Experimentation / CRO

Experimentation and Testing Programs acknowledge that the future is uncertain. These programs focus on getting better data to product and marketing teams to make better decisions.

Research & Strategy

We believe that research is an integral part of experimentation. Our research projects aim to identify optimization opportunities by uncovering what really matters to your website users and customers.

Data and Analytics

90% of the analytics setups we’ve seen are critically flawed. Our data analytics audit services give you the confidence to make better decisions with data you can trust.

Research method

Social Media Listening

Systematic monitoring of what people say about a brand, its competitors and its category across social platforms, forums and communities. It captures the unprompted voice of the market: the words people use, the complaints and praise they volunteer, and how the conversation shifts over time.

When to reach for it

Hear how the market talks about the brand and its competitors when nobody is asking.
Surface the vocabulary customers use for the category, to feed messaging and search work.
Watch how conversation volume and sentiment shift around a launch, rebrand or incident.
Find where the audience actually gathers, which for technical audiences is often forums and communities rather than mainstream platforms.

Strengths and limits

Pros

Unprompted and continuous, so there is no interviewer effect and no survey fatigue.

Covers competitors as easily as the brand itself.

Picks up shifts quickly, where structured research only catches them at the next wave.

Cons

The people who post are not a representative sample of the market, and loud voices skew the read.

Volume can be thin for niche and B2B categories, so weeks can pass without meaningful signal.

Sentiment classification is rough. Irony, jargon and mixed opinions get mislabelled.

Practical considerations

Where to listen

The right sources depend on the audience. Developer and technical audiences live in forums, communities and Q&A sites more than mainstream social platforms, so pick sources by where the buyers actually talk, not by what the tool covers best.

Baseline before judging

Raw mention counts mean little on their own. Track against a baseline period and against competitors so a change reads as signal rather than noise.

Common tools

Go deeper

Recipes that use this method

A method earns its value when its signal corroborates others. Here is where this one does its work.

Last updated

August 6, 2026