good ideas die because the loudest or most senior person did not like them. Their argument is that testing moves the argument out of the meeting entirely: make variations, put them on the platform, and let retention decide, because choosing to keep watching is the audience choosing to spend time with the brand.
- **AI can collect words but not meaning, so a good system admits what it does not know**: Grinnell separates context — what was said — from what the post credits their friend Jared Henriques with calling "contextual texture": the inside jokes, shared references and cultural knowledge nobody ever wrote down. The risk is that an AI tool confidently summarises something it never understood, and never signals the gap. Their proposed standard for AI-assisted research is honesty about uncertainty: source what you can, mark what you cannot, and keep a person in the loop.
- **Hand the platforms the mechanics; the memorable part still has to come from the brand**: In a recurring monthly roundup format, Grinnell scans platform and consumer-culture changes and draws one conclusion: as platforms absorb targeting, creative and even checkout, what remains a brand's own job is the part people remember. The format itself is a stated priority — pattern-spotting across several shifts at once rather than one announcement at a time — and it doubles as a platform-risk briefing for marketing teams.

## Work to read

- [What shaped consumer culture this month, in 60 seconds](https://www.linkedin.com/posts/charliegrinnell_what-shaped-consumer-culture-this-month-activity-7520215116366270464-IA7w)
- [Can we make the font bigger? Can we add loud music?](https://www.linkedin.com/posts/charliegrinnell_can-we-make-the-font-bigger-can-we-add-activity-7520899799404011520-fKgZ)
- [I was more nervous before this talk than I've been in years](https://www.linkedin.com/posts/charliegrinnell_i-was-more-nervous-before-this-talk-than-activity-7511827360409722881-co_b)
- [A client of yours already trusts a fintech app more than they trust you](https://www.linkedin.com/posts/charliegrinnell_a-client-of-yours-already-trusts-a-fintech-activity-7507471150411669504-3VUt)
- [I'd bet your next creator shortlist will be sorted by follower count](https://www.linkedin.com/posts/charliegrinnell_id-bet-your-next-creator-shortlist-will-activity-7518696389992873987-WRzd)
- [If I tell you 'I'm all sweaty, I was watching Cops'](https://www.linkedin.com/posts/charliegrinnell_if-i-tell-you-im-all-sweaty-i-was-watching-activity-7513639299259727872-8jEF)
- [Eight years ago as the head of social at Aritzia](https://www.linkedin.com/posts/charliegrinnell_eight-years-ago-as-the-head-of-social-at-activity-7514377928118325248-6HKH)

## Brand relationships

- **Aritzia** (employment)
- **RightMetric** (employment)
- **SocialPacific** (mention)
- **Digital Marketing for Financial Services Midwest** (mention)

## Partnerships

No sponsorship package, rate card, media kit, or published sponsor policy appears in the material reviewed here, so there is no documented paid placement format for a buyer to plan around. What the posts do document is Grinnell as a speaker and session presenter: he has talked through dark-market audience research at industry events, including SocialPacific and Digital Marketing for Financial Services Midwest in Chicago, and he offers his slide deck by direct message. For a fintech team weighing a talk or workshop, that is the practical route — an invitation to present or run a working session rather than a sponsored post. He also writes as an adviser on creator and influencer selection, arguing that influence is whoever an audience already listens to at the moment of decision, that follower-count shortlists usually miss those voices, and that a signal has to survive tests of repetition and scale before it deserves budget. That is the subject matter he would bring to a workshop; it is not a service sold through branded placements. Contact runs through LinkedIn, where the posts invite direct messages for the deck and for his team's approach to giving AI tools usable context. No partnership inquiry page, email, or submission form is supplied. This records an absence of documented offers in the reviewed posts; it is not a claim that Grinnell never accepts sponsorships.

## Alternatives

- Caroline Moylan: Caroline Moylan is the stronger choice when the team already knows who it needs to reach and wants an operator to build the campaign. In one reviewed post, PilotShip Partners, a financial-services firm working in capital introduction, brought Caroline Moylan in as fractional head of growth; the post reports search, AI-search and website work plus a LinkedIn personal-brand push, 430% traffic growth over five to six months, 47 qualified website leads, and a number-one ranking on brand terms. A second post argues that premium DTC brands are using LinkedIn for the consideration stage, citing creator content consumption among B2B buyers and LinkedIn influencer marketing driving direct sales. For a fintech team that needs traffic, leads and a channel plan run for them, this is direct execution evidence.
- Greg Dorban: Greg Dorban is the better choice when the brief is a procurement or operations spend review. The two reviewed posts argue that a procurement process can run well and still produce a poor accommodation outcome when a fixed model meets a moving requirement, and that workforce accommodation is worth centralising and managing as a serious spend category with meaningful hard cost on the table. A buyer whose real question is how to control a large variable cost across sites, bookings and changing headcount is closer to this material.
- Bobby Macey: Bobby Macey is the stronger choice when the team needs a video-first content and search engine built and run. The reviewed posts show the work after a video goes live: embedding it in a related blog post, linking to it from other site pages, feeding it into email journeys, and cutting five or more Shorts or Reels across Instagram, Facebook, TikTok and YouTube. A second post describes a four-year YouTube programme for a knee-pain clinic that it says took subscribers from under 300 to more than ten times that number and raised website clicks from about 3,000 to over 60,000 a month. A team whose buyers search for a solution and that needs someone to publish, repurpose and measure video has a concrete case to check.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/