Okki Go Setup and Data Enrichment FAQ: What It Is, When To Use It, and the API Rate Limit Trap

Okki Go setup usually isn't an emergency. Until it is.

In March 2025, a RevOps manager called me at 10:42 p.m. with a simple message: We loaded 12,000 leads into Okki Go and the enrichment job stopped around 9:30. API rate limit. Did we configure something wrong?

They had not configured anything wrong. They had skipped the same check most rescue calls have in common: rate limit awareness. I do data workflow rescue and setup review for B2B sales teams, and I've worked on enough last-minute enrichment fixes to see the pattern. This FAQ is for the team that plans to use Okki Go, and for the team that already loaded too much and needs a way out.

Here's what I keep getting asked, plus one question nobody thinks to ask until after the data work starts:

What is lead enrichment, and when should a B2B sales team use it?

Lead enrichment is the process of adding missing information to existing lead records. Usually that means company revenue, employee count, industry, tech stack, or a person's work email and LinkedIn URL.

A B2B sales team should use it when incomplete records are blocking a specific action. For example, you want to send different sequences to companies with fewer than 50 employees versus companies with 5,000 employees, but your webinar import only has a company name and a first name. Enrichment closes that gap.

Not every list needs enrichment. If you are doing personalized outreach to 30 high-value accounts and a researcher can verify each one manually, enrichment is overkill. Use it when missing fields are slowing you down, not because it feels like the proper enterprise thing to do.

What does Okki Go data enrichment do?

Okki Go is a sales intelligence platform that combines prospecting, enrichment, intent data, verification, and AI SDR workflow. Okki Go data enrichment, the part I get asked about most, is the layer that fills gaps in your contacts and accounts before outreach happens.

From the outside, this looks like a CSV upload and export. The reality is more interesting. Okki Go uses a waterfall approach: rather than querying one database and accepting whatever it finds, it cycles through multiple sources until the best available record is built. That matters if you work with small companies, where one source might have revenue data but a dead email, and another source has a valid email but no firmographic details.

The word agent-native matters here, too. Enrichment is not a separate export step that you hand back to a human. It feeds the prospecting agent, and the agent can flag the next best action for a human to approve.

How do I handle an Okki Go setup without creating an emergency later?

Okki Go setup starts in the dashboard: you connect a data source, choose contacts or companies, select the fields you want enriched, and run a test. A clean CSV with 1,000 rows can usually go through quickly. Salesforce and HubSpot integrations take longer because field mapping and permissions always have edge cases.

The setup steps are simple. The discipline is not.

I've watched a lot of teams skip the 50-record test because the platform feels easy. That is a mistake. A 50-record test tells you three things: which fields are genuinely populated, which sources are winning the match, and whether your match keys are creating duplicates. If you skip the test, you will not know until you have 40,000 rows to sort out.

My default Okki Go setup sequence starts with the required fields only. You can add more fields later. Selecting every possible field increases the chance that weak sources fill important fields. Set clear match keys. For companies, domain is usually stronger than name alone. For people, email is strong; name plus company is a reasonable second option. Then run the 50-record test and actually open the sample records. Do not just look at match rate. Finally, schedule the full job in batches large enough to be useful but small enough to stop if something looks off.

What is an API rate limit, and why does it always hit late at night?

An API rate limit is the maximum number of requests your integration can make in a given period. In plain English, it is a data budget. I honestly don't know why the industry keeps calling it a rate limit, because budget explains the problem better. My best guess is that rate limit sounds more technical and measurable.

Here is the late night pattern. A team tests enrichment with 200 records. It works. Then they load the entire historical database at 5 p.m. and go home. The job runs through the evening and stops when it hits a limit around 9:30. By the time someone notices, the SDR team's morning queue is empty.

Okki Go API rate limit settings depend on your plan, so check the actual workspace dashboard rather than relying on sales conversations. Also check whether the limit applies to requests, records enriched, or successful matches. They are not the same. An unmatched record can still consume a request.

If you do one preventive thing after setup, check the reset schedule. Knowing that your limit resets tomorrow is not helpful if your job needs to finish tonight.

Do I need a sales intelligence platform if my CRM already has data?

Maybe. Your CRM tells you who your company already talks to. A sales intelligence platform tells you who your company should talk to next. They solve different problems.

If your outbound team keeps asking for accounts that are not in the CRM, or if you are trying to score and prioritize net-new accounts, a platform like Okki Go makes sense. If your growth depends entirely on relationships and inbound referrals, you can skip the extra cost and build on what you have.

The point is not to buy a sales intelligence platform because it sounds complete. Use it when your reps are doing manual research for more than a few hours per week.

Is Okki Go data enrichment the same as lead generation?

No. Lead generation finds people and companies you did not know about. Enrichment fills in the missing information on the records you already have.

Okki Go can support both flows, but mixing the two causes confusion. I remember one rollout where we said all leads enriched. Sales heard every field filled. When blank rows appeared, they assumed enrichment failed. Nothing had failed. We had not specified which fields mattered for which segment.

That is the communication trap. Define what good looks like before you run the tool. Is a good record an email with a valid domain? Is it an ICP score over 70? Is it a person with a LinkedIn URL? If you can write the definition down in one sentence, setup becomes easier.

What should I double-check before launch?

Email verification. Or, more precisely, a decision about what to do with addresses that are risky.

Okki Go data enrichment includes verification as part of the workflow. But a verified email is not a guaranteed email. Verified usually means the address exists and the domain is valid. It cannot guarantee inbox placement, because that also depends on your domain reputation, your content, and the recipient's provider. If a vendor ever promises 100 percent deliverability, treat that as a red flag.

The old thinking was load a list once, verify once, and call it done. That comes from an era when sender reputation took a long time to collapse. That has changed. Data should be checked as close to send time as possible, not six months before.

My last tip is a checklist, because checklists are the cheapest insurance I know. Before every enrichment job, ask: What is the volume? Which fields are non-negotiable? What is my API rate limit and reset time? Did I run a 50-record test? What will happen to records with risky email addresses?

Five minutes of verification beats five days of correction. That is the whole philosophy, and it applies just as much to an Okki Go setup as it does to any other data fix.