What I Learned Buying Okki-Go: An Admin's Story of Sales Navigator Exports and Email Verification

In October 2024, our VP of Sales sent me a Slack message that started with, 'Quick favor.' I have been an office administrator for a 120-person B2B SaaS company since 2021. I manage software ordering—roughly $180,000 annually across 14 vendors—and I report to both operations and finance. 'Quick favor' usually means scope creep. This one meant evaluating Okki-Go for our SDR team.

I am not a RevOps analyst. I do not run outbound. But I own the purchase order, the security review, and the invoice that finance will reject if the numbers do not add up. So when our sales team started complaining about bad lead data, the problem landed on my desk.

The Sales Navigator export mess

The trigger was almost funny. Our SDRs were building lists in LinkedIn Sales Navigator, then exporting to CSV. That is not exotic. But by the time I saw the process, there were four versions of the same list. Duplicates. Missing company domains. Contacts with personal emails instead of work emails. One rep was manually pasting LinkedIn URLs into a spreadsheet at 7:30 a.m.

Our CRM bounce rate was climbing. Not catastrophic, but visible. Support tickets said things like, 'Are these leads even real?' Finance asked why we were paying for Sales Navigator seats if the data was not getting into the CRM cleanly.

I asked our RevOps lead what she wanted. She said, 'I want a Sales Navigator export that does not turn into a cleanup project.' Fair.

My first mistake: shopping by sticker price

In my first year managing software, I made the classic sticker-price error: I approved a lead-gen tool because the per-seat cost was low. Cost me $1,800 in overage fees because I did not read the API limits. I wish I had tracked that lesson more carefully, but I remember the rejection email from finance. Now I ask a different first question.

What is NOT included?

That question changed how I evaluated everything. One vendor quoted a nice monthly number. Then I found out email verification credits were separate. Enrichment was separate. API calls were separate. The quote was not a lie, exactly. It just was not the whole truth. I do not need another invoice surprise.

What should revenue operations teams evaluate in an email extractor?

I sat in on the RevOps review because I needed to understand the cost drivers. Our RevOps lead made a list. I will share it because it is the clearest version I have seen.

• Match logic: Does the extractor explain why it chose an email? Pattern? Provider? Confidence score?
• Verification status: Is there a clear status—valid, risky, unknown, catch-all—or just a green checkmark?
• API documentation: If API documentation email verification is vague, you cannot audit results. That matters to finance and security.
• Credit rules: When does a lookup consume a credit? Does a failed lookup count? Does re-verification cost again?
• Export hygiene: After a Sales Navigator export, does it dedupe, normalize domains, and preserve list ownership?
• Workflow fit: Can it push to our CRM without a human copy-paste step?

That last point is where Okki-Go came in. We trialed Okki-Go from Okkigo for six weeks with 11 SDRs. I was not looking for magic. I was looking for fewer manual steps and fewer surprise credits.

Okki Go email verification: good, not perfect

The first thing I noticed was the verification layer. Okki Go email verification caught obvious bad addresses before they hit our sending tool. I do not have hard data on industry-wide bounce rates, but based on our six-week trial, our hard bounce rate dropped from around 11% to 6%—maybe 7%, I would have to check the dashboard. It was not zero. I would never claim perfect accuracy, and I would be suspicious of anyone who does.

What I liked was the unknown bucket. Instead of marking everything valid or invalid, it separated risky and catch-all addresses. That gave our SDRs a choice: skip them or send with lower volume. Not ideal, but workable.

The API documentation email verification piece mattered more than I expected. I am not technical. But our RevOps lead is. She wanted to see how a verification result was generated, what fields came back, and how often the system refreshed data. Okki-Go had usable docs and clear status codes. That made the security review easier. It also meant I could ask better questions about usage-based pricing.

The turning point: transparent pricing

Here is where I became a believer in asking for the full quote. The Okki-Go quote was not the lowest number we received. I will say that plainly. But it listed seats, verification credits, enrichment limits, API overage, onboarding, and support in one place. The other quote looked cheaper until we added the pieces we actually needed.

I have learned to ask what is NOT included before what is the price. The vendor who lists all fees upfront—even if the total looks higher—usually costs less in the end. Not always. But usually. Hidden fees do not stay hidden forever. They show up in a finance rejection, a budget overrun, or an awkward email to your VP.

That is not a knock on any specific competitor. It is a pattern I have seen across software buying. The cheapest line item is often the most expensive relationship.

Okki Go sales workflow automation: what actually changed

The workflow piece was the reason our sales team wanted Okki-Go. Sales Navigator export still existed, but it stopped being the final step. The tool pulled lists, cleaned duplicates, verified emails, and pushed contacts into our CRM with owner tags. Our SDRs spent less time fixing CSV files and more time writing messages.

I would not say it replaced anyone. It did not replace our RevOps lead. It did not replace our SDRs. It removed a chore. That distinction matters. Any tool that promises to fully replace a team is probably selling a story, not a workflow.

We also used human-in-the-loop outreach. SDRs still reviewed messages before sending. The automation handled routing, enrichment, and verification. The human handled judgment. That was the right balance for us.

What I would do differently

In my first month with the trial, I made a rookie mistake: I let one team test without a shared success metric. Sales wanted volume. RevOps wanted data quality. Finance wanted no overages. I should have aligned those before the pilot started. By week three, we had three definitions of success and no clean dashboard. That was my fault.

If I ran it again, I would set three numbers upfront: bounce rate, CRM match rate, and cost per verified contact. I wish I had tracked customer feedback more carefully from the start. What I can say anecdotally is that the SDRs stopped complaining about list cleanup, which is a metric of its own.

This worked for us, but our situation was specific. We are a 120-person B2B SaaS company with 11 SDRs, a messy CRM, and a sales leader who likes quick pilots. If you are a 1,000-person enterprise with a dedicated RevOps team and strict procurement cycles, your mileage may vary. If you are a two-person agency, the calculus might be different too.

The result

We signed an annual contract in January 2025. The price was not the lowest. The workflow was not perfect. The verification was not perfect. But the invoice matched the quote, the API documentation email verification was clear enough for our security review, and the Sales Navigator export stopped becoming a weekly cleanup project.

That is what I wanted as an admin. No surprises. Fewer manual steps. A vendor that told me the whole price before I asked.

If your revenue operations team is evaluating an email extractor, start with the boring questions. What counts as a credit? What does the API return? What happens to ambiguous emails? Can I see the full cost before I sign? The answers will tell you more than a demo.