General Questions

Does this also work in foodservice/hospitality?

Yes! We use special methods for B2B clients. We combine wholesaler sell-out data with chef feedback and repeat purchase behavior.

Isn’t this too expensive for smaller brands?

We offer different packages. By using external data, you gain much deeper insights for relatively little extra cost.

Promotional Analysis & Data Management

How long before I see results?

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.

Where do you get that external data from?

From retailers (sell-out figures), market research agencies (shopper data), and our own FOCUS database with promotion insights from 1,700+ companies.

How do we switch from Excel to your system?

Step by step. We start with your existing data and gradually expand. No big upheaval — just continuous improvement.

How do I know if my promotions are working?

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.

How do we move from ad-hoc Excel analyses to a systematic promotion approach?

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.

How can we ensure structural evaluation of promotions, including break-even analysis?

A fixed promotion evaluation cycle, linked to clear KPIs, supports continuous improvement of the promotion strategy.

Why do we only have sell-in data, and how can we improve data management?

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.

How can we make sell-out data centrally available, despite different POS systems at franchisees?

We collect sell-out data via retailer partnerships or external data providers. Centralized storage simplifies analysis. FOCUS and Promology can support you with this.

How do we gain up-to-date, benchmarked insights per retailer and category?

We combine internal results with external market benchmarks to obtain current insights into promotional performance.

Market Overview & Competition

How can we gain better visibility into competitor promotions at wholesalers?

We use market data sources like FOCUS to gain insight into competitors’ promotional behavior.

Do you share my data with competitors?

No, never. We work under NDAs and treat all data confidentially. External benchmarks are always anonymized.

How can we structurally collect and analyze competitor promotional flyers?

We gather competitor information via external sources such as FOCUS and YOUGov, and analyze it systematically to monitor trends and promotional behavior.

How can we gain control over price pressure and promotion intensity in a rapidly changing market?

Promotional pricing is monitored via POS or field data. Deviations are detected through monitoring tools.

When and how deep do our competitors promote, and how can we respond effectively?

We use market data sources like FOCUS to gain insight into competitors’ promotional timing and depth.

Strategic Decision-Making

How do we build a centralized promotion history to improve annual planning?

A good analysis considers baseline sales, uplift, margin, and promotion costs to form a complete picture.

Can you help with annual retailer meetings too?

Absolutely. We’ll prepare you with strong, data-backed arguments. Many clients secure better deals thanks to our support.

How do we use data to prepare and internally validate annual retailer meetings?

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.

How do we effectively differentiate per channel (franchise, retail, specialty store, wholesaler, hardware store) and target audience?

Through analyses of customer and store data, we gain insight into who benefits from the promotion and how often.

How do we expand our target strategy from traditional to new audiences?

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.

How do we support our negotiation position with customers and wholesalers using data?

We combine historical data with external factors (such as seasonality or competition) to make realistic projections.

ROI & Performance

How do we gain insight into the ROI of promotions per channel and target audience?

By measuring promotional effects at the product level, we can better steer category or brand growth.

Which promotions perform best, and how do we optimize them?

Using econometric models, we predict the expected volume, revenue, and margin of a planned promotion.

How do we measure whether promotions contribute to brand awareness and brand objectives?

We use scenario analyses to select the most profitable promotion type in advance.

How do we improve promotion effectiveness going into the new year?

We enhance effectiveness by analyzing individual promotions, benchmarking them, and linking them to clear objectives.

Operational Challenges

What if my data is messy or incomplete?

No problem. We’ll help you clean and structure your data first. That’s often the first step toward better results.

What if retailers don’t want to share data?

We have our own data sources and strong relationships. Plus, we help you negotiate better data agreements during annual meetings.

How do we convince wholesalers to break down data by category and volume?

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.

How do we deal with non-compete clauses that restrict brand distribution?

To make reliable forecasts, we ensure data quality, up-to-date inputs, and model validation. NDAs are signed with clients.

How do we make brand and shopper campaigns more strategic and future-proof?

By aligning campaigns with clear brand objectives and shopper insights, we increase both relevance and long-term impact.