Genesy.ai to lemlist migration guide: what to export and rebuild

Why teams outgrow Genesy.ai (and what to evaluate before you migrate)

Switching outbound sales platforms mid-motion is one of the higher-risk moves a revenue team can make. It’s one of the most technically sensitive transitions, because it carries real risks to your sender reputation and inbox placement. So before pulling the trigger on any migration from Genesy.ai, you want to understand what’s actually driving the switch, and whether a new platform solves the root problem.

Genesy.ai is an AI-powered outbound sales platform that automates lead generation, personalized outreach, and meeting booking through autonomous AI agents. Its multichannel outreach runs on LinkedIn and email. That works well up to a point. However, teams typically start looking for alternatives when they hit limits around channel coverage (no native calling, SMS, or WhatsApp), deliverability infrastructure, or the ability to orchestrate complex conditional sequences across more than two channels.

Before committing to a migration, document these four things:

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  Active campaign volume: How many sequences are live right now, and how far along are prospects in each one? Pausing everything at once creates pipeline gaps.

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  Integration dependencies: Which CRMs, enrichment tools, or automation flows (Zapier, Make) connect to Genesy.ai? Each one is a reconfiguration task.

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  Contract and data-retention windows: Check whether your Genesy.ai contract has a remaining commitment, and how long your data stays accessible after you cancel.

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  Team readiness: Someone has to own the migration end to end. Assign that person before you export a single CSV.

Genesy.ai vs lemlist feature map for migration planning

When you map features side by side, you can see where things transfer directly, where you’ll rebuild, and where lemlist opens up channels Genesy.ai didn’t offer.

A few things to notice here. Genesy.ai’s strength is in automating multichannel campaigns and warming up leads with conditional outreach, but its channel set stops at email and LinkedIn. lemlist adds in-app calling with a native dialer, SMS campaigns, and WhatsApp prospecting within the same sequence builder, so you can reach prospects on whichever channel they actually respond to.

On the enrichment side, Genesy uses waterfall data enrichment, a method where data is sequentially enriched using multiple data sources, ensuring comprehensive and accurate information by filling in gaps and validating data points at each stage. lemlist uses a similar waterfall approach across 14+ providers, with the added layer of built-in email and phone verification before any contact enters a campaign.

The biggest gap typically shows up around deliverability. Genesy.ai handles basic sending. lemlist’s Deliverability Hub gives you automated warmup (lemwarm), inbox rotation across multiple mailboxes, provider-matching (Gmail-to-Gmail, Outlook-to-Outlook), and pre-send content checks. If deliverability is part of why you’re switching, this is where you’ll see the most immediate difference.

What you can export from Genesy.ai (and what you will lose)

In Genesy.ai, emails and phone numbers are checked and duplicates are removed, and the list can be exported as CSV or Excel. That means your core lead data travels with you. Here is what typically comes out cleanly:

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  Contact records: names, emails, phone numbers, job titles, company info

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  Company and account data with custom fields

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  Tags or segments you’ve applied to lead lists

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  Template copy (you’ll copy-paste this manually)

What stays behind is just as important to plan for:

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  Per-message engagement data. Open, click, and reply history on individual messages is tied to Genesy.ai’s tracking pixels and won’t export.

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  Sequence step performance. Which step in your sequence produced the most replies? That data lives inside Genesy.ai’s analytics.

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  AI-generated research notes. Any prospect-level context Genesy’s AI agents created is proprietary to the platform.

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  Sender reputation and warmup progress. An inbox that was warmed up properly earlier can lose reputation if send volume spikes suddenly. Your warmup state does not carry over.

Before you cancel your Genesy.ai account, screenshot or export your campaign performance reports. Download reply threads that contain deal context. And tag every prospect with their current status (replied, opened, no response, meeting booked) so you can segment them correctly after import.

Step-by-step migration process from Genesy.ai to lemlist

Each step here depends on the one before it. Skipping ahead or doing them out of order creates the exact data and deliverability problems this guide is designed to prevent.

1. Audit your Genesy.ai account and document active workflows

Open every active sequence in Genesy.ai. For each one, write down the channel(s) it uses, how many prospects are mid-sequence, and the current performance (reply rate, bounce rate). Decide which campaigns to let finish in Genesy.ai, which to pause, and which to recreate in lemlist. This audit is your migration blueprint.

2. Export and clean your lead data

Export all contacts as CSV. Then clean the file: remove duplicates, standardize job titles, fix phone number formatting, and tag each lead with their last engagement status. This step matters because dirty data imported into a new platform will produce high bounce rates on day one, which amplifies deliverability damage on fresh sending infrastructure.

3. Set up your lemlist workspace, domains, and integrations

This step happens before you import a single lead. Purchase or connect your sending domains inside lemlist, configure DNS authentication (SPF, DKIM, DMARC), connect your CRM, and activate lemwarm on every new inbox. Since February 2024, both Google and Yahoo have required bulk senders to have a DMARC record in place, and Microsoft followed suit in May 2025. Getting authentication right is non-negotiable.

4. Import leads and rebuild sequences

Upload your cleaned CSV into lemlist and map fields to lemlist’s contact properties. Rebuild your sequences using the multichannel campaign builder, mapping each Genesy.ai step to the right channel. If you want to go faster, lemAgent can generate a full multichannel sequence from a plain-language description of your goal and ICP, so you’re not starting from a blank screen.

5. Run validation checks before going live

Send test emails to seed addresses in Gmail and Outlook. Verify inbox placement (not just delivery). Confirm your CRM is logging activities correctly. Check that personalization variables render the right values. Do not launch at full volume on day one. Start with a small batch and expand.

How to protect deliverability when switching outbound platforms

Deliverability is the single biggest risk in any outbound platform migration. Inbox providers evaluate your sending reputation on a combination of signals: authentication, engagement, complaint rates, and send consistency. When you switch platforms, the infrastructure carrying your sends changes.

That means even if your emails performed well in Genesy.ai, the same copy sent from a new platform on new IPs can land in spam. Deliverability typically stabilizes within 2–4 weeks with consistent, gradual sending, and a short-term drop is not a sign of failure but a normal transition.

Here is what to get right:

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  Warm new sending domains and inboxes. Warmup means gradually increasing send volume from a new domain so inbox providers build trust. lemwarm automates this inside lemlist by exchanging real emails with real inboxes at a controlled pace. Start warmup at least two weeks before any outreach goes out.

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  Preserve your sending domain if possible. Your IP address is going to change (that’s unavoidable), but your sending domain and “from” email address don’t have to. Keep both the same as your old platform, and you limit the number of changes inbox providers assess.

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  Monitor inbox placement after launch. lemlist’s Deliverability Hub lets you run inbox placement tests across Gmail, Outlook, and other providers before and after campaigns go live. You see whether emails land in primary, promotions, or spam, and automated alerts flag problems before they reach your reply rates.

4 migration risks that kill pipeline (and how to prevent them)

Engagement history loss

When you import leads from Genesy.ai into lemlist, the new platform has no record of prior outreach. Prospects who already received five emails get contacted again as cold leads. Prevention: segment imported leads by status (replied, opened, no response) and build separate sequences for each group.

In-flight sequence disruption

Active campaigns in Genesy.ai stop the moment you cancel. Prospects mid-sequence receive no follow-up. Prevention: let critical sequences finish in Genesy.ai before deactivating, or manually recreate the remaining steps in lemlist with appropriate delays so prospects pick up where they left off.

Deliverability dip from cold domains

New sending domains have zero reputation with inbox providers, which means your first sends are under extra scrutiny. Prevention: activate lemwarm on all new domains and inboxes before launching any outreach. Two weeks of warmup is the minimum; four is safer for high-volume operations.

Dirty data contaminating the new platform

Each platform handles unsubscribes, bounces, and suppression lists differently. If these settings are not mapped correctly during migration, you risk sending to people who are supposed to be excluded. Prevention: run lemlist’s built-in email verification on every imported list and manually migrate your suppression list.

Parallel run vs. hard cutover for outbound tool migration

You have two options for the actual switch. A parallel run keeps Genesy.ai active for existing sequences while new campaigns launch in lemlist. A hard cutover stops all Genesy.ai activity on a set date and moves everything at once.

Parallel runs are safer for teams with high in-flight volume. You avoid disrupting active deals and give yourself time to validate lemlist’s setup before going all-in. The trade-off is cost (you’re paying for two platforms) and complexity (you’re managing outreach in two places, which can lead to duplicate touches if you’re not careful).

Hard cutovers work for smaller teams or teams between campaign cycles. You pick a date, export everything, set up lemlist, and switch. It’s simpler to manage, but it requires more upfront preparation because there’s no fallback.

How to validate your migration was successful

Migration is done when three things check out:

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  Record count and field integrity. Compare your Genesy.ai export row count against your lemlist workspace. Flag any contacts missing emails, phone numbers, or custom field values. Even one broken field mapping can break personalization across an entire sequence.

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  Sequence logic and personalization testing. Send test runs of every rebuilt sequence. Confirm conditional branching works correctly (e.g., “if no email reply after 3 days, send LinkedIn message”). Verify personalization variables render real values, not blank or placeholder text.

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  Deliverability baseline comparison. Use lemlist’s inbox placement testing to establish your starting point. Compare open rates and bounce rates from your first small sends against your Genesy.ai benchmarks. Avoid comparing raw open rates between platforms during the first month and focus instead on positive engagement trends.

Your first 14 days in lemlist after migrating from Genesy.ai

Week one is about stability. Monitor Deliverability Hub daily. Keep send volumes conservative. Watch bounce rates closely (anything above 3% means your list needs more cleaning). Onboard team members using lemlist’s in-app guidance and chat support.

Week two is about expansion. Test a channel you didn’t have in Genesy.ai, whether that’s in-app calling, SMS follow-ups, or WhatsApp for no-show recovery. Review your first campaign analytics to set new performance baselines. And start using lemlist’s intent signals to add timing to your outreach, not just volume.

You’ve done the hard part. The data is clean, the sequences are rebuilt, and your deliverability infrastructure is warming up. Now the advantage kicks in: more channels, better deliverability tools, and AI that works across the full campaign lifecycle.