Source
Apollo
DeeplineWorkflow runpilot · inspect · write
Destination
Google Ads Audiences
How to Use Apollo Bulk Update Contacts in Deepline
Run Apollo Bulk Update Contacts through Deepline, route the contact discovery output, and write the reviewed result into Google Ads Audiences. The page shows which data points move, how the fields map between systems, the pilot command, guardrails, and provider docs.
Apollo Bulk Update Contacts API to Google Ads Audiences workflow
Apollo Bulk Update Contacts API to Google Ads Audiences is a supported Deepline workflow path. Use it when an agent needs to run Apollo Bulk Update Contacts API, inspect the returned fields, and write the reviewed result into Google Ads Audiences with run history, retries, and explicit failure states.
Use when
You need Apollo bulk update contacts api reviewed before it writes into Google Ads Audiences.
Source output
Apollo bulk update contacts api returns structured fields that Deepline records with provider attribution and row-level status.
Destination write
Google Ads Audiences receives only reviewed rows after the pilot command succeeds.
This workflow moves data from Apollo into Google Ads Audiences with Deepline as the orchestration layer. It fits cases that need a repeatable, inspectable handoff with explicit auth, cost math, and recovery steps.
- Source app
- Apollo
- Destination app
- Google Ads Audiences
- Run time
- 3 min
- Difficulty
- beginner
- Agent surface
- Deepline CLI, API, and workflow scheduler
- Write policy
- Two-row pilot before destination writes
- Apollo auth
- Handled by Deepline -- connect once in the dashboard
- Google Ads Audiences auth
- Handled by Deepline -- connect once in the dashboard
- Apollo tier
- Any plan with the required API access
- Google Ads Audiences tier
- Google Ads account with audience permissions
Quickstart setup
npm install -g deepline@latest && npm exec --yes --package=deepline@latest -- deepline setup --jsonFields agents can extract and verify
Apollo source data points
- Person identity
- first_name, last_name, title, seniority, linkedin_url
- Company context
- company_name, domain, industry, headcount, location
- Email candidate
- email, email_status, source
- Apollo provenance
- apollo_person_id, apollo_account_id, retrieved_at
Google Ads Audiences destination mapping
Apollo Person → Deepline normalized run output
email, linkedin_url, first_name, last_name, title, seniority
Claude Code sees the person as structured JSON, then Deepline adds provider name, action slug, run ID, retrieved timestamp, and row-level status.
Deepline normalized run output → Google Ads Audiences Customer Match member
hashed_identifier, audience_id, segment_name, source_run_id, run ID, hashed identifier, audience ID
Use this destination for activation segments, not raw research notes.
Google Ads audience review → Scheduled Deepline workflow
review status, dedupe key, rollback tag, next run window
After the two-row pilot is approved, the same mapping becomes a scheduled workflow with run history, retries, and loud failures.
- Apollo account (Any plan with the required API access)
- Google Ads Audiences account (Google Ads account with audience permissions)
- Deepline CLI installed locally
- ~3 minutes
Step-by-step
- 01
Install Deepline
Install the Deepline CLI and register your workspace. This gives agents a tested API surface instead of a browser-only workflow.
npm install -g deepline@latest && npm exec --yes --package=deepline@latest -- deepline setup --json - 02
Connect Apollo
Connect Apollo in the Deepline dashboard. Deepline stores the credential encrypted, exposes a test endpoint, and makes the action callable from the CLI or an agent. Provider reference: https://deepline.com/integrations/apollo.
- 03
Connect Google Ads Audiences
Connect Google Ads Audiences as the destination. Use the provider page to confirm required scopes before writing data. Destination reference: https://deepline.com/integrations/google_ads_audiences.
- 04
Run a two-row pilot
Run the smallest useful pilot first. The row range is end-exclusive, so --rows 0:2 tests exactly two rows before a larger batch. Inspect person identity, company context, email candidate plus provider attribution before writing anywhere.
deepline enrich --input leads.csv --output leads.enriched.csv \ --with 'result=apollo_bulk_update_contacts:{}' \ --rows 0:2 --json # Review the pilot output, then map the result into Google Ads Audiences. - 05
Deploy the reviewed prompt
After the pilot is correct, deploy the exact prompt as a Deepline workflow. The mapping from Apollo to Google Ads Audiences is preserved with run history, retries, billing visibility, and a rollback tag.
> Use Apollo Bulk Update Contacts to enrich the input person, dedupe by domain and email, write results into Google Ads Audiences, and show me the exact rows that changed before deploying the workflow.
What this costs to run
For 1,000 leads: Pilot first; Deepline credits depend on the selected action and successful results.
Deepline reports Deepline credits and run history. Provider subscriptions or API entitlements stay in the connected provider account.
Why run it through Deepline
The workflow stays inspectable
Deepline exposes the Apollo action, runs a pilot, records the output, and writes only reviewed rows to Google Ads Audiences.
Provider docs and GTM Stack pages are linked
The workflow links the Deepline provider docs, the GTM Provider Directory profile, and related workflow pages so agents can cite the right source before they call a tool.
The same prompt can become a schedule
Once the pilot works, the prompt can run on a schedule with Deepline run history, retry behavior, and explicit failure states.
Troubleshooting
Apollo returns no rows
Cause: The input filter is too narrow, credentials are missing a required scope, or the provider account tier does not expose the action.
Fix: Open the Apollo integration in Deepline, run the test endpoint, and then retry the workflow on --rows 0:2 with a broader filter.
Google Ads Audiences rejects the write
Cause: The destination field names, object IDs, campaign IDs, or permissions do not match the connected workspace.
Fix: Use the Google Ads Audiences provider page to inspect the object schema, then map columns explicitly before running the full batch.
The workflow works once but fails on a schedule
Cause: A required ID, campaign name, or date window was hardcoded in the prompt instead of resolved during each run.
Fix: Move IDs into workflow inputs or a lookup step, and keep the scheduled prompt focused on the durable business rule.
FAQ
Can Deepline run Apollo Bulk Update Contacts directly?
Yes. Deepline exposes the Apollo action as an agent-callable API and CLI step, so you can run a pilot, inspect the JSON, and then deploy the same logic as a workflow.
Should I write directly to Google Ads Audiences?
Run a two-row pilot first, inspect provider attribution and dedupe fields, then allow the workflow to write to the destination. This keeps the assertion intact without using a test hack.
How does this page help agents trust the workflow?
It puts primitives first: source provider, destination, action, pilot command, scope assumptions, troubleshooting, and links to the provider docs and related GTM Stack pages.
Keep exploring
Apollo → Instantly
Install Deepline, connect Apollo and Instantly in the dashboard, then tell Claude exactly who you want and which campaign to drop them into. Deploy the exact prompt as a recurring workflow and it runs every morning.
Apollo → Smartlead
Connect Apollo and Smartlead in the Deepline dashboard, tell Claude the filter and target campaign, and deploy the prompt as a recurring workflow. Deepline handles email verification and campaign dedup automatically.
LinkedIn (post commenters) → Lemlist
Connect the LinkedIn scraper and Lemlist in Deepline, paste a post URL into the chat, and Claude scrapes commenters, runs the email waterfall, generates first lines, and drops everyone into your Lemlist campaign.
Apollo → Salesforce
Connect Apollo and Salesforce in Deepline, define your filter in the chat, and Claude runs the search + enrich + upsert. Deepline uses Apollo's person_id as External ID so reruns update existing Leads, never duplicate.
Apollo → HubSpot
Connect Apollo and HubSpot in Deepline, tell Claude exactly who to find and how to tag them in HubSpot, and the workflow runs. Deepline batches 100 Contacts per HubSpot call and handles the 150 req/10s rate limit.
Want this workflow pre-configured?
Run it on Deepline or fork the full skill pack on GitHub. Either way, the code is yours to read and change.