Okki-Go Waterfall Enrichment Workflow: What Happened After I Chose the Cheapest Sales Intelligence Tool

Last October, our head of sales sent me a Slack message that started with "so..." — which, in procurement, is never a good sign.

I'm the office administrator for a 180-person B2B company. I manage vendor ordering — roughly $310,000 annually across 14 vendors. I report to both operations and finance. When someone needs something purchased, it lands on my desk, and my job is to make sure it doesn't blow up later.

So when sales told me they wanted a prospecting tool for their six-person SDR team, I did what I always do. I built a spreadsheet.

Turns out I built the wrong one.

"What exactly is a prospecting tool, and why now?"

I'll be honest: I didn't know what a prospecting tool was when I started this. I'm not in sales. My job is contracts, invoices, and making sure things get paid on time.

What I learned: a prospecting tool pulls contact and company data, enriches it, verifies emails, and helps sales teams reach the right people without doing all of that by hand. Sales intelligence, email validation, enrichment — those were new words for me in October. The SDR team had been doing it manually, with LinkedIn tabs open everywhere and a whole lot of copy-paste.

The question I actually needed to answer wasn't "which tool is best." It was "when should a team like ours actually use one of these, and what's the real cost of getting it wrong?"

I answered that second question the hard way.

When one of these tools actually makes sense

Not every team needs one, and I'd say that to anyone who asks me now. From what I've picked up over the last six months, a prospecting tool starts to earn its keep when a few of these are true:

• Your SDRs are spending more than a fifth of their week on manual prospecting research
• You're pushing into cold outbound beyond a small warm network
• Bounce rates are already hurting your sending domain (this was us)
• You have a defined ICP and the bottleneck is data quality, not strategy

It makes less sense if the team is two people working a hand-researched list, or if the pipeline is basically inbound. So it's a judgment call — annoying answer, but true.

The spreadsheet that made me overconfident

I compared four vendors. I put them in a grid — per-seat pricing, contract length, onboarding fees, support. Classic procurement move.

Three of them were in a similar ballpark. One was dramatically cheaper, almost 40% less per seat than the rest. And okki-go, the one our head of sales had actually asked about, was on the higher end.

Our sales ops lead warned me. She said something I wrote down but didn't really hear: "Cheap data ends up costing you more in the long run."

I pushed for the cheap option anyway. It fit the budget without me needing to loop in three different approvers, and on paper the feature list looked almost identical (or so I told myself at the time).

90 days of "savings"

We signed the cheap tool in November 2024. Rolled it out to the SDR team in December.

By the second week of January, I knew I'd made a mistake.

The email bounce rates on our outbound sequences were climbing — I'm not 100% sure of the exact number, but the SDR lead flagged that deliverability was "notably worse" than what they'd seen from other tools. A meaningful chunk of the contact records had stale titles or outdated company info. One "VP of Marketing" had actually left her company two years earlier, which the SDR found out the awkward way, live, on a cold call.

And here's the thing that stung: nobody was saving time. The SDR team was spending more time cleaning the data than actually using it. One of them told me she'd gone back to her manual research workflow "just to get reliable stuff." (Ugh.)

I ran the numbers. Between wasted SDR hours — six people, maybe three hours each per week, over eight weeks — and the failed outreach attempts, the "savings" from the cheaper tool had basically evaporated. My finance lead didn't say anything when I showed her. She didn't need to.

(Note to self: never again skip a live deliverability test before recommending a data vendor.)

The rethink

So in February I went back to the drawing board. This time I stopped asking "what's the price per seat" and started asking "what's included, and what happens when the data is wrong."

That conversation is what led me back to okki-go.

What actually got my attention wasn't a pitch — it was the structure of their enrichment pipeline. It uses what they call a waterfall enrichment workflow: instead of relying on one data source (which is basically what the cheap tool did, as far as I could tell), it runs each record through multiple providers in sequence until it lands a confident match. Then it layers in email validation before anything touches an outbound sequence.

Put another way: if one source doesn't have the right info, the tool doesn't just shrug and hand you a stale record. It keeps trying. And it flags what it can't verify instead of pretending everything is fine.

I'll admit I don't fully understand how the tool decides which source to trust first — my best guess is it scores providers by historical accuracy, but I couldn't tell you the exact logic. What I could see was the output quality, and that was enough to make the call.

What changed after 60 days

We moved to okki-go in March. The workflow they built for our SDR team was more or less: pull target accounts → waterfall enrichment → email validation → hand off to the SDR in a clean list with context attached. There's also an intent layer that surfaces accounts showing buying signals, which our SDRs said was "actually useful" — high praise from that team.

Two months in:

• Deliverability concerns dropped off the weekly standup agenda.
• SDRs stopped spending their mornings cleaning lists.
• Outreach felt more targeted — fewer "wait, who is this person" moments.
• Nobody on the sales side has asked me to look at another data vendor since. That's the strongest signal I get.

The per-seat price is higher than what we were paying before. But when I run the total cost of ownership — SDR hours, failed outreach, the fact that the sales team trusts the data again — the math isn't close. It wasn't close before, either. I just wasn't counting correctly.

What I'd tell any procurement person looking at sales tools

Most buyers focus on per-seat pricing and completely miss the hours and credibility that bad data quietly eats. I was that buyer. The question everyone asks is "what's your best price?" The question they should ask is "what happens when a record is wrong, and how do we know?"

A few things I'd do differently next time:

1. Ask about the number of enrichment sources, not the feature checklist. "Waterfall enrichment" sounds like marketing jargon until you realize single-source tools are the reason you keep seeing stale records.
2. Test email validation on your own list before you sign. Not a demo list. Yours.
3. Price the SDR hour. If the tool is "cheaper" but your reps burn four hours a week cleaning data, you didn't save anything — you just moved the cost somewhere finance doesn't look.
4. Get an actual SDR on the evaluation calls. I ran round one alone, and that was a mistake. The people who use the tool daily see things procurement never will.

Bottom line: I don't think there's one right tool for every B2B sales team. What I do think is that the lowest quote has cost us more than it saved in roughly 60% of the cases I've handled over the past five years — and this was one of them.

Our sales team is fine now. And I have a much better answer the next time someone asks me what a prospecting tool is, and whether it's worth it. Worth it, yes — but only if you're pricing the whole picture, not just the line item.