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Turn all your data into sales opportunities.

ngen Data Enrichment helps transcribe calls, identify hidden opportunities, classify intent, and assess expected value.

Calls contain the intent. Nobody can read them at scale.

Calls contain a lot of information about intent, but all of the data is unstructured and hard to reason about without AI annotation or reliable disposition notes.

ngen lets you use your own prompts to decipher intent, calculate expected value, and pursue the opportunity in a way that optimizes conversion.

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Four things enrichment does.

Transcribe calls

Every call becomes structured data — no disposition notes required.

Identify hidden opportunities

The second bathroom, the follow-up that never happened, the lead that's ready now.

Classify intent

Your own prompts decide what high intent means for your business.

Assess expected value

Average order value × recent conversion probability, per lead, sent back to the ad platforms.

What it does for each team.

Marketing Ops

Every call classified and scored without disposition notes, so audiences and hypotheses start from real intent.

CallTrackingMetricsFive9HubSpot
Explore Marketing Ops

Data Engineering

Transcripts, intent and expected value land in the warehouse as structured fields. No labeling pipeline to build.

SnowflakeAzure Data Lake
Explore Data Engineering

Finance

Expected value per lead, from average order value and recent conversion probability, ties spend to forecast.

Power BI
Explore Finance

How ngen Data Enrichment Works

1

Unification

Calls, CRM records and campaign data are linked to one customer record.

2

Enrichment

Every call is transcribed and annotated with your own prompts.

3

Scoring

Intent is classified and expected value calculated from average order value and recent conversion probability.

4

Activation

The enriched signal goes back into the ad platforms — first for calls, then appointments, then sales.

FAQs

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Data Enrichment — 100% of copy written

12 / 12 fields
6 sections
  1. 01
    de-hero

    Promise the outcome — sales opportunities, not data hygiene. Nobody buys clean data for its own sake.

  2. 02
    de-problem

    Name the failure mode: outreach fails because the data behind it is stale. Establishes the need before offering the solution.

  3. 03
    de-layers

    Break the product into its parts so 'enrichment' stops being a vague word.

  4. 04
    de-personas

    Restate the benefit per team — enrichment pays off differently for sales, marketing and service.

  5. 05
    de-steps

    Show the pipeline end to end. The reader needs to watch data move from messy to activated.

  6. 06
    de-faq

    The page's main search surface. Enrichment buyers arrive through very specific questions.

de-hero 100%de-problem 100%de-layers 100%de-personas 100%de-steps 100%de-faq 100%

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