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What is trade promotion optimization?
Trade promotion optimization, or TPO, is the ability for a CPG
manufacturer to strategically optimize the trade spending across
their total product portfolio. Utilizing highly configurable constraints
focused on timing, frequency, product dependencies, forward buy impact, seasonality, pricing and pre-post promotion timing gaps,
the optimization model actually creates an optimal
corporate/customer promotional calendar that will generate the desired sales volume
and/or profit without overspending the trade budget. True trade promotion optimization models can also solve for ratio blends of
revenue, volume and/or profitability, as well as profit contribution
for both the manufacturer and retailer.
What is predictive analytics for trade promotion
management?
Predictive analytics is the ability to utilize historical data to
identify the things that influence sales, and apply that learning to
forecast future sales. The most common form of predictive analytics used by
CPG manufacturers in trade promotion is a promotional lift model. Utilizing historical weekly data, lift models can identify and
quantify the impact that discounted retail prices, different forms
of merchandizing, seasonality, and other retail conditions have on
weekly sales to the end consumer. Mathematically extracting this information in the form of coefficients allows the information to
be used to predict future results of events. Lift models are
typically a type of simulation. The user enters a specific retail price point,
type of merchandizing, and other information. The model returns a volume forecast or ‘promotional lift’ for that set of retail
conditions.
How is true TPO different from predictive analytics and
simulation?
Simulation simply provides the most likely outcome for a given
situation. Simulation is helpful for tactical questions, such as
“what will a $2.99 feature price generate with Ad & Display in the Kroger
Cincinnati KMA?” Predictive analytics requires accurate historical
data to extract the mathematical relationships that influence sales.
Trade Promotion Optimization is an approach that uses business
rules, constraints, and goals to mathematically create a trade
calendar that can meet all of these requirements. Optimization is helpful
for strategic questions, such as “what combination of promotional events ( feature price, frequency, timing, depth of deal
allowances, etc.) will meet or beat my revenue and/or profit goals
for the Kroger Cincinnati KMA and still stay within my trade promotion
budget?”
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