Sena reports recorded purchases from real consumers in each market and the stated reason behind it, from the shelf through to consumption.
Every team studying consumers works from some mix of stated intention and recorded action. The two disagree often, and three specific gaps open when a decision rests on the wrong one.
Asked in advance, people describe the choice they intend to make. At the shelf, price, availability, and routine intervene. The gap between the two is where most planning goes wrong.
A transaction record shows a product left a shelf. It stays silent on the occasion, the alternative that is lost, and whether the product got used.
A pattern read in the home market travels outward as a general truth about the category. Purchase drivers differ sharply by country, and the difference is invisible in an aggregate.
Sena is a decision AI with access to real-world data. It records what consumers in each market bought, what they weighed against it, and what they cited as the reason, then reports the three together by market and traces each conclusion to its source.
Sena follows the category activity a consumer records, from the moment of choice through to use, so the analysis covers what happened after the transaction.
Sena collects the stated reason directly from the consumer who made the purchase, under explicit consent, so motive and action come from one source.
Sena runs the analysis per market, so a country where the drivers reverse arrives as its own result.
The method is stable. Its usefulness depends on which signal sits at the center: what people said they would do or what they recorded doing. Sena runs the analysis on recorded activity and attaches the stated reason.
16.0 points overstated. A plan anchored fully on intention sizes this option as if 42 percent of the category chose it. Recorded purchase says 26.
| Layer | What it captures | The question it answers |
|---|---|---|
| Action | Recorded purchase, frequency, repertoire, repeat | What happened? |
| Alternative | The competing product was weighed and rejected. | Who lost, and by how much |
| Occasion | Where, when, and for what the category was bought | Which moment does the product win? |
| Motive | The stated priority behind the choice | Why it happened, and what would change it |
Most setups reach the first layer well and the fourth by asking afterward. The second and third change the message, and both need collection at the moment of choice.
One category boundary and one market per analysis. Drivers differ enough by country that an aggregate describes its own market.
Anchor on what consumers recorded buying, then work outward to motive. Anchoring on stated intention imports the intention gap into every conclusion that follows.
Record what the consumer weighed and rejected. A purchase that leaves the rejected option unrecorded carries little competitive read.
Collect the stated reason from the person who made the purchase, close to the moment. Reasons reconstructed later fit the choice already made.
Digital consumer behavior analysis reads the trail a category leaves online: searches, page paths, cart events and reviews. It is precise about the part of the decision that happens on a screen, and thin on the rest of it in categories bought in store.
The gap sits at the shelf, where the trail ends and the choice gets made, so that moment has to be captured at source, past any backward inference from a click.
A consumer activity report is the artifact: a periodic document that lays out patterns, drivers, and shifts. Its weakness is timing, because the reason a category moved is most useful while the movement is underway.
Once the same material answers a question directly, the periodic document changes role, from the source to the minutes.
Real people share what they buy and prefer, under explicit consent. Sena captures it directly at the source, so every figure traces back to its source whenever a number comes under question.
Sena answers questions about consumer activity from zero-party data. It names the driver, the market, and the segment and attaches the reasoning and the source records to the answer.
Sena records the product a consumer weighed and rejected, so every purchase carries a competitive read.
Sena holds stated priority beside recorded purchase for the same consumers, so the gap becomes a measurable result.
Every result traces to the consumers, the market, and the date behind it, with geo-verified capture where applicable.
A statement about why a market moved is only as defensible as the records under it. Sena produces every result on this page from real-world data captured when the question needs it, from the consumer signal at the source through to the market, the date, and the source behind every figure.
Records the purchases a consumer made and the order in which they made them. That activity is the subject of the analysis, drawn from the people making the category decision. Each recorded purchase comes from a person who chose to share it. Every stated motive comes from a person who agreed to share what they buy and prefer.
Reads the products present at the moment of choice from images captured in real stores, so the alternative a consumer weighed gets recorded with the one they took.
Brings the team's own campaign, sales, and CRM data in through existing integrations, including Salesforce and HubSpot, so market activity reads alongside own sales for the same period.
Turns scattered consumer decks, exports, and spreadsheets into one connected database, so a current pattern sits on the same trend line as every study already filed.
Four teams read the same pattern, and each one needs a different cut of it before they can act.
Owns the claim and needs the motive consumers stated, ahead of the one assumed for them.
Owns spend and needs to know which occasion converts before funding a channel.
Owns the product story and needs the alternative that was lost and the attribute that drove the decision.
Owns the explanation and needs each driver traceable to the underlying records.
The same collection, read against the decision each category actually makes.
Read purchase, alternative, and occasion together, market by market, where the choice happens in store.
Understand which products consumers weighed and what decided the switch across regions.
Separate the upgrade motive from the churn motive before either reaches the numbers.
Find the attribute that decided a purchase, and check whether the product leads on it.
One mechanism, applied per market and per category. Each step is documented, which is what keeps a driver defensible.
Real contributors record what they bought, what they weighed, and why, under explicit consent, in the markets under review.
Sena attributes each record to the category, the occasion, and the segment, and dates it.
The drivers' reports are ranked per market, with the stated reason and the rejected alternative attached to each one.
Most setups start from what consumers say they will do and reason toward what they did. Sena starts from what they recorded doing. The table below holds the differences that show up in the analysis.
| Capability area | Current approach | Sena |
|---|---|---|
| The anchor signal | Stated intention gathered before purchase. | Recorded purchase, with stated motive attached to the same consumer. |
| The rejected alternative | Reconstructed afterward, if captured at all. | Recorded at the moment of choice, per occasion. |
| After the transaction | Coverage ends at purchase. | Consumption and repeat recorded on the same consumers. |
| Market coverage | Regional aggregates that blend markets with opposite drivers. | Each market is analyzed on its own pattern, with divergence named. |
| Timing | A periodic document describing a closed window. | A read collected per market on request, so the answer arrives during the movement. |
| Auditing a driver | A methodology section describing the approach. | Every driver traces back to the market, the date, and the source behind it. |
Three situations where knowing the reason behind a purchase changes the decision. All three draw on the same collection.
Read what the lapsed group bought instead, what they named as the reason, and whether consumption changed at all.
Compare the attribute the message leads with the attribute consumers ranked first in that market, and rewrite where they differ.
See which moment of use the category grows in and which competing product currently wins it.
Consumer analysis explains the purchase. The four decisions below are what teams ask when explaining the purchase.
Every marketing decision Sena supports, in one place
Preference, purchase, and consumption read together
This page explains one purchase pattern. Consumer intelligence provides a standing picture of people in the category, per market.
Explore consumer intelligence 02Segments built from what people bought
An explanation applies to a group. Audience segmentation defines and sizes that group across the category, market by market.
Explore audience segmentation 03The tone behind the movement
Motive explains one purchase. Sentiment reads how the category as a whole is talking, which is where a motive spreads or fades.
Explore market sentiment analysis 04The demand for a launch
A launch rests on an assumed motive. This page supplies the recorded one, taken from consumers already buying the category.
Explore new product launchThe walkthrough reports what consumers in the markets named as recorded buying, what they weighed against it, and what they stated as the reason, and traces any driver back to its source while the team watches.
Tell us the category and the markets, and we will bring the analysis.