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use cases

Attribution Analyst

Know what changed, why it changed, and what to do next—grounded in a metrics layer you can defend.

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the problem

When conversion shifts, most teams are stuck with:

  • Conflicting dashboards
  • Unclear metric definitions
  • Delayed data
  • “It might be seasonality” guesses

Decision-making slows down—and budget gets wasted.

we deliver a data foundation and analytics assistant workflow that:

  • Standardizes KPI definitions (so teams stop arguing)
  • Monitors funnel health and flags anomalies
  • Explains likely drivers using approved metrics and dimensions
  • Produces an action-oriented narrative (what changed, where, and what to test)
  • Pushes insights into the tools where teams act (reverse ETL, alerts)

What’s included by default

Metrics layer (definitions + documentation)

Dashboards by domain (marketing, sales, ops)

Freshness monitoring and data quality checks

Optional “analyst assistant” experience for interpretation and summaries

How it works

1

Model

Build consistent metric logic (leads, bookings, pipeline, revenue)

2

Monitor

Set thresholds and anomaly detection rules

3

Explain

Break down changes by channel, location, segment, time

4

Activate

Push segments/alerts to CRM and collaboration tools

5

Iterate

Refine based on what drives decisions

What we track

primary kpis

  • Data freshness and pipeline health
  • Funnel conversion rates by stage
  • Channel performance changes over time
  • Segment/location anomalies and resolution time
  • Dashboard adoption and decision velocity

Typical integrations

CRM (HubSpot/Salesforce)

Ad platforms and analytics feeds (where available)

Support, POS/payments, scheduling systems (as needed)

BI tooling (Looker/Power BI/Tableau)

use-case SLIs

Morphed Commit™

  • Freshness SLOs and dashboard performance
  • Time-to-detection for anomalies
  • Model validation checks (accuracy gates)
  • Time-to-decision / action rate (optional KPI)

Best plan fit

fixed

Foundation

$150k

Works when you want a clean baseline (5 sources, 5 dashboards) and one automated insight workflow.

fixed

Scaled

$300k

Better when you need broader sources across multiple domains.

highest roi

retainer

All-In

$400k/year

Best for continuous attribution improvement, experimentation loops, and multi-domain governance.

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What we’ll cover

Frequently
Asked
Questions

Is this “multi-touch attribution”?

We can support multi-touch models, but most teams win faster by standardizing core funnel metrics and using consistent attribution rules first.

Yes. Reverse ETL and alerting are key to making analytics actionable.

Want decisions you can defend—backed by consistent metrics and fresh data?

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