Case study · Analytics

Cyberabad Analytics Pvt Ltd hit +39% with UMAP360.

Anonymous-to-known stitch-rate lift. Anonymous-to-known stitch rate +39% with 98%+ event capture across cookie-blocked sessions.

The story
  1. 01

    The challenge

    Anonymous-to-known stitching was a known weak point of the existing analytics stack. Cookie-blocked sessions degraded the identity layer — by the time users converted, half their journey was lost to the analytics pipeline.

  2. 02

    The recovery loop

    Triple-Stitch identity engine joined fingerprinted sessions, click-ID captures, and identified events into a single graph. Server-side event ingestion meant 98%+ capture even on blocked browsers.

  3. 03

    First quarter

    Anonymous-to-known stitch rate lifted 39%, with 98.1% event capture across cookie-blocked sessions. Cross-channel accuracy hit 82% — the highest the team had measured in three years of running the stack.

Impact

The measured outcome.

  • +39%

    Stitch rate.

  • 82%

    Cross-channel accuracy.

  • 98.1%

    Event capture.

We needed identity stitching at scale across cookie-blocked sessions. UMAP360’s Triple-Stitch raised our anonymous-to-known rate by 39% with 98.1% event capture — the data layer our analytics had been missing.
Cyberabad Analytics Pvt Ltd logo
Vikram Kapoor
CTO, Cyberabad Analytics Pvt Ltd · Hyderabad
+39%stitch rate

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