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Promotion Intelligence: Simulate a campaign's impact before you launch it

Which part of your campaign budget really drives incremental sales? See it before you decide.

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Customer browsing clothing racks in a bright boutique
INSIDE THE PRODUCT

A promotion scenario on a single screen

Choose the store and product, set the discount rate and duration, and the screen shows baseline and promoted sales, revenue, remaining stock and net profit impact side by side.

Promotion Intelligence simulation screen: store, product, discount and date selection, forecast sales chart and a comparison of baseline and promoted KPIs
Sample scenario screenForecast sales, stock and profitability impact of a 21-day catalog promotion with a 20% discount. All figures on the screen are examples.
THE QUESTION

Where does the campaign budget go?

Dozens of campaigns every month, each with its own team and its own targets.

Which promotion actually turned into sales? Which customer segment responded? Was there cannibalization?

Excel reports can't answer these questions. Promotion Intelligence focuses on this gap so campaign decisions can be based on data: we don't deliver a model, we deliver a decision screen.

CAPABILITIES

Five capabilities, one decision screen

Data-driven support for every stage of a promotion decision, from campaign ROI to budget allocation.

Campaign return (ROI)Roadmap

To measure a campaign's net effect and return, meaning the real sales uplift.

Segment responseRoadmap

To see how each customer group responds to a campaign.

CannibalizationRoadmap

To track which products take sales from others, with a category impact map.

Campaign sales forecastRoadmap

To forecast the sales of an upcoming campaign with a LightGBM-based machine learning model.

Budget allocationRoadmap

To evaluate how the promotion budget should be allocated by category and segment.

ROADMAP

From forecast to recommendation: the roadmap

The predictive and prescriptive layers are on the roadmap; we clarify their status together in the demo meeting.

Analyst reviewing forecast charts on several screens
Predictive

Forecasting layer (Predictive)

Roadmap

A layer designed to measure campaign impact and forecast sales before a campaign.

  • Campaign impact measurement and ROI forecasting
  • Segment response
  • Cannibalization analysis
Team around a table reviewing campaign scenarios together
Prescriptive

Recommendation engine (Prescriptive)

Roadmap

An engine designed to answer “Which campaign, for which product, for which segment, and when?” before the campaign period, without you having to ask.

Recommendations become input for campaign design; your teams make the decisions and carry them out.

WITH TRACTA

With Tracta as a source, market signals enter the model too

Promotion Intelligence works with your own sales history. When it draws on Tracta, competitor moves, signals from popular marketplaces and seasonal patterns also become part of your campaign decision.

Competitor movesMarketplace signalsSeasonal patterns
Explore TractaTracta data API
WHO IT'S FOR

For the teams that make promotion decisions

The teams that plan and run campaigns and track their budgets all work from the same screen.

Trade marketing teams

Campaign planning and measurement.

Category managers

Promotion strategy by product and category.

Supplier relations

Managing joint promotion investment.

Finance and controlling

Return on the promotion budget.

REFERENCES

D-CAT in retail

Examples of the business intelligence and data warehouse projects we have delivered with our retail customers.

Retail · Caffè Nero Türkiye

Financial performance tracking for a coffee chain

Between January and August 2016, Micros sales data was combined with SAP ERP finance data; management tracks KPIs on a like-for-like basis.

Read the story
Retail · MOPAŞ

Faster supermarket chain reporting with ETL

Reports slowed down by heavy data flows now run faster on a reporting system built with the ETL solution D-CAT recommended. CIO Awards 2016.

Read the story
Retail · Unitim

A decision support system in accessories retail

Unitim, which operates the Accessorize stores, evaluates and visualizes the data in its existing database with SAP BusinessObjects and bases management decisions on these reports.

Read the story

All success stories

Frequently asked questions

Short answers to the questions we hear most often on this topic.

What data does the simulation use?

It works with your own sales history and campaign data. On the screen you choose the store and product and set the discount rate and duration. When it draws on Tracta, competitor moves, marketplace signals and seasonal patterns also enter the model.

How does it relate to Tracta?

Promotion Intelligence is the product in the Tracta family that focuses on campaign decisions. Tracta collects market signals; when Promotion Intelligence draws on Tracta, it adds those signals to the campaign simulation.

Who acts on the recommendations?

Your teams make the decisions and carry them out. Promotion Intelligence simulates the scenario and shows its impact; the recommendation engine (Prescriptive), designed to produce recommendations before the campaign period, is on the roadmap.

Which teams use it?

Trade marketing teams, category managers, supplier relations teams, and finance and controlling teams.

DEMO

Let the numbers speak for your promotions

Let's look at your questions on campaign ROI, segment response and cannibalization together, using a sample scenario.

Request a demoinfo@dcat.com.tr