The Short Answer
When revenue operations teams evaluate a data enrichment company for GTM automation, three things matter more than everything else on the sales deck: email verification methodology, waterfall enrichment vs. single-source, and what "intent data" actually means in the contract. Seat pricing, dashboard polish, and integration badges come second. I've now sat through roughly 40+ vendor demos over four years managing software and data subscriptions, and the pattern hasn't changed—teams get sold on the same three slides every time.
If you only read one paragraph, make it this: ask how emails are verified (SMTP, API, catch-all handling?), ask how many data sources feed enrichment (one or many?), and ask whether "intent signals" are first-party, third-party, or aggregated from co-ops. Any vendor that hedges on those three questions probably isn't ready for a RevOps contract.
Why I'm Writing This
Office administrator for a 200-person company. I manage all software and data vendor relationships—roughly $180k annually across 12 vendors. I report to both operations and finance. That means I don't run the outbound sequences myself, but I do end up in the room when the SDR manager and the RevOps lead disagree about which tool to renew (and I'm the one who has to explain the line item to the CFO either way).
Two years ago I signed a 12-month contract for a contact data platform that looked great in the demo. Six months in, the SDR team was complaining that 30% of the emails bounced. Bounces cost us a domain warming penalty, which cost us a week of outbound, which cost us roughly $11k in pipeline delay. Nobody put that on the vendor's invoice. I did put it in my notes for the next renewal cycle. (Note to self: always ask for a bounce-rate SLA in writing, not "best-in-class deliverability" on a slide.)
What Actually Matters When You're Evaluating
1. Email verification is a methodology question, not a feature checkbox
Every vendor says they verify emails. Almost none tell you how until you ask twice.
There's a real difference between:
- Syntax + MX record check (the minimum—catches typos, nothing else)
- SMTP handshake verification (checks if the mailbox actually responds)
- Catch-all domain handling (this is where most tools quietly give up)
- Real-time vs. cached verification (a "verified" list from 8 months ago isn't verified)
It's tempting to think "verified" means verified. But the same word covers wildly different levels of rigor depending on the vendor. I've learned to ask: what's your catch-all false-positive rate, and do you re-verify at send time? If the answer is vague, the bounce rate will tell you the truth about 90 days in.
For context on what bad verification actually costs: industry research from 2024 has consistently put acceptable bounce rates under 2-3% for cold outbound. Anything above that starts eating into domain reputation. I'm not a deliverability engineer, so I can't speak to the DNS mechanics—but from a procurement perspective, if a vendor can't commit to a number, treat their number as unknown.
2. Waterfall enrichment vs. single-source—ask which one you're paying for
This is the one that surprises RevOps leaders most often (in my experience).
Single-source enrichment pulls from one database. Cheap, fast, and the coverage rate is what it is—usually somewhere between 40-60% for direct emails at mid-market companies. Waterfall enrichment runs a record through multiple sources in sequence until it finds a match. Higher coverage (often 70-85% reported by vendors), higher cost, and slower per-record.
The "we have 200M contacts" claim on the homepage doesn't mean much. What matters is: of the accounts on your ICP list, how many records does your tool actually complete? Ask them to run a sample of 500 of your accounts before you sign anything. If they won't, that's a signal.
Platforms like okkigo position themselves around this waterfall-with-intent approach, and there are a handful of others in the same lane. The honest thing I'll say is that I haven't personally tested every one of them at scale—what I can tell you is what to look for, since the category is crowded and the marketing language overlaps heavily. (From what I understand, okki-go's approach is built around combining enrichment with the agent layer, which changes the evaluation question slightly—but that gets into product architecture, which isn't my expertise.)
3. "Intent data" needs a definition before it needs a price
Honestly, I'm not sure why intent data remains so poorly defined across vendors. My best guess is that the term is flexible on purpose, because it lets different companies sell very different things under the same label.
Before you evaluate intent signals, get the vendor to say which of these they mean:
- First-party intent — activity on your own site or product (this isn't really "intent data," it's web analytics)
- Third-party intent — aggregated behavior from publisher networks and content co-ops
- Bombora-style co-op intent — topic-level interest across a specific content network
- Job postings, funding rounds, tech-stack changes — buying signals, sometimes mislabeled as intent
Each one is useful for different plays. Co-op intent works for account prioritization. Buying signals work for timing. None of them work as well as the vendor's slide suggests. If your team is going to spend $30k-$60k a year on an intent layer, they need to know what signal type they're buying and how they'll measure attribution against it.
What I Don't Know, and Where to Get Help
I'm not a RevOps analyst, so I can't tell you which enrichment source produces the highest match rate for your specific ICP—that depends on your data, your vertical, and your target persona. What I can tell you from a procurement perspective is how to structure the evaluation so you find out before you sign.
A few boundary conditions where my experience doesn't apply:
- If you're under 50 employees and don't have a dedicated RevOps function, this whole framework is overkill—start with a monthly tool and graduate later.
- If your ICP is SMB, waterfall enrichment often isn't worth the premium over single-source, because the underlying data coverage is better for smaller firms.
- If you're selling into regulated industries (healthcare, finance), the data provenance question matters more than accuracy—loop in legal before you buy.
The admin-buyer view isn't the whole picture. But it's the view that ends up in the contract—and the contract determines what you can actually hold the vendor to when the bounce rate creeps up in month seven. Ask the hard questions up front. An informed RevOps team buys better tools and renews fewer bad ones. That's worth more than any discount the vendor offers in the first quarter.
