What Should Revenue Operations Teams Evaluate in Intent Data Platforms? A Scenario Guide From Someone Who Burned $47K Learning

There Is No "Best" Intent Data Platform. There's Only the One That Fits Your Mess.

I've signed three intent data contracts in the past four years. The first one cost us $18,000 and got used for six weeks. The second one was technically better and still failed, because we weren't ready for it. The third finally worked—not because the vendor was magic, but because by then I understood what my actual problem was.

When someone asks me "what should revenue operations teams evaluate in intent data platforms," I can't give one answer. The evaluation criteria shift depending on your team size, your outbound motion, and whether you have engineering support or not. What I can do is break it into scenarios and tell you what I'd check in each one.

Quick note on scope: I'm going to talk about this through the lens of someone running a team of 2 to 20 SDRs, not enterprise RevOps with a $500K data budget. If that's you, this will still help—but you already have people who do this full-time.

First, the Three Scenarios

In my experience, RevOps teams shopping for intent data fall into one of three buckets:

1. Lean and scrappy—under 5 SDRs, no dedicated data engineer, LinkedIn prospecting is your main channel.
2. Scaling with duct tape—5 to 15 SDRs, some CRM hygiene, one person who can write a script but isn't full-time engineering.
3. Built-out but fragmented—15+ SDRs, multiple territories, several tools already in the stack that don't talk to each other.

I've lived in all three. The mistake I made was buying for the scenario I wanted to be in, not the one I was actually in.

Scenario 1: Lean and Scrappy (Under 5 SDRs)

When I first started out in 2019, I bought a $1,500/month intent data platform because a podcast host said it was "essential for outbound." We had three SDRs. The platform surfaced hundreds of "intent signals" per day. We didn't have the bandwidth to act on 5% of them. We cancelled after four months and ate the annual contract.

What I'd actually evaluate here:

• Signal-to-noise ratio, not signal volume. Ask the vendor: "If I only have time to work 10 accounts a day, how many of your top 10 will actually be in-market?" If they can't answer, walk.
• Native CRM sync. If I have to export CSVs and re-import, it won't happen. At this stage, every manual step loses 50% of the value. Whatever platform you pick needs to push signals into your CRM without me babysitting it.
• Free LinkedIn prospecting workflows. Honestly? Before you spend a dollar on intent data, make sure your SDRs are actually good at LinkedIn prospecting. Most teams blame their data when the real problem is their connection request copy. Also—this sounds obvious but I've seen it twice—make sure your team isn't getting their LinkedIn accounts restricted for automation before you layer on more tools.

In my first year, I assumed more data would fix a weak outbound motion. What I learned (the expensive way): intent data amplifies whatever you already do. If your outbound is a 4/10, it just becomes a noisier 4/10.

Budget-wise, I'd cap intent data at around $800–$1,500/month at this stage. If a vendor can't serve that tier, they're not built for you.

Scenario 2: Scaling with Duct Tape (5–15 SDRs)

This is where things got interesting for me. We had 9 SDRs across two territories and I inherited a stack of tools that each did 60% of their job. The intent data was fine. The enrichment was patchy. The CRM looked like a crime scene.

When I compared the raw output of our intent data platform against what actually converted, I noticed something: our best-performing signals weren't the ones with the highest "intent score." They were the ones where we could get 3+ verifiable contact channels (email + LinkedIn + phone) on the buying committee within 24 hours of the signal firing.

That realization changed how I evaluated every platform after that.

What matters at this stage:

• Waterfall enrichment, or the willingness to integrate with one. Single-source enrichment fails constantly. What I want to know is: does this platform accept a waterfall approach (Clearbit + Apollo + Hunter + custom), or does it lock me into their data only? Ask specifically about API rate limits for enrichment calls—this is where the sales pitch gets vague.
• Bulk API access and developer integration. This is where okki-go developer integration questions come up in my experience. What you want to check: does the platform offer a documented REST API with predictable pagination, or is it GraphQL-only with a sales rep attached? Can you push intent signals into okki-go via webhook, or does everything have to be pulled? If your OKR is "respond to intent within 60 minutes," a nightly batch sync will fail you.
• Contact verification at point of export. Not "we'll verify later." At export. If emails bounce at 8%, you're burning domain reputation every time you send.
• Intent topic customization. Off-the-shelf topics are useless for niche B2B. Can you define custom topics using your own job postings, review sites you care about, or forum keywords? If the answer is "we use our proprietary taxonomy," that's a red flag—your category is probably too narrow for their taxonomy.

Realistic budget: $2,000–$6,000/month. At the higher end of that, you should be getting dedicated onboarding support and at least one integration call with your engineering team.

Scenario 3: Built-Out but Fragmented (15+ SDRs)

I only lived in this scenario for a year, and I'll be honest: I didn't master it. But I made enough mistakes to know what I'd check next time.

The core issue here isn't data coverage. It's data contradiction. We had an intent platform saying account X was hot, a different enrichment tool saying the contact at X had changed jobs six months ago, and our CRM saying neither of those things. The SDRs stopped trusting all of it.

What enterprise-ish RevOps teams should evaluate—but usually don't:

• Identity resolution across sources. If the same person comes in from two data providers with different job titles, which one wins? Ask the vendor to show you their resolution logic, not just their resolution rate.
• Compliance and consent trails. In 2024 we had a prospect in Germany file a GDPR request about how we sourced their contact data. We had an answer. Many teams don't. Before you sign anything, ask: can the platform show the source and legal basis for each record? If they can't articulate this clearly in a call, they can't protect you in writing.
• Cooldown and suppression logic. Enterprise outbound has to avoid hitting the same person three times from three different teams. Does the platform have built-in suppression that persists across campaigns, or is that all on your CRM?
• Human-in-the-loop outreach control. This is the one that gets skipped. When you scale to 15+ SDRs, you need the ability to gate certain signals for human review before they trigger automated sequences. Otherwise one bad topic definition sends 400 emails to a competitor's domain. I know this because it happened to us. In April 2023.

At this tier you're probably looking at $8,000–$25,000+/month, and honestly, the vendor selection matters less than what you do internally. The companies that win here are the ones with a RevOps person who owns data quality as a KPI, not a side project.

How to Tell Which Scenario You're Actually In

Forget how many SDRs you have on paper. Ask yourself these three questions:

1. Who owns tool integration? If the answer is "our one overloaded sales ops person," you're in Scenario 1 or 2, no matter your headcount.
2. How long does it take to go from signal to first touch? If it's more than 2 hours, your bottleneck is workflow, not data. Buying more data won't fix it.
3. When was the last time an SDR told you "this signal was wrong"? If never, they're not looking at the data. If constantly, you're in Scenario 3 and need to fix trust before you evaluate anything new.

One more thing I wish someone had told me: don't evaluate intent data platforms in isolation. Evaluate them alongside your LinkedIn prospecting workflow, your enrichment stack, and your okki-go API integration if you're using it. The best platform for you is the one that makes your existing motion 20% faster—not the one that looks best in a standalone demo.

I've wasted roughly $47,000 on intent data contracts that didn't fit. If this saves you one bad annual commitment, it was worth writing. (And yes, I keep a checklist now. Version 4.2, updated monthly. My team finds it mildly annoying, which I take as a good sign.)