Trigify, Common Room and Warmly alternatives for LinkedIn buying signals

Trigify says its standalone platform is being retired, with access ending for most customers at 11:59pm BST on 22 October 2026. If you relied on it to watch LinkedIn signals, you now need another route. This post compares what Trigify, Common Room and Warmly say about themselves, lists their prices as shown on their own pages on 25 October 2026, and explains how to choose a replacement. Sellinger is one option, and we are the author, so read our section with that in mind.

What is happening with Trigify?

The notice on trigify.io says the standalone platform is being wound down. For most customers, access remains available until 11:59pm BST on 22 October 2026, and customers with different contract terms will get their own dates. Monitoring and signal collection stop when access ends, subscriptions will not renew beyond the service end date, and the page says Trigify will not continue within HubSpot and accounts will not be migrated. It points customers to Trigify for exports, workflows and billing (Trigify, read 25 October 2026). The page does not name a replacement.

Its stated idea was that go to market teams could make better decisions with better signals and context. That is the job to replace.

What do Common Room and Warmly say they do?

Both are bigger and more expensive than a single purpose signal watcher, and both are aimed at teams with a budget for it.

Common Room. Its pricing page lists three plans. Essential is $2,500 a month, billed annually, with 5 seats, up to 100k contacts, and 5k RoomieAI research credits and 2.5k Prospector credits. Advanced and Enterprise are custom, with 15 and 30 seats. Alerts, workflows and segments are listed as unlimited. The page lists website deanonymization at 1k a month on Essential and Advanced and unlimited on Enterprise, and says every plan includes CRM, sales engagement and Slack integrations and the MCP server (Common Room pricing, read 25 October 2026).

Warmly. Its pricing page lists three core plans: AI Web-Deanonymization from $10,000 a year ($4,875 a quarter), Inbound Chat from $20,000 a year ($6,500 a quarter) and AI Inbound Autopilot from $30,000 a year ($9,750 a quarter), each from 10K credits a month. A GTM Signals package is an add-on at $10,000 a year and adds intent data, hiring activity, funding events and competitive intelligence. The page lists social media monitoring as a signal and says plans can retarget by email, LinkedIn and ads (Warmly pricing, read 25 October 2026). The page's own annual and quarterly figures do not obviously add up to its "save 30%" toggle, so confirm terms with Warmly before you rely on them.

How do they compare?

Read the table as a map of who does what, not a ranking.

What does Sellinger do differently?

Sellinger is an AI SDR, not a signal dashboard. It includes intent signals on LinkedIn with 26 ready made signal templates in 8 categories, included with every bundle, and then the same agent writes to the people the signals find on LinkedIn, email or WhatsApp, answers the replies and books the meetings. Bundles run from $249 to $1,199 a month, and LinkedIn is $198 per agent. The intent signals page lists the templates.

That means the signal is the start of a conversation rather than a row in a list. It also means Sellinger is not the right tool if you want website visitor identification as the core, or a community and product usage view across many sources. For that, a tool built for it is the better fit.

For how signal based outreach compares with starting from a database, see signal based vs database prospecting. For the broader list of tools, see the best intent data tools.

How should you choose?

Ask four questions.

1. Where do the signals come from? LinkedIn activity (engagers, followers, job changes), your own website, product usage or third party research data. A tool that is strong on one source may not cover another.

2. What do you do after a signal? If the answer is "write a message", look for a tool that writes and sends it. If the answer is "tell sales", look for good alerts and CRM integration.

3. Who will use it? A tool priced at $10,000 a year or more is a budget line with an owner. A tool included in an outreach bundle is something a founder can try this week.

4. What do you have to measure? Signals are worth paying for if the people they find reply more than people from a plain list. Test it: split a list, send to both, and compare replies and meetings held with the base next to each. Do not trust anyone's average, including ours.

What about the data you had in Trigify?

Export what you can before the access date, or ask Trigify now if your date differs, since the page says customers on different terms get their own dates. Keep the list of accounts and people you were tracking, and the signal definitions. Rebuilding the definitions in a new tool is the slow part, so write them down in plain words: who, which action, in the last how many days.

A short checklist for the switch

• Export lists, tracked accounts and signal definitions.
• Write each signal as a sentence: person type, action, window.
• Pick the one or two signals that led to conversations, not all of them.
• Decide the action for each: write a message, alert a person or add to a list.
• Run a two week test on a small list and count replies and meetings with the base.
• Only then commit to an annual plan.

Signals are a way of choosing who to write to and what to say first. Any tool that does that is worth testing, and the one to keep is the one whose signals turn into conversations you can count.

What would a test of a signal look like?

This is a made up example to show the method. You choose one signal: people who comment on a competitor's post. You find 100 such people over two weeks.

• Split them in two. Write to 50 with a message that refers to the topic of the post, and to 50 with your normal opener.
• After three weeks, count replies, positive replies and meetings held in each group, with the base next to each.
• If the signal group replies more, keep the signal and widen it. If it does not, the signal may be too weak, or the message did not use it.

Repeat with a second signal. After a month you will have a short list of signals that earn their place, which is more useful than a long list of everything a tool can watch.

Who should not switch to an outreach tool?

If your main need is understanding a community or product usage across many sources, or identifying anonymous website visitors, a tool built for that will serve you better than an outreach product with LinkedIn signals. Pick by the job, and test before you commit.