Frequently Asked Questions
Is your question not listed? Feel free to contact us. We’ll be happy to help you.
General Questions
Yes! We use special methods for B2B clients. We combine wholesaler sell-out data with chef feedback and repeat purchase behavior.
We offer different packages. By using external data, you gain much deeper insights for relatively little extra cost.
Promotional Analysis & Data Management
With our Starter Package, you’ll have your first insights within 1–3 days by combining your data. For structural improvements: typically 3–6 months.
From retailers (sell-out figures), market research agencies (shopper data), and our own FOCUS database with promotion insights from 1,700+ companies.
Step by step. We start with your existing data and gradually expand. No big upheaval — just continuous improvement.
Door te combineren wat jij verkocht hebt met wat er écht in de winkels gebeurt. Externe sell-out data laat zien of consumenten echt meer kopen of dat het alleen voorraadopbouw is.
By using automated dashboards and centralized data sources, manual work is reduced and analyses become more consistent. Standardizing workflows and KPIs within the organization also supports this transition.
A fixed promotion evaluation cycle, linked to clear KPIs, supports continuous improvement of the promotion strategy.
Sell-in data is often available faster. For a complete picture, we ideally combine it with sell-out data from retailers. This data is obtainable through retailers but often requires trade investment and should be addressed in annual retailer negotiations.
We collect sell-out data via retailer partnerships or external data providers. Centralized storage simplifies analysis. FOCUS and Promology can support you with this.
We combine internal results with external market benchmarks to obtain current insights into promotional performance.
Market Overview & Competition
We use market data sources like FOCUS to gain insight into competitors’ promotional behavior.
No, never. We work under NDAs and treat all data confidentially. External benchmarks are always anonymized.
We gather competitor information via external sources such as FOCUS and YOUGov, and analyze it systematically to monitor trends and promotional behavior.
Promotional pricing is monitored via POS or field data. Deviations are detected through monitoring tools.
We use market data sources like FOCUS to gain insight into competitors’ promotional timing and depth.
Strategic Decision-Making
A good analysis considers baseline sales, uplift, margin, and promotion costs to form a complete picture.
Absolutely. We’ll prepare you with strong, data-backed arguments. Many clients secure better deals thanks to our support.
We calculate the net effect by comparing uplift against extra costs such as purchase discounts or returns. Additionally, multiple promo KPIs help assess which promotions work, which need adjustment, and which should be discontinued.
Through analyses of customer and store data, we gain insight into who benefits from the promotion and how often.
We analyze repeat purchases and customer behavior after promotions to reveal long-term effects. We also examine consumer and shopper behavior, as well as the Consumer Decision Journey.
We combine historical data with external factors (such as seasonality or competition) to make realistic projections.
ROI & Performance
By measuring promotional effects at the product level, we can better steer category or brand growth.
Using econometric models, we predict the expected volume, revenue, and margin of a planned promotion.
We use scenario analyses to select the most profitable promotion type in advance.
We enhance effectiveness by analyzing individual promotions, benchmarking them, and linking them to clear objectives.
Operational Challenges
No problem. We’ll help you clean and structure your data first. That’s often the first step toward better results.
We have our own data sources and strong relationships. Plus, we help you negotiate better data agreements during annual meetings.
We focus not only on volume, but also on long-term value creation. We can support discussions with wholesalers and retailers regarding product and category classification.
To make reliable forecasts, we ensure data quality, up-to-date inputs, and model validation. NDAs are signed with clients.
By aligning campaigns with clear brand objectives and shopper insights, we increase both relevance and long-term impact.