Decision memo
Shipped
Killing social listening
Why Buska stopped monitoring everything for everyone and became a lead-generation product.
The decision
We narrowed Buska from a general-purpose social listening tool to a single job: finding people who are publicly asking to buy what our customer sells. Same crawling, same scoring, one buyer instead of everyone.
01Context
Buska started as a monitoring tool for anyone with a keyword to watch: brands, artists, entrepreneurs, agencies. Technically that was the easy version to build, because every one of those users wants the same thing from the engine, which is to crawl a lot of platforms and return matches quickly. Commercially it was the hard version to sell, because none of them wanted it badly enough to pay much for it. A brand watching its own name is buying reassurance, and reassurance has a low ceiling.
The engine was not the problem. The buyer was.
02What the usage said
The accounts that kept coming back were not watching their own brand. They were watching their competitors, their category, and phrases that amount to someone raising a hand: asking for a recommendation, complaining about a tool they already pay for, describing a problem out loud. Those users were not doing reputation management. They were prospecting, by hand, with a monitoring tool.
That reframed the value. The same mention is worth a notification to a brand manager and a qualified lead to a sales team, and only one of those two is a line in somebody's budget.
03Options
Option
Keep the broad positioning, add more platforms
Why we did not take it
More coverage makes the tool better at a job nobody was paying much for. It is the comfortable option, because it is pure engineering and needs no argument with anyone.
Option
Serve both buyers with one product
Why we did not take it
The two need opposite defaults. Reputation wants every mention and no false negatives; sales wants almost none of them and no false positives. One product would have been mediocre at both.
Option
Move upmarket to enterprise social listening
Why we did not take it
A crowded category with incumbents, long sales cycles and procurement. Wrong fight for a small team with no sales org.
| Option | Why we did not take it |
|---|---|
| Keep the broad positioning, add more platforms | More coverage makes the tool better at a job nobody was paying much for. It is the comfortable option, because it is pure engineering and needs no argument with anyone. |
| Serve both buyers with one product | The two need opposite defaults. Reputation wants every mention and no false negatives; sales wants almost none of them and no false positives. One product would have been mediocre at both. |
| Move upmarket to enterprise social listening | A crowded category with incumbents, long sales cycles and procurement. Wrong fight for a small team with no sales org. |
04What we chose, and what we gave up
We committed to lead generation and rebuilt the product around intent rather than coverage. Every mention now gets scored 0 to 100 on how close it is to a buying decision, and the interface is a queue of people to contact rather than a feed of things that happened.
Deliberately not done
- No artist, creator or personal-brand segment, even though those users were the easiest to sign up and the loudest in support.
- No sentiment dashboard, no share-of-voice charts, no reporting exports. That is the furniture of social listening and it would have kept the old promise alive.
- No new platforms for a while. Adding sources is visible progress that does not move the only metric that mattered, which was whether a scored mention turned into a reply.
The cost was real. We lost users who had been with us from the start and who were not doing anything wrong; they simply were not the business.
05Result
€3k MRR within three months of the repositioning, from a segment that had a budget line for it. More importantly, the product finally had one sentence that a stranger could repeat: it finds the people already asking for what you sell.
06What I would do differently
- Decide earlier. The signal was in the usage data months before we acted on it; we were reading it as a curiosity rather than as an instruction.
- Tell the abandoned users directly instead of letting the product drift away from them. A clear email saying this is no longer for you would have been kinder and better for the brand than a slow decline in fit.
- Write the scoring rubric down before building it. We tuned intent scoring by feel for longer than we should have, which made it hard to say why a lead was a 70 rather than a 40.