An audience finding becomes useful when it changes something: the locations supported, the occasion selected, the message shown or the money allocated. Without that connection, insight can become another slide that leaves the plan untouched.
Every intelligence output should have a decision attached to it.
Write the decision first
Start with a question that has an owner and a consequence. Which locations need support? Which catchments deserve investigation? Which audience or occasion should the next creative address?
This narrows the data requirement. It also protects the team from treating every available signal as equally useful. Collect and analyse what can change the decision, with the appropriate permissions and safeguards.
Connect people with place
A demographic definition says little about whether someone can conveniently visit a specific store. Movement, catchment and visitation information can add context where suitable data is available.
Historical patterns can suggest a planning opportunity. They do not guarantee that a new campaign will produce the same behaviour. Use them to form a hypothesis and design the next measurement step.
What we are building with Intel
2plus3 Intel is our media, human movement and place intelligence platform in development. The ambition is to bring campaign exposure, mobility signals, place intelligence and available client data into a usable planning and measurement system.
The value should come from how the inputs are validated, interpreted and translated into action. Market coverage, methodology and data availability need to be established for each brief. A planned output should never be presented as an already operational capability.
Close the learning loop
Record the original hypothesis, the decision it changed and the result. Then compare what happened with what the team expected. That creates an accumulating basis for better judgement.
Useful reporting ends with a specific recommendation: support these locations, test this occasion, simplify this step or investigate this difference. The next brief should be able to inherit that learning.
The decision card
- Question: what do we need to decide?
- Evidence: what data is available and what are its limits?
- Interpretation: what does it suggest, and what else could explain it?
- Action: what will change, and who owns it?
- Learning: how will we know whether that decision helped?
Put it to work
Which locations deserve more support?
Measurement methods and product availability are agreed for each brief. Examples describe possible journeys; commercial outcomes require suitable evidence.