# Apollo.io - Research Comparison

How does Apollo.io compare to Common Room?

- Website: https://apollo.io
- Updated: 2026-10-28
- Status: watch
- Web version: https://www.commonroom.io/compare/apollo-io/ai/

## Summary

AI-powered Go-to-Market system combining 270M+ B2B contacts with sales engagement tools. Prospect, run automated email sequences, and manage deals in one unified SaaS platform.

## Company info

- **Funding:** $251.3M (Series D)
- **Founded:** 2015
- **Team:** 1000

## Critical Notes

- Combines massive B2B data provider with full-stack sales engagement at disruptive price
- Generous free tier and low-cost plans dominate startups/SMBs, undercutting ZoomInfo
- Uneven data accuracy; high bounce rates on emails marked verified
- LinkedIn changes forced automated LinkedIn outreach steps to become manual tasks
- $1.6B unicorn valuation in 2023; hyper-growth continues

## Key Features

- B2B contact and company database with 270M+ records
- Automated email sequencing and outreach campaigns
- Built-in dialer and call tracking
- Apollo Chrome extension for LinkedIn and website prospecting
- AI Context Center for drafting emails and building lists
- Waterfall data enrichment to keep CRM records updated
- Buying intent data and signals
- CRM integrations with Salesforce, HubSpot, and others

## Details

Founded 2015 by Tim Zheng and Ray Li; began as B2B contact database, expanded into full sales engagement platform. Series D $100M (Aug 2023, Bain Capital Ventures), $1.6B valuation; $251.3M raised over six rounds. ~$265M ARR, ~9M monthly visits, ~105K LinkedIn followers. Product-led: freemium, no credit card, 10K contact searches/month free, credit-pack upsells, 600K+ companies. Sales-led overlay: Apollo for Enterprise with governance, admin controls, seat minimums, premium support, SOC 2 Type II, ISO 27001, GDPR. Proprietary closed-source. Strong on price and free tier; weaker on data accuracy and signal breadth.

## Signals compared to Common Room

### 1st Party

- Included: Bi-directional CRM sync (Salesforce, HubSpot, Pipedrive) even on free tier; Gmail/M365 email and calendar activity logging; CRM enrichment on record create/update
- Missing: No product usage or data warehouse ingestion; no marketing automation, CS, chat/support, or paid ads sources; website visitor de-anonymization limited/unverified

### 2nd Party

- Included: LinkedIn Chrome extension for one-click prospecting, bulk import, and enrichment from profiles and search pages
- Missing: LinkedIn-only, and automated steps now manual; no open source, community, review site, event, or commerce coverage

### 3rd Party

- Included: Bombora topic-level intent, technographics, company news, job change alerts, Crunchbase funding data layered onto contact database for sequence activation
- Missing: Single intent provider; no job listings/hiring trends; no LinkedIn company-page listening; technographic depth undocumented

### Custom

- Included: REST API, webhooks (incl. async enrichment results), Zapier, Make, bulk CSV import/export
- Missing: None; no native Google Sheets connector mentioned

1st Party: CRM (Salesforce, HubSpot, Pipedrive) bi-directional sync on free tier, Gmail/M365 activity logging, no warehouse or product usage. 2nd Party: LinkedIn Chrome extension only, degrading as automation becomes manual. 3rd Party: Bombora topic intent, technographics, news, job changes, Crunchbase; single intent vendor. Custom: REST API, webhooks, Zapier, Make, CSV.

## Identity compared to Common Room

### Enrichment

- Included: Firmographics, technographics, contact details, Bombora, Crunchbase appended; 70-90% CRM match rates; email accuracy ~84-91%; sequence/CRM enrichment triggers
- Missing: Waterfall claim contested, appears single-database; direct-dial accuracy ~60%; high bounce reports on verified emails; quarterly refresh; no multi-provider cascade

### AI Powered

- Included: NLP title/field normalization on ingestion; probabilistic email-pattern prediction; ML lead scoring against ICP; AI call summaries downstream
- Missing: AI improves matching to own database only; no cross-source identity resolution; no signal-triggered auto-enrichment; scoring partly black box

### Identity

- Included: Fuzzy matching of CSV/CRM records against 275M contacts and 73M companies using email, domain, name, LinkedIn URL
- Missing: Database lookup, not identity resolution; no cross-source merging; relies on CRM dedupe rules and can create duplicates; no merge review flow; quarterly profile updates

Identity: fuzzy matching against 275M contacts/73M companies via email, domain, name, LinkedIn URL; relies on CRM dedupe; resolves to work profile only. Enrichment: firmographics, technographics, contacts, intent, funding; 70-90% match; email accuracy 84-91%; direct dials ~60%; quarterly refresh; single-database waterfall limits. AI: NLP normalization, probabilistic email prediction, ML ICP scoring, AI writing and call summaries.

## Automation compared to Common Room

### Combine

- Included: Stack Bombora intent, first-party engagement (web visits, opens), and 65+ database filters into segments and workflow conditions
- Missing: Capped by missing inputs; no product usage, community, open source, CS, or review signal combinations

### Score

- Included: AI-assisted lead scoring with customizable weights blending firmographics, behavior, and intent; ICP-match highlighting
- Missing: Inputs limited to Apollo data model; no product usage, community, support, or warehouse fields; no documented account-level impact points

### AI Message

- Included: AI Writing Assistant drafts personalized emails from company, role, and lead context; templates, snippets, AI sequence generator
- Missing: Unsure; personalization bounded by Apollo data without community/product context

### AI Research

- Included: AI Power-Ups run custom research prompts across filtered account lists, returning structured summaries or custom scores usable as filters/triggers
- Missing: Limited to public signals and Apollo database; no first-party, community, or product context; credit cost unsure

Workbench: Cockpit/Control Center with Task Manager. Workflow: Plays with trigger-condition-action, narrow trigger set. Alerts: Slack/internal on web behavior. Combine: intent + engagement + 65 filters. Score: AI lead scoring with custom weights. AI Message: Writing Assistant, strong. AI Research: Power-Ups custom prompts across account lists.

## Support compared to Common Room

### Systems

- Included: Zendesk-hosted knowledge base (knowledge.apollo.io), support@apollo.io, in-app ticketing, premium support and account management for Enterprise
- Missing: Free/low tiers self-serve only; human support gated to Enterprise

### Content

- Included: Large knowledge base, API docs, Apollo Academy (courses, certifications), YouTube tutorials, third-party tutorials, in-app templates/snippets
- Missing: Unsure; baseline unspecified

### Community

- Included: 6,000+ member Slack community; 8+ free events/month (email teardowns, cold-call webinars, social selling challenges, IRL meetups); LinkedIn takeovers; unofficial ecosystem (Reddit, trainers, agencies)
- Missing: Sales-tactics community, not ingested as product signal; unsure vs. baseline

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