Promo Performance Analysis

Building a promotional strategy based on a multifactorial analysis of the effectiveness of the promotion for any period

Choose the promo analytics format that's right for you

Data analytics plays a crucial role in shaping effective marketing strategies and boosting sales.

Our advantages

Clar format

All data is provided in the Power BI dashboard format and supplemented with expert comments based on customer requests.

Calculate promotion period and dates

Experts will help determine the most successful period for launching advertising activity and conducting a promotion.

Evaluation of promotion effectiveness

We collect data on the entire segment of interest to the client and analyze when competitors are activated in a specific niche.

Discount depth and promotional price

Promotion analysis algorithms are capable of calculating exactly what discount to offer and whether it's worthwhile providing better terms when the product itself is already in high demand without a special price.

Using machine learning algorithms, promotion analysis examines sales figures, depth of discounts (shelf prices), duration of promotions, promotional periods, and frequency of promotions. Upon completion of the analysis, the system automatically calculates and provides the results.

IMPACT AND FACTOR ANALYSIS OF PROMOTIONS

Analysis of sales dynamics by the level of contribution of its components (category, geography, competitors, chains).

Analysis allows you to quickly determine the reasons for the growth/decline in sales month by month. The contribution of the following factors is determined:

Opening/closing of stores
Listings/Delisting
OSA/OOS Distribution Factor (presence and absence of goods on the shelf)
Price factor
Promo
Shelf sales

Result: The client receives transparent data, which really affects sales growth, and what wastes the budget.

GAP ANALYSIS OF PROMOTIONS

Helps assess the growth potential of categories and segments for launching new products, and select the most optimal range for listing in each specific chain.

Effects of implementation:

Using GAP analysis - help in choosing new SKUs, simplify negotiations with customers, focus on launching new products.
Factor analysis - increasing the efficiency of analysts, reducing the time for analysis with reporting.
Optimization of promotional campaigns - an increase in profit during the promotional period by an average of +12% with the same budget.

Promo performance analytics - why GRADUS?

Proprietary models and algorithms
Deep expertise in FMCG and retail
Integration with POS data, audit and panel sources
Emphasis on practical, business-oriented conclusions

Turning data into actions. This ensures that every promotion is justified and every sales outlet operates efficiently.