Tesorus EI for Analytics & BI Teams
Better signal quality. Better measurement. Better attribution.
Your models and dashboards are only as good as the data feeding them. Tesorus EI provides verified buyer identity and intent signals that transform attribution from a modeling exercise into a verifiable chain from signal to revenue.
Your Reality
Garbage in, insights out?
Attribution models, forecasts, and dashboards built on unresolved identity and probabilistic data produce confident-looking fiction.
- Signal quality is poor—intent data is noisy, identity is unresolved, and attribution is modeled rather than observed
- Measurement gaps between marketing touchpoints and pipeline outcomes
- Attribution models distribute credit across touchpoints but cannot verify which reached actual buyers
- Forecasting relies on pipeline assumptions rather than verified buying behavior
Why Current Tools Fall Short
The problem is not your execution—it is your visibility
- Multi-touch attribution gives partial credit without verified buyer identity
- Marketing mix models operate at the aggregate level—not the buyer level
- Platform-reported metrics measure platform engagement, not buying intent
- Data warehouse tables contain millions of anonymous sessions with no identity resolution
The Tesorus Approach
Identify → Enhance → Activate
Three steps. Real buyers. No guesswork.
Step 1
Detect
Access verified buying signals tied to resolved individuals—not anonymous sessions or probabilistic matches. Every signal has a verified identity attached.
Step 2
Resolve
Every buyer interaction is resolved to a real person with deterministic identity matching. Your attribution chain connects marketing touchpoints to named individuals to pipeline outcomes.
Step 3
Activate
Feed verified buyer intelligence into your data warehouse, BI tools, and attribution models. Build dashboards on resolved identity. Forecast from verified intent. Attribute with confidence.
What Changes for You
How analytics changes with EI
Build attribution on verified identity
When every touchpoint connects to a resolved buyer, attribution becomes observation—not modeling. Trace specific marketing actions to specific pipeline outcomes.
Improve forecast accuracy with intent data
Forecasting based on verified buying signals—who is in-market, what stage they are in, and how many are entering the cycle—is fundamentally more accurate than pipeline-based guessing.
Enrich your data warehouse with buyer intelligence
Export resolved buyer profiles, intent signals, and buying stage data to Snowflake, BigQuery, or Redshift. Build custom models on top of verified intelligence.
Measure signal quality, not just volume
Replace noisy intent data with deterministic, identity-resolved signals. Your models improve because the input data is verified—not probabilistic.
Fits Your Stack
Works with the tools you already use
- CRM — Salesforce, HubSpot, Pipedrive, Zoho. Enriched profiles and intent signals sync automatically
- Marketing automation — Trigger sequences on real buying behavior, not arbitrary scores
- Ad platforms — LinkedIn, Google, Meta, programmatic. Intent-verified audiences replace broad targeting
- Sales tools — Outreach, Salesloft, Apollo. Prioritized lists with full buyer context
- Export — CSV, API, or data warehouse. Your tools, your workflow, Tesorus intelligence
See verified buyer data in your warehouse
We will show you how Tesorus intelligence exports to your analytics stack—and what it does to attribution accuracy.