Build the list a database cannot query for
Agencies that name your competitor as a partner on their own site, read page by page, back as rows with the qualifying sentence quoted and the CRM entries staged.
Strawberry publishes this guide and builds that stage in it, the stage no database can sell you. A list defined by evidence comes back as rows with the qualifying sentence quoted and the CRM entries staged for your click, built by a companion reading the actual web in your own session.
The other four stages are four different products: names at volume, enrichment, verification and sending. Stage by stage, as of this writing.
| Stage | What each tool is built for (as of this writing) | Strawberry's role |
|---|---|---|
| Names at volume | Apollo and Sales Navigator are filter-driven databases | Native integration; a companion runs the filter query through Apollo |
| Enrichment waterfalls | Clay runs provider cascades at scale | Per-list enrichment in your own session, row by row as you need it |
| Email verification | Hunter and Snov verify addresses | Native integrations, plus a built-in verifier a companion calls directly |
| Sending | Instantly and Smartlead own deliverability | Native integrations; sequences drafted and staged for your click |
| Lists defined by evidence | Nothing in the stack can query for it | A companion reads the web in your session and writes the qualifying rows |
| Getting it all into the CRM | Left to whoever remembers | Salesforce, Attio, Close and Twenty native; writes wait on approval |
What is each stage of lead generation built on?
The stack, stage by stage:
- Apollo and LinkedIn Sales Navigator are built for names at volume: an ICP maps to filters and a database returns thousands of records in seconds. Apollo is a native integration, so a companion runs that query through it.
- Clay is built for waterfall logic across providers at scale. For lighter, per-list enrichment a companion does it in-session: enrich contact data automatically.
- Hunter and Snov are built for finding and verifying email addresses, and both are native integrations.
- Instantly and Smartlead are built around deliverability and sequence mechanics, and both are native, so the sequence is drafted and staged for your click.
- Strawberry is built for the lists a database cannot hold and the logging nobody does. Conference exhibitor pages, niche directories, local-market sites, companies that mention something specific on their careers page: a companion builds the list from the actual web and writes it into your CRM.
What kind of list needs an agent rather than a database?
"SaaS companies, 50 to 200 employees" is a database query. "Agencies that list a specific competitor as a partner on their site" is a reading task. A companion opens the directory or the search results in your session, reads each candidate against your definition, extracts the fields you asked for, and writes rows. The workflow is at build lead lists automatically, worked end to end at can AI build a lead list.
Qualification is the second one: inbound leads researched and scored before a rep touches them, as in qualify inbound leads automatically.
What the combined stack looks like
A database for volume, native email tools for verification, a sender for sequences, and a companion for the lists databases cannot see plus the logging nobody does. The point of the native integrations is that a companion does not re-derive what Apollo already sells: it runs that query through Apollo and spends its own passes on the segment Apollo has never held.
The next stages are at how to automate lead enrichment with AI and qualify inbound leads automatically.
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Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents