Datagma
Real-time enrichment and phone data provider. Often used as first step in phone number waterfall sequences.
Real-time enrichment and phone data provider. Often used as first step in phone number waterfall sequences.
Primitives
- Provider type
- commercial
- Core dataset
- Real-time enrichment and phone data provider. Often used as first step in phone number waterfall sequences.
Real-time enrichment and phone data provider. Often used as first step in phone number waterfall sequences.
Why GTM teams care
Real-time enrichment and phone data provider. Often used as first step in phone number waterfall sequences.
Tasks you can run with Datagma on Deepline
Datagma is wired into Deepline. 3 actions are available out of the box, runnable from the CLI or as a column step in an enrichment spreadsheet.
Quick start
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=datagma_enrich_company:{}' --jsonAvailable actions
Enrich Company
Enrich company firmographics (size, industry, funding, tech stack, HQ location) from a domain or company name.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=datagma_enrich_company:{}' --jsonEnrich Person
Real-time person enrichment with 75+ fields including email, phone, job title, company, location, experience, education, and job-change signals.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=datagma_enrich_person:{}' --jsonFind Email
Find a verified work email from first name + last name + company domain or company name.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=datagma_find_email:{"firstName":"{{firstName}}","lastName":"{{lastName}}"}' --jsonWhat people are saying about Datagma
Real quotes from 3 cited sources across review sites, blogs, Reddit, HN, X, and community forums.
“Datagma distinguishes itself with its real-time approach -- instead of accessing outdated databases, it retrieves information at the moment of the request, guaranteeing high currency and strict GDPR compliance, as no personal data is permanently stored.”
“Job change detection is fast, flagging role switches within one to two weeks of LinkedIn profile updates. Datagma provides over 75 data points per contact including verified emails, mobile numbers, and job titles.”
“The biggest downsides of Datagma in 2026 are limited signal coverage beyond job changes, single-source data with no waterfall fallback, CRM integrations gated behind higher-tier plans, and credit-based pricing. Email match rates sit around 70-80% for US and Western European contacts.”
Frequently asked
What is Datagma?
Real-time enrichment and phone data provider. Often used as first step in phone number waterfall sequences.
What is Datagma best for?
Datagma is tracked for Real-time enrichment and phone data provider. Often used as first step in phone number waterfall sequences.
What do public references say about Datagma?
The cited source set leans positive, with 2 positive references out of 3. Deepline tracks 2 cited sources for this provider entry.
What should teams check before choosing Datagma?
Check coverage fit, integration surface area, data freshness, contract terms, and whether the provider matches the team's target accounts and regions.
Share your experience with Datagma
No vendor influence. Post anonymously or with your name.
- Category
- Phone Data
- Community mentions
- 3
- Sentiment score
- Positive (0.33)
- Website
- www.datagma.com
Questions mentioning Datagma
0 questions reference this provider.
No questions mention Datagma yet.
Ask a QuestionRun a Deepline workflow after researching Datagma
These public play pages include concrete inputs, outputs, workflow steps, and CLI instructions for running or forking a Deepline play.
Community signals
Community discussions and reviews from the last 30 days.
Datagma reference from SyncGTM editorial
Datagma distinguishes itself with its real-time approach -- instead of accessing outdated databases, it retrieves information at the moment of the request, guaranteeing high currency and strict GDPR compliance, as no personal data is permanently stored.
Datagma reference from PuzzleInbox editorial
The biggest downsides of Datagma in 2026 are limited signal coverage beyond job changes, single-source data with no waterfall fallback, CRM integrations gated behind higher-tier plans, and credit-based pricing. Email match rates sit around 70-80% for US and Western European contacts.
All opinions are community-sourced from real GTM practitioners. No vendor can claim or edit this page.