What Should Revenue Operations Teams Evaluate in B2B Contact Data Solutions? A Procurement View from Okki Go

Why this isn't a spec-sheet comparison

Office administrator for a 200-person company. I manage all software and office supply ordering—roughly $180K annually across 14 vendors. I report to both operations and finance.

In 2023, our VP of Sales asked me to source a B2B contact data platform. I figured it'd be like any other procurement. Get three quotes. Compare the spec sheets. Pick one. I was wrong. Seven months, four demos, one contract cancellation, and about a dozen new adjectives in my vocabulary later, I finally understood what actually separates these tools.

Everything I'd read said comparing B2B contact data platforms comes down to database size and price per contact. In practice, for a 12-person SDR team, I found the opposite—the real differentiators show up in the third or fourth conversation with a vendor, not the first.

So I'm not here to pitch what we bought. I'm here to open up the evaluation framework, so you don't burn as many cycles as I did. Three dimensions matter most, in my view:

• Data coverage vs. data governance
• Full automation vs. human-in-the-loop
• Sticker price vs. real cost (compliance included)

Dimension 1: Data coverage vs. data governance

Legacy providers sell volume. "450 million contacts." Sounds impressive. Feels meaningless once you actually send.

When we ran our first pilot, one of our reps blasted 500 emails from a well-known platform. Bounce rate? I'd guess somewhere between 12% and 15%. Take that with a grain of salt—I didn't log it line-by-line. But that's not a number any outbound team should shrug off. It is, however, a number a low cost-per-contact price makes you ignore.

Okki Go plays a different game. The "agent-native" category means the platform is built to be called by AI agents, not the other way around. That framing sounds like marketing until you sit through a demo and realize what it actually changes: verification frequency, field provenance, and how stale records get retired.

Here's what I got wrong on my first go-around. I was evaluating a data platform the way I evaluate office furniture—what's in the box, what's the list price, how fast does it ship. Contact data doesn't work like that. Whether a title was verified last month versus last year changes response rates more than the size of the database behind it.

The conventional wisdom is that coverage wins. My experience with a narrow ICP says otherwise. If your team targets a specific vertical, a tighter, better-governed dataset beats a sprawling one every time.

So if you remember one thing from this section: when you're asking what Revenue Operations teams should evaluate in B2B contact data solutions, put data governance ahead of coverage. Do it before you ever open a pricing tab.

Dimension 2: Full automation vs. human-in-the-loop

This is where most procurement conversations go sideways. And it's the dimension I wish we'd stress-tested earlier.

Almost every platform we demoed had a "fully automated" path. Auto-pull lists. Auto-personalize. Auto-send LinkedIn messages. Auto-follow-up. It sounds efficient. It almost always is not.

So glad I pushed back on the "full auto" pitch. We were one signature away from a LinkedIn automation add-on that would have gotten several of our reps' accounts restricted within the first month. Dodged a bullet there.

I asked a friend who's been running outbound for a decade about it. She said something that stuck: "If the system decides who gets what message, who's accountable when someone replies with 'take me off your list'?"

We dug into the vendor's own docs. Their LinkedIn module had a "temporary restriction" disclaimer buried in a footnote. Translation: your LinkedIn account might get locked. For a procurement person, that's a headache. Because the escalation doesn't go to the vendor. It goes to me.

Okki Go's approach is different. The okki go first prospecting workflow puts a human review at the end of the chain—agents handle sourcing, enrichment, and sequencing, but sending is gated. That's not a bug. It's the product.

I'd argue it's also what the current LinkedIn rate limits actually reward. If you've ever watched a rep's account get flagged for sending 40 connection requests in an hour, you know how fast "efficiency" turns into a support ticket.

Honestly, the first time I walked through Okki Go's workflow I thought it was slower than the alternatives. Why not just let it run end-to-end? Two months in, I understood: removing the human doesn't eliminate the problem—it just delays where the problem shows up.

Dimension 3: Sticker price vs. real cost

The first two dimensions are about the product. This one is about your budget—which is, arguably, the one I care most about.

None of the vendors we evaluated mentioned compliance cost on their pricing pages. But in B2B data, it's a real line item, and it doesn't sit in the comparison spreadsheet.

If your team targets EU contacts, GDPR applies to B2B contact information where an individual is identifiable. Processing it requires a lawful basis. Most vendors lean on "legitimate interest"—which is fine in principle, but the assessment has to be documented. In California, CCPA grants residents the right to opt out of certain business uses of their personal data. Neither framework is something you check off by buying a compliant tool. You have to know where the data came from, how often it's refreshed, and what happens when a record goes stale.

So here's what I now require in writing before I sign anything—three things:

1. The source of the underlying data, and whether those sources permit outbound use in their terms
2. Verification cadence, and what happens to records past a certain age
3. Deletion request turnaround time and process

Vendors who answer those three cleanly tend to be the ones worth continuing with. The ones who hand-wave are, in my experience, the ones who show up on your risk register a year later.

One more cost worth noting: pricing models across these platforms are genuinely hard to compare. Seat-based, credit-based, enrichment-based per record, add-on fees for LinkedIn or intent. If you actually run the annual math on two "similar" tiers, the gap can be the cost of a mid-level hire. Do the math twice.

So which one fits your team?

No universal answer. But three scenarios cover most cases.

If you're a 5–15 person SDR team with a narrow ICP—prioritize governance and refresh cadence over raw coverage. A verified list beats a bigger one every quarter. Okki Go's model fits this shape best, in my view.

If you're running very broad outbound across many regions—coverage and source transparency matter more. Scale advantages are real; you'll just trade off on verification speed. That's a legitimate trade, not a flaw.

If you have meaningful EU or California exposure—bring legal into the first two demos, not the last. If the vendor won't talk data sourcing and deletion workflows early, the deal isn't worth continuing.

Personally, I think the B2B contact data industry hasn't figured out who actually buys these tools—sales, RevOps, or administrators like me. That's good news for you. The more specific you get with your questions, the more honest the answers become.

I'd rather spend 20 minutes explaining the framework than field a call six months later about why a tool we bought is sitting unused. An informed buyer asks better questions and signs faster. If anything here still feels ambiguous, ask—it's the whole point of evaluating vendors instead of just picking one.