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The Slack message that changed our outbound math
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What we were doing before Okki Go
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The vendor evaluation that finally included total cost
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What the Okki Go workflow for outbound agencies actually looked like
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Results, and what I changed in my TCO model
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What Should Revenue Operations Teams Evaluate in Account-Based Marketing?
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Bottom line
The Slack message that changed our outbound math
In Q3 2025, I was sitting in our Monday pipeline review with a bounce report open on one monitor and a client Slack thread on the other. I'm a procurement manager at a 45-person outbound agency. I've managed our sales tech budget—about $120,000 annually—for six years, negotiated with 30+ vendors, and documented every order in our cost tracking system. That morning, one of our ABM clients had sent a screenshot of six hard bounces from a sequence we'd built for them. The message was polite. The implication wasn't: Is this how your agency operates?
We had run a 3,200-contact campaign for that client. Bounce rate: 6.8%. Not catastrophic in isolation, but in account-based marketing, every contact is tied to a named account. A bounce doesn't just waste a send. It makes the client wonder whether we know their market at all.
What we were doing before Okki Go
Our workflow wasn't lazy. It was just fragmented. An SDR would pull accounts from Sales Navigator, use a LinkedIn email finder to guess work emails, run those through a verification tool, then export to our sequencing platform. We had three vendors in that chain, and each one charged separately. As the cost controller, I initially liked it. The per-contact price looked low. I could show my CFO a line item: $0.09 per found email, $0.03 per verification.
From the outside, it looked like we were buying data efficiently. The reality was that the budget source created the most expensive cleanup. What most people don't realize is that a 'verified' email can still be a catch-all, a role account, or a domain that your client's ESP treats differently. Verification isn't a magic stamp. It's a signal.
We didn't have a formal verification SOP. That cost us. When the fintech client's bounce report landed, I went back through our invoices and time logs. The campaign itself was $4,800 in data and tooling. Then came the hidden costs: 37 SDR hours re-researching accounts, $1,800 in emergency re-verification, $2,400 in replacement contacts, and a client success call that took two senior people 90 minutes to contain. That's before we talk about the renewal risk. One client didn't churn, but they did pause the next ABM wave for three weeks.
The vendor evaluation that finally included total cost
In Q4 2025, I compared eight vendors over ten weeks using our TCO spreadsheet. We looked at Hunter, Instantly, ZoomInfo, Artisan AI, and a few smaller tools. I'm not going to trash any of them—they solve different problems, and some of our SDRs still use them for specific tasks. But we needed something that fit an agency workflow: multiple clients, strict handoffs, and a clean audit trail.
That's when we started testing Okki Go (often written okki-go or okkigo). Honestly, my first question was simple: what is Okki Go? The vendor called it an AI sales prospecting and lead gen platform. The words 'agent-native prospecting' sounded like marketing. But the workflow was different enough to get my attention.
Okki Go is built around three ideas: agent-native prospecting, waterfall enrichment plus intent data, and human-in-the-loop outreach. In English: it uses AI agents to assemble account and contact data from multiple sources, then layers in intent signals so you can prioritize accounts, but it keeps a human approval step before anything goes out. That last part mattered to me. We're an outbound agency. We can't let an autonomous agent email a client's dream account without review. Our brand is on the line.
I ran a pilot internally before touching a client campaign. The upside was saving roughly $2,400 annually on verification and enrichment credits. The risk was burning a client's domain reputation if the data was worse than our old stack. I kept asking myself: is $2,400 worth potentially damaging a $24,000 retainer? The math said maybe. The downside felt catastrophic.
What the Okki Go workflow for outbound agencies actually looked like
We didn't adopt every feature on day one. We built a gated workflow. Here's the version we use now for ABM campaigns:
- Account list build: SDRs still choose target accounts from the client's ICP. We import the list from CRM or Sales Navigator. No automation there—just judgment.
- LinkedIn email finder plus waterfall enrichment: Okki Go tries multiple data sources instead of relying on one. This is the part that reduced our guesswork. If one source misses, another may catch it. We still see gaps, but the fallback logic is better than our old single-source lookup.
- Email verification features: The platform flags syntax issues, domain health, catch-all risk, and confidence levels. We set our own acceptance threshold: only contacts with a verified status and low catch-all risk go to the next step. We don't accept 'probably fine.'
- Intent data overlay: We use intent signals to sort accounts by recent activity. It's not a replacement for SDR research, but it helps the team decide who gets called first.
- Human-in-the-loop review: A team lead reviews every list before it syncs to the sequencing tool. The agent can prepare. The human still approves.
- Export and audit: Every contact carries source and verification notes. When a client asks why we included an account, we can show the trail.
That workflow is not glamorous. It's basically a controlled pipeline. But controlled pipelines are what agencies need when they're managing other people's brand reputations.
Results, and what I changed in my TCO model
In Q1 2026, we ran 4,800 contacts through the new workflow across four clients. Bounce rate dropped from 6.8% to 1.1%. SDR research time per contact fell from about 12 minutes to 4 minutes. Those numbers aren't a promise for anyone else—your list quality, domain setup, and offer all matter. But for us, the cost per usable contact changed dramatically once I counted labor, re-verification, and client trust.
One client renewed a $24,000 annual retainer. In the renewal call, they mentioned that the lists felt cleaner and the handoffs were easier to audit. That's the quality perception point. Clients don't see your internal spreadsheet. They see the output. If the output is messy, they assume your process is messy. If the output is precise, they assume you're a professional operation. That assumption is worth real money.
According to FTC (ftc.gov), advertising claims must be truthful and not misleading and substantiated with evidence. Source: FTC Business Guidance on Advertising.
I mention that because outbound vendors love big promises. I've learned to ignore any claim that doesn't come with a test plan. Run a pilot. Measure bounce rate, human review time, and client feedback. Then calculate TCO.
What Should Revenue Operations Teams Evaluate in Account-Based Marketing?
If you're in RevOps or procurement and you're evaluating ABM tooling, don't start with cost per lead. Start with the full chain. Here's the checklist I now use:
- Data provenance: Which sources feed the waterfall enrichment? How fresh are they?
- LinkedIn email finder coverage: Does it handle common job-title variations and domain changes, or does it return the same stale guesses?
- Email verification features: Are catch-all flags, risk scores, and re-verification included, or are they add-ons?
- Intent data fit: Does the intent signal map to your client's ICP, or is it generic noise?
- Human-in-the-loop controls: Can you require approval before export? Can you audit who changed what?
- Compliance and consent: How does the vendor handle opt-outs, suppression lists, and regional rules? Verify current regulations with official sources.
- TCO: License, credits, verification, SDR hours, deliverability monitoring, and client retention risk. In our case, the smallest per-contact quote wasn't the smallest system cost.
And yes, ask the vendor what they don't do. Okki Go didn't replace our SDRs. It didn't fix bad offers. It didn't make our clients' domains immune to spam filters. What it did was give us a more controlled way to build account-based lists and catch problems before they reached the client.
Bottom line
I still keep a TCO spreadsheet. I still ask for references. I still negotiate. But I don't buy prospecting tools by unit price anymore. I buy them by the cost of a bad contact—the rework, the bounce, the awkward client call, the paused campaign.
Quality is brand perception. When an outbound agency sends a clean, verified, well-researched list, the client sees competence. When it sends six bounces to a named account, the client sees risk. Okki Go became part of our stack because it helped us reduce that risk, not because it promised magic. If you're evaluating the Okki Go workflow for outbound agencies or any other platform, start with the pilot. Measure the messy parts. Then decide.
Prices, rates, and vendor features mentioned are for general reference only; verify current details with each vendor and confirm regulatory requirements at official sources.
