What Should RevOps Evaluate in Data Enrichment? A 7-Step Vendor Checklist

If you're reading this, you're probably the person who got handed the vendor-evaluation spreadsheet and told the decision is due in six weeks. Or worse — you already plugged something in and your bounce rate just started climbing. I've been in both spots.

I run RevOps at a mid-market B2B SaaS company. Over the last four years, I've evaluated around 60 data vendors — email verification services, contact enrichment platforms, intent data providers, waterfall enrichment tools, and the packaged GTM automation suites that try to be all of those at once. Last quarter I had to swap out three providers in eleven days after a CRM sync corrupted about 40,000 contact records. One of those swaps cost us a $90K pilot that we could've saved if we'd caught the problem two weeks earlier.

This checklist is what I wish someone had handed me. Seven steps. Go in order. If a vendor fails on step three or earlier, don't waste their time or yours — walk.

Step 1: Map Your Current Data Before You Talk to Any Vendor

Most teams take the call first and reverse-engineer requirements later. That's backwards.

Spend one hour on this before your next demo:

• How many contacts do you actually own? Not "about 10K" — a real number.
• What percentage was verified within the last 90 days?
• What's your current bounce rate by segment? If you don't know, run it today.
• Which fields are consistently stale?

I've watched teams obsess over a $400 email verification service while 30% of their CRM records were dead. You can't enrich your way out of a garbage base.

Step 2: Test Coverage by Segment, Not Portfolio Size

"We have 200 million contacts." Great. How many of those match your ICP? That's where the demo falls apart.

Pull 100 records across the three segments you actually sell to. Run them through the vendor's b2b contact data solutions in a trial. What you want to see:

• Match rate at the record level
• Mobile number coverage (if your outbound is phone-heavy)
• Title accuracy — are contacts still in the role?
• Field fill rate versus what's already in your CRM

The number the vendor quotes in the call and the number you get from sampling will not match. I've seen a 78% advertised match rate come back at 41% when we sampled it against our real segments. Not lying — just a different definition of "match." Ask how they define it. Then test it.

Step 3: For Email Verification, Test Both Bounce Rate and Freshness

This is the step most teams mess up.

You send them a list. Do two things:

1. Run a send. After verification, send one rep-sequenced batch to a small test cohort. Your hard bounce rate should be under 1%. Above 2% starts tripping deliverability flags at most major ESPs — that's not a vendor-specific number, that's how the sending infrastructure in this space has settled over the last few years.
2. Ask about freshness. Here's what most vendors won't tell you: a "real-time" email verification service is usually a monthly-to-quarterly snapshot with a thin real-time layer on top. They are not pinging every inbox at send time.

That second point matters more than the first. If you verify today and send in six weeks, the inbox you paid to validate may have gone dormant — or, worse, been repurposed into a spam trap. Ask: "What's the shelf life of a verification result?" A good answer is 30 days plus a send-time re-check. A bad answer is "it's valid forever."

Step 4: For Intent Data, Ask About Timeliness — Not Coverage

Intent data is the category that sounds most impressive and delivers least, on average. You hear "we capture buying signals." What you don't hear is "from three weeks ago."

Before you sign, get specifics:

• How long between a signal firing and it appearing in your system?
• What's the geographic coverage? Plenty of vendors are US-transparent and international-black-box.
• Can you filter by account tier, or is it "everyone who liked a LinkedIn post"?

I got burned by one provider whose intent signals were on a 45-day lag. Every "hot" account we prioritized had already finished its buying cycle by the time our SDRs called them. That's a real number I've had to explain to a CRO. Not fun.

Step 5: Stress-Test the Waterfall Logic With Their Own Headline Data

Waterfall enrichment done well is genuinely good. Done badly, it's four crappy sources stitched together, each charging you separately.

During the trial, run:

• A batch of emails you know are bad
• A batch you know are good
• A batch with intentionally missing standard fields

Then look at what each stage of the waterfall returned — and how much each stage charged. Ask directly: are you billed on match, on attempt, or on success? This is where surprise invoices live. We ended up building our own waterfall using okki-go alongside a verification layer, and the transparency into which provider was winning at each stage was the reason we stuck with it.

Step 6: Audit Compliance and Opt-Out Handling Before Legal Gets Involved

Boring step. Also the one that costs you money two years later if you skip it.

Things to confirm:

• Where's the GDPR processing record? If the answer is "we don't store anything," that's a red flag, not a selling point.
• How are CCPA deletion requests handled — manually or by automation?
• Do contacts have a way to opt out, and does that opt-out actually persist across their entire database?
• Do they support the specific processing requirements of the jurisdictions you operate in?

I haven't been fined yet. I've come close. One vendor's opt-out flow was buried in a subprocessor agreement we almost signed, and by the time we caught it, a handful of contacts had already been re-added to all our sequences after they'd unsubscribed. That's the kind of mistake that gets forwarded to your CEO by a prospect.

Step 7: Insist on Human-in-the-Loop Control — Even If They Promise Automation

Fully automated okki go ai agent prospecting sounds great until your brand is the one sending 4,000 identical emails on a Tuesday morning because a trigger fired wrong.

At minimum you want:

• A manual approval gate before bulk sends
• A visible list of contacts currently in any hold state
• A simple screen showing why each message was triggered

The vendors who tell you this is optional are the ones you should trust least. The ones who say "yeah, you should review the first 500 before it goes wide" — those are the ones I keep.

Two Things Not on the Sales Deck

First — most providers won't volunteer this: "unlimited verification" usually has a throttle buried in the fair-use clause. Read section 4 of the ToS before you sign, not after.

Second — the failure mode I see most often isn't vendor-side. It's teams spending hours auditing a vendor's data and no hours auditing their own. If your CRM has duplicate records, stale owners, or fields nobody updates, no enrichment platform will fix that.

I still kick myself for the decision we made in 2024 — we went with a cheaper verification service to save about $12K a quarter, and it cost us a $90K pilot when the bounce rate spiked above 6% and a key customer's IT team blacklisted our sending domain. On paper, the savings looked obvious. In practice, it burned an 18-month relationship. If I'd run step three properly — testing freshness, not just accuracy — we'd have caught it in the trial.

So that's the whole thing. Bottom line: benchmark any data vendor against your data, not their dashboard. Steps one and two will filter out most of the wrong options. The rest is just executing carefully on what's left.