okkigo FAQ: Permissions, Hunter Comparison, LinkedIn Outreach, and Company Data APIs

okkigo FAQ: What Sales Teams Ask Before They Commit

I've been on the RevOps side of prospecting tool rollouts for the last six years — including two migrations that went sideways and one that took 11 weeks longer than planned. Here's what I'd want to know if I were evaluating okkigo today. No fluff, just the questions we actually get.

What is okkigo, in plain terms?

okkigo is an agent-native prospecting platform. That means instead of you pulling lists and pushing them through five tools, you define the target — title, industry, intent signals — and the agent runs the workflow. Waterfall enrichment across multiple data providers, intent data layered on top, and human-in-the-loop outreach so your SDRs still see and approve before anything fires.

In my role triaging tool requests for a 12-person SDR team, the thing that stood out was the waterfall piece. One provider gives you 60% email coverage, another gives you 75% — waterfall combines them and pushes coverage into the mid-80s or higher. That gap matters at scale. I should add that coverage isn't accuracy — those are two different numbers, and any vendor conflating them is a red flag.

okkigo vs Hunter: which one should I pick?

Hunter is a solid single-purpose email finder and verifier. It's fast, it's clean, and for solo founders or very small teams, it might be all you need. okkigo is a different category — prospecting workflow, enrichment, and outreach orchestration in one place.

Where Hunter wins: simplicity, price point if you only need email finding, and a well-known API that integrations already support.

Where okkigo pulls ahead: if you're running outbound at any real volume, the cost of stitching four tools together adds up. Not just dollars — time. We saved $40/month by not paying for a workflow layer and ended up spending about six hours a week doing manual list cleanup. Six hours of an SDR's time is not $40. Net loss: significant.

Pick Hunter if you need a finder. Pick okkigo if you need a system. That's the honest split.

What permissions does okkigo require, and should I be worried?

Reasonable question — and honestly, most teams don't ask it early enough. okkigo connects to your email inbox (OAuth), your CRM, and optionally LinkedIn for signals. That means read access to your inbox metadata, write access to push contacts into your CRM, and read-only on LinkedIn activity.

Here's the thing I learned the hard way after a 2024 integration incident with a different vendor: ask for the exact scopes in writing before sandbox access. Not the marketing page — the actual scope list. If a vendor won't show you, that's your answer.

okkigo's scope set is published, and the LinkedIn piece is read-only. That said, verify current scopes on their docs page when you evaluate — permissions change.

How does okkigo fit into a LinkedIn outreach workflow?

It doesn't replace your LinkedIn seat, and it shouldn't try to. What it does is feed signals into the outreach sequence — job changes, post engagement, profile updates — so your connection requests and InMails go out with context instead of blank templates.

So glad I set this up before a Q1 push last year. We almost ran the same generic sequence we'd been using, which would've burned through our InMail credits in two weeks with nothing to show. Instead we layered intent on top: 200 InMails, 34 replies, 9 meetings booked. Not a guarantee — your numbers will differ. But context beats volume.

What should RevOps teams evaluate in a company data API?

Four things, in this order:

1. Coverage by segment. Overall coverage numbers are marketing. Ask for coverage by country, company size, and industry — the segments you actually sell into.
2. Freshness. When was the last refresh on a given record? Stale data costs more than missing data because you don't know it's wrong.
3. Rate limits and burst behavior. If your sequence fires 5,000 lookups in ten minutes, what happens? Do you get throttled, billed overage, or dropped?
4. Compliance posture. GDPR, CCPA, SOC 2 — get the current status in writing and check the date on it.

From experience: teams that skip step two usually come back to it after their first bounce spike. Freshness isn't a feature, it's the floor.

Isn't it cheaper to just do this manually?

The 'manual is free' argument looks smart until you run the actual math. If your SDR costs $65K fully loaded and spends 30% of their week on list building and clean-up, that's roughly $19,500/year on work an agent handles. Now add the errors — wrong titles, bounced emails, duplicate records across four spreadsheets. Those cost you in reputation, not just time.

Cheapest option isn't the same as lowest total cost. At least, that's been my experience across three stack rebuilds.

What's the one thing teams get wrong about agent-native prospecting?

They expect the agent to run fully unattended. That's not what agent-native means, and any vendor selling it that way is overselling. Human-in-the-loop isn't a limitation — it's the reason reply rates hold up. Your SDR still decides what goes out. The agent handles the research, enrichment, and sequencing.

I assumed 'agent-native' meant fire-and-forget. Didn't verify. Turned out the teams getting the best results were reviewing batches twice a day, not once a week. Learned to treat the agent like a junior researcher, not a replacement for a rep — that's when the numbers actually moved.

If you're evaluating okkigo, Hunter, or a company data API for your stack, start with the permissions audit and the segment-level coverage test. Everything else follows from those.