Gro v2 - Spot signals, trigger outreach - turn posts into pipeline
Gro’s new Content Search + Social Signal Monitoring helps you find what your buyers are already talking about, identify the authors worth engaging, and then automatically monitor for new high-intent posts so you can respond the moment intent shows up (you see the post).
When a matching post appears, Gro can trigger your playbook instantly: alert you, comment, send a connection request, and draft/send email/message — all from one workflow. From content → to leads → to monitoring → to action.
Replies
What's the maximum number of monitors or saved searches a single workspace can have?
@eexlkuang_se Great question. As many as your credit allowance can handle
Is there a way to A/B test different message angles within Gro to see which resonates with a given signal type?
@josie_oy Great question! A/B testing isn't live yet, but it's high on our roadmap, being able to compare angles per signal type is exactly the kind of feedback loop we want to build in. For now, users typically run parallel campaigns with different message angles.
@nah_na Yes. In our Custom Guidelines field, you can paste in a few of your past messages as reference and instruct Gro to mirror that style, things like sentence length, opening style, and word choice. It's a simple way to get the voice closer to yours from day one.
Gro V2 feels like it brings structure by actually tracking intent where it’s happening. Curious to see how teams plug this into their outbound workflows over time.
Do you plan to add account-level signal aggregation — e.g., 'three people at this company all posted about X this month'?
@yan_labs_ Love this question. Today, signals are surfaced at the individual author level, but account-level aggregation is something we're actively designing, exactly the scenario you described ("multiple people at one company posting about the same topic in a given window"). It's a much stronger buying signal and pairs naturally with ABM workflows. Would love to keep you posted when it ships.
awesomeee!! congrats, looks great!
@madalina_barbu Thanks, pls give it a shot.
Congrats on the launch, Alexis! This sounds super useful. How accurate is the signal monitoringndo you ever get false positives?
@daniel_harris11 At the moment, we're focused on keywords and the mission is to reduce noise enough so that the signals are useful at scale. We weight signals (e.g. hiring, tech changes, engagement patterns) and look at combinations, not just single events for our scoring analysis.
Instead of just “X happened → notify you”, Gro is also constantly re-scoring accounts based on:
recency
frequency
ICP fit
Hey great stuff guys! Very helpful for us and I think for all small teams. While development gets all the love, sales matters the most in the end, and most are not that good at it 😬
@th_calafatidis Thanks so much! Totally agree, sales is often the difference between a great product getting adopted and a great product getting overlooked. Glad Gro can help level the playing field, especially for small teams who don't have a full sales org behind them.
It's awesome Alexis! Signals usually are to hard to get monitored and you're doing an excellent job on it. Wish you all the best here
@german_merlo1 Thank you! Appreciate the comment, please give it a shot and let us know how you fare.
To answer your question - right now I'm using F5Bot for Reddit keyword monitoring (tracking about 15 phrases related to my product's use case) and manual scrolling on LinkedIn/IH for intent signals. It works but it's slow and I definitely miss posts that would have been relevant.
The "monitor -> alert -> trigger action" flow is what I'm essentially doing manually. Curious how Gro handles the balance between catching real intent vs false positives - that's where most keyword monitoring breaks down for me. A post mentioning "translation" could be someone looking for a tool or someone complaining about Google Translate's grammar.
@nazarenko That’s a very real problem and honestly, what you described (F5Bot + manual scrolling) is exactly how most people start before it becomes unmanageable. You’ve already nailed the core issue: keyword monitoring breaks because it treats every mention = intent, when in reality most of it is just noise. Using F5Bot + LinkedIn manually gives you coverage, but not interpretation.
Gro balances this out with 1. context (i.e. surrounding phrases, role, company, type of sentence etc.) so it's closer to answering the question of "is this person likely to be in a buying mindset?", and 2. multi-signal layering, for example.
mentions “translation”
recently hired localization team
works in a scaling SaaS company
Much higher confidence vs just a random post.