Solution

Revenue, Churn & Retention Analysis

Solution

Revenue, Churn & Retention Analysis

Upload your calls, tickets and renewal conversations. Join them to your CRM and find out which interaction is actually driving churn, with the revenue attached.

YourCRMKnowsWhoLeft.YourCallsKnowWhy.

YourCRMKnowsWhoLeft.YourCallsKnowWhy.

YourCRMKnowsWhoLeft.YourCallsKnowWhy.

Travelers joined 4M conversations to renewal records.

They found $3.13M.

Right now:

  • Churn scores flag accounts, never explain them

  • The reason they left is in a transcript nobody queries

  • Revenue at risk cannot be traced to a specific failure

  • Retention programs get built on assumption

  • Save plays run without evidence that they work

Right now:

  • Churn scores flag accounts, never explain them

  • The reason they left is in a transcript nobody queries

  • Revenue at risk cannot be traced to a specific failure

  • Retention programs get built on assumption

  • Save plays run without evidence that they work

Yourwarehousehasthenumbers.Yourconversationshavethereason.Nothingyouownjoinsthem.

Yourwarehousehasthenumbers.Yourconversationshavethereason.Nothingyouownjoinsthem.

Yourwarehousehasthenumbers.Yourconversationshavethereason.Nothingyouownjoinsthem.

Unified Data & Enrichment

DropInYourData.ItReadsAllOfIt.

DropInYourData.ItReadsAllOfIt.

DropInYourData.ItReadsAllOfIt.

Start with one file of calls, tickets or verbatims. Every record is enriched with Dimensions like churn risk, competitive intent and expansion signal, then joined to your CRM, billing and usage data on a shared key.

You can:

  • Unify support, sales, survey, and renewal data into one enriched dataset

  • Join every conversation with ARR, contract dates, segment, and usage data

  • Build custom Dimensions specific to your revenue model

  • Have the agent build context on your business

You can:

  • Unify support, sales, survey, and renewal data into one enriched dataset

  • Join every conversation with ARR, contract dates, segment, and usage data

  • Build custom Dimensions specific to your revenue model

  • Have the agent build context on your business

Causal Intelligence Engine

AskWhy.GetProof.

AskWhy.GetProof.

AskWhy.GetProof.

Ask in plain English. The agent isolates which interaction patterns causally drive cancellation, controlling for plan, tenure and segment. Findings that fail the robustness checks are never reported as causal.

You can:

  • Prove what drives churn instead of what correlates with it

  • Quantify revenue at risk from one operational pattern

  • See how drivers differ by segment, region or product line

  • Surface expansion signals your CRM cannot see

You can:

  • Prove what drives churn instead of what correlates with it

  • Quantify revenue at risk from one operational pattern

  • See how drivers differ by segment, region or product line

  • Surface expansion signals your CRM cannot see

On-Demand Intelligence Reports

AskForTheReport.GetTheReport.

AskForTheReport.GetTheReport.

AskForTheReport.GetTheReport.

Ask for the retention readout and the agent builds it: findings, revenue at risk, charts, recommendations. Then it keeps running, tracks the actions you took, and verifies whether the number actually moved.

You can:

  • Produce the retention readout without building it

  • Set a target and track progress against it continuously

  • Verify whether the fix changed the outcome

  • Share a link your CFO can interrogate

You can:

  • Produce the retention readout without building it

  • Set a target and track progress against it continuously

  • Verify whether the fix changed the outcome

  • Share a link your CFO can interrogate

Howtheplatformworks

Howtheplatformworks

Howtheplatformworks

Unstructured

Unstructured Data

Live Chat
Phone Calls
Chatbot
Voice Agents
Support Tickets
Email
Survey Feedback
Mobile App

Live Chat
Phone Calls
Chatbot
Voice Agents
Support Tickets
Email
Survey Feedback
Mobile App

Structured

Structured Data

CRM
Financial Data
Purchases
Usage Data

CRM
Financial Data
Purchases
Usage Data

Ingestion

Normalization

Normalization

Ingestion & Staging

Ingestion & Staging

APIs or File Uploads

APIs or File Uploads

Transformation & Normalization

Transformation & Normalization

Central Data Warehouse

Central Data Warehouse

Hosted or Passthrough

Hosted or passthrough

Meaning Layer

Meaning Layer

Multi-Channel A.I. Enrichment

Generative Layer - Multi-Channel A.I Orchestration

Dimension extraction engine for language

Dimension extraction engine for language

System-Level Dimensions

Custom Dimensions per Business Objective

Multi-Dimension Orchestration

Output Validation - "hallucination" or drift check

Mapping

Mapping

Human-in-the-Loop + AI

Human-in-the-Loop + AI

Internal Vector Embeddings & Semantic Similarity

Dynamic Clustering & Theming

Multi-Dimensional Consolidation

Export ability to data warehouse

Analysis Layer

Analysis Layer

Structured Output

Generative Layer - Multi-Channel A.I Orchestration

Causal Analysis, Reporting & Governance

Causal Analysis, Reporting & Governance

Generate causal reports, visualizations, and executive intelligence: on demand or scheduled

Plug into existing B.I tool of choice (Tableau, PowerBI, Hex)

Export via API to any warehouse (Snowflake, Databricks, BigQuery)

Dimension Labs has become the default insight layer across the company.