See the patterns behind the answers.
Response counts tell you that people replied. Signals analytics tell you what the replies meant — by connecting what customers said to what they actually did next.
Start with what actually happened.
The fundamentals, reported clearly, with the customer context that a standalone survey tool cannot supply.
Response distribution
See how answers are spread across every question and answer choice.
Completion and abandonment
Find the question where people stop, and shorten or rewrite it.
Response trends over time
Watch how answers shift across weeks, seasons, and product launches.
Customer and order context
Read each response alongside who answered and what they had bought.
Then look for what it means.
Comparisons and connections across responses, customers, products, and outcomes.
Segment comparisons
Compare how first-time buyers, subscribers, and VIPs answer the same question.
Product affinity
See which declared goals and preferences line up with which products.
Purchase outcomes after a response
Connect what a customer said to what they actually did next.
AI-generated findings
Signals surfaces patterns worth a second look, including summaries of open text.
What a finding can look like.
An illustrative example of the kind of connection Signals analytics are designed to surface.
Illustrative example
Customers who identify “daily focus” as their main goal are 2.3× more likely to reorder Lion’s Mane within 45 days.
An insight that ends in a chart has not finished.
Signals suggests what to do with a pattern once it appears — the next question worth asking, the audience worth building, and the campaign worth sending.
Explore response intelligence- Suggested next questions based on what the current survey revealed.
- Suggested audiences built from the answers you are already collecting.
- Suggested campaigns that follow directly from a finding.
- Response exports when you want to analyze the data somewhere else.
We would rather be useful than impressive.
Analytics only help if you can trust them. Signals reports what your responses support and nothing more.
- Live analytics show only genuine calculated results from your own responses.
- Every example on this website is labelled as an example.
- Small response counts are what they are — Signals does not dress them up.
- Findings are a prompt to investigate, not a promise of causation.
Start learning directly from your customers.
Build your first survey, publish a Spark, and turn every response into usable customer intelligence.