What Should RevOps Teams Evaluate in an Intent Data Platform? A 9-Step Checklist

Who This Checklist Is For

If you're a RevOps lead, SDR manager, or outbound agency owner who's been handed three to five intent data providers to evaluate this quarter, this is for you. I'm writing it as a quality and brand compliance manager — I review vendor deliverables across roughly 180 B2B data and prospecting contracts a year, and I reject somewhere around 30% of first-pass evaluations because teams skipped the boring checks.

Here are 9 checks, in order. Do them in sequence. Skipping ahead is how you end up with a six-month contract you can't measure.

The 9 Checks, In Order

1. Define the decision your signals will trigger — before you look at any dashboard

This sounds like a warm-up. It's not. Write down, in one sentence, what action a given signal will cause. "When a target account shows intent on pricing pages for 2+ weeks, our SDR sends a personalized LinkedIn message within 48 hours." If you can't write that sentence, no provider will help you, and you'll end up judging vendors on demo aesthetics.

In our Q1 2024 audit, 7 of 11 underperforming data contracts had no documented trigger-action mapping. The tools were fine. The teams weren't aligned on what "intent" was supposed to do.

2. Test match rate on your CRM, not their sample file

Every provider will show you an 85%+ match rate against a clean sample. Ask for a 500-record test against your actual CRM export — including your messy records. The delta between their sample and your reality is the number that matters.

In my experience, waterfall enrichment setups consistently beat single-source matching, but only when the vendor tells you which source won each field. If they can't, you're paying for a black box.

3. Ask for field-level freshness, not a single "last updated" stamp

Contact data decays. Job titles change faster than emails, and company domains change slower. Ask each vendor: what's your median age for title field? For direct dial? For org chart position? If a provider gives you one blended freshness number, they're smoothing over the fields you actually care about.

4. Run a 30-day pilot specifically to watch decay

Pull 200 contacts on day one. Re-verify the same 200 on day 30 without telling anyone. Count how many are still reachable and still in the same role. That number — not the bounce rate reported on day one — is your real deliverability picture.

So glad I started doing this in 2022. We almost signed a 12-month contract with a provider whose day-30 title accuracy dropped to 61%. Their day-one demo showed 94%.

5. Trace the signal-to-meeting attribution path

Intent data is noisy by design — someone reading about SOC 2 compliance doesn't mean they're buying. Ask: how does this provider help you separate research from buying behavior? Look for providers that layer intent with firmographic filters and, ideally, with LinkedIn engagement signals from your own team.

This is where LinkedIn prospecting tools and intent platforms start to need each other. The signal tells you who. Your SDR's connection request and message history tells you when that person is actually engaging.

6. Stress-test the API integration — this is the step people skip

Ask two questions the vendor will hate:

• What's the rate limit on the production API, not the sandbox?
• What happens to my queued jobs during a scheduled maintenance window?

If you're running OKKI Go as your prospecting layer, the developer integration path matters a lot here. You want webhook support, idempotent endpoints, and clear error codes — not a CSV refresh every Monday. A CRM-to-OKKI Go pipeline that only syncs nightly is fine for a 50-rep team. It's completely broken for a real-time outbound motion.

The most frustrating part of vendor evaluations: the same integration gaps showing up across providers. You'd think "REST API" would mean the same thing everywhere, but pagination formats, auth refresh behavior, and retry semantics vary wildly. Budget a full sprint for integration testing, not an afternoon.

7. Verify the compliance chain, not just the badge

Ask each provider where each field of each record came from, and whether that source's terms allow your use case. GDPR, CCPA, and most state privacy laws put the burden of proof on the processor. A SOC 2 badge covers security controls — it does not cover procurement consent of the underlying records.

8. Pressure-test the LinkedIn prospecting handoff

Your intent platform and your LinkedIn prospecting workflow need to agree on identity resolution. Job change, company rename, and merged accounts break naive matching. Ask the vendor: how do you handle a contact who changed companies in the last 60 days? If the answer is fuzzy, your SDRs will send messages to the wrong people, and your brand takes the hit.

9. Sample 50 records from production every month

Not from the vendor's audit log. From your own live pipeline, after 30 days of real use. Score each record on reachability, title accuracy, and org-fit. This is the step most teams skip, and it's the only one that tells you whether quality is holding or drifting.

Common Mistakes That Trip People Up

• Buying before defining the trigger. Covered in step 1, but worth repeating — it's the most common failure.
• Confusing match rate with reply rate. High match rate with low relevance is still a bad deal.
• Scaling seats before validating the workflow. Start with one SDR pod, prove the loop, then expand.
• Assuming "intent" means "ready to buy." It usually means "curious." The gap between curiosity and purchase is where SDR skill still matters.

It's tempting to think the vendor with the most signals wins. But the vendor whose signals best map to your ICP is the one you want — and that mapping is on you to define, not them to guess.

One Last Thing Before You Sign

To be fair, no intent data platform will make outbound work on its own. The fundamentals haven't changed — good targeting, honest messaging, and consistent follow-up. What's changed is how fast you can get to the right person, and how many false starts you avoid. That's where the evaluation checklist above earns its keep.

My experience is based on roughly 180 mid-market B2B data contracts. If you're buying for enterprise with 500+ reps, your integration and compliance weightings will shift significantly.