Zeer Snap Analytics / intent / snap-analytics
Observed, not inferred · updated weekly

Snap Analytics buying intent

27 tracked signals — top 4 topics below — Engineering is carrying most of it.

27signals · 30 days
4topics tracked
88.89%attributed to a team

Attention by team

taxonomy_intent_rollup × social_profile.role

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

Data Warehouse
Snowflake
Data Engineering
Artificial Intelligence
Engineering
1042% Engineering to Data Warehouse: 10 signals, 42% of this team's attention
1042% Engineering to Snowflake: 10 signals, 42% of this team's attention
417% Engineering to Data Engineering: 4 signals, 17% of this team's attention
00% Engineering to Artificial Intelligence: 0 signals, 0% of this team's attention
Unclassified no dept on file
133% Unclassified to Data Warehouse: 1 signals, 33% of this team's attention
133% Unclassified to Snowflake: 1 signals, 33% of this team's attention
00% Unclassified to Data Engineering: 0 signals, 0% of this team's attention
133% Unclassified to Artificial Intelligence: 1 signals, 33% 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 Warehouse
LinkedIn
High volume
88%
last
8d ago
Snowflake
LinkedIn
High volume
88%
last
8d ago
Data Engineering
LinkedIn
Medium volume
98%
last
8d ago
Artificial Intelligence
LinkedIn
Low volume
98%
last
30d ago

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Who to contact at Snap Analytics

verified title on file

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

Engineering4 active
Data Engineer
researching Snowflake
in
Data consultant ( Data engineer)
researching Snowflake
in
data consultant
researching Data Warehouse
in
data consultant
researching Snowflake
in
Unclassified1 active
Data Analyst
researching Snowflake
in
Co-Founder and Global MD
executiveresearching Artificial Intelligence
in

Top accounts researching Snap Analytics

names withheld on the public page

Companies whose people mention Snap Analytics 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 Snap Analytics.

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 Snap Analytics

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

LinkedInData Warehouse

This is the moment that we've all been waiting for. When David Rice and I started Snap Analytics in 2019 our focus was on helping organisations get the most value from their data using modern cloud platforms such as Snowflake . We've since delivered 25+ SAP to Snowflake projects and this announcement means that teams can focus much more time on value creation rather than technical data integration. Having a semantic rich data foundation for the most critical data in an enterprise is huge and means that enterprises can truly deliver AI transformation at scale! #sap #snowflake #ai #snapanalytics

May 2026
LinkedInArtificial Intelligence

Snap Analytics will be at Data Decoded next week. It will be great to catch up with many like minded data professionals and if you want to chat about what it takes to make your data AI Ready then you can come along to booth D42!

Apr 2026

About this data. Snap Analytics (snapanalytics.co.uk). Signals derive from taxonomy_intent_rollup joined to social_profile.role. Department attribution is 88.89%; 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