With the data collection of promotion activities, outputting series of data cleansing, data mining and reports, KASP Promotion Assessment implements vertical and horizontal benchmarking based on the historical data.
Frequently Asked Questions:
We don't know whether a promotion is payout or not?
Does the promotion tend to be financially feasible before commitment to the promotion has been made?
What is the profitability of the promotional program in one customer versus another?
How effective the promotions are, i.e. which promotion worked or didn't?
Did the promotion increase volume and contribution or only volume?
What is the optimal price point to drive increased volume and contribution?
We don't know how to plan annul promotion?
What can be done to optimize promotions for the category?
……
Promotion Planning:
Planning maintenance
Provide visibility of the promotion plan and trade spends including evaluation of the efficiency and effectiveness of the committed funding.
Planning information share
Facilitate the coordination and synchronization of promotions across the whole organization including Sales, Marketing, Finance and the Supply Chain.
Promotion Evaluation:
Consistent evaluation model.
Promotion Assessment gives a view into promotion effectiveness.
Clear recommendation
Provide the information needed to refine strategies to capitalize on market opportunities or to adjust plans.
Extern data support
Ability use ex-factory data to automatically evaluate promotions on increment and investment buying.
Business benefits:
Increase the bang for buck of promotions.
Allocate trade spend where it delivers most benefit.
Ensure brand equity is maintained.
Shorten the period for authorization.
Reduce over-spending.
Optimize the business plan.
Identify promotions with highest return.
Avoid re-running inefficient promotions.
Manufacturers will know which products to promote, which geographies need more aggressive campaigns, and the anticipated growth from each.
Advanced visibility will reduce overspend immediately.
……
Architecture:
Front-end: web browser
Middle-end: J2SE
Back-end: Microsoft SQL Server
Development Platform:
Java
Java scripts
Microsoft SQL Server & Analysis Services
Target Customer:
FMCG and other manufactories trade marketing team
Implementation:
About 1 week


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