Datagma Pricing: What Every Plan Actually Costs Per Contact
You've seen Datagma's pricing page. Four tiers, clean layout, big numbers. What it doesn't spell out is the effective cost per mobile number once you factor in how credits burn when you're pulling mobiles - and whether you're actually getting a good deal compared to Kaspr, Lusha, or Apollo. We did the math so you don't have to.
Quick Verdict
Best for: Phone-heavy teams on a budget who already have prospect lists built elsewhere.
Plans and Credit Breakdown
Here's every tier with the math the pricing page leaves out.
| Plan | Monthly | Annual | Emails/mo | Phones/mo |
|---|---|---|---|---|
| Free | $0 | $0 | 90 | 3 |
| Regular | $49 | $39 | 3,000 | 100 |
| Popular | $99 | $79 | 7,500 | 250 |
| Expert | $249 | $209 | 22,500 | 750 |
The credit math
This is the part that trips people up. Datagma's system works like this:
- 1 credit = 1 email
- 30 credits = 1 mobile phone number
So when you're thinking about cost per phone, the cleanest way to model it is: what if you spent the plan's credits entirely on phones, or entirely on emails? Here's what that looks like:
| Plan | $/Phone | Notable Features | |
|---|---|---|---|
| Free | - | - | API, WhatsApp integration, 10 seats |
| Regular | $0.016 | $0.49 | Credit rollover, API, WhatsApp integration, 10 seats |
| Popular | $0.013 | $0.40 | File upload enrichment, 10 seats |
| Expert | $0.011 | $0.33 | File upload enrichment, 10 seats |
A note on those per-phone figures: some third-party sources cite $0.59-$0.78 per phone for Datagma because they factor in real-world hit rates. Real-time extraction can produce lower match rates depending on the contact and market, so your effective cost per usable phone number will vary.
Annual billing saves 20% across the board. The Expert plan drops from $249 to $209/mo - that's $480/year saved. Every plan includes API access and WhatsApp integration. Paid plans add credit rollover for up to 12 months while subscribed.
How the Credit System Works
Datagma lists email and phone allowances as separate buckets - not a single shared pool. The Regular plan gives you 3,000 emails and 100 mobile phones independently. Phone-heavy usage doesn't eat into your email allowance, and vice versa.
In practice, the phone allowance is the constraint that bites first. A 5-rep SDR team can burn through 100 mobile lookups in a day or two. Datagma only returns mobile numbers, not landlines, which is actually a feature. Nobody wants to cold-call a front desk.
Rollover rules are straightforward: unused credits carry over up to 12 months while you're subscribed. Annual plans issue all credits upfront, and unused credits reset at the end of your annual cycle. One gotcha worth knowing - if you toggle to annual billing, the Free plan shows 3 phones and 90 emails per year, not per month.

Burning 30 credits per phone lookup only works if the number connects. Prospeo's 125M+ verified mobile numbers hit a 30% pickup rate - and emails cost ~$0.01 each at 98% accuracy. No real-time extraction gambles.
Stop paying per lookup. Start paying per verified contact.
Cost-Per-Contact Scenarios
Let's break this down with three real scenarios.
Email-heavy marketer: You need 2,000 verified emails and maybe 20 phone numbers per month. The Regular plan at $49/mo covers this comfortably with room to spare. Effective cost: about $0.025 per contact. If your workflow is email-first, it’s also worth pairing enrichment with an email verification step to protect deliverability.

Phone-heavy SDR team: Your 5 reps need 200 phone numbers and 1,000 emails monthly. The Popular plan at $99/mo gives you 250 phones and 7,500 emails - plenty of headroom. All 5 reps are covered under that single $99 plan. Try getting that from Kaspr or Lusha without paying per seat. If you’re building a phone-first motion, these benefits of cold calling benchmarks help set expectations.
High-volume ops team: 500 phones and 15,000 emails per month. The Expert plan provides 750 phones and 22,500 emails. If you need more than the self-serve caps, Datagma pushes higher-volume use cases to Enterprise (Pay As You Go).
How Datagma Compares on Price
Here's Datagma next to the tools you're probably also evaluating.
| Tool | Starting Price | Mobile Cost | Email Cost | Seats |
|---|---|---|---|---|
| Datagma | $49/mo | ~$0.33-$0.49 | ~$0.011-$0.016 | 10 included |
| Kaspr | $49/user/mo | $0.40-$0.45 | N/A | 1 seat |
| Lusha | $29.90/user/mo (annual) | $1.10-$1.23 | 1 credit/email | 1 seat |
| Apollo | $49/user/mo (annual) | Varies | Unlimited (fair use) | 1 seat |
And here's the context that table can't capture:
| Tool | Data Approach | API Access | Best For |
|---|---|---|---|
| Datagma | Real-time extraction from public sources | All plans | Budget phone enrichment for teams |
| Prospeo | 300M+ professional profiles, 7-day refresh | All plans | Verified email accuracy at scale |
| Kaspr | Database | ~$6K/yr add-on | European mobile numbers |
| Lusha | Database | ~$7K/yr add-on | Quick lookups, small teams |
| Apollo | Database | Higher tiers | All-in-one prospecting platform |
The seat math is where Datagma pulls ahead dramatically. A 5-person team on Lusha Premium runs $349.50/mo on seats alone with annual billing, and that's before you factor in API access. The same team on Datagma Popular gets separate phone and email allowances for $99/mo flat. Kaspr's per-seat model creates the same problem, plus API access costs an extra ~$6K/year.
Prospeo takes a different approach - 143M+ verified emails and 125M+ verified mobiles backed by a 5-step verification process and proprietary email-finding infrastructure. At ~$0.01/email with 98% accuracy, it's the strongest option for teams where email deliverability matters more than raw phone volume.
Apollo offers unlimited emails under fair use, which is hard to beat on raw volume. But its mobile credits are limited - paid tiers commonly show 75-200/month depending on plan - and the Organization plan is often sold with a 3-user minimum.
Datagma has limited presence on Reddit and G2 compared to Lusha or Apollo, which means less community-validated feedback on real-world hit rates. That's worth considering if peer reviews factor into your buying process, especially if you’re tracking prospect data accuracy as a KPI.
Is Datagma Worth It?
Yes - if you need mobile numbers for a multi-person team on a budget. No - if you need predictable deliverability or an all-in-one prospecting platform.
For phone enrichment, Datagma is hard to beat at this price point. The 10-seat inclusion alone saves hundreds per month compared to per-user tools. Credit rollover is a nice safety net. API on every plan - without a $6-7K annual add-on - is genuinely rare.
Here's the thing: most teams evaluating Datagma pricing don't actually need a real-time extraction tool. They need a reliable database with good coverage. Real-time extraction sounds impressive, but it means if a contact's phone number isn't publicly available somewhere, you get nothing and still burn a lookup. We've seen this pattern play out with clients who switched to database-backed tools after months of inconsistent hit rates.
Enterprise tools like ZoomInfo ($15-40K/year) and Cognism ($8-15K/year) solve this with massive proprietary databases, but at 10-50x the cost. If you’re comparing options across the category, start with a shortlist of sales prospecting platforms and then map pricing to your actual workflow.
Skip Datagma if your workflow is email-first. Use it if you already have prospect lists and need affordable phone enrichment for a team. For email-first workflows or teams that need predictable hit rates, database-backed alternatives will serve you better - especially if you’re doing data enrichment for cold email at scale.

Datagma's 10-seat pricing is compelling - until inconsistent hit rates inflate your real cost per contact. Prospeo gives you 300M+ profiles on a 7-day refresh cycle, 98% email accuracy, and verified mobiles from a proprietary database. No extraction lottery.
Get predictable data quality without enterprise contracts.
FAQ
Does Datagma charge per seat?
No. Every plan - including free - includes 10 seats. Most competitors charge per user, making Datagma significantly cheaper for teams of 3 or more. A 5-person team pays $99/mo total on Popular vs. $349.50/mo on Lusha Premium.
What happens when credits run out?
You wait until your next billing cycle or upgrade to a higher tier. Datagma's self-serve plans don't offer top-up or overage purchases. For unpredictable volume, their Enterprise (Pay As You Go) option is the only path to on-demand credits.
Does Datagma offer annual discounts?
Yes - annual billing saves roughly 20%. Regular drops to $39/mo, Popular to $79/mo, Expert to $209/mo. Credits are issued upfront and unused credits reset at the end of your annual cycle.