Zeer SPINS / intent / spins

SPINS

201-500 employees·Chicago, Illinois, United States·spins.com

Observed, not inferred · updated weekly

Buying intent

16 tracked signals | Top 11 topics are below | Support and Marketing are carrying most of it.

16signals · 30 days
11topics tracked
36.36%attributed to a team

Attention by team

LinkedIn activity, by team

Where SPINS's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Point Of Sale
Trade Show
Big Leap
Business Outcomes
Conference
Support
Low50% of team Support to Artificial Intelligence: Low, 50% of this team's signals
Low50% of team Support to Point Of Sale: Low, 50% of this team's signals
Support to Trade Show: no signal
Support to Big Leap: no signal
Support to Business Outcomes: no signal
Support to Conference: no signal
Marketing
Low100% of team Marketing to Artificial Intelligence: Low, 100% of this team's signals
Marketing to Point Of Sale: no signal
Marketing to Trade Show: no signal
Marketing to Big Leap: no signal
Marketing to Business Outcomes: no signal
Marketing to Conference: no signal
Sales
Sales to Artificial Intelligence: no signal
Sales to Point Of Sale: no signal
Sales to Trade Show: no signal
Low100% of team Sales to Big Leap: Low, 100% of this team's signals
Sales to Business Outcomes: no signal
Sales to Conference: no signal
Others
High57% of team Others to Artificial Intelligence: High, 57% of this team's signals
Others to Point Of Sale: no signal
Low14% of team Others to Trade Show: Low, 14% of this team's signals
Others to Big Leap: no signal
Low14% of team Others to Business Outcomes: Low, 14% of this team's signals
Low14% of team Others to Conference: Low, 14% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
96%
last
2d ago
Point Of Sale
LinkedIn
Low volume
96%
last
11d ago
Trade Show
LinkedIn
Low volume
94%
last
11d ago
Big Leap
LinkedIn
Low volume
98%
last
10d ago
Business Outcomes
LinkedIn
Low volume
98%
last
11d ago
Conference
LinkedIn
Low volume
98%
last
12d ago
Digital Shelf Analytics
LinkedIn
Low volume
92%
last
24d ago
Brand Partnership
LinkedIn
Low volume
96%
last
10d ago
Hiring
LinkedIn
Low volume
98%
last
12d ago
Enterprise Data Management
LinkedIn
Low volume
98%
last
4d ago
Professional Development
LinkedIn
Low volume
83%
last
4d ago

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We track the full taxonomy across every account in the graph — including themes not shown on this page.

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Who's active at SPINS

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others4 active
researching Artificial Intelligence
in
Leadershipresearching Business Outcomes
in
researching Enterprise Data Management
in
researching Conference
in
Sales2 active
researching Brand Partnership
in
Directorresearching Digital Shelf Analytics
in
Marketing2 active
Leadershipresearching Artificial Intelligence
in
researching Professional Development
in
Support1 active
researching Artificial Intelligence
in
Engineering1 active
researching Hiring
in

Primary products / business lines

LinkedIn company profile

At SPINS, we believe there’s more than meets the eye to data. As the leading provider of retail consumer insights, analytics and consulting for the Natural, Organic and Specialty Products Industry, we strive to transform raw data into intelligent and actionable business solutions. Our mission is to maximize the value of information for growing the natural products industry. We carry out our miss

Top accounts researching SPINS

names withheld on the public page

These are companies whose own people brought up SPINS unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

129,094 companies · 649,540 people are researching Artificial Intelligence

SPINS's own team shows 6 signals on this topic. No one outside SPINS has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Point Of Sale477 cos · 1,164 people
  • Trade Show4,017 cos · 10,134 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

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Company-size breakdown and buyer seniority mix for accounts researching SPINS.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 3 people; Customer Success — 2 people; Leadership — 1 person; Marketing — 1 person; Sales — 1 person

What's been said

public posts by SPINS's team

No public post naming SPINS has surfaced in the past year, so this is what SPINS's own team is posting about publicly — their topics, in their words.

LinkedIn

"Too much of job posting is bad, but too much good whiskey job posting is barely enough," Elevation Recruitment with a blend of 'Mark Twain'

May 2026
LinkedInArtificial Intelligence

We are living through a recalibration of patience. ChatGPT summarizes a 40-page report in seconds. Gemini connects your docs, your calendar, your email. Claude reasons through a complex problem before you've finished your coffee. The bar for "intuitive" has been raised permanently, and every tool we touch is now measured against it. For those of us in CPG insights, the expectation has followed us to work. Clients who spent a weekend prompting AI tools are now sitting across from panel data platforms, POS dashboards, and survey portals asking a reasonable question: why isn't this easier? It's a fair question. And the honest answer is: it will be. The data providers are building. Integration is coming. The one-stop shop is closer than it's ever been. But here's what concerns me about the waiting room we're all sitting in. The "patience gap" is the distance between what AI has trained us to expect and what our tools currently deliver. And it is quietly eroding appreciation for the thing that has driven value in this industry for decades: the trained analytical mind that pulls a coherent story out of messy, disparate data. That skill was never about the tools. It was built against them. I come from a musical background that has always shaped the way I think about my work in Consumer Insights. More on that in the months ahead. But the analogy that keeps coming to mind is this: Suno can now generate a full, listenable song from a single text prompt. The output is genuinely impressive. And yet, when the music needs to mean something, you call the producer. The one with the ear, the taste, the thousand invisible decisions that no prompt has learned to make. The analysts who were trained in the hard version of this work, before the integrations, before the intuitive UX, before the AI layer, will be the most valuable people in the room when the workflow finally becomes effortless. The tools will get easier. The judgment doesn't come with the software.

Apr 2026
LinkedIn

Radical traffic growth for retailers from AI. And the traffic converts better too. https://lnkd.in/gaMMCTQr

Apr 2026

About this data. SPINS (spins.com). Department attribution is 36.36%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries