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Connecting to Data · Legacy self-service product

Apollo.io

Connect Apollo for sales intelligence and prospecting analytics

You're viewing documentation for the legacy Scoop self-service product. For the current product, see What Is Scoop.

Overview

Apollo.io is a sales intelligence and engagement platform that provides B2B contact data, email sequences, and prospecting tools. Connect Apollo to Scoop via our native API connector to analyze prospect quality, sequence performance, and blend engagement data with your CRM.

AI-Assisted Setup

When connecting Apollo to Scoop, choose "Guide me with AI" for an intelligent, guided setup experience.

Available Analysis Templates

Template Object Best For What You'll Analyze
Sales Pipeline (Default) opportunities Deal tracking Deal amount, stage, owner, close date
Contacts contacts Contact database Contact info, titles, account associations
Accounts accounts Company analysis Company info, domain, industry, size
Email Sequences emailer_campaigns Outreach performance Sequence status, steps, engagement

Example Questions You Can Answer

Sales Pipeline:

  • "What's our current pipeline value by stage?"
  • "Which opportunities are expected to close this quarter?"
  • "What's our average deal cycle time?"
  • "How does win rate vary by deal source?"
  • "What's our pipeline coverage ratio?"

Contacts & Accounts:

  • "How many contacts do we have by industry?"
  • "What's the breakdown of accounts by employee count?"
  • "Which accounts have the most associated contacts?"
  • "What percentage of contacts have verified emails?"
  • "How many new accounts were added this month?"

Outreach:

  • "Which email sequences have the best engagement?"
  • "How many contacts are active in sequences?"
  • "What's the status distribution of our campaigns?"
  • "What's our average reply rate by sequence?"
  • "Which sequence steps have the highest drop-off?"

Need Something Different?

If the templates above don't match your needs, select "Something else" and describe what you want to analyze. For example:

  • "I want to analyze contacts by a custom field"
  • "I need to track sequence performance over time"
  • "I want to focus on a specific industry segment"

Scoop's AI will recommend the right configuration for your specific use case.

What You Can Analyze

Data Type Example Questions
Contacts "How many new contacts were enriched this month?"
Sequences "Which email sequences have the highest reply rates?"
Prospecting "What industries have the best response rates?"
Data Quality "What percentage of contacts have verified emails?"
Pipeline "How many Apollo contacts converted to opportunities?"

Connecting Apollo to Scoop

Step 1: Create an API Key in Apollo

  1. Log into Apollo.io
  2. Navigate to Settings → Integrations
  3. Select API
  4. Click API Keys
  5. Create a new API key and copy it

Step 2: Connect in Scoop

  1. In Scoop, go to Sources → Add Data Source
  2. Select Apollo from the connector list
  1. Complete OAuth authentication
  2. Select the data objects you want to import

Available Data Objects

Object Description Key Fields
Contacts People in your database Name, email, title, company, phone
Accounts Companies you're targeting Company name, industry, size, revenue
Sequences Email cadences Sequence name, steps, status
Sequence Stats Performance metrics Opens, clicks, replies, bounces
Tasks Follow-up activities Task type, due date, status
Email Activities Individual email engagement Sent, opened, clicked, replied

Key Metrics to Track

Contact Enrichment

  • Total contacts in database
  • Contacts with verified emails
  • Enrichment success rate
  • Net new contacts added

Sequence Performance

  • Emails sent per sequence
  • Open rate and click rate
  • Reply rate by sequence
  • Bounce rate and opt-outs

Prospecting Effectiveness

  • Contacts by industry/company size
  • Engagement by persona
  • Time-to-first-reply

Blending with Other Data

Source Analysis Enabled
Salesforce/CRM Contact-to-opportunity conversion
Outreach/Salesloft Compare Apollo sequences to other tools
Marketing Automation Lead source attribution
Revenue Data Cost per qualified lead

Example: Prospecting ROI

Ask Scoop:
"Show conversion rate from Apollo contact
to closed deal by industry"

Best Practices

Sync Frequency

  • Daily syncs for active prospecting
  • Weekly for general tracking
  • Real-time not typically needed (engagement has delay)

Data Hygiene

Track data quality metrics:

  • Email verification status
  • Phone number completeness
  • Company data enrichment rate

Segment Analysis

Use Apollo's firmographic data:

  • Industry performance
  • Company size tiers
  • Geographic regions
  • Title/seniority levels

Common Use Cases

Sequence Optimization

Find best-performing outreach:

"Which sequences have the highest reply rate for VP+ titles?"

Territory Analysis

Understand market coverage:

"Show contact count by industry and company size tier"

Data Quality Audit

Monitor database health:

"What percentage of contacts have invalid or bounced emails?"

Pipeline Attribution

Connect prospecting to revenue:

"Track Apollo contacts through to closed-won by sequence"

Activity Tracking

Monitor team output:

"Emails sent per rep from Apollo sequences this week"

Apollo vs. Other Sales Tools

Feature Apollo ZoomInfo LinkedIn Sales Nav
Contact Data ✅ ✅ Limited
Email Sequences ✅ ❌ ❌
Direct Integration API API Export
Pricing Per credit Enterprise Per seat

Troubleshooting

API Connection Fails

  • Verify API key is active and has correct permissions
  • Check API rate limits haven't been exceeded
  • Ensure your Apollo plan includes API access

Missing Contacts

  • Check sync filters aren't excluding contacts
  • Verify you have access to all lists/saved searches
  • API may have pagination limits

Sequence Data Not Updating

  • Apollo reports sequence stats with some delay
  • Check that sequences are active, not paused
  • Verify the date range includes expected activity

Updated October 19, 2026