Zeer
DATA POEMDATA POEM buying intent
12 tracked signals — top 9 topics below.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a DATA POEM employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.
Topics being researched
30-day windowAll tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.
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We track the full taxonomy across every account in the graph — including themes not shown on this page.
Top accounts researching DATA POEM
names withheld on the public pageCompanies whose people mention DATA POEM in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.
No buyer signal yet for this account
Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.
Buyer profile
company size · seniorityHow big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.
What's been said
public posts mentioning DATA POEMReal public activity that surfaced DATA POEM in a tracked topic. Not a sentiment score — just what people actually wrote.
April 1st I took the stage at the Marketing Automotive Conference & Awards at the New York International Auto Show to present "Death to Silos." The argument: automotive CMOs manage more demand drivers than any other vertical: brand, performance, paid, earned, shared and owned, sponsorships, events, dealer co-op, local activation. And nearly all of them measure each one in isolation. → National brand media runs separately from dealer performance. → OEM strategy is disconnected from dealer co-op. → Pricing and incentives optimized apart from media. Every team reports different outcomes from the same spend. Forecasts built on siloed data don't add up to a unified growth plan. What we showed: what changes when every demand driver - from national media to local dealer activation - lives inside one unified causal model. Not better dashboards. A fundamentally different way to plan. The silos had a good run. Decision AI is ending them. Thank you to MediaPost and the Marketing Automotive Conference & Awards team for having us at Javits Center . If you were there and we didn't get to connect - DM me. Happy to continue the conversation.
Your media ROI says up. Your trade lift says up. Your quarterly revenue says flat. Nobody's lying. The models just don't know each other exist. Every retailer is managing a system that was never designed to work together. -> National brand and performance media planned separately. -> Retail media reported by the platform. -> Paid social disconnected from in-store impact. -> CRM blind to what media is doing. -> Promotions isolated from pricing. -> Loyalty data sitting apart from media performance. Every driver optimized in its own silo. Nobody optimizing growth across all of them. This is a learning architecture problem. POEM365 ends it. One pre-trained causal model that unifies every retail demand driver - national brand, performance media, retail media, paid social, CRM, loyalty, promotions, trade, pricing, and markdowns - into one system for growth planning, forecasting, and optimization. Not correlation. Causation. What drives growth, what happens when you act, and exactly where your next dollar has the highest impact. For CMOs: connect every dollar to traffic, basket size, and customer lifetime value simultaneously. ✓ Pre-trained on 250B+ consumer transactions across 15,000 brands. ✓ Outperformed the M5 Forecasting Competition winner - run on Walmart data. ✓ 40+ Fortune 500 brands. $2B+ in growth budgets planned. Live in 6 weeks. One model. Every demand driver. The whole truth. Running a fragmented retail measurement stack? Reply or email growth@datapoem.com - we'll run POEM365 on your data.