End-to-end workflow · Updated 2026

Apollo → LinkedIn Enrichment Workflow

Apollo's database has ~40% staleness. This workflow uses live LinkedIn data to refresh Apollo contacts, drop bounce rates below 10%, and surface job changes automatically.

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Apollo export → Scrupp cross-enrich → Refresh filter → CRM update

Quick answer

Apollo → LinkedIn Enrichment Workflow

The Apollo → LinkedIn enrichment workflow fixes Apollo's staleness problem. Export your Apollo list as CSV, upload to Scrupp, and Scrupp cross-references each row against live LinkedIn profiles — refreshing job titles, companies, and emails. Rows where the person has changed jobs get flagged; their new company and new email replace the stale Apollo data. Typical result: bounce rate drops from 30-40% to under 10%, and 15-20% of rows get routed to a "moved on" list for re-enrichment in the new company context.

The workflow

Full end-to-end walkthrough

6 steps · est. 1-2 hours for a 5,000-row refresh (mostly waiting for Scrupp to process)

1

Export the Apollo list
Apollo

In Apollo, filter to your active segment. Export as CSV. Include LinkedIn URL column (critical for matching).
2

Upload to Scrupp bulk enrichment
Scrupp

In Scrupp, click "Bulk enrichment". Upload the Apollo CSV. Scrupp auto-detects LinkedIn URL and name columns.
3

Enable live LinkedIn refresh
Scrupp

Toggle "Refresh against live LinkedIn". Scrupp re-scrapes each LinkedIn profile, pulls current title + company, and flags mismatches with Apollo data.
4

Re-verify emails via waterfall
Scrupp

For each row, Scrupp runs the multi-provider email waterfall + SMTP verification. If the person moved jobs, the old email is flagged stale and the new email is generated.
5

Review and segment the output
Google Sheets

Output has a "status" column: unchanged (~60%), updated (~25%, new title/company/email), not found (~15%). Route each segment differently in your CRM.
6

Push back to HubSpot/Salesforce
HubSpot/Salesforce

For "unchanged" rows: just re-sync. For "updated" rows: update existing contact. For "moved on" rows: create a new record at the new company + mark the old record inactive.

Tool stack

What's in the stack

All the tools involved in this workflow.

Apollo

Source of original contact list. Keep for database breadth.

Scrupp

Live LinkedIn cross-enrichment + email re-verification. Pay-as-you-go.

Google Sheets

Intermediate for segmenting the refreshed output.

HubSpot / Salesforce

Destination CRM.

Total cost: $50-100 for a 5,000-row cross-enrichment pass. Re-runs monthly are the best ROI.

FAQ

Common questions

Why is Apollo's data so stale?

Apollo maintains a static database updated on their cycle. LinkedIn is updated in real-time by users. For people-level data (jobs, titles), LinkedIn will always be fresher.

How often should I re-run this refresh?

Monthly is the sweet spot. 15-20% of B2B roles change per year — monthly refreshes catch most of the churn early. Quarterly is minimum.

Does this replace Apollo entirely?

Not for discovery and sequencing — those are Apollo strengths. For data quality, this refresh workflow supplements Apollo with LinkedIn freshness.

What's the bounce rate improvement?

Typical: 30-40% Apollo bounces drop to under 10% after Scrupp cross-enrichment. Some specific segments (old SaaS) see 50%+ → 5% improvement.

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Free Chrome extension · 1 credit/lead scraping + 1 credit/enrichment · No credit card.

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