Sena runs market sizing from what people in each market bought in the category and what they paid.
Most sizing work arrives as a number in a plan. Three things decide whether it holds, and each one shows up when the number has to carry a budget.
A size figure assembled from published totals inherits every assumption underneath them. The chain of sources runs several layers deep, and the original measurement sits at the bottom.
A single figure covers a region, so the country worth entering sits inside an average with several weaker ones.
A board asks what the estimate rests on. The answer describes a methodology, and the purchases underneath it stay out of reach.
Sena is the decision AI with access to real-world data. It counts what people in each market bought in the category and what they paid, so the size rests on purchases that were recorded.
Sena counts category purchases in each market on its own, so the country worth entering arrives as its own line.
Sena reports what buyers there paid alongside how many bought, so the value figure carries both inputs.
Every figure opens to the market, the date, and the capture behind it, so the number gets defended.
Market sizing estimates how much of a category a market represents. Two approaches dominate, and they differ on where the number starts.
Start from a published category total and narrow it by share.
Start from the buyers and multiply up: how many bought, how often, and at what price.
Bottom-up market sizing is the sounder and harder method because it needs a count of real buyers. That count is what Sena supplies.
Name what counts as the category in that market. The boundary decides the total, so it decides the answer.
One country, one period. A regional figure averages the market worth entering into the rest.
Sena counts recorded purchases in that market and captures what the category charges there across the same dates.
Volume against price gives the value figure. Run it per market, then rank the markets by what the count found.
The category size per market, with the purchases counted behind each figure. The price buyers paid there, dated to the capture. The segments inside the market carrying the volume.
Every figure open to the purchases counted behind it.
A market sized on counted purchase carries a budget more comfortably than one sized on inference. The market ranked first by count is where the entry plan starts.
A revision to the figure arrives with the change in purchase that caused it.
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 sizing questions from consumer data collected under explicit consent, then names the market worth entering.
Sena answers a sizing question across the markets a team names, and reconciles each market line before reporting it.
Sena places the counted purchase beside what buyers paid for the same window, so the value figure carries both inputs.
A size figure opens to the market; the date and the purchases are counted. A budget question resolves to the buyers counted, market by market.
One figure, set from four inputs, estimating the addressable market across the countries under consideration.
| Addressable buyers per segment | 1,200,000 |
|---|---|
| Markets | 18 |
| ARPU (USD) | 24 |
| Penetration % | 4 |
A sizing number rests on the count behind it. Sena builds every figure here from real-world signals, captured when the question needs it. It runs from people buying the category today through to the dated capture a team opens when the board asks where the number came from.
Counts what people in each market bought in the category and what they paid, so the size rests on recorded purchase.
Reads category presence off images captured in real stores, counting what is stocked and priced where the category sells.
Signal arrives from the consumer network under explicit consent. The denominator rests on people who agreed to share what they buy.
Brings the sell-out figures, CRM, and revenue data in through 250+ integrations, so own volume reads against the category count.
Each figure carries the market, the date, and the capture forward, so a size estimate opens to the market, the date, and the captures behind it.
Turns scattered sizing files, exports, and spreadsheets so an estimate draws on every record the team has filed.
Four teams read the same count, and each one needs a different cut of it before they can act.
The market case. Needs the category counted in each candidate before the plan sets.
The territory plan. Needs the market ranked by what buyers there bought.
The budget. Needs a size figure that opens to the market, the date, and the captures behind it.
The segment case. Needs: Which segment inside the market carries the volume?
The same count, read against the decision each category actually makes.
Category purchases are counted in-store, market by market, with the local price.
How many consumers in that region took up the product class, and on what terms?
Subscriber volume by market, counted from what people there pay.
Counted purchase set against stated intent for the same window.
One mechanism, applied per market and per category. Each step is documented, which is what keeps the estimate defensible.
Real contributors share what they buy and pay under explicit consent in the markets named.
Sena counts recorded category purchases in each market and captures the local price across the same dates.
Volume against price returns the size per market, with the capture behind every figure.
Most sizing narrows a published total. Sena counts purchases in that market first, then projects from a measured base.
| Capability area | Typical setup | Sena |
|---|---|---|
| Where the number starts | A published category total, narrowed by assumed share. | Purchase count among real buyers in that market, then projected from that measured base. |
| The price input | An average list price applied across the market. | What buyers there paid, captured, and dated. |
| Market granularity | A regional total covering several countries. | Each market counted on its own, with the segment named. |
| Cadence | A commissioned exercise, repeated when budget allows. | Collection runs against the category boundary and the market being sized. |
| Segment detail | Split by assumption after the total is set. | Counted inside the market, from what each segment bought. |
| Auditing a figure | A methodology document, with the source held by the provider. | Any size figure opens to the market, the date, and the captures it was counted from. |
Three situations where a counted size changes the decision on the table.
Count what buyers there already pay for the category, so the entry case rests on purchase.
Bring the purchases behind the estimate into the room so the figure holds under questioning.
Read which segment inside the market holds the volume, then aim the territory plan there.
Market sizing counts the category. The four decisions below are what a sales team asks around it.
Every sales decision Sena answers, in one place
The market that is ready first
Ranks the markets by recorded demand, using the same count as the size.
Explore gtm strategy 02Which outlets carry the line
Reads where the category sold, which is where the size was counted.
Explore channel reach 03Real demand under the number
Sets the forward number against the category size underneath it.
Explore sales forecasting 04Every rival, priced and dated
Names the players holding the category spend inside the size being estimated.
Explore competitive intelligenceThe walkthrough counts the category in the markets named and opens the purchases behind every figure while the team watches.
Tell us the category and the markets, and we will bring the count.