Trigify

Trigify: What Counts As A Signal

• 11-plus platforms monitored, including business networks, X, Reddit and video and developer spaces.
• 16-plus signal types: role changes, competitor engagement, tracked topics, hiring, expansion.
• An AI co-pilot that configures monitors and workflows from a plain-English description.
• Replay and backtest — run a workflow against historical signals before shipping it.
• An outputs table recording every action taken, queryable and exportable.

Trigify: Signals And Surfaces

Trigify: Watching What Buyers Do In Public

The positioning is explicit: signal-based social intelligence, the signal layer for AI agents, with every buying signal across 11-plus social platforms ready for your workflows and agents.

The examples given describe the product precisely — someone commenting on a competitor's launch, asking for recommendations, complaining about a tool, announcing a new role, or posting about a problem you solve.

The premise is sound and the supporting statistics are the standard ones for this argument: a stated average cold-email reply rate of 0.7 percent in 2026, 73 percent of business buying journeys beginning on social, and buyers being eleven times more responsive when contacted in context. None of those carry a source we could follow, and the middle one is the kind of figure that circulates widely without attribution.

What is uncontroversially true is the direction. Untargeted cold outreach has collapsed in effectiveness, and a message referencing something a person actually said outperforms one referencing nothing.

That is the whole thesis, and it does not need a percentage to be persuasive to anyone who has run outbound recently.

Untargeted cold outreach has collapsed. A message referencing something a person actually said outperforms one referencing nothing — that is the thesis, and it needs no percentage.

Profiling People And What The Law Expects

This section is not an allegation about the company, and none is intended. It describes obligations that fall on the buyer, which the marketing page does not mention.

What the product does is monitor named individuals' public activity over time, infer intent from it, and attach that inference to a person record. Under GDPR that is profiling, and profiling is a defined activity with defined consequences: you need a lawful basis, you must be able to explain it, and the person retains rights to information, objection and erasure.

Public availability is the most common misunderstanding here. That data is publicly visible does not make it unregulated — the lawful basis most sales intelligence relies on is legitimate interest, and legitimate interest requires a balancing test weighing your commercial benefit against the individual's reasonable expectations.

A person posting on a public professional network reasonably expects to be read. Whether they reasonably expect their likes to be tracked across weeks and scored for buying intent is a genuine question, and it is yours to answer.

The practical implications are ordinary rather than alarming: know your lawful basis, be able to state it, honour objections, and do not pretend a signal-triggered message arrived by coincidence. Data enrichment platforms such as Clay sit in the same regulatory position, and the same questions apply to all of them.

Are Social Signals Better Than Cold Email?

Almost certainly yes, and it is worth being precise about the mechanism rather than accepting the framing.

A cold email fails because it is irrelevant at the moment it arrives. Nothing about the recipient's situation prompted it, so the base rate of it landing during a buying window is roughly the base rate of buying windows — which is very low. That is what a 0.7 percent reply rate describes.

A signal changes the timing rather than the message. Someone complaining that their enrichment data is stale has just told the market they are unhappy with a vendor, and a message that week meets a real problem instead of interrupting an unrelated day.

The improvement is almost entirely about when, not about how clever the copy is.

There is a failure mode worth naming, because it is common and self-defeating. A message that references someone's post in a way that reveals automated surveillance reads worse than a generic one — the person understands they were monitored, not noticed. The distinction between contextual relevance and demonstrated tracking is a copy problem, and no signal platform can solve it for you. Platforms like Artisan take the signal and run the outreach as well, which concentrates both the leverage and the risk in one place.

• Establish your lawful basis for monitoring before you monitor.
• Act on signals within days — most decay within a week.
• Reference the problem, not the fact that you were watching.
• Backtest scoring before it triggers any outreach.
• Honour objections quickly and keep the record of doing so.

Sixteen Signal Types Across Eleven Platforms

The signal library is where the product is strongest, because it is specific enough to evaluate: changed role, changed company, competitor engagement, liked competitor content, posted about a tracked topic, started hiring, expansion into a new location, influence on a topic, and a buying-window signal combining topics and roles.

Those differ enormously in quality, and treating them as one category is the main way teams waste this kind of tool.

A role change is the strongest signal in business-to-business selling and always has been. A new leader has budget, a mandate and a reason to replace what their predecessor chose — and a short window in which they are actively looking.

Started hiring is nearly as good, because a company opening six roles in a function has just declared where it is investing.

Liking a competitor's post is at the other end. It might mean interest, or politeness, or a passing glance while scrolling. Signals like that are only useful in combination, which is what the buying-window signal is for — and combining weak signals is the right response to their weakness. Monitor types cover profile watching, Boolean searches and engagement capture, at cadences from twelve-hourly to monthly, which matters because signal value decays fast.

Replay, Backtest And An Auditable Trail

Two features here are rare enough to be the reason to choose this over an alternative: replay and backtest, described as running any workflow against historical signals to tune scoring before you ship, and an outputs table recording every action Trigify ever took, queryable and exportable.

Backtesting is standard practice in trading and almost unheard of in sales tooling, and its absence elsewhere is why so much signal-based outreach is configured on instinct.

Without it you write scoring rules, point them at live signals, and discover their quality by observing how prospects react — which means learning at the cost of your reputation with real people. Running the same rules against three months of history costs nothing and tells you what would have fired.

The outputs table matters for a different reason, and it connects back to the earlier section. A complete record of every action taken is exactly what you need to answer a subject access request, demonstrate a lawful basis, or investigate a complaint.

It is presented as an analytics feature and it is also a compliance asset, which is worth recognising when the record is asked for. The Jarvis co-pilot configuring monitors and workflows from plain English is the practical on-ramp, since the alternative is a workflow canvas most sales teams would not complete. Conversation analysis platforms such as Salesken work the other end of the same pipeline, once the conversation exists.

Using Signals Without Being Creepy

The line between well-timed and unsettling is narrow, and crossing it costs more than the meeting was worth.

This order stays on the right side of it.

1. Document your lawful basis for monitoring before configuring anything.
2. Start with role changes and hiring — the strongest signals available.
3. Backtest your scoring against historical signals before it triggers outreach.
4. Write messages that reference the problem, never the surveillance.
5. Act within days, since most signals are worthless within a week.
6. Keep the outputs record, and honour objections promptly when they arrive.