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Data Enrichment

Datagma

French B2B enrichment tool with broad coverage and signal detection features. Reliability has fluctuated over time so use as a complement rather than primary source. Ideal in 3rd or 4th position of a waterfall to maximize match rates.

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Who's it for?OpsGrowthSales

Review by a Growth Engineer

My verdict: a good waterfall complement, to use with discernment.

I use Datagma as a complement in my enrichment stacks. It's great for coverage - there's a lot of data available - but reliability has fluctuated over time. You need to watch out for false positives and profile matching issues.

I mainly use it as the 3rd or 4th source in my waterfall, never on the front line. Signal detection is an interesting plus but not mature enough to make it a pillar.

What I like less: you don't always know where the data comes from, so downstream verification is needed. False positives can ruin your deliverability if you're not vigilant.

My advice: use Datagma as a complement, never alone. Enrow or Dropcontact on the front line, Datagma to recover what's left. And always verify emails before sending.

Why add it to your stack?

In a waterfall enrichment stack, Datagma plays a strategic complement role. It's not my primary source (I prefer Enrow or Dropcontact on the front line), but it allows recovering contacts that others miss.

Coverage is broad, which is double-edged: you get more results, but you need to be vigilant about quality. Signal detection (job changes, new fundraising) is an interesting plus for prospecting timing.

What you can do with it

  • 1Complete an enrichment waterfall when primary sources haven't matched
  • 2Detect job changes in your CRM to re-engage contacts
  • 3Enrich scraped lists in volume with maximum coverage
  • 4Identify buying signals (fundraising, hiring) on your target accounts
  • 5Batch enrichment via Google Sheets for occasional operations

What it does

  • Professional email and phone enrichment
  • Signal detection (job change, fundraising)
  • Company data enrichment (SIRET, headcount)
  • REST API for workflow integration
  • Native Google Sheets integration
  • Email verification included

How much?

Starting at $29/month

Several plans available starting at $29/month for 250 credits. Scale plans at $99/month (1000 credits) and Pro at $299/month (5000 credits). Additional credits available per unit.

The detailed verdict

Do I really need this?

Datagma is not indispensable in itself - it's a complement tool rather than a primary source. In my workflow, it comes in 3rd or 4th position in the waterfall, to scoop up the 10-15% of contacts others haven't found.

Signal detection is interesting but not reliable enough to make it a pillar of your strategy. It's a nice-to-have, not a must-have.

Does it play nice with my stack?

Integrations are decent without being exceptional. The REST API works well and integrates easily into n8n or Make. Google Sheets integration is practical for occasional no-code operations.

No native CRM integration like Dropcontact. To sync with HubSpot or Salesforce, you'll need to go through Make/Zapier or custom development. This is a weak point compared to market leaders.

Is it easy to pick up?

Getting started is simple for basic cases. Upload a CSV, launch enrichment, retrieve results. The Google Sheets interface allows starting in minutes without touching the dashboard.

The API requires a bit more work but documentation is decent. Support responds within reasonable timeframes. No onboarding session offered, but online guides are sufficient for most uses.

Is the UX any good?

The interface is functional but dated. The dashboard does the job for launching enrichments and tracking consumption, but we're far from Clay's or Apollo's polish. Navigation isn't always intuitive, some features are hidden in submenus.

The Chrome extension and Google Sheets integration make up for it somewhat: these are the interfaces you'll use most daily, and they're smoother than the main dashboard.

Is it worth it?

At $29/month for 250 credits, Datagma is in the market average. The value for money is correct but not exceptional. The value comes mainly from the broad coverage that allows you to match contacts that other sources miss.

For high-volume waterfall, Scale and Pro plans become interesting. However, be careful: data quality is less consistent than with Dropcontact or Enrow, so plan for more downstream verification.

What I like

  • Waterfall complement to maximize coverage on contacts that others miss
  • Buying signal detection like job changes or fundraising
  • Large data volumes on the French and European market

What I like less

  • Single enrichment source as reliability has varied over time with false positives
  • Teams that need total transparency on data provenance
  • Critical workflows where data errors can impact deliverability

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