Trigify Is Joining HubSpot: Export Your Signal Data Before October 22

Trigify announced on September 23 that its team is joining HubSpot. For most customers, standard access ends at 11:59pm BST on October 22, 2026.

Congratulations to the team. HubSpot does not hire a team like that by accident.

For everyone running signals on Trigify, the practical part is short and slightly uncomfortable. Nothing moves over. According to Trigify's own announcement, accounts are not migrated to HubSpot, and HubSpot will not use customer data as part of the move. Whatever you want to keep, you export yourself, before the deadline.

Nobody plans a tool migration into their Q4. If it were our stack, we would want four answers fast: what to export, in what order, what to replace it with, and how to switch without a week of blind spots.

What changes on October 22

Three facts from the announcement on trigify.io:

• Standard access runs until 11:59pm BST on 22 October 2026. Customers with different contractual notice periods get their own dates directly, so check your contract before you plan around the 22nd.
• Your Trigify account is not migrated to HubSpot.
• Your data does not come along either. You save what you want to keep, using the export options inside Trigify. If an export gives you trouble, the announcement lists a support contact.

The obvious loss is the app. The expensive loss is quieter. Every workflow that pushed signals into your CRM, a Slack channel or a sequencer stops on the same night. Nothing throws an error. The alerts just stop arriving, and a quiet feed looks exactly like a slow week. The first sign might be a rep asking, two weeks later, why nobody has been flagged since the 22nd.

The five things to export, in order

This is the checklist we shared with Trigify users. Work it top to bottom. The first three items rebuild your setup, the last two keep its memory and its plumbing.

1. Every person and account you watch, with their LinkedIn URLs. The URL is the key that survives a tool change. Names collide and titles change, but a LinkedIn URL points at exactly one person, so a new tool can pick up where the old one stopped.

2. Your searches and keywords, word for word, with any filters. Keyword logic gets tuned over months. You added an exclusion after a week of junk. You dropped a term that only ever caught job seekers. None of that survives in your memory in exact form, so copy the strings as they run today, exclusions included.

3. The competitor and creator pages you track, and who engaged with them. The page list tells you where your buyers gather. The engager list is a warm list in its own right: people who chose your category on purpose. If you do nothing else with the export, this is the list you can work next week. More on why in your competitor's followers are your warmest leads.

4. The signal history, with dates. Who did what, and when. Of the five, this is the only one you cannot rebuild later.

5. Your workflows, and where each one pushed. CRM, Slack, sequencer. Write down the trigger, the filter and the destination for each, so the rebuild lands in the same places and your team's habits survive the switch.

Run the export this week, then run it again on your last day of access. The second pass catches whatever fired in between.

Why the dates matter more than the data

A new tool can find the same people. It can watch the same pages and run the same searches from the day you set it up. It cannot go back in time.

A signal without a date is half a signal. Signals decay, and each type stays warm for a different length of time, which we broke down in buying signal decay. The date is what tells you whether an engagement from July is still a reason to write or already stale.

Hiring shows what is at stake. Roughly 73% of roles go live within 30 days of budget approval, and vendor research typically starts 60 to 90 days after that. A hiring signal your old tool caught in August is a buying window that opens around October or November. Keep the date and you know when to act. Lose it and the account looks cold on day one of your new tool, right as it is getting warm.

The history also shows repetition. One like on a competitor's post is interesting. The same person engaging three times since June is a pattern, and patterns are how you rank a list. That is signal stacking, and it only works if you still have the earlier events.

Without the history, any new tool starts cold and spends months relearning who is warm. With it, you load the last few months and carry on from where you were.

What to look for in a Trigify alternative

Trigify pitched itself as the signal layer for AI agents. Whatever you move to should still do the jobs you bought it for, plus a few it never covered. Before you commit, check that it:

• Keeps watching an uploaded list. Load the export, and every person and account stays on watch week after week. One-time enrichment is a different product.
• Covers person and company signals in one place: job changes, hiring, posts, comments, likes, competitor engagers, company news. Spreading them across three vendors brings back the tab problem you bought a signal tool to solve.
• Runs an ICP filter before anything reaches you. In one of our runs, 4,774 raw signals filtered down to 341 qualified leads, a 6.7% pass rate. Without that filter, the filtering job lands back on your reps. See why the ICP filter matters more than more signals.
• Writes to the destinations you already use, the same CRM, Slack channel and sequencer, or offers an API and MCP connection so your agent in Claude or Codex can pull signals directly. More in buying signals your AI agent can actually use.
• Keeps going after the sequence ends. Most tools stop at the last step, yet the people who ignored you, said later or never showed up are the ones whose signals you want next quarter.
• Puts a human on every message. Let AI do the finding, the watching and the scheduling, and keep it out of the conversation.
• Can run side by side before the cutover. A vendor that cannot run in parallel until the 22nd is asking you to trust their import blind.

A cutover plan that does not lose a week

October 22, 2026 is a Thursday. Work backwards from it:

1. This week, export everything. All five items above, saved somewhere that depends on neither tool.
2. Next, rebuild in the new tool. Import the watch list by LinkedIn URL, re-create the searches from your word-for-word copy, and add the competitor and creator pages.
3. Then run both side by side. Same accounts, same days. A difference between the two feeds is either a gap in the rebuild or a source you never had, and you want to know which before the old tool goes dark.
4. In the last week, repoint the workflows. Move the CRM, Slack and sequencer destinations one at a time, and confirm each one fires.
5. On your final day, export once more to catch everything that fired since the first export, then archive both files.

Keep the archive after the switch. It is the only record of who engaged with what before your new tool started counting.

Where B2B Signals fits

We built B2B Signals for this kind of work, so here is the offer, plainly. Hand us your export and we will move you. Both tools run side by side until Trigify switches off, so you can check that nothing got lost before you rely on the new feed.

On the other side, you upload the list and every person on it goes on watch. Hiring, funding, job changes, posts, comments, likes, competitor engagers, influencer audiences, events, news and G2 reviews land in one feed, filtered to your ICP. Every plan includes MCP, so you can check signals and approve outreach from Claude or Codex without opening another tab. And a human approves every message before it leaves.

That last part is why the numbers hold. Signal-led, ICP-filtered outreach runs at around 55% connection acceptance and 30% replies in our campaigns, against 20 to 30% acceptance and 5 to 8% replies for cold outreach on unfiltered lists.

Common migration mistakes

Exporting contacts without the history. You keep the names and lose the reasons to write to them. The dated events are what made the list worth watching in the first place.

Rebuilding searches from memory. The version in your head is last quarter's. Copy the live strings, exclusions included.

Waiting for the last week. Every day you wait is a day you cannot compare side by side. If something fails to import on October 21, there is no time left to fix it.

Forgetting the workflows. The app going dark is visible. A Slack channel going quiet is not, so map every destination before the switch.

Treating it as a reset. A forced migration tempts teams to start over with a bigger, colder list. Move what was already working first, and expand once the new feed is running.

Frequently asked questions

When exactly does Trigify stop working? Standard access ends at 11:59pm BST on 22 October 2026. Customers with different contractual notice periods receive their own dates from Trigify directly.

Will my Trigify account or data move to HubSpot? No. According to Trigify's announcement, accounts are not migrated to HubSpot, and HubSpot will not use customer data as part of the team's move. You export what you want to keep.

What is the single most important thing to export? The signal history with dates. People, pages and searches can be rebuilt. Who did what, and when, cannot.

Can I run a new tool and Trigify at the same time? Yes, and you should. Running both on the same accounts until October 22 is the only way to confirm the rebuild catches what the old setup caught.

What if part of my data will not export? Use the export options inside Trigify first. For anything that fails, the announcement lists a support contact who can help you get your information out.