The Difference Between Intentional and Incidental Buying
Data can lie. A customer buys a bag of cat food. The Algorithm: "This customer owns a cat. Send them cat offers forever." The Reality: They were feeding their neighbour's cat for the weekend. They hate cats.
Intentional (The Lifestyle)
Repeated purchases of specific categories.
- Gluten-free bread (every week).
- Nappies (every month). These are Identity Signals. They define the customer's life.
Incidental (The Occasion)
One-off purchases of anomalous items.
- A bottle of cheap vodka and red cups (a party).
- A single pack of cigarettes (stressful week). These are Noise.
Cleaning the Signal
You need "Confirmation logic." Don't tag a customer as a "Pet Owner" after one purchase. Tag them as "Potential Pet Owner." After the second or third purchase, upgrade the tag to "Confirmed."
Sending irrelevant offers (cat food to a dog person) isn't just a waste of an email. It tells the customer: "You don't know me." It breaks the relationship.
Frequently Asked Questions
How do I distinguish between the two?
Look for repetition and clusters. If the cat food was bought with a litter tray, it's likely Intentional (New Owner). If it was bought alone on a Saturday night, it might be Incidental.
What is the risk of "Over-Personalisation"?
It gets creepy or annoying. If you assume too much from too little data, you alienate the user. "Algorithmic clumsiness" is a major cause of churn.
Should I ask the customer?
Yes! A simple "Do you have a pet?" survey question is worth 10,000 algorithmic guesses. Zero-Party Data (data they give you) is always better than First-Party Data (data you infer).