Go4Database vs WarpLeads: Which B2B Lead Database Is Worth Your Money?
"$99 for unlimited exports" - that's WarpLeads' headline pitch, and it's the kind of offer that makes experienced sales ops people immediately ask what's missing. Meanwhile, Go4Database has been around for years, carrying a 350M+ contact database with barely a whisper on Reddit or review sites. If you're weighing Go4Database vs WarpLeads, you're hunting for cheap B2B data that actually works.
Let's figure out which one - if either - deserves your budget.
30-Second Verdict
Pick Go4Database if you need a small, simple list provider pulling under 3,000 contacts/month and don't want to overthink your stack.
Pick WarpLeads if you're running a volume-first outbound operation and you've already budgeted for a separate email verification tool.
Skip both if data quality is your top priority. You'll spend less time and get better results with a platform that verifies before export, not after.
Go4Database at a Glance
Go4Database has a stronger track record than most newer tools in this space. It carries a 4.8/5 on G2, though that's based on just 5 reviews. The database is marketed as 350M+ global business contacts, and Go4Database claims 95% email accuracy.
Pricing is straightforward: $0-$100/month on annual billing, with a separate List Cleaning add-on and a free trial that gives you 100 contacts/month to test. That simplicity is genuinely appealing for solo operators who don't want to manage a complex stack.
The weakness? Zero Reddit presence, no community discussion, and accuracy claims that rest almost entirely on the vendor's own numbers. We couldn't find independent validation anywhere.
WarpLeads at a Glance
WarpLeads launched in 2022 and positions itself as "The Only Lead Database with Truly Unlimited Exports." The $99/month Unlimited Monthly plan includes unlimited contacts and exports, all filters, unlimited lists and users, exclude lists, CSV export, and de-duplication. WarpLeads claims access to 100M+ people and 20M+ companies.
Here's the thing: WarpLeads' own help docs say email verification after export is mandatory. They recommend Reoon and tell you to expect around 70% valid emails after cleaning. That means 30% of what you export is garbage - by their own admission. Data refreshes every few months, and the Chrome extension works for grabbing emails from websites and professional profiles.
The real cost picture is murkier than the headline suggests. WarpLeads sells add-on export packs from $40/month for 5,000 contacts up to $2,800/month for 1,000,000. Need API access? That starts at $299/month billed quarterly ($897 upfront) and requires an active $99/month Unlimited subscription on top. The "cheap tool" narrative falls apart fast for any team that needs programmatic access or serious volume workflows.
WarpLeads admits 30% of exports bounce. Go4Database's accuracy claims lack independent proof. Prospeo delivers 98% email accuracy from a 300M+ database - verified at source with a 5-step process, refreshed every 7 days. No third-party cleaning tool required.
Pay $0.01/email for contacts that actually land in inboxes.
Side-by-Side Feature Comparison
| Feature | Go4Database | WarpLeads | Winner |
|---|---|---|---|
| Database size | 350M+ (vendor figure) | 100M+ people (vendor figure) | Go4Database (on paper) |
| Email accuracy | 95% (claimed) | ~70% after cleaning | Go4Database (on paper) |
| Data refresh | Not published | Every few months | Neither |
| Verification needed? | No (real-time verified leads) | Yes, mandatory after export | Go4Database |
| Free tier | 100 contacts/mo | 30 contacts/mo | Go4Database |
| Paid pricing | $35-$100/mo (annual) | $99/mo + add-ons | Go4Database |
| API access | Not advertised | From $299/mo + $99 base | WarpLeads (it exists) |
| Chrome extension | No | Yes | WarpLeads |
WarpLeads' "$99 unlimited" sounds great until you add the verification tax. You're paying $99 for exports, then paying again to clean the list. Go4Database is cheaper but gives you far fewer contacts and no API.
The Data Quality Problem
This is where both tools stumble, and it's worth spending extra time here because data quality is the single factor that determines whether cheap leads actually save you money or cost you more in the long run.
WarpLeads' own documentation says to expect ~70% valid emails after third-party cleaning. That's not a bug - it's the product. One Reddit user in r/Emailmarketing reported "quality is terrible (high bounce rate, old emails etc)" even after verifying and removing unverified addresses. The consensus on r/coldemail threads isn't much kinder: WarpLeads works for volume plays, but you need to treat the data as raw material, not finished product.
To be fair, WarpLeads can work in a volume stack. One user reported sending 2,200 emails that generated 65 replies, 18 demos, 8 customers, and $2,100 in new MRR. But that success required layering Reoon verification on top, accepting the 30% waste, and running enough volume to make the math work despite the bounce risk.
Go4Database's 95% accuracy claim sounds better, but with only a handful of G2 reviews and zero Reddit discussion, there's no independent data to back it up. We've seen plenty of vendors claim 95%+ accuracy that crumble under real-world testing.
Here's our honest take: if your average deal size is under $15K, you probably don't need either of these tools. You need 500 contacts that pick up the phone, not 100,000 that bounce. A 70% valid rate means for every 1,000 emails you send, 300 bounce. That tanks your domain reputation. And once your sending domain is burned, no amount of cheap data fixes it.
A Cleaner Alternative
For teams that have been burned by bad data, the difference is measurable. Stack Optimize built from $0 to $1M ARR using Prospeo with client deliverability above 94% and bounce rates under 3% - zero domain flags across all clients. That's the kind of outcome you simply can't get when you're cleaning 30% garbage out of every export.
Who Should Pick What
Go4Database makes sense for solo operators who need a modest number of contacts under 3,000/month and want simple, predictable pricing. It's a no-frills tool for no-frills needs.
WarpLeads works for volume-first outbound teams who already run a verification tool and treat lead data as raw material to be refined. Just budget beyond $99/month - you'll need it for verification, and possibly for API access if you're building any kind of automated workflow.
For everyone else, skip both. Verified-at-source data at $0.01/email beats unverified data at any price, because the real cost of bad data isn't the subscription. It's the burned domain, the wasted SDR hours, and the pipeline that never materializes. In the Go4Database vs WarpLeads debate, the smarter move for most teams is stepping outside the debate entirely.
Burned domains don't recover on a timeline that helps your pipeline. Stack Optimize built to $1M ARR on Prospeo data with bounce rates under 3% and zero domain flags. That's what verified-at-source means in practice - not 70% valid after cleaning, but 98% accurate before you hit send.
Stop budgeting for verification tools on top of your lead database.
FAQ
Is WarpLeads really unlimited for $99/month?
The $99 Unlimited plan covers unlimited exports, but the data is unverified. You'll need a separate tool like Reoon to clean the list - expect around 70% valid emails after verification. API access adds another $299/month minimum billed quarterly on top of the base plan.
Does Go4Database verify emails before export?
Go4Database markets real-time verified leads and claims 95% accuracy. They also sell a separate List Cleaning product at $49 for 100K contacts, which helps with external lists. Independent verification of these claims is limited due to minimal third-party reviews.
Which is better for cold email campaigns?
For pure volume, WarpLeads gives you more contacts per dollar. For simplicity and lower upfront cost, Go4Database wins. But for cold email specifically, deliverability matters more than volume - a 70% valid rate means 300 bounces per 1,000 sends, which can burn your sending domain fast. That's why we recommend starting with verified data and scaling from there, rather than the other way around.