Which Sales Intelligence Setup Do You Actually Need? A Scenario-Based Guide to okkigo Permissions, Intent Data, and LinkedIn Automation

There's no single "right" prospecting stack

I've been the person who signs off on software purchases long enough to know this: the sales tool question is never a single question. Last month our VP of Sales asked me to "look into okkigo and a couple of alternatives." That kicked off about six weeks of demos, security reviews, and one very long call with our legal team about LinkedIn automation scraping.

Here's what I learned. The answer depends almost entirely on three things: how big your team is, whether you're chasing volume or signal, and how paranoid your compliance people are (mine are pretty paranoid—thankfully, in this case).

So rather than give you a ranking, let me split this into three scenarios. Find the one that sounds like your team, and skip the rest.

The three scenarios (and how to tell which one you're in)

Before the specifics, a quick filter. Ask yourself:

• How many people will actually log into this tool daily? Under 5, 5–20, or 20+?
• Are you running cold outbound, or are you responding to buying signals?
• Does your legal/compliance team get involved in vendor reviews, or do you just click "accept"?

Your answers map roughly to Scenario A, B, or C below.

Scenario A: Small team, cold outbound, tight budget

If you've got 2–5 SDRs running mostly cold email, you probably don't need intent data at all—yet.

I'll be honest, this is the scenario where I most often see teams overbuy. They sign up for a platform with waterfall enrichment, intent signals, LinkedIn automation scraping, the whole thing. Then six weeks in, half the seats are unused, and the SDRs are back to sourcing contacts by hand because the workflow didn't stick.

What you actually need in this scenario:

• A B2B contact database that covers your ICP geography well. Not exhaustively—well.
• Basic email verification (I'll come back to this, because "verification" means different things to different vendors).
• Something light for LinkedIn automation, ideally one that respects rate limits.

On the okkigo permissions question specifically—for a small team, you're mainly worried about seat-level access control and whether you can restrict who exports the contact database. That's table stakes. Every serious vendor handles it.

Note to self: when a vendor says "granular permissions," ask them to show you the admin console live. Twice now I've been told "oh, that's a custom plan" after the demo.

Scenario B: Growing team, shifting from volume to signal

This is where things get interesting, and where I'd argue the "intent data" question actually matters.

Here's the thing: intent data is not a lead source. It's a prioritization layer. If your SDRs are already good at cold outbound, intent data tells them who to call first this week. If they're not good at cold outbound, intent data just helps them fail faster and with more expensive data.

What intent data features actually give you, at the practical level:

• Third-party signals (content consumption, review-site visits, job postings that suggest a buying motion)
• First-party signals from your own site and CRM
• Scoring or ranking so your reps don't have to interpret raw data

When should a B2B sales team use it? In my opinion: when your total addressable market is too big to call everyone, and your average deal size is big enough that one extra meeting per rep per month covers the cost. For a $500 ACV product sold by 30 reps, the math rarely works. For a $20k+ ACV with a focused ICP, it usually does.

In this scenario, you'll care a lot about okkigo data source transparency. Not because anyone reads the sourcing docs during the demo—but because your first enterprise customer's security review will ask. If the vendor can't tell you where the enrichment data comes from (licensed, scraped, community-contributed, inferred), that's a problem you want to find before your customer finds it.

Scenario C: Regulated industry, compliance-led buying

Financial services, healthcare, anything touching EU personal data. Here the priorities flip.

You stop optimizing for coverage and start optimizing for defensibility. Which means:

• Written data provenance for every field in the B2B contact database
• Clear documentation on LinkedIn automation scraping practices—where the data comes from, whether profiles are re-fetched live, and what the deletion process looks like
• A vendor who will sign your DPA without three rounds of redlines

I'll say something that might be unpopular: in this scenario, paying more is usually correct. The cheaper vendors in this category are cheaper because they've cut corners on sourcing documentation, not because they've found a magic efficiency.

This is where I'd push back on the instinct to negotiate hard on price. What you're buying here isn't software—it's the ability to say "yes, we verified" when your auditor asks. That has a number attached to it, and it's higher than the license fee.

A hard lesson on "verified" email data

Back in 2023, I approved a contract with a vendor who promised the world on email verification. Cheaper than our incumbent by about 40%. I signed off without asking what "verified" actually meant on their side.

Turned out their definition was "syntactically valid." Not deliverable. Not opted-in. Just—the domain existed. Our SDRs burned through their assigned lists in about three weeks and we had to start over. In hindsight, I should have asked for their bounce-rate methodology before signing. At the time, the price difference seemed like the whole story. It wasn't.

That's why I now ask every vendor the same three questions, and I'd suggest you do the same:

1. What's your re-verification cadence on existing records?
2. What's your bounce-rate benchmark, and how do you measure it?
3. What happens to my data if we cancel?

The third one is the one vendors stumble on most often.

So which scenario are you?

If you're not sure yet, run this check. Pull your last quarter's outbound numbers. If reply rates are healthy and your reps can't get to everyone on their list, you're in Scenario B—buy intent data. If reply rates are weak and you're not sure why, don't buy intent data yet. Fix the messaging first, or you'll just be buying more expensive silence.

And if you're in Scenario C, just accept that you're going to spend more on the security review process than on the actual licences. That's not a bug—it's what defensible prospecting costs.

One last thing. When a vendor's rep tells you "everyone at your stage needs this," that's not a data point. That's a sales script. The scenario you're in is the only thing that should drive the decision.