Sena builds white space analysis from what buyers in each market bought and what they still want, naming the gaps wide enough to build for. Each gap carries the market, the segment and the date behind it.
Every category map has empty regions, and most of them stay empty for a reason. Three things decide whether a gap read holds, and each break sends capital toward space the market already rejected.
An empty square on a feature grid can mean unmet demand or an offer people declined. The grid alone treats both the same way.
A gap identified during a planning cycle can close while the plan is written. By launch the space holds two entrants.
A single reading names the space and ends there. One reading covers one moment, and the plan runs for three years.
Sena is the decision AI with access to real-world data. It compares what buyers in a market bought against what they say they still want, then reports where the two separate.
Sena counts what people in the category bought, market by market, and reports the segments carrying the volume.
Sena reads what the outlets in that market stocked and priced, so an unserved need reads against what was available to buy.
Every gap arrives with the buyers behind it, the market it sits in, and the period it was measured over.
A gap holds up on two things: evidence that buyers want the thing and evidence that the category has yet to give it to them.
Sena proves a gap from four collected inputs, two covering demand and two covering supply.
What buyers in that market bought, including the second choice they settled for.
What a buyer would choose given the option and what they would pay for it.
What the category stocked and charged in a real outlet, so absence is recorded.
Pack, price, and facing read off the image, so an empty space carries its evidence.
The team’s own numbers form a separate row. Board decks, planning models, point of sale, and exports connect through 250+ integrations, so a gap reads against the range the team already sells.
Whitespace analysis carries two meanings, and mixing them wastes a planning cycle.
Products a sales team has yet to sell into accounts it already holds. That question sits with a commercial team and runs off the CRM.
Demand in a market the category has yet to serve, and it needs signal from outside the company’s own records.
White space mapping places what buyers wanted beside what the category offered, on the same axes, for one market and one period.
Need, segment, and price point, drawn from stated preference in that market.
Every product the outlets there stocked, with price and pack captured.
Each one gets tested against recorded demand, so an empty square with buyers behind it separates from an empty square the market declined.
A white space strategy commits to a gap and states what would close the case. Sena reports the two figures that decide it.
Recorded spend by buyers currently settling for a second choice, per market.
The same gap re-measured each time the question runs, so a widening opening separates from one closing up.
Market gap analysis asks the same question one level down, and it returns a different object.
White space analysis names a space in the market and sizes it, which is where a strategy team decides to play. This page returns a space, sized and dated, per market.
Market gap analysis names the format, pack, price point, or attribute that fills the space, which is the product decision that follows. The specification that fills it has its own page in Product.
Real people share what they buy and prefer, under explicit consent. Sena captures it directly at the source, so every figure traces back to where it came from whenever a number comes under question.
Sena answers gap questions from consumer data collected under explicit consent, then names the opening worth building for.
Sena reads the gap in every market a team names, then reports them together, open in one market and closed in the next.
Sena expresses each gap in recorded spend by the buyers behind it, so an opening arrives with a figure a business case can carry.
Every gap opens to the outlet, the market, and the date. Any figure in a build case opens to the purchases underneath it.
One figure, set from five inputs, estimating the revenue sitting between the current position and the target.
| Segments | 5 |
|---|---|
| Markets | 18 |
| ARPU (USD) | 24 |
| Current penetration % | 4 |
| Target % | 7 |
Sena builds every figure on this page from real-world signals captured when the question needs it, from what buyers settled for, through to the dated capture showing what the outlet held that day.
Records what buyers in each market bought and what they paid, including the second choice taken when a first choice was absent.
Reads pack, price, and facing off images captured in real stores, so an empty region on the map rests on a dated capture.
Signal arrives from the consumer network under explicit consent. Every stated want comes from a person who agreed to share it.
Brings board decks, planning models, point of sale, and exports in through 250+ integrations, so a gap reads against the range the team already sells.
Each gap carries the market, the date, and the capture forward, so an opening opens to the demand behind it.
Sena draws scattered range files, exports, and spreadsheets into one place, so a gap answer reaches every record the team holds.
Four teams read the same opening, and each one needs a different cut of it before they can act.
Where the company plays next. Needs the gap sized in recorded spend before capital moves.
What gets built. Needs the demand behind an empty space, per market and per segment.
The business case. Needs gap durability tracked from one cycle to the next, so a case survives review.
The bet. Needs the evidence that the space is open and the reason it stayed open.
The same two-sided test, read in whatever each category leaves buyers working around.
The pack, price, or format buyers settle around because the nearest option on the shelf sits a tier away.
The product households want and currently assemble from two others.
The tariff shape subscribers ask for and work around today.
The feature buyers pay a premium elsewhere to reach.
One mechanism, applied per market and per category. Each step is documented, which is what keeps the gap defensible.
Real contributors share what they buy and pay under explicit consent in the markets named.
Sena sets what buyers wanted beside what the outlets there stocked, on the same period.
Each empty region reports in recorded spend, with the buyers behind it counted.
Most gap reads prove absence and assume appetite. Sena proves both halves from the same market.
| Capability area | Typical setup | Sena |
|---|---|---|
| What a gap rests on | An empty square on a feature grid, drawn from the range on offer. | Recorded purchase on one side and stated want on the other, from the same buyers. |
| Telling appetite from refusal | An empty space reads as opportunity by default. | An empty space tested against what buyers there already pay to work around. |
| Sizing the opening | Described in words, or modelled from category totals. | Expressed in recorded spend by the buyers currently settling. |
| Durability | One reading, carried through the build. | The same gap re-measured each cycle, so widening separates from closing. |
| Market granularity | One regional view, so a gap open in one country reads as open everywhere. | Each market read on its own, with the segment named. |
| Auditing the claim | A methodology annex, with the records held by the provider. | Any gap opens to the outlet, the market, and the date. |
| What comes back | A map with empty regions marked. | The opening worth building for, its size, and what would close it. |
Three situations where a market-level gap reading changes the decision on the table.
Read whether buyers there settle upward for want of a lower tier or skip the category at that price entirely.
Rank candidate additions by the recorded spend of buyers currently working around their absence.
Re-run the same opening each cycle before the build commits, so a closing space gets caught early.
A proved gap names where to play. The four decisions below are what a strategy team asks around it.
Every strategy decision Sena answers, in one place
What an opening is worth
Turns the buyers behind a gap into a category value the business case can carry.
Explore total addressable market 02Who left the space open
Places every player on price and presence, so an empty region reads against the players around it.
Explore competitive landscape analysis 03How to enter the space
Tests the position on the buyers currently settling, using stated preference beside recorded purchase.
Explore competitive positioning 04Which market holds the gap
Ranks candidate markets on recorded spend, so a gap gets built for where demand already sits.
Explore market entry strategyThe walkthrough maps what buyers there wanted against what the outlets held, sizes the openings, and shows the capture behind every empty region while the team watches.
Tell us the category and the markets, and we will prove both sides of the gap.