Zeer CommerceIQ / intent / commerceiq
Observed, not inferred · updated weekly

CommerceIQ buying intent

15 tracked signals — top 9 topics below — Engineering and Marketing are carrying most of it.

15signals · 30 days
9topics tracked
83.33%attributed to a team

Attention by team

taxonomy_intent_rollup × social_profile.role

Every tracked signal from a CommerceIQ employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.

Data Lakehouse
Artificial Intelligence
Azure Databricks
Financial Services
Product Analytics Software
Access Control
Engineering
338% Engineering to Data Lakehouse: 3 signals, 38% of this team's attention
113% Engineering to Artificial Intelligence: 1 signals, 13% of this team's attention
338% Engineering to Azure Databricks: 3 signals, 38% of this team's attention
00% Engineering to Financial Services: 0 signals, 0% of this team's attention
00% Engineering to Product Analytics Software: 0 signals, 0% of this team's attention
113% Engineering to Access Control: 1 signals, 13% of this team's attention
Marketing
00% Marketing to Data Lakehouse: 0 signals, 0% of this team's attention
00% Marketing to Artificial Intelligence: 0 signals, 0% of this team's attention
00% Marketing to Azure Databricks: 0 signals, 0% of this team's attention
1100% Marketing to Financial Services: 1 signals, 100% of this team's attention
00% Marketing to Product Analytics Software: 0 signals, 0% of this team's attention
00% Marketing to Access Control: 0 signals, 0% of this team's attention
Support
00% Support to Data Lakehouse: 0 signals, 0% of this team's attention
1100% Support to Artificial Intelligence: 1 signals, 100% of this team's attention
00% Support to Azure Databricks: 0 signals, 0% of this team's attention
00% Support to Financial Services: 0 signals, 0% of this team's attention
00% Support to Product Analytics Software: 0 signals, 0% of this team's attention
00% Support to Access Control: 0 signals, 0% of this team's attention
Unclassified no dept on file
00% Unclassified to Data Lakehouse: 0 signals, 0% of this team's attention
150% Unclassified to Artificial Intelligence: 1 signals, 50% of this team's attention
00% Unclassified to Azure Databricks: 0 signals, 0% of this team's attention
00% Unclassified to Financial Services: 0 signals, 0% of this team's attention
150% Unclassified to Product Analytics Software: 1 signals, 50% of this team's attention
00% Unclassified to Access Control: 0 signals, 0% of this team's attention
LowHigh

Topics being researched

30-day window

All tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.

Data Lakehouse
LinkedIn
High volume
98%
last
24d ago
Artificial Intelligence
LinkedIn
High volume
98%
last
7d ago
Azure Databricks
LinkedIn
High volume
98%
last
24d ago
Financial Services
LinkedIn
Medium volume
98%
last
22d ago
Product Analytics Software
LinkedIn
Medium volume
98%
last
28d ago
Access Control
LinkedIn
Medium volume
98%
last
24d ago
Product Strategy
LinkedIn
Medium volume
98%
last
22d ago
Digital Marketing
LinkedIn
Medium volume
98%
last
22d ago
Digital Transformation
LinkedIn
Medium volume
98%
last
22d ago

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Who to contact at CommerceIQ

verified title on file

People at CommerceIQ whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.

Engineering1 active
SDE-II
researching Data Lakehouse
in
Support1 active
Customer Success Director (Amazon, Walmart Advertising) - Retail Media Management
directorresearching Digital Marketing
in
Unclassified1 active
Founder and CEO
executiveresearching Artificial Intelligence
in
Marketing1 active
SVP and GM of Growth
researching Financial Services
in

Top accounts researching CommerceIQ

names withheld on the public page

Companies whose people mention CommerceIQ in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.

Not yet available

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 · seniority

How big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.

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

Company size breakdown
Buyer seniority mix
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Not yet available

No buyer signal yet for this account

Not enough real data was found to build a company-size or seniority breakdown for this account.

What's been said

public posts mentioning CommerceIQ

Real public activity that surfaced CommerceIQ in a tracked topic. Not a sentiment score — just what people actually wrote.

LinkedInArtificial Intelligence

Walmart just bet on open. Amazon bet on closed. Two retailers, two opposing bets on agentic commerce infrastructure. One common problem for every CPG leader. The data under the headlines: Morgan Stanley's AlphaWise survey puts LLM adoption at nearly 50 percent in the US, with AI agents already intermediating 10 to 20 percent of ecommerce transactions. McKinsey projects agentic commerce becomes a $3 to $5 trillion global channel by 2030. IBM Institute for Business Value: 45 percent of consumers already use AI for at least part of their buying journey. The strategic split that matters more than the numbers: In January, Walmart plugged its full assortment into Google's Unified Commerce Protocol. A shopper tells Gemini what they need. The agent pulls Walmart SKUs, checks availability, and closes the transaction. Walmart.com is never opened. Amazon chose the opposite path. Rufus, Buy for Me, and billable Sponsored Prompts are a proprietary agent stack that keeps every interaction inside Amazon's walls. Your SKU now has to be discoverable by two different agent architectures, through interfaces you don't control, under rules that shift every quarter. Three questions for ecommerce leaders at brands this week: 1. Have you audited how your top 50 SKUs show up in a Gemini-initiated Walmart search versus a Rufus-initiated Amazon search? Different agents. Different answers. Same category. 2. Is your PIM producing structured, agent-readable attributes, or content still tuned for an SEO era that is ending? 3. When 20 percent of your transactions are agent-mediated, who on your team owns that channel today? The brands that win the next three years will not be the ones with the most retail media budget. They will be the ones whose product data is legible to every agent that matters. Open and closed. Walmart and Amazon. And the next three that haven't launched yet. If you are a VP of Ecommerce at a CPG brand this morning, what is the first thing you stop doing so your team has the capacity to own agent discoverability? #AgenticCommerce #AIinCPG #Ecommerce #RetailMedia #CPG

Apr 2026

About this data. CommerceIQ (commerceiq.ai). Signals derive from taxonomy_intent_rollup joined to social_profile.role. Department attribution is 83.33%; the remainder is shown honestly as its own Unclassified row rather than hidden. Updated 2026-08-24T04:00:02.375Z.

Not yet computedPer-team narrative summaries