Adapt.io vs Prospeo: Which B2B Data Platform Wins?
If you're weighing Adapt.io against Prospeo, it usually means one thing: you hit Adapt.io's tiny free allowance, then realized your outbound volume doesn't fit the credit math. We've run the numbers on both platforms, and the gap in unit economics is hard to ignore once you see it laid out.
30-Second Verdict
| Scenario | Pick |
|---|---|
| Email-heavy outbound on a budget | Prospeo - ~$0.01/email, 98% accuracy |
| Growth signals & tech-sector filtering | Adapt.io - 3,000+ tech sectors, hiring signals |
| Need emails AND mobile numbers | Prospeo - 125M+ verified mobiles, 30% pickup rate |
| Overall recommendation | Prospeo - better unit economics, fresher refresh cycle, stronger multi-channel coverage |
Here's the thing: if your average deal size sits below $10k, paying premium prices for "nice-to-have" data features is usually a mistake. You win faster by buying accuracy and volume.
Pricing Compared
The unit economics aren't subtle. Adapt.io charges far more per email credit, while Prospeo's credit pricing lands around $0.01 per email - so the same spend buys dramatically more outreach.
At Adapt.io, $49/month gets you 500 emails, which works out to about $0.098 per email. At Prospeo's rate, that same $49 spend gets you roughly 4,900 emails. That's not a rounding error - it's a 10x difference in volume for the same budget.
Adapt.io plans
| Plan | Price | Email credits | Phone credits | Notes |
|---|---|---|---|---|
| Free | $0/mo | 25/mo | - | 25 enrichment credits/month |
| Starter | $49/mo | 500/mo | - | CSV export + saved search alerts |
| Basic | $99/mo | 1,000/mo | 100/mo | CRM export (Salesforce, HubSpot, Pipedrive, Zoho, Outreach, Salesgear) |
| Custom | Custom | Custom | Custom | API access + advanced reporting + onboarding |
Adapt.io also offers a 7-day free trial with no credit card required and 20% off annual billing.
Prospeo plans
| Plan | Price | What you get |
|---|---|---|
| Free | $0/mo | 75 email lookups + 100 Chrome extension credits/month |
| Paid (credit-based) | ~$0.01/email | Pay per valid email; mobiles cost 10 credits/number |
One practical difference worth flagging: Prospeo stays fully self-serve with API access on paid plans, while Adapt.io pushes API access into custom-pricing conversations.
Data Quality & Freshness
Companies lose roughly 12% of revenue due to poor data quality. That stat alone is why we don't care how big a database sounds - we care how often it's refreshed and whether accuracy is measurable.
Adapt.io lists 250M+ contacts and says 5M+ are refreshed daily. Do the math and you get about a 50-day refresh cycle. That's not terrible, but it's not fast either, especially if you're targeting roles in fast-moving industries where people change jobs every 18 months.
Prospeo runs on 300M+ profiles with a 7-day refresh cycle and a concrete benchmark: 98% email accuracy, backed by a 5-step verification pipeline that includes catch-all handling, spam-trap removal, and honeypot filtering. That shows up where it matters - fewer bounces, fewer wasted credits, and fewer angry replies from people who left that company six months ago. It also layers in intent data across 15,000 topics and 30+ search filters, which makes list-building feel less like guessing and more like targeting.
If you're evaluating providers primarily on list accuracy, it helps to compare data enrichment services and how they validate records at scale.
At ~$0.01/email with 98% accuracy and a 7-day refresh cycle, Prospeo delivers 10x the outreach volume of Adapt.io for the same budget. Snyk's 50 AEs dropped bounce rates from 35% to under 5% - that's what fresh, verified data does.
Stop paying 10x more per email for stale contact data.
Mobile Numbers
This is where the comparison gets lopsided.
Adapt.io only includes phone credits starting on the Basic plan at $99/month, and you're capped at 100 numbers. That's not enough for any serious multi-channel motion - most SDR teams burn through 100 dials in a single morning. If you're building a calling motion, a dedicated cold calling system matters as much as the data source.
Prospeo provides access to 125M+ verified mobile numbers at 10 credits per number with a 30% pickup rate. If calling is part of your playbook, this is the deciding factor. You can use the mobile finder to pull direct dials on demand without waiting for a plan upgrade.
Where Adapt.io Wins
Let's be fair - Adapt.io's best feature is timing. The growth signals for hiring and employee expansion are genuinely useful when you're trying to catch a team right as budget and urgency show up. If you want a framework for operationalizing those signals, see how to track sales triggers. Its 3,000+ tech-sector taxonomy is also excellent for niche slicing, especially in tech categories that broader databases tend to flatten into generic labels.
It's also easy to roll out. On G2, Adapt.io scores 4.6/5 across 2,789 reviews, and "ease of use" is the most common positive theme. G2 benchmarks show about 4 months to implement and 16 months to ROI - fine for teams that value workflow stability over raw outbound volume.
Skip Adapt.io if you need scale. Pick it if you're a small team doing targeted prospecting where signals matter more than volume, and you're comfortable paying more per contact for that filtering experience.
What Users Say
The reviews line up with the credit math. On G2, the most common complaints include limited credits (34 mentions), credit restrictions that create friction (24 mentions), and incorrect email addresses (14 mentions). We've seen this pattern before with other tools: strong usability scores can hide the fact that reps feel throttled the moment they try to scale past 50 emails a day. If you're trying to scale safely, email velocity is the constraint most teams underestimate.
Reddit sentiment is similar - one user on r/sales described struggling to turn Adapt.io contacts into actual meetings, which is exactly what happens when verification and freshness lag behind your outbound pace.
On the other side, the strongest proof is deliverability outcomes. Snyk's team of 50 AEs cut bounce rates from 35-40% to under 5% and increased AE-sourced pipeline 180% after switching to Prospeo. Meritt tripled pipeline from $100K to $300K per week. Those aren't vanity metrics - they're the kind of results that show up in quarterly board decks. If you're diagnosing bounce issues, start with email bounce rate benchmarks and root causes.
The Bottom Line
Choose Adapt.io if you want growth signals and granular tech-sector filtering, and your monthly volume is low enough that 500-1,000 credits won't feel restrictive.
Choose Prospeo if you want the best combination of accuracy, weekly refresh, mobile coverage, and cost per valid contact. For outbound teams comparing these two platforms, that mix wins more weeks than any fancy dashboard ever will. If you're still shopping the category, compare more options in best sales prospecting databases.
Adapt.io caps you at 100 phone credits on a $99/month plan. Prospeo gives you access to 125M+ verified mobiles with a 30% pickup rate - enough to power a real multi-channel motion without hitting a wall by Tuesday.
Get the emails and direct dials Adapt.io can't match.
FAQ
Does Adapt.io have a free plan?
Yes. Adapt.io's free plan includes 25 email credits/month and 25 enrichment credits/month, plus a 7-day free trial with no credit card required. Prospeo's free tier gives you 75 email lookups plus 100 Chrome extension credits monthly - 3x the email volume at the same price of zero.
Which tool has better email accuracy?
Prospeo delivers 98% email accuracy using a proprietary 5-step verification pipeline and refreshes all records every 7 days. Adapt.io describes real-time verification but doesn't publish a comparable accuracy benchmark, making it harder to predict bounce rates before you commit budget.
Can I get mobile numbers from Adapt.io?
Only on the Basic plan at $99/month, and you're capped at 100 phone credits. Prospeo provides access to 125M+ verified mobiles at 10 credits per number with a 30% pickup rate - enough to run a real cold-calling motion without hitting a wall mid-week.