Data leaders don't trust a pitch.
We bring them a number they can check.
VPs of Data, Heads of Analytics and Chief Data Officers filter out anything that sounds like a sales deck before they finish the first line. We run outbound built on a real signal, a data hire, a warehouse migration, a tool being sunset, not a generic feature pitch, and build the comparison and benchmark pages that show up when a data leader actually searches for a platform like yours.
Proof in data and analytics companies
79 meetings in 12 months, outbound and inbound compounding
Data and analytics buyers do not reply to a generic 'unlock your data' pitch any more than marketing leaders do. SegMetrics reached data-driven marketing teams with stack-specific outbound and produced 79 meetings and an organic channel that took over by month eight, the same approach that works with VPs of Data and Chief Data Officers evaluating a new platform.
Read the SegMetrics case study →Outbound for data and analytics companies
Outreach built on a real data signal, not a feature list
A generic 'unlock your data' email gets deleted before the second line. We target VPs of Data, Heads of Analytics and Chief Data Officers at companies going through a real trigger, a new data hire, a warehouse migration, a tool being sunset, and write to that trigger with specifics, not a demo pitch.
- Signal-based targetingCompanies hiring for data roles, migrating warehouses or replacing a legacy BI tool, pulled from job posts and public signals. Verified before a single send.
- Infrastructure in your nameDomains and mailboxes you own, set up and warmed properly, so deliverability holds as volume grows.
- Specific, checkable copyOne line on the trigger, one line on the number it changes. No generic data-platform marketing.
- Reply handling and reportingReplies answered by someone who understands the stack, not a script. Weekly report on signals targeted, replies and meetings.
Result: qualified meetings with VPs of Data, Heads of Analytics, Directors of BI and Chief Data Officers evaluating new platforms on your calendar.
Inbound and AI search for data and analytics companies
Be the platform that shows up when a data leader searches
Data leaders research before they reply to outreach or take a demo: benchmarks, comparison pages, what other data teams say. We build the pages and the AI visibility that show up in that research.
- Comparison and benchmark pagesOne page per competitor or category question a data leader actually searches, with real numbers, not marketing copy.
- Case studies that read as proofNamed clients with real numbers, structured so Google and AI engines can cite them.
- Schema and technical trust signalsOrganization, Service and FAQ schema so AI engines can read and recommend the platform accurately.
- AI visibility measuredEvery two weeks: who ChatGPT, Perplexity and Google name for your category.
Result: the buyer who gets your cold email searches your name and finds proof, not silence.
What we fix
Four data and analytics problems. One system.
What data and analytics founders tell us on the first call, and what we do about each.
Data leaders get the same three sentences from ten vendors a week.
Copy tied to a real signal, a new data hire, a warehouse migration, a tool sunset, not a feature list.
A VP of Data can champion a tool, but Engineering and Finance both have to sign off.
Parallel outreach to the technical evaluator and the budget holder, not one email to one title.
Review sites and competitors own the 'alternatives' and 'versus' searches.
Comparison and benchmark pages built around the exact query, hosted on your own domain.
Shared sending tools and generic copy get flagged fast at scale.
Domains and mailboxes in your name, conservative volume, and copy that reads as researched, not mass-sent.
Case studies
Results for data and analytics companies
Named clients, real numbers. Every card links to its own case study.
What is lead generation for data and analytics companies?
By Tanveer Sinngh, Founder at Montazzo · What we run it on
The stack, so you know what you are getting
Tool-agnostic, strategy first. We bring the infrastructure, the data and the sending platform. You own the domains and the lists.
Instantly
Clay
Apollo
ApifyAI Ark
HeyReach
LinkedIn Sales Navigator
Claude
Google Workspace
Search Console
Netlify
SupabasePlus the sourcing, scoring and reply-handling pipelines we built in-house, because the off-the-shelf ones were not good enough.
FAQ
Questions data and analytics companies ask us
Yes, when it is tied to a real signal such as a data hire, a warehouse migration or a tool being sunset rather than a generic feature pitch. The same signal-based approach produced 79 meetings in 12 months for SegMetrics, an attribution platform selling to marketing and data leaders.
A new data or analytics hire, a warehouse or BI tool migration, a funding round or a competitor's tool being deprecated, matched to what your platform replaces or improves. These signals correlate with an active evaluation window, not just title fit.
Typically VPs of Data, Heads of Analytics, Directors of BI and Chief Data Officers, depending on your product, most often at companies in the size band where the signal is strongest.
Often two to four months given the technical evaluation most data platforms require, longer than simpler SaaS tools. Outbound keeps new accounts entering that cycle every week rather than relying on one campaign.
Yes, same system, US buyers, reporting in your timezone.
No. We build the outbound and inbound pipeline. The product stays with your team.
Let's build your data and analytics pipeline.
A 30-minute call. We look at what you have, tell you what we would run for data and analytics, and you decide.
Let's chat