The RevOps Buyer's Checklist: 9 Things to Verify Before You Pay for a B2B Data Enrichment Platform

Who This Checklist Is For

If you're evaluating data enrichment, intent data, or outbound automation for a B2B sales or RevOps team, this checklist is for you. Nine steps. Roughly 45 minutes if you've already got your numbers in front of you.

My context: I've managed our sales-tools budget — about $180,000 annually — for six years at a 340-person SaaS company. I've negotiated with 14+ vendors and signed over 20 contracts. Everything below is either something I learned the hard way or something a peer in procurement warned me about before I could find out myself.

Not a review. Not a ranking. A text file to open before the PO goes out.

Step 1: Baseline Your Existing Stack Before You Look at Anything New

Sounds like busywork. It isn't.

In Q2 2024, I almost bought a new enrichment tool to solve a coverage gap — three weeks of contract back-and-forth. Turned out the sequencing platform we already paid for included enrichment credits nobody had turned on. We'd been paying for a capability we weren't using. The gap was operational, not contractual.

Do this: export every seat, credit, and minimum-commitment line from your CRM, sequencing tool, and current data vendors into one spreadsheet. Label each line in-use or zombie. This step alone usually kills one purchase — sometimes two.

Step 2: Write Down "Minimum Usable Data" Before Any Demo

Every vendor says coverage is "broad." Broad is a marketing word, not a spec.

Before the first call, write down:

• Required fields (email, name, company, title, tech stack, intent signal — be specific)
• Minimum acceptable match rate per field ("70% or better, or we walk")
• Data freshness floor (verified within 90 days? 180? at all?)
• What "fails the spec" means — and what happens to the invoice if it does

That last bullet is where half the vendors get quiet. The other half start explaining their refund policy, which is usually a credit, not a refund.

Step 3: Run a Paid Pilot, Not a Free Trial

Free trials are optimized for signing. Paid pilots are optimized for working.

We ran a "premium free trial" once. Bounce rate across four batches: 2.1%. Looked fine. After we signed an annual, the same batches — same enrichment source — bounced at 6%+. The trial list had been hand-tuned. The paid list wasn't.

Set up a small paid pilot ($200–$500 depending on vendor) against your real workflow, your real ICP, your real volume. Whatever the pilot produces is the number you compare. Not the demo. Not the free trial. The pilot.

Step 4: Pressure-Test the Email Verification Claims

No email verification service can guarantee 100% accuracy. Anyone who claims otherwise — cross them off the list.

What you actually want to know: will they put a bounce-rate ceiling in the contract? How many verification layers do they run? (One SMTP handshake versus three-step verification is a meaningful difference.) Is verification real-time or a batch score? Can you query their own API to spot-check?

Concrete test: run the same 500 contacts through two competing verification services. Compare. If they wildly disagree on the same address, at least one of them is fishing.

Step 5: Map the Enrichment Waterfall — Source by Source

Single-source enrichment is fine until you need more than it has. Waterfall enrichment is the current expectation — but "waterfall" can mean five curated sources or forty scraped ones stitched together. Those are different products.

Some platforms bake enrichment into the research workflow itself. okki-go's outbound research module is one example — an AI agent runs the research pass and the enrichment pipeline fires in the same flow. Reasonable design. The question to ask is still the same: which sources are actually in that waterfall, and how does the agent handle a thin result?

Ask for the source map. Specifically:

• Which sources are licensed? Which are scraped?
• What fields does each source contribute?
• How are conflicts resolved — first-wins, structured-wins, manual review?
• If a source goes offline, do they substitute or silently skip?

I once traced a "three-layer waterfall" to find that layers two and three were internal re-checks, not external sources. Not fatal. But not what the sales deck implied either.

Step 6: Build Your Own TCO Sheet — Not the Vendor's

The annual platform fee is the down payment. Everything else lives off-book.

Include these lines:

• Per-record verification charges ($0.02–$0.15 depending on volume)
• Overage fees on credits
• Enrichment add-ons — per field, per record
• CRM sync seats — priced per user, not per platform
• Implementation/onboarding (often $2,000–$15,000, sometimes "waived" into year two)
• Data storage/retention fees — a few vendors hide these
• Early-termination penalties

I've watched a "cheapest tier" quote turn into an 11% add-on overrun in year two, before labor. The vendor's quote sheet didn't mention any of it.

Step 7: Understand Where the Human-in-the-Loop Boundary Actually Sits

"AI-powered outreach" now means everything and nothing. What most teams actually want is agent-assisted grunt work with a human on the judgment calls.

Get specific. Is the AI writing the message copy, or just ranking the list? Is the human checking the first email or only the second touch? What happens when the AI is uncertain about a lead — does it flag, or guess?

If your ICP is reasonably set and you want to automate research plus a review step — okki-go's model (AI outbound research agent + human-in-the-loop approval) fits that shape. If your ICP is still being figured out, no amount of automation fixes that. It just misses faster.

Step 8: Confirm Integration Depth, Not Integration Presence

"We integrate with Salesforce" means nothing. Depth test:

• Bi-directional sync — can they write back to fields, or just read?
• Conflict handling — if both sides update, who wins?
• Sync latency — near-real-time, or overnight batch?
• Field-mapping control — yours, or locked to their defaults?

We learned this one at the cost of three months of manual reconciliation. The "integration" turned out to be a nightly CSV export. Nobody had asked.

Step 9: Get Compliance Answers in Writing

Legal questions don't surface during a POC. They surface at the first customer complaint.

Before the PO: get written answers to these. What lawful basis is contact data collected under (GDPR, CCPA, CAN-SPAM)? What's the deletion-request SLA? Where is data hosted, and is there a DPA? Who are the sub-processors?

Recorded verbal promises don't count. Email, please.

Mistakes I've Made So You Don't Have To

Three, ranked by cost:

One. Signed an annual without a pilot. We evaluated five vendors, picked the cheapest, signed annual. Two quarters in, the data quality didn't hold, we downgraded, and got hit with an under-commitment charge. Net loss: roughly $4,200.

Two. Let sales "help" evaluate. Sales doesn't have time and isn't paid to be skeptical. They fall for the demo every time. Evaluation should be led by RevOps or finance; sales provides the use cases, not the verdict.

Three. Compared per-unit price. $0.04 per verified record looks amazing next to $0.09. Except the $0.04 option needed manual dedup — 30 person-hours per push. The $0.09 one included dedup. The "cheaper" vendor cost us $1,100 in labor. You can't invoice a vendor for your team's hours, but you can absolutely put them in the TCO sheet.

One Last Thing

Don't shortcut the checklist. "We're in a hurry" is the reason behind every over-budget purchase, retroactively.

Forty-five minutes per contract decision. You won't miss the forty-five hours of cleanup.