Data & Analytics

Eucloid Builds a Scalable, Signal-Driven GTM Motion with Tapistro

See how Eucloid used Tapistro to build a scalable GTM engine, automate prospecting, and achieve 3.5x higher open rates with signal-driven outreach.

Industry
Data & Analytics
Use case
Signal-driven orchestration
Multi-channel GTM strategy
Eucloid Builds a Scalable, Signal-Driven GTM Motion with Tapistro

6

Qualified Meetings / Month

38% CTR

on outreach

The Situation

Promising experiments, scattered across spreadsheets and tools

Eucloid, a leading data and analytics firm, set out to expand its successful India-based Databricks partnership into the U.S. market. That meant building a scalable GTM engine that could support consistent pipeline generation, signal-led targeting, and coordinated outreach across channels.

Before Tapistro, Eucloid was in an early-stage GTM exploration phase rather than running a formal marketing engine. Outbound and lead-generation tests across APAC and the U.S. were largely experimental, and not designed for scale.

Account and event data sat across multiple spreadsheets, delaying real-time action. The team spent hours identifying technology users, their core ICP, by searching across multiple websites. Cold calling and email campaigns were small experiments spread over Apollo, Zoho, SendGrid, and Sales Navigator, with limited visibility or measurable impact. It typically took 4–5 months of outreach to secure a first meeting, and conversions were around 2-3%.

How Tapistro Helped

One core GTM system in place of a stack of experiments

Eucloid's goal was a unified GTM strategy under one roof. Tapistro became their core GTM system, consolidating prospecting, enrichment, signal tracking, and outreach into a single platform.

The Impact

What changed once signals drove the outreach

  • Open rates up 3.5x, from a 10% baseline to a sustained 33-35%
  • Click-through rates reached 37-38%
  • 5–6 qualified meetings per month with high-intent prospects, across large enterprise deals and services contracts
  • A 5-month warm-up to first meeting shortened to weeks through automated multi-channel orchestration
  • Manual research time of 2–3 hours a day automated away entirely
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