Sena sizes each move against what buyers in that market paid and what they say they would accept.
Revenue optimization finds the largest available gain and names the move that captures it. Three patterns leave the largest gain unfound.
The candidate moves get ordered in a room by whoever argues best. The ranking reflects seniority and recent memory, and the market sits beyond the conversation.
Each move takes its size from a category average applied across the countries in scope. Response differs by market, so an average sizes every move at the middle.
A move gets judged on the volume it would add. Whether that volume arrives at full price or at a discount decides whether it is a gain at all.
Sena is the decision AI with access to real-world data. It sizes each candidate move against what buyers across the category paid and the price those buyers say they accept, so the ranking comes from the market it applies to.
Price, pack, promotion, and mix each carry their own figure per market, so the list gets ordered on evidence.
Every projected gain reads against realized price, so added volume separates from added revenue.
Stated acceptance caps each move, so a projection ends at the point buyers move away.
Revenue optimization locates the largest gain still available and names the move that captures it. It runs across the same four levers a revenue plan uses, and it differs in that it ranks them where the plan sets them.
| Move | Where the gain comes from | What caps it |
|---|---|---|
| Price | Headroom between the current price and acceptance. | The switching point, per market. |
| Pack | Buyers moved onto a pack with better economics. | What the ladder makes sensible. |
| Promotion | Depth or frequency reduced with volume held. | The share that would have paid full. |
| Mix | Volume shifted toward higher-earning items. | Availability and the shelf. |
Most commercial teams already know their four moves. What they need is an ordered list with a figure against each one, and the ordering is where the value sits: a move ranked second and executed well returns less than the first move executed adequately. Three properties make a ranking usable.
The largest move in one country is frequently the third in another, and an averaged list fits every market badly.
Overlapping moves get netted, so the total is what the business would bank.
Each figure ends where buyers move away, so the projection carries a ceiling and the slope halts there.
Four collected inputs rank the moves, applied per market.
| Input | What it answers |
|---|---|
| Receipts | What buyers paid across the range and the category, dated. |
| Stated preference | The price buyers accept, which caps every price move. |
| Store captures | What each item listed for and what sat beside it. |
| Geo-verified photos | Price and facing where the volume sits, dated. |
Three questions sit outside the plan, and each one reorders the list. A single ranking averages the markets each move belongs to. Two projections against the same buyer add to less than their sum.
A move missing a ceiling projects a slope, and the slope halts at a price buyers refuse.
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.
Recorded purchase and stated acceptance arrive from the same buyers, and every figure carries the market and the day.
Each market gets its own ranking, since the largest move moves between countries.
Overlapping moves get combined, so the total is the figure the business would bank.
Every projection ends at stated acceptance, so a gain carries a ceiling.
A revenue plan is a ranked list, and the evidence for the order sits beyond the business. Sena builds every figure from real-world signals captured when the question needs it, from the buyer naming the price they accept through to the receipt showing what they took.
Records what buyers paid across the range and the category, so a projected gain reads against realized price.
Reads price and facing off images captured in real outlets, so a mix move gets checked against what the shelf allows.
Signal arrives from the consumer network under explicit consent. The ceiling on a price move comes from the buyer who sets it.
Volume history, cost records, promotional calendars, and listing data join over 250+ integrations, so each move carries margin alongside volume.
Every figure holds its market and its capture date, so a ranked move opens back onto the buyers behind it.
Past plans, promotional calendars, and volume histories, covering every cycle the range has been scanned in.
Four teams read the same ranked list, and each one needs a different cut of it before they can act.
The ranked list. Needs each move sized per market and netted against the others.
The plan. Needs the largest move named, with a figure and a ceiling.
The projection. Needs volume gains read against realized price.
Promotional depth. Needs the share of discounted volume that would have paid full.
The same ranking, run against the levers each category actually has.
Which of price, pack, promotion, and mix returns most, per market.
Which tier or bundle change returns most against the accepted price.
Which pack or claim change returns most at the counter.
Which tier or term change returns most before subscribers move down.
One mechanism, applied per market and per category. Each step is documented, which is what carries a ranked plan through a commercial review.
Each candidate move gets a figure from what buyers paid and what they say they accept, per market.
Sena combines moves that reach the same buyers, so overlapping projections avoid double counting.
Every figure ends at stated acceptance, so a projection carries a ceiling and the point it reaches it.
Most revenue plans rank their moves in a room and size them from internal averages, which produces an ordered list whose order comes from the room. Sena sizes each move where it would run.
| Capability area | Typical setup | Sena |
|---|---|---|
| The ranking | Argued, then agreed. | Sized from recorded purchase, per market. |
| Market resolution | One order for the business. | An order per market, since the largest move moves. |
| Overlap | Projections added together. | Netted where moves reach the same buyers. |
| The ceiling | A slope with a growth assumption. | Stated acceptance, with the switching point. |
| Promotional gains | Judged on volume moved. | Split by who the discount moved. |
| Margin | Reconciled afterward. | Carried on each move, with the underlying records held by the provider. |
| Evidence in a review | A ranked list and a rationale. | Open any figure onto the buyers behind it. |
Three situations where a sized ranking changes the plan.
Take the four moves on the table and rank them on measured gain, market by market, before the plan is committed.
Find the share of discounted volume that would have paid full price, and size a reduction in depth against it.
Read which buyers would move to a higher-earning item and what would move them, before the range is reworked.
Revenue optimization ranks the moves. The four decisions below are what a revenue team asks around it.
Every revenue decision Sena answers, in one place
The four levers together
Sets the four levers, where this page ranks which of them to move next.
Explore revenue management 02The single price point
Executes the price move once this page has ranked it first.
Explore price optimization 03What the plan lands at
Projects the period once the ranked moves are chosen.
Explore revenue forecasting 04How a product earns
Sits one level above, deciding how the product charges before any move is ranked.
Explore monetization strategyThe walkthrough takes one range in one market, sizes each candidate move against recorded purchase and stated acceptance, and returns the ranked list while the team watches.
Tell us the range and the market, and we will size the moves.