Dievio
Key points
- Choose by the step you need to replace.
- Compare discovery and retrieval separately.
- Measure accepted records on a fixed company list.
Choose an Apollo alternative by the step you need to replace. If you already have a sequence tool, compare the path from target companies to reviewed contacts. If you start with known people, compare enrichment inputs and missing fields. If your team still needs sequencing, include it in the migration scope and budget.
Compare four paths from input to output
| Product | Good starting input | What to test first |
|---|---|---|
| Apollo | Role and company filters or identifiers for people you already know | Search for candidates, then use People Enrichment to retrieve the fields you need. Measure the enrichment operation and record which options were enabled. |
| Dievio | Company domains and titles, or a list of public LinkedIn profile URLs | Use Preview to count a filtered audience. Compare the retrieved fields separately using Search or LinkedIn Lookup. |
| RocketReach | A known person or filters for discovering candidates | Test candidate search separately from person lookup. Compare one known profile before moving a spreadsheet of URLs. |
| Seamless.AI | A set of target accounts and roles for an in-app research workflow | Test Contacts Search, the Find action and the exported columns from My Contacts. |
The comparison uses documented workflows. The sources are Apollo People Search, Apollo People Enrichment, Dievio Search, RocketReach’s Python SDK and Seamless.AI’s quick start.
Keep candidate discovery separate from contact retrieval
Apollo documents zero-credit People API Search for eligible accounts. It returns candidate information without email or phone values. People Enrichment uses different rules and can charge for returned data. Waterfall and phone options can change the cost and response timing. In Dievio, free Preview returns a count. Retrieving records through Public Search uses API credits. An audience count, a candidate row and a contact with a usable work email are three different outputs. Apollo Search contract · Apollo enrichment contract · Dievio API overview.
For saved Apollo records or an independent search, compare Apollo CSV export, the Apollo API and Apify lead search.
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Compare a small, fixed segment
- Choose a dozen companies and the roles you would actually contact. Freeze the domain list, title policy, country of the contact and size bands before changing providers.
- Decide which fields a row needs to pass. For a work-email campaign, keep current company, accepted title, public profile URL and populated work email. Leave phone off unless it is required.
- Export a small set of unique people from each source. Record the number of candidates, credits used and rows that pass. Use the same review rules for every file.
- Divide the actual cost by accepted rows only when you can price the credit consumption consistently. A run with zero accepted rows has no useful cost-per-row figure. Record it separately.
A published feature tells you whether a workflow exists. Coverage, freshness and cost per accepted row depend on the segment and the plan used for the test.
Decide what moves with your data
Keep CRM IDs, suppression rules and field mappings when switching sources. If Apollo also owns your sequences, export or rebuild those workflows separately using the tools your team has approved. For an Apollo-specific comparison, see Dievio and Apollo. For the narrower workflows, compare RocketReach and Dievio for person lookup and Seamless.AI and Dievio for account lists and CSV.
