How to migrate from Apollo to Okki Go
Apollo is a strong SaaS database. Okki Go is an agent-native workflow. This guide shows how to move without losing data quality or sales momentum.
Why teams are switching
Apollo gave many teams their first repeatable outbound motion. The problem is that most of the workflow still lives outside the place where reps now work: their AI assistant. Teams moving to Okki Go usually want fewer tabs, lower seat cost, and a workflow where research, contact discovery, and outreach happen in one conversational surface.
The migration is less about replacing a database and more about replacing the operating model. Instead of “open Apollo, export CSV, move to sequencer,” you move to “ask the agent, refine, and send.”
Apollo vs Okki Go
Apollo is optimized for a browser-first SaaS workflow. Okki Go is optimized for an AI-native workflow inside Claude Code, Cursor, OpenClaw, and other assistants.
| Category | Apollo | Okki Go |
|---|---|---|
| Primary workflow | Dashboard + exports | Agent-native prompts and actions |
| Seat model | Per-seat SaaS pricing | API-key based workflow access |
| Outbound execution | Usually separate tools | Research + outreach in one loop |
Step 1 · Export your Apollo workflows
Start by exporting your ICP segments, saved searches, and any message templates that reps still rely on. You do not need to replicate every field. Keep the variables that actually change decisions: region, industry, company size, buying trigger, and persona.
# Keep only what affects qualification
accounts.csv
contacts.csv
saved-search-filters.json
message-templates.mdStep 2 · Rebuild search logic in prompts
In Okki Go, filters become reusable prompt patterns. Instead of navigating a saved-search UI, you describe the ICP once and let the agent run the search repeatedly with lighter friction.
Find German industrial automation manufacturers
100-1000 employees
prioritize companies hiring field sales reps
return decision-makers in revenue operations or sales opsStep 3 · Move outbound into your AI assistant
The biggest gain comes when research and messaging stop being separate steps. Once you have a qualified list, ask the agent to draft personalized openers, compare alternatives, and prep follow-up angles without leaving the session.
For each qualified company above:
1. summarize why they fit
2. draft a 90-word cold email
3. produce 2 follow-up angles
4. flag risky claims before sendingStep 4 · Validate with a pilot team
Do not migrate the whole org at once. Give one pod a constrained pilot: one market, one motion, one manager. Measure search-to-first-draft time, contact coverage, reply quality, and rep confidence.
weekly_metrics:
- time_to_build_target_list
- contacts_per_account
- draft_personalization_score
- replies_booked
- rep_feedbackMigration FAQ
Do we need to migrate all Apollo data?
No. Migrate the workflow, not every export. Keep only the filters, personas, and templates your team actually uses.
What if our reps still want CSVs?
That is fine during transition. Use CSVs as an escape hatch, but train reps to iterate inside the assistant first.
How long should the pilot last?
Usually one to two weeks is enough to compare list quality, outbound velocity, and operator preference.
Ready to validate on a live segment?
Pick one territory, one persona, and one outbound play. Run the workflow in Okki Go for five business days and compare speed-to-first-list, personalization quality, and meetings booked.
Install and test the workflowReady to migrate?
Start with one install, one API key, and one pilot team. If the workflow feels faster in week one, the rest of the rollout gets easier.
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