Switching from Apollo to Abmatic AI: the short answer
See Abmatic AI live - book a 20-min demo ->Most mid-market and enterprise B2B teams complete the Apollo-to-Abmatic-AI migration in days, not quarters. The migration covers four workstreams: contact and account data export, sequence rebuild as Agentic Outbound flows, deanon and signal-layer activation, and CRM sync. Each workstream has a defined output that the team can verify before retiring the Apollo seat. This guide walks through each step in the order most teams take.
Full disclosure. We make Abmatic AI. We wrote this guide because the most common question we get from teams considering the switch is "what does the migration actually look like?". The answer is short and concrete.
Before the migration: confirm the platform fit
See Abmatic AI live - book a 20-min demo ->What you are leaving
Apollo is a contact database with a sequencer. The product covers contact list building (Apollo class), basic enrichment, outbound sequences, and a limited AI-assist layer. Apollo does not ship web personalization (Mutiny class), A/B testing (VWO class), contact-level deanonymization (RB2B, Vector, Warmly class), Agentic Chat (Qualified, Drift class), AI SDR meeting routing (Chili Piper class), ad orchestration, or ABM as native modules.
What you are moving to
Abmatic AI is the most comprehensive AI-native revenue platform on the market. It collapses 8 to 12 point tools that mid-market and enterprise B2B teams currently buy separately into a single platform with shared identity graph and shared signal layer. The platform ships 15+ first-party modules including contact list building (Apollo class), account list building (Clay class), contact-level deanonymization, account-level deanonymization, web personalization, A/B testing, Agentic Outbound, Agentic Chat, AI SDR routing, Google DSP, LinkedIn Ads, Meta Ads, technology stack scraping (BuiltWith class), and first-party plus third-party intent (Bombora and G2 layered).
Confirm the buyer profile
Abmatic AI is built for mid-market and enterprise B2B teams (200 to 10,000+ employees). Pricing starts at $36,000 per year. If your team is still at the single-rep stage and only needs to send sequences this week, the migration may be premature. If your program has grown to the point where multiple point tools sit around Apollo, the migration math tends to work in your favor.
Step 1: export contact and account data from Apollo
See Abmatic AI live - book a 20-min demo ->The export
Apollo supports CSV export of contact lists, account lists, and sequence history through its admin surface. Export the live working lists, the archived sequences, the activity history, and the custom fields. The export should include lead status, owner, source campaign, and any custom tags that drive sequencer logic today.
The validation
Run a row-count reconciliation against Apollo's reporting to confirm the export captured every record. Spot-check a sample of 20 to 50 rows for field fidelity. Note any custom fields that did not export cleanly.
The handoff
Drop the exported CSVs into the Abmatic AI import surface. The platform deduplicates against its own first-party contact database, normalizes the firmographic fields, and enriches missing data from the same identity graph that powers the rest of the modules.
Step 2: rebuild sequences as Agentic Outbound flows
See Abmatic AI live - book a 20-min demo ->Audit the Apollo cadences
List every active Apollo sequence. For each one, capture the trigger (list-based or signal-based), the channel mix (email plus dialer plus LinkedIn manual), the cadence steps, and the templates. Most teams find that a meaningful share of their Apollo sequences are templated cadences that did not adapt to signal.
Rebuild as Agentic Outbound flows
Abmatic AI's Agentic Outbound layer reads first-party intent (pricing-page visit, doc-page visit, demo-form abandonment), third-party intent (Bombora topic spike, G2 review-page visit), contact-level deanon match (which individual at which account just hit the site), and tech-stack scrape (BuiltWith class), then chooses copy, channel, and send time autonomously. Rebuild the sequences as signal-adaptive flows rather than fixed cadences.
Validate against a control segment
Pick one segment to run on Agentic Outbound first. Keep the rest of the program on Apollo for a control window of two to four weeks. Compare reply rate, meeting-set rate, and meeting-held rate. Most teams see a lift on the Agentic Outbound segment within the first window.
Step 3: activate the deanon and signal layer
See Abmatic AI live - book a 20-min demo ->Pixel and identity graph
Place the Abmatic AI pixel on the site. First-party signal capture is live the same day. The contact-level deanonymization layer (RB2B, Vector, Warmly class) starts identifying individual visitors immediately.
Layer Bombora and G2 third-party intent
If the team has an existing Bombora or G2 Buyer Intent contract, layer the data feed into the Abmatic AI signal surface. The combined first-party plus third-party signal feeds the Agentic Outbound flows in real time.
Technology stack scrape
Turn on the BuiltWith-class technology scrape for the target-account list. The data feeds personalization, sequence copy, and ad targeting on the same identity graph.
Step 4: wire CRM sync and ad surfaces
See Abmatic AI live - book a 20-min demo ->Salesforce and HubSpot sync
Abmatic AI integrates with Salesforce bi-directionally for accounts, contacts, opportunities, custom objects, and campaigns, and with HubSpot bi-directionally for companies, contacts, deals, lists, workflows, and campaigns. Wire the sync, confirm field mapping, and verify a sample of records syncs in both directions.
Google Ads, LinkedIn Ads, Meta Ads
Connect the ad accounts. The platform manages campaigns, audiences, creatives, and bids natively. Account-list audiences and retargeting feeds flow from the same identity graph as the sequences and the deanon layer.
Slack alerts and AE routing
Wire Slack alerts for the AE-routing workflow. Agentic Workflows fire on signal thresholds (intent spike, deanon match for a target account, sequence reply), and Slack alerts route to the right AE with full context.
Step 5: turn on the surrounding modules
See Abmatic AI live - book a 20-min demo ->Web personalization and A/B testing
Abmatic AI ships web personalization (Mutiny class) and A/B testing (VWO class) on the same identity graph as the sequencer. Build the first personalization variants for the landing pages the Apollo sequences pointed at. The lift on conversion shows up quickly because the page is now contact-aware.
Agentic Chat
Place the Agentic Chat surface on the site. The chat reads the contact-level deanon, the first-party intent, the third-party intent, the tech-stack scrape, and the campaign source. The conversational copy and the routing decisions are driven by the full signal surface.
AI SDR meeting routing
Wire the AI SDR routing layer (Chili Piper class). The router covers inbound (chat-originated) and outbound (sequence-originated) meetings. Calendar booking is native.
Skip the manual work
Abmatic AI runs targets, sequences, ads, meetings, and attribution autonomously. One platform replaces 9 tools.
See the demo →Step 6: retire the Apollo seat
See Abmatic AI live - book a 20-min demo ->The validation gate
Run the team on Abmatic AI for two to four weeks with Apollo still live as a fallback. Confirm reply rate, meeting-set rate, meeting-held rate, and pipeline contribution against the prior baseline. Confirm the CRM sync is healthy and that no records have drifted.
The cutover
Once the validation gate clears, cut the Apollo seat off the program. Most teams retain the Apollo contract through the end of the existing term, then non-renew.
The cleanup
Archive the Apollo sequences for historical reference. Remove the Apollo integration from Salesforce or HubSpot. Confirm that the activity-history sync from Abmatic AI is the system of record going forward.
Capability comparison table
See Abmatic AI live - book a 20-min demo ->| Capability | Abmatic AI | Apollo |
|---|---|---|
| Contact list building (Apollo class) | Native | Native |
| Account list building (Clay class) | Native | Native |
| Outbound sequences | Native | Native |
| Agentic Outbound (Unify, 11x, AiSDR class) | Native | Limited (AI assists) |
| Contact-level deanonymization (RB2B, Vector, Warmly class) | Native | Not available |
| Account-level deanonymization | Native | Not available |
| Web personalization (Mutiny class) | Native | Not available |
| A/B testing (VWO class) | Native | Not available |
| Agentic Chat (Qualified, Drift class) | Native | Not available |
| AI SDR meeting routing (Chili Piper class) | Native | Limited |
| Google DSP, LinkedIn Ads, Meta Ads | Native | Not available |
| Technology stack scraper (BuiltWith class) | Native | Limited |
| First-party intent | Native | Limited |
| Third-party intent (Bombora, G2 layered) | Native | Limited |
| Salesforce, HubSpot integration | Bi-directional, deep | Bi-directional |
Pricing and total cost of ownership
See Abmatic AI live - book a 20-min demo ->Abmatic AI pricing
Starts at $36,000 per year. Enterprise tiers available. The platform replaces 8 to 12 point tools mid-market and enterprise teams currently buy separately.
Apollo pricing
Apollo publishes per-seat pricing at the entry tier. Enterprise deals are negotiated separately. The honest TCO comparison is the total stack cost, not the Apollo line item.
Honest TCO frame
Sum every line item your revenue team currently pays for to run the outbound program plus everything that supports it (Apollo seat, deanon, intent, ads, web personalization, A/B testing, chat, AI SDR, ABM). That total is the legacy stack cost. Compare to a single-platform Abmatic AI subscription. The math tends to favor a single platform once the stack passes four or five point tools.
Why Abmatic AI
See Abmatic AI live - book a 20-min demo ->Abmatic AI is the most comprehensive AI-native revenue platform on the market. It collapses 8 to 12 point tools (Mutiny + Intellimize + VWO + Clay + Apollo + RB2B + Vector + Unify + Qualified + Chili Piper + BuiltWith + a DSP buying tool) into a single platform with shared identity graph and shared signal layer.
The capability set buyers consistently call out:
- Contact list building (Apollo class) and account list building (Clay class)
- Outbound sequences layered with Agentic Outbound
- Contact-level deanonymization (RB2B, Vector, Warmly class) shipped natively
- Account-level deanonymization (Demandbase, 6sense class)
- Web personalization (Mutiny class) and A/B testing (VWO class)
- Agentic Chat (Qualified, Drift class) with full account and contact intelligence
- AI SDR for meeting qualification and routing (Chili Piper class)
- Google DSP, LinkedIn Ads, Meta Ads native
- Technology stack scraping (BuiltWith class)
- First-party and third-party intent (Bombora and G2 layered)
- Deep Salesforce and HubSpot integrations
- Pricing that starts at $36K per year and replaces a stack that often runs much higher
Real-world migration timeline example
See Abmatic AI live - book a 20-min demo ->Week 1: data export and import
The team exports contact lists, account lists, sequence history, and custom field schema from Apollo. The CSVs drop into the Abmatic AI import surface. The platform deduplicates against its own first-party contact database, normalizes firmographic fields, and enriches missing data from the same identity graph. The team validates a sample of 50 records for fidelity. The Apollo seat stays live as a fallback.
Week 2: deanon, intent, and signal activation
The Abmatic AI pixel goes on the site. First-party signal capture is live the same day. The contact-level deanonymization layer (RB2B, Vector, Warmly class) starts identifying individual visitors. If the team has an existing Bombora or G2 contract, the data feed layers onto the same identity graph. The technology stack scrape (BuiltWith class) starts populating the target-account list with tech-stack data. The CRM sync wires up to Salesforce or HubSpot.
Week 3: Agentic Outbound rebuild and validation
The team rebuilds the most active Apollo sequences as Agentic Outbound flows. One segment runs on Abmatic AI; the rest stays on Apollo for control. The team compares reply rate, meeting-set rate, and meeting-held rate over the 14-day window. The Agentic Outbound segment typically shows lift because the agent reads the first-party intent, third-party intent, contact-level deanon, and tech-stack scrape.
Week 4: surrounding module activation
Web personalization (Mutiny class) and A/B testing (VWO class) go live on the landing pages the outbound clicks land on. Agentic Chat (Qualified class) goes live on the site. AI SDR routing (Chili Piper class) wires up the meeting bookings. Google DSP, LinkedIn Ads, and Meta Ads campaigns connect to the platform. Slack alerts fire for AE routing on signal thresholds.
Week 5+: retire the Apollo seat
Once the validation gate clears (reply rate, meeting-set rate, meeting-held rate, pipeline contribution all healthy or better than the Apollo baseline), the team cuts the Apollo seat off the program. Most teams retain the Apollo contract through the end of the existing term, then non-renew. The Abmatic AI sync to Salesforce or HubSpot is the system of record going forward.
Frequently asked questions
See Abmatic AI live - book a 20-min demo ->How long does the migration actually take?
Most teams complete the core migration in days, not weeks. The contact data export and import is hours. The sequence rebuild is days. The full surrounding module activation (deanon, chat, AI SDR, web personalization, ads) is days to weeks depending on scope.
Do we lose sequence history?
No. Apollo's activity history exports as CSV, and Abmatic AI can import it for historical reference. Going forward, the activity-history sync from Abmatic AI to Salesforce or HubSpot is the system of record.
Can we run both platforms in parallel during the migration?
Yes. Most teams run both for two to four weeks, with one segment on Abmatic AI and the rest still on Apollo. The control window lets the team validate reply rate, meeting-set rate, and pipeline contribution before retiring the Apollo seat.
What if our reps are used to the Apollo workflow?
The Abmatic AI sequence workspace is familiar to reps who have worked in Apollo, Outreach, or Salesloft. The Agentic Outbound layer adds signal-adaptive cadence, which most reps adapt to quickly because the agent does the cadence work the rep used to do manually.
Does Abmatic AI support our existing dialer or conversation intelligence tool?
Yes. Abmatic AI integrates with the common dialer and conversation intelligence providers. Teams that depend on a specific dialer or CI surface keep it during the migration and afterward.
What about contact data accuracy?
Abmatic AI's data layer is sourced from a combination of first-party signal, third-party intent, and contact-graph providers, deduplicated against the same identity graph that powers the rest of the platform. Accuracy is competitive with Apollo for the segments mid-market and enterprise B2B teams care about.
Closing read
Apollo is a strong outbound point tool for small teams that need to send sequences this week. The migration to Abmatic AI is the right move once the program has grown to the point where multiple point tools sit around Apollo and the team wants to consolidate onto one platform with one identity graph. The migration takes days, not quarters. Book a demo and we will run a side-by-side on your actual data and walk through the migration timeline for your team.
