Lead Generation for Data & Analytics Platforms
Turn Data Team Evaluations Into Signed Contracts
Every deal in the modern data stack has two buyers — the data team that has to trust the architecture, and the executive who has to justify the spend. We build outbound that reaches both, so technical wins actually turn into closed revenue.
About Us
Built for the Two-Sided Buying Process in Data
Data and analytics platforms rarely get sold with a single champion. A technical evaluator has to trust the architecture — warehouse fit, pipeline compatibility, governance — while a business sponsor has to justify the cost against a build-it-yourself option. We design campaigns that speak to both at once.
Every program starts by mapping your ideal customer's actual data stack — warehouse, transformation layer, orchestration tools — so outreach reaches teams where your platform is a genuine architectural fit, not a mismatched pitch.
Dual-Buyer Mapping
We identify both the technical evaluator and the budget-holding sponsor at each account.
Stack-Fit Targeting
Outreach is segmented by warehouse and pipeline tooling already in place.
ROI-Proof Messaging
Content quantifies cost and time saved versus in-house alternatives.
Warm Handoff to Sales Engineering
Qualified technical conversations reach your team with full context.
Services
Demand Generation for Data & Analytics Vendors
Outbound to Data & Analytics Leaders
Targeted sequences to CDOs, VP Data, and analytics engineering leads, segmented by warehouse and pipeline stack — Snowflake, BigQuery, Databricks, and beyond.
Build-vs-Buy Displacement Campaigns
We target teams whose in-house data tooling is hitting maintenance and scaling limits, with messaging framed around total cost of ownership, not just features.
Technical-to-Executive Nurture
Dual-track nurture that keeps both the technical evaluator and the budget-holding executive engaged through a long, multi-stakeholder evaluation cycle.
FAQ
Common Questions From Data Platform Teams
Our buyers are both a technical data team and a business sponsor — how do you handle both?
We build parallel messaging tracks — architectural and technical proof for the data team, cost and ROI framing for the executive sponsor — coordinated within the same account.
Can you target by data warehouse or pipeline tooling already in place?
Yes — segmentation by warehouse, transformation layer, and orchestration tooling is core to how we build lists, so outreach reflects a genuine architectural fit.
How do you help us compete against a team that built something in-house?
We frame messaging around the maintenance burden and scaling limits of in-house tooling, using total-cost-of-ownership arguments that resonate with the budget-holding sponsor.
The modern data stack is incredibly crowded — how do you stand out?
We lead with the specific technical differentiation that matters to your ICP's stack, rather than broad category claims that blend in with every other vendor in the space.
What's a realistic timeline from first outreach to a signed pilot?
Most accounts reach a technical evaluation within four to six weeks, with pilot agreements typically following within another four to eight weeks depending on procurement.