Sena reports financial performance in each market from real-world data.
Financial performance management is the monthly loop: measure actuals, compare to target, explain the gap, and act. Three properties of that loop concentrate the whole exercise on the first two steps.
Measurement is precise, and attribution is conversational. The pack states a shortfall to two decimal places, and the reason for it comes out of a review meeting, argued from whichever figures the participants brought.
The cycle closes, consolidates, reports, and then meets. By the time a market appears in a pack, it has moved on, so the action addresses a position that has already changed.
An annual target holds through four quarters while the conditions underneath it change. Performance against a stale target measures the target as much as the performance.
Sena reports the consumer position in each market on a weekly cycle, so the loop gains a cause and gains it early.
One shopper supplies both the purchase and the reason, so a shortfall lands with its cause.
The consumer signal captured this cycle, so a market reaches the pack while the position still holds.
Category movement per market, so a missed target separates from a mis-set one.
Financial performance management is the discipline of running a business against a committed financial number. Four steps repeat in a cycle: read the actuals, set them against the target, account for the gap, and act on it. Its output is a decision each period, over a report.
A performance pack carries four kinds of gap, and they need different actions.
Fewer units sold. Weak demand and absent stock produce the same line and call for opposite responses.
Realised price below plan. Discounting, mix and channel each produce it.
The units sold were the wrong ones. A shopper chose differently, for a reason.
The number was set wrong. Visible only against how the market itself moved.
The fourth is the one a pack rarely tests, because testing it needs category movement from outside the company.
| Output | What it settles | Where it goes wrong |
|---|---|---|
| Gap cause | Why the shortfall happened. | Argued in a review meeting. |
| Availability at sale | Whether stock was present. | Inferred from shipment records. |
| Category movement | Whether the market moved too. | Absent from internal sources. |
| Corrective response | What action would recover it. | Chosen from the loudest argument. |
Holding a target needs four collected inputs, refreshed each cycle in every market carrying one.
| Input | What it answers |
|---|---|
| Receipts | What was bought this cycle, and at what price. |
| Store captures | Whether the item was available to buy. |
| Geo-verified photos | The shelf as it stood, dated and placed. |
| Stated preference | Why the choice moved, and which action would win it back. |
The internal figures hold their existing home. Targets, actuals, price files, and the performance model connect through 250+ integrations, so a variance line and its cause report together.
Three questions sit outside the performance pack, and each one selects a different corrective action.
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.
The consumer read arrives on a weekly cycle with the market and capture week attached, which is what lets a commentary field carry evidence.
Availability, share, and category movement are separate, so the action matches the cause.
The free-text field carries a figure that opens onto the shoppers behind it.
Stated response measures how many shoppers a corrective action would move.
A performance loop built on targets and actuals can size any gap and explain it only through discussion. Sena captures real-world signals each cycle, from the shelf photographed in the market through to the shopper naming what would win the purchase back.
Selection and amount paid enter as one record each cycle, so a gap rests on real transactions.
Images from real outlets show whether stock was present, which splits a volume gap in two.
Signal arrives from the consumer network under explicit consent. A changed purchase is explained by whoever changed it.
Targets, actuals, price files, and the performance model connect over 250+ integrations, so a variance line and its cause sit together.
Market, week, and source shoppers ride on each figure, so a commentary claim survives a review challenge.
Prior period packs beside targets and actuals, scanned cycle by scanned cycle.
Four teams work the same loop, and each one needs a different part of the gap before it can act.
The monthly loop. Needs the gap cause, over commentary.
The corrective action. Needs the recovery sized ahead of committing.
The local number. Needs the market read at the market level.
The target itself. Needs category movement to test it against.
The same three-way split, run against whatever each industry is held to.
Share against category per market, with availability split out.
Occasion volume, weighed against the formats stocked.
Own-label switching, weighed against the recommendation given.
Product take-up, weighed against the target set for it.
One mechanism, refreshed each cycle in each market held to a number. Each step is documented, which is what carries a commentary claim through a performance review.
Purchase and the reason it moved come from one consumer, so gap and cause land together.
Photographs and category movement divide the gap into availability, share, and market, which selects the action.
The shoppers a corrective action would move are counted ahead of the action being taken.
Most performance loops measure the gap precisely and reason about its cause in a meeting. Sena supplies the cause as a measured figure.
| Capability area | Typical setup | Sena |
|---|---|---|
| Gap size | Measured to two decimals. | Unchanged, and now explained. |
| Gap cause | Argued from figures on hand. | Stated by the shoppers who moved. |
| A volume gap | One line, two possible causes. | Divided by shelf photographs. |
| Target validity | Assumed until year end. | Tested against category movement. |
| Cycle time | Monthly close, then a meeting. | Weekly consumer read. |
| Corrective action | Chosen from argument. | Sized by the stated response first. |
| Commentary | Free text. | A figure that opens onto its consumers. |
Three points in a performance loop where the pack states a size and leaves open a cause.
Establish whether the item was on the shelf, so demand and availability hold separate lines.
Read category movement per market, so a missed target separates from a mis-set one.
Measure how many shoppers a corrective price or pack action would move, ahead of committing to it.
A gap with its cause attached settles which action to take. The four decisions below are what a finance team runs around it.
Every finance decision Sena answers, in one place
Where the target comes from
Sets the committed number this loop runs against.
Explore financial planning and analysis 02The result against peers
Tests the performance this loop produced against the sector.
Explore financial benchmarking 03The measurement underneath
Supplies the measurement the loop reports each cycle.
Explore financial analytics 04Where the period lands
Reports where the period ends as the loop runs.
Explore financial forecastingThe walkthrough takes one variance line from a real performance pack, splits it into availability, share, and category movement in the market that produced it, and sizes one corrective action while the finance team watches.
Name the variance line and the market behind it, and we will split the gap and size the recovery.