Sena runs a win-loss analysis against what the category and every rival did inside the window a deal ran.
Most teams already run a deal review. Three things decide whether the reason recorded against a closed deal holds, and each one shapes the conclusion the team acts on.
A rep enters the closed-lost code days after the fact, from one side of the deal. It records an impression of the reason, and the impression hardens into a pattern once it is counted.
A deal review reads the deal. What the category was doing while that deal ran sits in a separate read, so a loss inside a collapsing market reads the same as a loss inside a growing one.
A rival cut price, changed a pack, or shifted position mid-cycle. The deal record carries the outcome alone, and the move that produced it sits in the market record.
Sena is the decision AI with access to real-world data. It records what buyers in each market paid and chose while the deals ran, then sets own wins and losses beside that record.
Sena reports category demand, price movement, and competitor position for the exact window a deal ran in the market.
Sena dates what each rival charged and stocked inside the window, so a price move that shaped an outcome shows up as a move.
Every conclusion opens to the market, the date, and the capture behind it. The pattern the team acts on rests on a record.
A win/loss program is judged on whether its conclusions hold up a quarter later. Two things decide that: how tightly the window is drawn and whether anything outside the deal record entered the analysis.
Name the period each deal ran and the market it ran in. Every comparison that follows rests on holding both constant.
Sena counts what buyers in that market paid and chose across the same dates, so the result sits against measured conditions.
Sena reports what each rival charged, stocked, and claimed inside the window, captured in real time.
Own outcomes report against the market line, so a result driven by a category shift separates from a result driven by execution.
What buyers in that market paid across the deal window, line by line.
What each rival charged and stocked inside the window, dated to the capture.
Competitor price, pack, and promotion read off the image, dated inside the window.
What buyers in that market wanted, and the point at which they moved.
Outcome, stage history, and the stated reason: where sales win-loss analysis starts.
A win-loss analysis dashboard is worth what sits behind each figure. B2B win-loss analysis carries a longer cycle, so the window matters more. Own win rate reports per market, beside category demand for the same dates, with coded reasons set against the market record.
Any figure opens to the capture, the market, and the date it came from.
The output earns its place when it changes something. Sena names which markets carried the losses, what the category did there, and which rival moved inside the window. A loss run inside a soft category argues for coverage, and a loss run inside a rising one argues for execution.
A rival price move dated inside the window points the correction at price, and the messaging change rests on what buyers in that market said they wanted.
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 deal review questions from consumer data collected under explicit consent, then names what the market contributed.
Sena answers a deal question across the markets a team names, and reconciles each market line before reporting it.
Sena places own win rate beside the recorded purchase for the same window, so a run of results reads against the category it happened in.
Every conclusion opens to the market, the date, and the capture. A board question about a pattern lands on the window it was read from.
A deal review rests on the market record behind it. Sena builds every figure here from real-world signals, captured when the question needs it. It runs from what the category did that quarter through to the dated capture a team opens when a reason gets challenged.
Records what buyers in each market paid and chose while the deals ran, so a result reads against category movement.
Reads competitor price, pack, and promotion off images captured in real stores, dated inside the deal window.
Signal arrives from the consumer network under explicit consent. The market read rests on people who agreed to share what they buy and prefer.
Brings the closed deal, CRM, and revenue data in through 250+ integrations, so outcomes read against the market they closed in.
Each figure carries the market, the date, and the capture forward, so a stated reason opens to the capture behind it.
Turns scattered deal notes, exports, and spreadsheets so a review draws on every cycle the team has filed.
Four teams read the same record, and each one needs a different cut of it before they can act.
The program. Needs a market input the coded reasons can be tested against.
The correction. Needs the split between category movement and execution.
The message. Needs what buyers in that market said they wanted.
The rival picture. Needs each competitor move dated inside the deal window.
The same record, read against the decision each category actually makes.
Outcomes read against what the category sold in store across the same window.
Where product adoption moved in the region while the deals ran.
Whether subscriber movement in that market explains the run of results.
What buyers stated they wanted, set against what they went on to buy.
One mechanism covers every deal window and every market. Each step is documented, which is what keeps the reason defensible.
Real contributors share what they buy and pay under explicit consent in the markets named.
Sena reconstructs category demand and the competitor set for the exact window the deals ran in.
Own outcomes report against that market line, so the category share of the result arrives with its reasoning.
Most deal reviews read the deal record. Sena reads the market that deal ran inside.
| Capability area | Typical setup | Sena |
|---|---|---|
| Where the reason comes from | Coded fields and recollection captured after the close. | The market record for the window, set against the coded reason. |
| What sits beyond the deal | The category and the competitor set sit in a separate review. | Category demand and dated rival moves were reported for the same window. |
| Cadence | A program run quarterly, reported after the cycle closes. | Collection runs for the market and window named when the question needs it. |
| Market granularity | One win rate across the region. | Each deal window read against its own market. |
| Setting a stated reason in context | The stated reason is counted as given. | The coded reason sits beside what the category did in that market over the same window. |
| Auditing a conclusion | A program summary, with the underlying records held by the provider. | Any figure opens to the market, the date, and the capture. |
Three situations where reading a deal against its market changes the conclusion.
Split the result into what the category did and what the team did, market by market.
Check whether a rival price moved inside the window, before the discount policy changes.
Read what buyers in that market said they wanted, then move the claim that is working into the markets missing it.
Win/loss analysis explains the outcome. The four decisions below are what a sales team asks around it.
Every sales decision Sena answers, in one place
Every rival, priced and dated
Names the rival that moved while the deal ran and what changed in that market.
Explore competitive intelligence 02The price a rival holds today
Sets what every competitor charges in the market beside the price in the system, both dated.
Explore pricing intelligence 03What changed in the account's market?
Gives the rep the market context of a post-deal review already recorded.
Explore sales intelligence 04Real demand under the number
Sets the forward number against the outcomes already closed.
Explore sales forecastingThe walkthrough reconstructs the category and the competitor set for a real deal window in the markets named and traces every figure to the capture behind it while the team watches.
Tell us the deal window and the markets, and we will bring the record.