# How to Migrate Off Outreach to Yalc Without Losing Pipeline > Canonical: https://www.yalc.ai/blog/migrate-off-outreach-to-yalc/ The honest scope, the real risks, and the step by step move from Outreach.io to a markdown configured Yalc stack that consolidates the whole sales engagement layer. An Outreach migration is the move off Outreach.io to a new sales engagement layer, translating sequences, prospects, CRM sync, and reporting into whatever you run next. In 2026 the honest scope is two to four weeks of work, not a weekend export. The hard part is not the data, it is protecting pipeline while you cut over. If you are pricing a move because the Amplify seat plus the AI credit meter is quietly out of budget, or because the operators on your team can no longer edit the workflow the platform runs, the rest of this page is the map. The thesis underneath it is simple. Outreach is a sequencer wrapped in a reporting layer wrapped in a CRM glue layer. When you leave, you are not swapping one sequencer for another. You are collapsing the whole stack into something an operator can read and edit. ## What an Outreach migration actually involves in 2026 At the surface, four things move. Prospects and accounts, sequences and templates, CRM sync mappings to Salesforce or HubSpot, and reporting connected to whatever dashboards the RevOps team keeps open. Below the surface, one thing moves. The tribal knowledge encoded in a hundred custom fields, a dozen sequence variants, and the manual patches your ops person layered on last quarter, all of which lived inside Outreach and none of which are documented. Most guides treat this as a data export. That framing is why so many migrations stall. The data leaves cleanly enough, and the workflow does not. A sequence that reads "if the prospect replies negative, pause parent account for 30 days, notify AE in Slack" is one line of Outreach configuration and roughly three files in whatever you migrate to. Multiply that by every quirky rule your team relies on. That is the migration. Two questions clarify scope before you start. What does Outreach actually do for the business right now, and which of those functions still need to exist next quarter. If the answer to the second question is not "all of them," the migration is also a chance to retire work you have been carrying for years. That is closer to how a serious [Outreach alternatives](/blog/outreach-alternatives/) decision should be reasoned about, and it is the framing this article assumes. ## How complex is an Outreach migration, honestly Complexity scales with three variables, not the seat count. How many sequence variants your team actually runs, how many custom fields your Outreach instance carries, and how tightly your CRM sync is wired into pipeline and forecast reporting. For a small team with under twenty sequences, one CRM object, and roughly fifty active users, plan for two to three weeks of focused work. For a mid market team with forty plus sequences, deep Salesforce customization, and 150 users, plan for four to six weeks. AeroLeads runs a similar bracket, calling one to two weeks the range for 10K to 20K prospect records and 4 to 8 weeks for the enterprise bracket, per its [Outreach migration guide](https://aeroleads.com/blog/import-your-data-into-outreach-io-migration/). Nooks quotes a 2.5 week transition and a two to four week hypercare tail on top of that, per its [step by step migration guide](https://www.nooks.ai/blog-posts/a-step-by-step-migration-guide-to-leaving-outreach-or-salesloft-without-breaking-pipeline). The complexity operators underestimate is the custom field bloat that Outreach silently accumulates. Instances routinely carry forty or more custom fields, most of which nobody uses, and importing them wholesale rebuilds the same clutter in the next platform. Cut them during the audit, not after. The complexity operators overestimate is the sequence rewrite itself. In practice, three or four templates power seventy percent of your active pipeline. Migrate those cleanly and the long tail can either move later or die quietly. Most of it should die quietly. ## How risky is migrating away from Outreach There are three real risks and one loud fake one. The loud fake risk is downtime. Losing one day of sends does not lose you pipeline. Losing your sending reputation does. Nooks makes this point too, and it is worth repeating because most vendor pitches invert it. The one click, zero downtime story sells easier than the boring, expensive truth. If your team is disciplined, you can pause sends for a week and recover, but you cannot recover a domain that got flagged during a botched cutover. Risk one is deliverability. This is the risk that pays for skipping the parallel run, which we treat as its own H2 later. Since February 1, 2024, Google and Yahoo enforce authentication and complaint rate rules on any sender above 5,000 messages a day to their inboxes, and the cutover moment is exactly where a fresh domain gets throttled if the auth records are not verified before the first send ([Google bulk sender guidelines](https://support.google.com/a/answer/81126)). Risk two is reporting continuity. Salesforce dashboards trained to read Outreach's activity object will go blind the moment you unplug the sync, and forecasting that depends on sequence engagement fields loses input. Map the fields before you touch the sync, not after. Risk three is human. Reps who ran Outreach for three years will not adopt a new surface on day one. This is why every serious migration guide, including Outreach's own [platform migration guide](https://www.outreach.ai/resources/blog/platform-migration), lays out a 30 to 90 day hypercare window. Skip it and the new platform gets blamed for problems the migration itself introduced. De risk each one deliberately. Verify authentication before the first send. Rebuild dashboards before you unplug the sync. Run a parallel window so hypercare finds edge cases while the old system still catches misses. ## How to export your Outreach data cleanly The export is more work than it should be, and this is the one place vendor documentation is honest. Standard exports inside the app cap at 200 rows in the synchronous flow, and larger exports get queued asynchronously with no defined delivery time, per [Outreach's export docs](https://support.outreach.io/hc/en-us/articles/360038242394-Export-from-Outreach-Overview). The complete option is the ad hoc, one time export. You request it, an internal team compiles your full workspace, and they ship you a compressed archive of raw JSON with a 12 hour download window before the link expires, per [Outreach's ad hoc export instructions](https://support.outreach.io/hc/en-us/articles/15735564971291-How-to-Request-an-Ad-Hoc-One-Time-Export-of-Your-Outreach-Data). Their own docs recommend an engineer on your side to extract, transform, and load the payload. Plan for a one to two week ETL sub project before you touch anything downstream, and start it at the beginning of the migration, not the end. What to pull for a Yalc bound migration. Prospects and accounts as CSV. Sequences as JSON with their step logic intact. Templates as separate assets so your prompts can reference them. Sync mappings as a documented list so you can rebuild the CRM contract from scratch, not from the platform's abstraction of it. Reporting queries as documented SQL against your data warehouse if you have one, so dashboards keep reading real numbers on Monday. ## Translating sequences into markdown skills instead of clones The mistake almost every migration makes is treating a sequence like a document that must be re created, step by step, in the next tool's UI. Copy the touches, copy the delays, copy the branching. That reproduces the same rigid object you were paying Outreach to run. Yalc treats a sequence as a markdown skill. The file describes what to look for, what to send, and what to do with the reply, in plain English. Claude Code reads the file and runs it against your data providers and your sender. The skill file becomes the artifact your team edits, versions in git, and reviews the way engineering reviews code. That is not a stylistic preference. A markdown skill is greppable, diffable, and copyable across clients. A UI sequence is none of those, which is why the person who built the last three sequence variants leaves and no one else can pick up where they left off. The translation pattern is the same across all your active sequences. Take one live sequence. Write a one page markdown file that names the trigger, the audience filter, the message contract, the follow up cadence, and the reply routing. Test it against ten real prospects the same afternoon. Read the output. Rewrite the file until you would send its output without edits. That is the deliverable. This is the same pattern the [Clay to Yalc migration guide](/blog/how-to-migrate-from-clay-to-yalc/) walks through for column graphs, and it applies almost identically to sequences. The upstream qualification lives in a separate skill so a bad list never reaches the send skill, and the qualify leads skill in the public repo is the canonical example to read before you write your first one. ## The consolidation migration plan, sequencer plus enrichment plus CRM glue into one OS This is the frame that changes the economics of the migration. Outreach did not just run your sequences. It sat in the middle of a stack that also included a data provider, an enrichment layer, sometimes a signal feed, sometimes a workflow builder, and a set of manual CRM sync patches. Every one of those integrations was a monthly bill or an operator hour. The Yalc consolidation collapses the middle. Prospect data comes in through [Crustdata](/tools/crustdata/) for the firmographic and signal layer, and through [FullEnrich](/tools/fullenrich/) for the waterfall email layer. Cold email goes out through [Instantly](/tools/instantly/), which handles the sender infrastructure Outreach used to bundle. LinkedIn goes out through [Unipile](/tools/unipile/). CRM state stays in Salesforce or [HubSpot](/mcps/hubspot/), and Yalc syncs it through the same API contracts, described in a markdown file you can read. What Yalc replaces is the glue and the reporting layer, not the data sources or the senders. A comparison of the two sides as a category is walked through in [Yalc vs Outreach](/blog/yalc-vs-outreach/), and the cost picture in year one is where most operators are surprised. Outreach.io's Amplify plans now bundle a consumption based AI credit meter on top of the seat fee, with Amplify Core at 25,000 credits, Amplify Plus at 50,000, and Amplify Pro at 100,000 credits per user per year, per [Outreach's pricing page](https://www.outreach.ai/pricing). A 50 seat Engage deployment still lists near 72,000 dollars a year on the base sequencer alone before those add ons and credits, per [MarketBetter's 2026 pricing breakdown](https://marketbetter.ai/blog/outreach-pricing-breakdown-2026/). A markdown operator OS running against the same providers has no seat meter and no credit line. That is the consolidation math. You are not paying to swap sequencers, you are pulling the platform tax off the entire middle mile. ## Protecting deliverability during cutover This is the section every migration guide skips and every migration pays for. Cutover day is exactly the moment where deliverability breaks quietly. A newly authorized domain fires its first campaign from Instantly through your ESP without SPF, DKIM, or DMARC alignment. Gmail throttles it inside the first thousand sends. Yahoo starts flagging as spam. Complaint rates spike, sometimes past the 0.3 percent threshold the [Google bulk sender guidelines](https://support.google.com/a/answer/81126) draw, and the team blames the new tool. Two rules keep you out of that ditch. First, verify SPF, DKIM, and DMARC records on every sending domain the day you connect them, not the day you send. Second, warm each sender for at least two weeks against a warmup mailbox before you push volume through it, and keep initial daily volume small, on the order of ten to twenty five sends a day per mailbox, then ramp gradually. The [cold email deliverability](/blog/cold-email-deliverability/) breakdown covers the specific auth records, spam thresholds, and warmup pacing that Google now enforces. The reason this belongs inside a migration guide, not next to it, is timing. The moment your team stops sending through Outreach and starts sending through the new stack is the moment your reputation history resets from the receiver's point of view. Sending domains carry reputations, not tools, and switching tools on a domain that is already warm is safe. Switching tools onto a new domain and treating it as if it were warm is what kills the first quarter of post migration pipeline. ## Step by step, moving from Outreach to Yalc The runbook, in the order it actually happens. Week one. Audit. Open every active sequence and every dashboard and answer one question. Is anyone still using this. Kill what has been dead more than 60 days. Document the sequences you are keeping in plain language. List the custom fields you actually query. Note the CRM objects Outreach writes to and the fields sales operates on. Request the ad hoc data export the same day so it starts running. Week two. Rebuild. For each surviving sequence, write a markdown skill in Yalc that reads the input, calls the providers, sends through Instantly or Unipile, and routes replies. Test each skill against a ten row sample. Point Yalc at Crustdata and FullEnrich. Verify the CRM sync writes to the right Salesforce or HubSpot fields. Week three. Parallel run. Route ten to twenty percent of new pipeline through Yalc while Outreach handles the rest. Same target audience, same offer, same volume caps. Read the outputs side by side every morning. Look for the edge cases the old sequence quietly patched a year ago. Fix them in the markdown file. Verify sending domains authenticate cleanly under real traffic. This is the two week window the [Nooks migration guide](https://www.nooks.ai/blog-posts/a-step-by-step-migration-guide-to-leaving-outreach-or-salesloft-without-breaking-pipeline) calls hypercare and treats as non optional. Follow that lead. Week four. Cutover. Pause every Outreach sequence Monday morning. Push all new prospects into Yalc for the week. Watch inbox conversations and CRM writes end to end. Pull the provider API keys out of Outreach on cutover day so credits stop burning. If any dashboard breaks, fix it before Wednesday. Sit with the system for the rest of the week and resist starting anything new. Weeks five and six, hypercare. Post migration issues surface around day ten, not day one, and they surface as pipeline slippage rather than dramatic breakages. Be present. This is exactly the pattern Outreach's own [platform migration guide](https://www.outreach.ai/resources/blog/platform-migration) describes as the 30 to 90 day support window, and the shape is right even coming from the incumbent. ## What you keep, what you replace, what you retire Keep the data providers you already like and the senders that already carry deliverability history. Keep Salesforce or HubSpot as the system of record for opportunities and pipeline. Keep the AE workflow the sales team relies on. Keep the sequences you have proven work. Replace the sequencer, the reporting layer, and the CRM glue with one Yalc workspace. Replace the workflow builder if you had one bolted on. Replace the credit meter and the seat math with a flat operator OS. If your team was on [Outreach](/tools/outreach/) as the sequencer surface, this is where the tool page describes the exact swap in more detail. Retire the sequences that have not produced a reply in 90 days. Retire the custom fields nobody queries. Retire the Zaps and webhooks whose only job was carrying data between Outreach and something else, because the same data now flows through one API contract you own. Retire the reporting requests your RevOps person built in Outreach's report builder and rebuild them as SQL queries against the warehouse. For the wider category context on how this move fits inside the modern outbound stack, the [AI SDR tools](/blog/ai-sdr-tools/) breakdown lines up the alternatives, the pricing, and the specific place the operator OS pattern sits inside a serious outbound team. ## The 30 day migration checklist and timeline Print this or paste it into the migration doc. - Day 1. Request ad hoc data export from Outreach support. Start the 12 hour download timer when the archive is ready. - Days 2 to 5. Audit sequences, custom fields, dashboards, and CRM sync. Kill what is dead. - Days 6 to 10. Rebuild each surviving sequence as a markdown skill. Point Yalc at Crustdata, FullEnrich, Instantly, and Unipile. Verify CRM writes. - Days 11 to 14. Verify SPF, DKIM, and DMARC on every sending domain. Warm any new senders. - Days 15 to 21. Parallel run at 10 to 20 percent of volume. Read outputs side by side every morning. Patch skills, not clones. - Days 22 to 24. Cutover. Pause Outreach sequences. Pull API keys. Push all new pipeline through Yalc. - Days 25 to 30. Hypercare. Watch for pipeline slippage. Fix in markdown. Two habits make the checklist stick. First, keep the parallel window even if the new stack looks perfect on day fifteen. It is not perfect. It is untested at production volume with weird historical edge cases. Second, keep the runbook in the same repo as the skills so the next operator can read what happened and why. ## What to do this week If you have not yet made the call, spend an afternoon writing down every sequence, every custom field, and every dashboard that Outreach owns for you today. Not what the platform can do, what it actually does. That single audit reframes the migration from a big scary lift into a specific list of files you already know how to rewrite. Then request the ad hoc export so the 12 hour clock is not the thing that slows you down. If you are already in the parallel window, stop watching the volume graph and start reading the outputs. The graph will look fine. The individual replies and CRM writes are where the year old patches surface, and they surface as a wrong salutation on one segment or a null field on another, not as an outage. Fix each one in the markdown file the same morning. That is the [qualify leads skill](/skills/qualify-leads/) pattern applied to the send side. Ten patches later, you own the workflow. The teams that migrate off Outreach cleanly do not treat it as a tool swap. They treat it as the moment they finally get to consolidate a stack they have been maintaining for three years, and they use the audit to keep only the parts that produce real pipeline. Yalc is the operator OS that carries the middle. Sales still owns the calls. ## Frequently asked questions ### What does an Outreach migration actually involve? An Outreach migration moves prospects and accounts, sequences and templates, CRM sync mappings, and reporting off the Outreach.io platform to whatever you run next. Below the surface it also moves tribal knowledge encoded in custom fields and manual patches. The clean version is a stack consolidation, not a sequencer swap, because the reporting layer and the CRM glue leave with the sequencer. ### How long does it take to migrate off Outreach? Two to four weeks for most teams, four to six weeks for mid market instances with heavy custom fields or deep Salesforce customization. AeroLeads reports one to two weeks for 10K to 20K records and 4 to 8 weeks for enterprise volumes. The parallel run is the part you cannot compress, because it is where year old edge cases surface on real data. ### How do I export my data out of Outreach.io? Standard app exports cap at 200 rows synchronously, and larger exports queue asynchronously with no defined delivery time. The complete option is the ad hoc, one time export, which ships as a compressed archive of raw JSON with a 12 hour download window. Outreach recommends an engineer on your side to extract, transform, and load it, so plan for a one to two week ETL sub project. ### Will migrating off Outreach break my Salesforce or HubSpot sync? Only if you unplug the sync before you rebuild the field mapping. Salesforce dashboards trained on Outreach's activity object go blind the moment the sync stops. Document the field contract before cutover, rebuild it against the new sender, then verify writes against a ten row test list before you enable at volume. ### Can I migrate my Outreach sequences one to one to a new tool? You can, and you should not want to. Cloning a UI sequence into another UI reproduces the same rigid object. The cleaner move is to translate each sequence into a markdown skill that describes trigger, audience, message, cadence, and reply routing in plain English. That artifact is greppable, diffable in git, and copyable across clients. ### How much does Outreach.io actually cost per seat in 2026? A 50 seat Engage deployment still lists near 72,000 dollars a year on the base sequencer alone, roughly 120 dollars per user per month, per MarketBetter's 2026 pricing breakdown. On top of that, the new Amplify tiers add a consumption based AI credit meter, with Amplify Core at 25,000 credits per user per year, Plus at 50,000, and Pro at 100,000. Add on modules for Meet, Deal, and Forecast add 20 to 50 dollars per user per month each. ### How risky is it to migrate away from Outreach? The loud fake risk is downtime. The real risks are deliverability breakage on a fresh sending domain, reporting continuity if you unplug the sync before rebuilding dashboards, and rep adoption if you skip a 30 to 90 day hypercare window. De risk each deliberately. Verify authentication before the first send, rebuild dashboards before you unplug, and run parallel long enough for edge cases to surface.