If you’re in a B2B go-to-market (GTM) team, you know the drill: finding the right leads is slow, manual, and half the tools out there promise the world but deliver a spreadsheet. This review is for sales, marketing, and ops folks who are tired of hype and want the real scoop on whether Datagma can actually make lead generation suck less.
Let’s get into what Datagma is, what it does well (and where it falls short), and whether it’s worth your team’s time.
What Is Datagma, Really?
Datagma bills itself as a lead enrichment and data discovery tool for B2B teams. In plain English: it helps you find extra data on your prospects, like emails, phone numbers, job changes, and company info, and then plugs it into your workflow.
Think of it as a mashup between a contact database and an enrichment engine. You feed it a LinkedIn profile, company domain, or name, and it tries to spit out verified contact details and other useful context.
Datagma is aiming to be a lighter, cheaper, and more nimble alternative to legacy data vendors. But does it actually deliver?
Who Should Even Care About Datagma?
- Sales Development Reps & BDRs: If you live and die by the number of quality leads you can reach, this is in your wheelhouse.
- Revenue Ops: You’re tired of bad data clogging your CRM. Enrichment matters.
- Growth Marketers: You want to personalize campaigns and need up-to-date info.
If you already have a monster contract with ZoomInfo or Clearbit and are happy, this might not move the needle. But if you’re a scrappy team or want a tool that’s less bloated, it’s worth a look.
How Datagma Works: The Good, The Bad, and The Meh
The Good Stuff
1. Data Enrichment That’s Fast (and Cheap-ish)
Datagma shines when you need to quickly fill in missing data on leads. Paste a LinkedIn URL, get a work email, sometimes a direct dial, maybe even see which tools the company uses. It’s not magic, but it’s often good enough for outreach, and it’s less expensive than the big guys.
2. Chrome Extension Makes Prospecting Less Painful
Their Chrome extension is straightforward. You’re on LinkedIn, you click a button, and Datagma runs enrichment right there. No jumping between windows or exporting CSVs just to get an email address.
3. Flexible Inputs: Not Just Emails
You can start with a name, company, or even just a domain. Datagma tries to match and enrich from multiple angles, so you’re not stuck if you don’t have a complete dataset.
4. Pay-As-You-Go Pricing
Unlike some data vendors that want your firstborn for a contract, Datagma has more flexible, credit-based pricing. Great for teams that don’t want to commit to a year up front.
Where Datagma Falls Short
1. Data Accuracy: “Good Enough,” Not Perfect
Let’s be real: no data vendor is 100% accurate. Datagma’s hit rate on business emails is decent for the price, but you’ll hit dead-ends with personal emails, catch-alls, or old info—especially for smaller companies or obscure job titles.
Pro Tip: Always verify emails before mass outreach, even if Datagma says they’re “verified.” Bounce rates still happen.
2. Limited Company-Level Insights
Compared to platforms like LinkedIn Sales Navigator or Apollo, Datagma feels lighter on firmographics and technographics. You’ll get some company info, but don’t expect deep intent data or detailed org charts.
3. No “Set It and Forget It” Integrations
Datagma plugs into popular CRMs (like HubSpot and Salesforce), but automation is basic. You’ll need to manually trigger enrichment or set up zaps via Zapier for more advanced flows.
4. Not a List-Building Machine
If you want to scrape thousands of leads at once, Datagma isn’t built for that. It’s more for “enrich what you have” than “spray and pray.”
Step-by-Step: How to Use Datagma in a Real GTM Workflow
Here’s how a B2B team actually puts Datagma to work:
1. Collect Your Raw Leads
- Export a list of leads from LinkedIn, your website, or another source.
- These leads are usually half-baked—maybe just a name and a company.
2. Batch Upload to Datagma
- Upload as a CSV, or paste LinkedIn URLs directly.
- Datagma can process leads in bulk, but keep the list manageable. (Hundreds, not tens of thousands.)
3. Run Enrichment
- Hit the “Enrich” button.
- Datagma will try to find work emails, phone numbers, LinkedIn profiles, company info, and sometimes even tech stack.
- Results come back within a few minutes (sometimes instantly).
What’s Actually Useful:
- Work email (if you’re lucky)
- Direct dials (rarer, but a nice bonus)
- LinkedIn profile links (helpful for more manual research)
- Company website and size
What to Ignore:
- Personal emails (usually not worth the risk in B2B outreach)
- Generic info like “industry” or “founded date”—you probably have this already
4. Export to Your CRM or Outreach Tool
- Download enriched leads as a CSV and import into your CRM (HubSpot, Salesforce, whatever you use).
- Or, use Zapier to connect Datagma to your stack for a slightly less manual process.
- Double-check for duplicates or mismatches—Datagma sometimes matches the wrong person if your input is vague.
5. Sanity Check and Verify
- Spot check emails with a verification tool (ZeroBounce, NeverBounce, etc.) before blasting out campaigns.
- Update any out-of-date or obviously wrong info—Datagma is fast, but not always up to the minute.
6. Start Your Outreach
- Use the enriched data to personalize your emails or calls.
- Don’t overthink it: a name, a valid email, and a real job title are usually enough to start.
Datagma vs. The Competition
| Feature | Datagma | ZoomInfo | Apollo.io | Clearbit | |-----------------------------|-----------------|---------------|---------------|--------------| | Contract Required? | No | Yes | No | No | | Pay-As-You-Go | Yes | No | Yes | Yes | | Chrome Extension | Yes | Yes | Yes | Limited | | Data Accuracy | Decent | High* | Good | Good | | List Building | Limited | Robust | Good | Limited | | Depth of Company Insights | Basic | Deep | Good | Good | | Price (relative) | Low-Mid | High | Mid | High |
*ZoomInfo is “high” if you believe their marketing—real-world accuracy can be hit or miss.
Honest Take:
- If you need the deepest, broadest data and have a big budget, ZoomInfo still rules.
- If you’re after flexibility, reasonable price, and quick enrichment, Datagma is in the mix.
- For teams wanting to automate full workflows and list-building, Apollo is stronger.
What Datagma Does Best
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Enriching small to medium batches of leads.
It’s great for teams who work off inbound leads, event lists, or LinkedIn research, not for spamming 50,000 contacts. -
Helping SDRs find missing contact info, fast.
You’re on LinkedIn, you need an email, you click, you get it—or you don’t, but at least you know quickly. -
Staying lightweight and affordable.
No annual contracts, no five-figure commitments.
What You Shouldn’t Expect
-
A magic bullet for lead gen.
No tool will give you perfect data or solve for bad targeting. -
Advanced workflow automation.
It won’t replace your ops stack or run your outbound campaigns for you. -
Super-deep company signals.
If you want real buying intent, org charts, or deep tech stack data, look elsewhere.
Bottom Line: Is Datagma Worth It?
If you’re part of a lean B2B GTM team that cares about speed, cost, and not getting locked into a monster contract, Datagma is a solid pick for enriching leads and finding contact info. It’s not the deepest tool, and you’ll want to double-check its data, but for the price, it’s tough to beat for everyday prospecting.
Don’t get bogged down trying to build the perfect lead list. Start small, enrich what you have, and improve as you go. Datagma makes it easy to do just that—no more, no less.