Datagma Review 2026

Datagma is a small, Paris-based data enrichment platform with an unusual architecture: it searches the public web in real time for every enrichment request rather than pulling from a stored contact database. The result is fresh data, GDPR compliance by design, and a pay-only-for-results pricing model that suits cost-conscious sales teams.

To write this Datagma review, we analyzed the platform in depth. We believe it is the right choice if:

• You need verified mobile phone numbers (not landlines) for direct outreach

• You want an affordable enrichment tool with transparent, published pricing

• GDPR compliance is a priority and you prefer a no-database architecture

• You work heavily from LinkedIn and Sales Navigator for prospecting

• You need a simple API or Chrome extension, not a full sales platform

However, Datagma might not be a good choice if:

• You need buyer intent data to identify accounts actively in-market

• You require conversation intelligence, deal tracking, or sales automation

• You want AI-powered account prioritization and outreach recommendations

• Your team needs a single platform spanning sales, marketing, and RevOps

• You require third-party security certifications like ISO 27001 or SOC 2 Type II

In this case, you should consider ZoomInfo: an all-in-one AI GTM Platform built on 500M contacts, 100M companies, 135M+ verified phone numbers, and 200M+ verified business email addresses. Its GTM Context Graph, an intelligence layer that processes 1.5B+ data points daily, combines this data with your CRM records, conversation transcripts, and behavioral signals to show not just who to contact, but why a deal is moving and what to do next. Your team can reach this intelligence through the GTM Workspace for sellers, GTM Studio for marketers and RevOps, or APIs and MCP in any front-end.

We have included a detailed ZoomInfo section at the end of this Datagma review as the natural step up for teams that have outgrown standalone enrichment tools. If you are ready to explore an all-in-one AI GTM Platform, you can start with a free trial here.

What is Datagma?

Datagma is a B2B data enrichment and phone finder platform founded in 2021 by Raphael Azot in Paris, France. The company is bootstrapped, runs with 3 employees, and generated $450K in revenue in 2024.

The core idea is simple: rather than maintaining a static contact database that decays over time, Datagma searches the web in real time for each enrichment request. When you submit a LinkedIn URL, email address, or name-and-company combination, Datagma searches public sources at that moment and returns what it finds. It claims to find more than 3 million verified emails and mobile phones daily.

Datagma holds a 4.7 out of 5 rating on G2 based on 5 reviews. That is a thin public record for a platform in its category, but the feedback is consistently positive about mobile number accuracy and ease of use.

Datagma offers four products: Data Enrichment, Email Finder, Phone Finder, and Job Change Detection. These are accessible through a Chrome Extension, File Upload, API, and integrations with HubSpot, Pipedrive, Zapier, N8N, Make, Phantombuster, and Captain Data.

The platform targets sales and marketing teams at small to mid-sized businesses who need contact data without enterprise pricing. Featured customers include Clay.com, Captain Data, Lemlist, and Ramp.

Datagma Pros and Cons

What G2 Reviewers Say About Datagma

Datagma's G2 profile shows a 4.7 out of 5 rating from 5 reviews. The review pool is small, but three themes appear consistently:

What reviewers praise: Mobile phone enrichment accuracy is the standout strength. Reviewers describe results as "almost 100% valid" for mobile numbers, with particular praise for the no-landline filtering. The Chrome extension on LinkedIn is called out as frictionless to use. The transparent pricing model earns positive notes for predictability.

What reviewers wish was better: The platform interface is described as needing improvement in a few reviews. Coverage gaps for contacts with minimal public web presence are noted. The limited database size relative to larger competitors is a recurring observation for teams prospecting into enterprise accounts.

Third-party accuracy note: Datagma's own testing reports an 86% hit rate on personal data. Independent estimates from third-party reviewers put phone accuracy closer to 50-60%, which is consistent with industry averages for real-time enrichment tools. Both figures are worth keeping in mind when evaluating the platform against your specific outreach volume.

Datagma Review: How It Works and Key Features

Data Enrichment: Datagma fills contact and company record gaps by searching the web in real time.

Datagma's enrichment service takes incomplete contact records and returns over 75 data points about the person and their company. You provide a LinkedIn URL, email address, or full name with company name, and the platform searches public sources for work emails, mobile phone numbers, job titles, seniority levels, company firmographics, funding data, and website traffic information.

The key difference from most enrichment providers is the no-database approach. Datagma does not store contact records. Every request triggers a fresh web crawl, so the data you receive reflects what is publicly available right now rather than what was cached weeks or months ago. Response times average about 3 seconds per request.

Users can access enrichment through several channels: the API (which accepts social URLs, company names, emails, or name-company pairs), file upload for bulk processing up to 50,000 contacts, the Chrome extension for LinkedIn, and native integrations with HubSpot and Pipedrive. The HubSpot integration supports two-way enrichment, creating custom properties without overwriting existing data.

All enriched emails are verified by ZeroBounce and Usebouncer before delivery.

Phone Finder: Datagma delivers mobile numbers only, filtering out landlines before charging you.

The Phone Finder is Datagma's strongest feature. The platform returns only mobile phone numbers, excluding landlines from both results and billing. This matters because competitors often deliver a mix of mobile and landline numbers without distinction, and a landline routed through a company switchboard is rarely useful for direct outreach.

In comparative testing published by Datagma, the platform achieved 69-77% phone number discovery rates across UK, India, and US markets, outperforming Lusha (29-44%), Kaspr (39-46%), and Apollo (3-64% depending on region). The same testing found that Apollo mislabeled 89% of "mobile numbers" as landlines in French C-level searches. G2 reviewers consistently describe the platform as very accurate for phone research.

Phone numbers cost 30 credits each, and credits are only consumed when a mobile number is found. Failed lookups cost nothing. The platform also includes WhatsApp verification, which checks whether discovered numbers are linked to WhatsApp accounts.

Users can find phone numbers through the Chrome extension on LinkedIn, bulk file uploads, or the API. The Chrome extension supports scraping up to 2,500 LinkedIn profiles daily and works with Sales Navigator without requiring session cookies.

Email Finder: Verified email discovery with free catchall handling.

The Email Finder locates business email addresses using algorithms that search publicly available information including websites and social media platforms. For verification, Datagma generates possible email patterns and pings the SMTP server to validate addresses, then runs results through NeverBounce and Usebouncer for additional confirmation.

One practical feature is the handling of catchall domains. Datagma provides catchall emails for free without consuming credits and attempts to detect if the catchall address is linked to social accounts like LinkedIn or GitHub to estimate validity. The platform distinguishes between two outputs: verified emails confirmed as valid mailboxes, and "Most Probable Email" results for unverifiable catchall addresses.

Datagma also partners with major cold email sending tools to access daily bounce data, letting the platform flag emails that pass SMTP checks but bounce in practice.

Job Change Detection: Monitor contacts for career moves and new opportunities.

Job Change Detection alerts users when prospects or clients switch employers. The feature serves two sales purposes: it helps reduce churn by identifying when key stakeholders leave client organizations, and it enables warm outreach when former customers join new companies where they may become buyers again.

Third-party testing puts Datagma's job change detection at flagging changes within 1-2 weeks of LinkedIn profile updates, faster than most database providers that update on 4-6 week cycles. The monitoring schedule is user-controlled, from daily to every six months.

When a job change is detected for HubSpot users, the platform creates a task for the contact owner with the new company name and job title rather than overwriting the contact record. New accounts receive 160 free job change detection credits. Ongoing HubSpot monitoring starts at $300 per month.

Pricing: Transparent tiers with a permanent free plan and pay-for-results credits.

Datagma operates on a credit-based system where 1 credit equals 1 verified email and 30 credits equal 1 mobile phone number. Credits are only consumed when data is found.

Annual billing saves 20% and provides all credits upfront. All plans include 10 seats, API access, WhatsApp integration, and catchall emails for free. Monthly subscriptions have no commitment and can be cancelled anytime. Unused credits on active subscriptions roll over for up to 12 months.

For a deeper look at how these plans compare to alternatives, see our Datagma pricing page.

Where Datagma Falls Short

Datagma does one thing well: it finds verified contact details through real-time web searches. But that narrow focus means several capabilities growing sales and marketing teams need are absent.

No Buyer Intent Data. Datagma cannot tell you which accounts are actively researching solutions like yours. There are no intent signals, no topic tracking, no behavioral indicators. You get contact details but no context about whether those contacts are in a buying cycle.

No Sales Automation or Outreach Tools. The platform provides data but no way to act on it. There are no email sequences, no dialing capabilities, no multi-channel campaign tools. Every contact you enrich must be exported to a separate platform for outreach.

Limited CRM Integrations. Datagma integrates natively with HubSpot and Pipedrive, but not with Salesforce, the dominant CRM in enterprise sales. Teams on Salesforce must route data through Zapier or Make.com, which are reportedly still in private beta.

No Security Certifications. The platform holds no SOC 2, ISO 27001, or similar third-party security certifications. For enterprises with vendor security requirements, this is a disqualifying gap. Datagma's compliance rests on GDPR adherence through its no-database architecture, but that does not address the broader security assurance that procurement teams require.

Coverage Depends on Public Data. Because Datagma retrieves data from public sources in real time, if a prospect's information is not publicly available online, Datagma will not find it. Contacts who maintain minimal online presence or work at companies with strict information policies may return no results.

Small Team, Limited Support. With 3 employees and no documented support SLAs, the platform's ability to handle support volume is constrained. The help center contains roughly 30 articles across six categories.

These limitations are not failures. They are the natural consequences of a 3-person bootstrapped company building a focused enrichment tool. But they create a clear ceiling for teams whose needs extend beyond finding contact details.

The Broader Alternative: ZoomInfo

ZoomInfo addresses Datagma's limitations not by doing enrichment differently, but by providing the full go-to-market infrastructure that a standalone enrichment tool cannot.

Where Datagma finds contact data, ZoomInfo provides the data, the intelligence layer that makes sense of it, and the tools to act on it. Built over nearly two decades, ZoomInfo's platform spans 500M contacts, 100M companies, 135M+ verified phone numbers, 120M direct-dial phone numbers, and 200M+ verified business email addresses, all verified through a multi-source pipeline backed by 300+ human researchers with up to 95% accuracy on first-party data.

In a Fortune 500 competitive RFP analyzing 25 million contacts across vendors, the independent consultant concluded that "no other competitor came even close."

The GTM Context Graph: Intelligence, Not Just Data

The gap between Datagma and ZoomInfo is not just scale. It is what happens after the data is collected.

ZoomInfo's GTM Context Graph processes 1.5B+ data points daily by combining ZoomInfo's B2B data with a customer's CRM records, conversation transcripts, email threads, and product usage data. The graph does not just record that a deal moved to Stage 3. It captures why it moved: which executive joined the last call, what questions they asked, and how those patterns compare to thousands of similar deals.

For sales teams, this means AI-drafted follow-ups that address the specific concern raised on the last call. For marketers, it means plays that target accounts matching your actual win patterns. For RevOps, it means forecasts based on buying evidence rather than stage labels.

Datagma tells you who someone is and how to reach them. ZoomInfo tells you that, plus whether they are in-market, what they care about, and what your best move is.

Buyer Intent and Signals: Know When Accounts Are Ready

ZoomInfo's Buyer Intent tracks signals from 210 million IP-to-Organization pairings and 6 trillion+ new keyword-to-device pairings sourced monthly. Guided Intent, exclusive to ZoomInfo, identifies topics historically correlated with deal success rather than requiring manual topic selection.

WebSights resolves anonymous website traffic to companies, identifying not just which company visited but which buying team members, complete with direct contact information. It includes Automatic Traffic Filtering that separates real visitors from bots.

These capabilities have no equivalent in Datagma's product.

GTM Workspace and GTM Studio: From Data to Execution

GTM Workspace gives sellers a single screen where prioritized accounts, AI-drafted outreach, and deal execution converge. AI agents handle account research, CRM updates, signal monitoring, and next-step recommendations. Seismic reported 54% productivity gains and 11.5 hours saved per week per seller using it.

GTM Studio gives marketers and RevOps a workspace where they can describe audiences in natural language, launch multi-channel plays, and measure pipeline impact without engineering support. Expansion plays that used to take 3 weeks now launch in 30 minutes.

For teams that build beyond ZoomInfo's own products, APIs and MCP expose the same intelligence to any custom agent, internal tool, or partner platform. All three access methods draw from one GTM Context Graph: the same data, the same intelligence, nothing degraded by how you access it.

Compliance and Security: Certifications That Procurement Demands

ZoomInfo holds ISO 27001, ISO 27701, SOC 2 Type II, TRUSTe GDPR, and TRUSTe CCPA certifications, all renewed annually. The company is a registered data broker in California and Vermont with a dedicated Trust Center. For enterprise buyers in regulated industries, these certifications remove procurement friction that a platform without them cannot.

Integration Breadth: 120+ Native Integrations Including Salesforce

The ZoomInfo App Marketplace lists 120 partner integrations across CRM (Salesforce, HubSpot, Microsoft Dynamics), marketing automation, sales engagement, revenue intelligence, and data warehouses. Cloud Partners enables direct data ingestion into AWS, Google Cloud, Snowflake, and Databricks. API access is included in all relevant plans.

Datagma or ZoomInfo: Comparison Summary

If your team is ready to move beyond standalone enrichment to a full GTM platform, start with a free ZoomInfo trial here.

Final Verdict

The choice between Datagma and ZoomInfo depends on where your team sits in its growth and what you need from a data platform.

Choose Datagma if you need a simple, affordable tool for finding verified contact details, particularly mobile phone numbers. It works well for small sales teams that prospect through LinkedIn, want fresh data without database staleness, and do not need intent signals, automation, or marketing tools. The transparent pricing, pay-for-results model, and GDPR-compliant architecture make it a practical starting point for teams with straightforward enrichment needs and limited budgets.

Get started with Datagma here.

Choose ZoomInfo if your team has outgrown standalone enrichment and needs the full picture: who to contact, when they are in-market, why a deal is moving, and what to do next. ZoomInfo's combination of verified data, the GTM Context Graph for deal intelligence, and access through GTM Workspace, GTM Studio, and APIs gives sales, marketing, and RevOps teams a single platform that turns data into action.

Get started with ZoomInfo here.

Datagma does contact enrichment efficiently for its price. ZoomInfo provides the intelligence infrastructure that contact enrichment alone cannot deliver. Your choice depends on whether you need data, or whether you need the context and tools to act on it.

Frequently Asked Questions

Is Datagma worth it?

Yes, for small sales teams with straightforward enrichment needs. Datagma delivers strong mobile phone number accuracy, transparent pricing, and GDPR compliance at a price point that is hard to argue with for SMB prospecting workflows. It is not worth it if you need intent data, CRM automation beyond HubSpot/Pipedrive, security certifications, or enterprise-scale database coverage.

What are the main drawbacks of Datagma?

The five most significant gaps are: no buyer intent data, no native Salesforce integration, no SOC 2 or ISO 27001 security certifications, coverage dependent on public web availability (contacts with minimal online presence return no results), and a 3-person team that constrains support capacity and feature velocity.

How accurate is Datagma?

Datagma's self-reported hit rate is 86% for personal data. Independent third-party estimates place phone accuracy closer to 50-60%, consistent with industry averages for real-time enrichment tools. G2 reviewers report strong mobile number results in practice. Accuracy varies by market: Datagma reports 69-77% discovery rates across UK, India, and US in its own comparative testing.

What is a good alternative to Datagma?

ZoomInfo is the step-up for teams that need buyer intent, AI-driven outreach, and a full GTM platform beyond contact enrichment. For comparable enrichment tools at a similar price point, Lusha and Apollo offer larger databases with native Salesforce integrations. Hunter.io is worth considering for email-only use cases.

Does Datagma integrate with Salesforce?

Not natively. Datagma integrates directly with HubSpot and Pipedrive. Salesforce users must route data through Zapier or Make.com. Both automation platform integrations are reportedly still in private beta as of this writing.

How does Datagma pricing work?

Datagma uses a credit-based model: 1 credit equals 1 verified email, 30 credits equal 1 mobile phone number. Credits are only consumed when data is actually found, so failed lookups cost nothing. The free plan includes 90 verified emails and 3 mobile phones per month. Paid plans range from $49/month (Regular) to $249/month (Expert), with annual billing saving 20%. All plans include 10 seats and API access. For a full breakdown, see the Datagma pricing page.

More Datagma comparisons and guides

If you're interested in reading more, you might like:

• Datagma Pricing: Worth It or Consider ZoomInfo? March 2026

• BetterContact Review 2026: Is This Waterfall Enrichment Tool Right for You?

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