Apollo vs live search queries: similar hit rate, very different reliability
Enriching the wrong companies is the most expensive mistake in niche B2B outbound.
PreGTM serves as the quality filter before enrichment. It discovers candidate companies, crawls their websites, and keeps only confirmed fits.
We tested two discovery sources for the initial find: live Google search queries and Apollo's company database. We evaluated both on the same target profile.
The target profile: EU importers and wholesalers of commercial batteries above 2 kWh.
Test results summary
| Source | Attempted | Strong fit | Total fit (strong + possible) | Site failed to load |
|---|---|---|---|---|
| Search run 1 | 300 | 5.0% | 21.7% | 12.0% |
| Search run 2 | 300 | 4.7% | 19.0% | 15.7% |
| Apollo API | 300 | 4.7% | 15.3% | 25.3% |
Key findings
1. Similar fit rates across sources
Live search averaged a 20.3% total fit rate. Apollo produced a 15.3% total fit rate.
The 5.0-point difference is not statistically significant (p = 0.070). Both sources provided acceptable raw candidate accounts.
2. Dead domain rates diverge significantly
One in four domains from Apollo (25.3%) failed to load.
Search produced a significantly lower failure rate of 13.8% (p = 0.00004).
Search queries return pages indexed recently by search engines. Dead sites drop from rankings quickly. Database records persist even when a server goes offline.
3. Almost zero overlap between lists
Only 15 out of 300 companies appeared in both the Apollo list and the search list.
The two methods find different parts of the market. They act as complementary candidate finders.
Why database keywords struggle with specific trade roles
The target profile requires two facts simultaneously:
- The company sells battery storage systems.
- The company acts as an importer or wholesale distributor.
Apollo's API keyword field (q_organization_keyword_tags)
matches ANY tag in the list. It functions as an OR operator.
Adding wholesale to battery returns all
wholesalers in the country. It does not return battery wholesalers
specifically.
| Filter | Matching companies |
|---|---|
battery |
2,270 |
wholesale |
18,381 |
| Both tags (ANY operator) | 20,506 |
Live search queries support exact Boolean operators. A single search
query can require Batterie Großhandel Energiespeicher in
one line.
Cost and processing efficiency
Classification compute cost $3.30 for the Apollo batch and $7.30 for the search batch.
Apollo appeared cheaper per qualified account ($0.072 vs $0.114). However, this difference occurred because 25.3% of Apollo domains failed to load before classification.
Recommendations
- Use Apollo as the primary workstation: Apollo remains an excellent tool for contact waterfalls, sequencing, and CRM synchronization.
- Use live search for narrow specifications: Search queries excel at locating technical trade terms and multi-attribute roles.
- Qualify on the website before enrichment: Reading live site copy eliminates dead domains and verifies genuine business models.
We next tested Apollo's Boolean UI and AI assistant. Read the second article.
Test constraints
One campaign profile, one classifier, 300 companies per run. The test did not parse PDF datasheets.
Annex: Seed parameters
Apollo API filter (Germany)
organization_locations: Germany
q_organization_keyword_tags (ANY of):
batteries, battery, lithium-ion batteries, lithium batteries,
battery packs, industrial batteries, traction batteries,
energy storage systems, battery energy storage,
stationary energy storage, Batterien, Akkus, Akkumulatoren,
Batterietechnik, Energiespeicher, accu's, accumulatoren,
batterie, batterie industriali, baterias, baterías,
acumuladores, akumulatory, batterier, EV batteries
organization_num_employees_ranges:
1-10, 11-20, 21-50, 51-100, 101-200, 201-500, 501-1000, 1001-2000Live search query (Germany)
Batterie Großhandel Energiespeicher -ratgeber -test