# Apollo vs Lusha : side-by-side breakdown for 2026 buyers

> **TL;DR** Comparing Apollo and Lusha on price (Free / $49/seat/mo vs $49.90/month), feature surface (sales intelligence vs b2b contact data), and team-size fit. Plus Derrick as the Sheet-native third option.

*Canonical: https://derrick-app.com/vs/apollo-vs-lusha-vs-derrick-app*

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## Why choose Derrick against Apollo or Lusha

### Built for teams whose pipeline runs in Sheets
If your B2B data ends up in Google Sheets anyway (most teams' do), running it through Apollo or Lusha first means two unnecessary hops : platform → CSV → Sheets. Derrick removes both hops. One add-on, one formula, results in the next column. The unit-of-work shrinks from "run the export" to "drag the formula down".

### Flat $10/month pricing — no credit walls
Apollo starts at Free / $49/seat/mo ; Lusha starts at $49.90/month. Both stack credits, seats, and feature unlocks per tier — your actual bill depends on usage you can't always predict upfront. Derrick is $10/month flat, unlimited rows enriched. That's the entire pricing page : one tier, one number, no overage exposure.

### Built for the 2026 AI stack : MCP-first enrichment
In 2026, AI agents need data tools they can call natively. Derrick speaks MCP out of the box — point Claude at your sheet, ask "enrich these 200 LinkedIn URLs with mobile numbers", done. Apollo and Lusha need either a custom integration or a Zapier middleman for the same workflow.

## Comparison : Apollo vs Lusha vs Derrick

|  | [Apollo](/tools/apollo-review) | Derrick App | [Lusha](/tools/lusha-review) |
| --- | --- | --- | --- |
| Entry price | Free / $49/seat/mo | $10/mo flat | $49.90/month |
| Free plan | Yes (Free forever) | 14-day full trial | 40 credits/month |
| Best for | SMB & mid-market outbound | Sheet-native enrichment | SDRs prospecting on LinkedIn |
| Category positioning | Sales Intelligence | Spreadsheet-native B2B data | B2B contact data |
| G2 rating | 4.7/5 | — | 4.3/5 |
| Founded | 2015 | 2022 | 2016 |
| Email accuracy / verification | Standard | Real-time, included | Standard |
| Phone-number coverage | Available via providers | Via integrated providers | Industry-leading mobile coverage |
| Credit / volume model | Free / $49/seat/mo | Unlimited rows in Sheets | 400 credits/month on Starter ($49.90) |
| Works natively in Google Sheets | ✕ | ✓ | ✕ |
| Per-row pricing (no credit caps) | ✕ | ✓ | ✕ |
| MCP-ready for AI / LLM agents | ✕ | ✓ | ✕ |

## Apollo vs Lusha vs Derrick App pricing in a nutshell

### Apollo pricing (SMB & mid-market outbound)
Apollo starts at Free / $49/seat/mo. Sales Intelligence, with positioning around smb & mid-market outbound. Full tier-by-tier breakdown including credit caps, seat economics, and hidden line items lives on the dedicated Apollo pricing page.
[Visit pricing](/tools/apollo-pricing)

### Derrick App
Results first. Complexity removed. Native Google Sheets workflow, 100+ data points, AI-powered scoring, €9/month entry plan, 100 free credits.
[Discover Derrick](https://derrick-app.com/)

### Lusha pricing (SDRs prospecting on LinkedIn)
Lusha starts at $49.90/month. B2B contact data, with positioning around sdrs prospecting on linkedin. Full tier-by-tier breakdown including credit caps, seat economics, and hidden line items lives on the dedicated Lusha pricing page.
[Visit pricing](/tools/lusha-pricing)

## Frequently Asked Questions

### Apollo vs Lusha: when does each fit best?
Apollo is positioned as sales intelligence for smb & mid-market outbound. Lusha is positioned as b2b contact data for sdrs prospecting on linkedin. Both compete in the B2B contact data category, so the choice comes down to which best-for profile your team matches most closely. G2 reviewers rate Apollo at 4.7/5 and Lusha at 4.3/5 — both products work, the deciding factor is workflow fit, not product quality.

### How do Apollo and Lusha pricing actually compare in 2026?
Apollo entry-paid tier : Basic at $49/seat/mo. Next tier up is Professional ($79/seat/mo). Apollo's free tier : Yes (Free forever). Lusha entry-paid tier : Starter at $49.90/month. Next tier up is Premium ($399.90/month). Lusha's free tier : 40 credits/month. For comparison : Derrick App skips the credit + seat model entirely with $10/month for unlimited enrichment, billed directly in the Sheet.

### What's the biggest reason to pick Apollo over Lusha?
Massive 250M+ contact database. Apollo's contact graph is one of the deepest in the category, especially for US-based prospects. Buying-intent signals layered on top help SDRs prioritize accounts already researching solutions. (Source : Verified G2 user, RevOps, G2 review (Q1 2026).) If this single capability maps to a real pain in your sales motion, Apollo is the right pick over Lusha.

### What's the biggest reason to pick Lusha over Apollo?
Best-in-class direct phone numbers. Lusha's mobile-number coverage is its single biggest moat. SDRs consistently report 60–70% dial-success rates on US/UK numbers — markedly better than Apollo or ZoomInfo for inbound mobile. (Source : Marcus L., SDR Manager, G2 review (Feb 2026).) If this is the differentiator that matters most for your stack, Lusha is the right pick over Apollo.

### Can Derrick replace both Apollo and Lusha?
Both Apollo and Lusha compete in the B2B contact data category. Derrick is data-and-Sheets-native — it doesn't replace a full B2B contact data platform feature-for-feature, but it eliminates the data + spreadsheet layer that teams typically use alongside Apollo or Lusha. For teams whose primary need is enrichment + list-building in Sheets, Derrick at $10/mo replaces 60-80% of typical B2B contact data stack workflows. For teams running heavy B2B contact data feature surface (sequencer, dialer, AI agents), Derrick complements rather than replaces.

### Beyond Apollo and Lusha, what other tools should I evaluate?
Four other tools in the same competitive set worth evaluating : Kaspr, Cognism, Findymail, Wiza. Each has its own positioning trade-off versus Apollo and Lusha — Kaspr typically appears as a direct competitor on G2 review pages, with Cognism, Findymail, Wiza as adjacent picks for different team sizes or use cases. Read the dedicated reviews to weigh feature surface, pricing model, and geographic depth against your real sales motion.