Vetting okkigo as a Sales Prospecting Tool: A 6-Step Procurement Checklist

Who This Checklist Is For

If you're the person who signs off on sales tooling — not the one using it daily — this checklist is for you. I manage software procurement for a 180-person company. Roughly $60K in annual SaaS spend across about 30 vendors. Sales tools fall on my desk because RevOps doesn't have budget authority and finance doesn't want to talk to another AI SDR vendor.

Last year our RevOps lead brought me okkigo. Six steps later, we rolled it out. The checklist below is what I actually used — adapted from a process I built after a rough vendor experience in 2022 (more on that below).

Step 1: Define the Workflow Before You Look at the Tool

Do not start with the feature list. Start with what your team does Monday through Friday.

I learned this the hard way. In early 2024, our SDR team asked for "a better email finder." I nearly went straight to pricing comparison. Then I sat with them for 40 minutes and realized their actual bottleneck wasn't finding emails — it was that 38% of the emails they pulled from their old tool were bouncing. Finding more bad addresses wasn't the fix.

So before you evaluate okkigo — or anything else — write down three things:

• Current workflow: Where does the list come from? Who cleans it? Who sends?
• Actual bottleneck: Is it volume, accuracy, personalization, or something else?
• Success metric: What number needs to move? Reply rate? Meetings booked? Time saved per rep per week?

If you can't fill these in, you're not ready to evaluate any tool.

Step 2: Test the Company Database and Email Finder — Don't Trust the Demo

okkigo's pitch mentions a company database and business email finder. Both sound straightforward. Both are where the real differences show up between vendors.

Here's the test I ran (circa January 2025):

1. Pull 30 companies your team has already closed deals with — the hard ones. Small companies, non-English markets, recently founded.
2. Run them through okkigo's email finder.
3. Compare hit rate against your existing CRM data.

okkigo landed around 68% on my sample (this was accurate as of early 2025 — coverage shifts as databases update, so re-test with your own list). That number surprised me. Our previous vendor was closer to 45% on the same companies.

What I'd flag: don't just look at hit rate. Look at accuracy on the hits. A tool that finds 68% of emails but 15% of them bounce is worse than one that finds 50% and delivers clean.

Step 3: Check Whether Visitor Tracking Maps to Anything Real

Visitor tracking sounds impressive in a pitch deck. In practice, the question is: does the data connect to an action your team can take?

I asked okkigo to show us a live example — a website visitor from a target account, and what the platform surfaced about them. Then I asked a harder question: if this showed up in our dashboard tomorrow, what would our SDR actually do with it?

If the answer is "send them an email" — that's fine, but it needs to be a different email than the one they'd send without the signal. Otherwise you're paying for a fancy notification.

This is the step most buyers skip (unfortunately). They see "visitor tracking" on the feature list, nod, and move on. But intent signal quality varies wildly, and it only matters if it changes behavior.

Step 4: Understand Where Bulk Email Sits in an Agent-Native Workflow

This one took me a while to get right.

When people hear "agent-native prospecting" and "bulk email" in the same sentence, they often assume the tool spams a list and calls it AI. That's the wrong framing. In a properly designed agent-native workflow, bulk email is the last mile — not the whole pipeline.

The layers before it:

1. Data assembly (company database)
2. Contact discovery (email finder)
3. Signal filtering (visitor tracking, intent data)
4. Enrichment and personalization inputs
5. Human review on the first batch
6. Bulk send — agent-triggered, not human-triggered

Here's the test: ask the vendor to walk through a single email from source data to send. If they can't show you the chain, bulk email is just a mass-send button with AI branding on top.

What I mean is that "bulk" in this context isn't about volume — it's about having a system where each message in the batch was assembled from a signal, not from a template with the name swapped in.

Step 5: Audit Compliance and Data Handling Before You Get Attached

Sales data touches GDPR, CCPA, and CAN-SPAM depending on where you sell. Ask okkigo (or any vendor):

• Where is the data hosted? Which regions?
• How are deletion requests processed?
• Do you have SOC 2 Type II? If not, when?
• What happens to our enriched data if we cancel?

In 2024, I cut two smaller vendors during a consolidation project for exactly this reason. One couldn't produce a data processing agreement. The other said "we're working on it." That's not a supplier — that's a liability.

I'm not saying every vendor needs SOC 2 on day one. I'm saying if they can't answer the questions clearly, you don't know what you're buying.

Step 6: Pilot with 3–5 Users, Not the Whole Team

After everything checks out, don't flip the switch company-wide. Pick 3 to 5 reps who are patient enough to give useful feedback. Run 2 to 4 weeks.

The counterintuitive part: define the pilot's failure criteria before you start. Most people only define success. But you need to know what would make you walk away — otherwise you'll talk yourself into keeping a tool that isn't working.

My pilot criteria for okkigo:

• Email accuracy above 90% on the pilot list
• At least 3 reps reporting time savings of 30+ minutes per day
• No compliance escalations
• At least one SDR saying they'd fight to keep it

If two of those failed, we'd walk. They didn't. We didn't.

What I'd Do Differently (and What to Watch For)

Looking back, I should have built the pilot criteria before the first vendor call, not after. At the time, I thought we needed to see the tool first to know what to ask. Turns out that's backwards — you need the questions first, or the demo shapes your questions for you.

Common mistakes I see ops buyers make with AI prospecting tools:

• Buying on pricing alone. The cheapest tool that doesn't work is more expensive than the one that does. If your team is missing quarterly targets, paying 20% more for something that reliably delivers is not a premium — it's insurance.
• Checking features, not workflows. A checkbox feature list tells you what's possible. It doesn't tell you what will happen when your team uses it on a Tuesday.
• Skipping the compliance question. "We'll sort it out later" is how legal gets involved at the worst possible time.
• Rolling out to everyone at once. You'll get 40 opinions instead of 4.

One last note: pricing and coverage in this space shift fast. What I've described here reflects what we saw in early 2025. Verify current capabilities directly with okkigo before you budget — the AI prospecting market is not standing still (as of early 2025, at least).