retail

Retailers enjoy great strategic advantage by virtue of being closer to the shopper than other players in the supply chain.

This provides them with the opportunity to gain thorough an understanding of shoppers’ needs and buying behavior, to serve them and to influence their behavior appropriately.

This is accomplished by a comprehensive and systematic analysis of the granular transaction data that retailers capture as part of their regular business activity in conjunction with loyalty programs.

Today’s retailers are large and complex entities that deal with ever changing product lines offered by suppliers from across the globe. Whether they operate on volume or margin, profitability and increase in turnover is their common goal. We identify hidden patterns in the large volume of transaction data, loyalty and promotion data to help them attain those goals.

AW helps its clients bridge the gap between marketing inputs and customer behavior. We use high-end predictive models to develop forward-looking, what-if scenarios and apply insights to strategic decision-making.

HOW CAN WE HELP?

null

Understand your customer

null

Optimize your budget

null

Improve sales operations

segmentation-icon-2

SEGMENTATION

Retailers have a strategic advantage since they are closest to the shoppers in the value chain. Analyzing transaction and loyalty program data will help uncover patterns in buying behavior.

OUR ANALYSIS HELPS YOU:

  • Identify and measure the loyalty of customers
  • Learn their purchasing patterns and how often they buy from you
  • Create optimal customer loyalty programs
  • Identify customers at risk of attrition
  • Discover cross-sell and up-sell opportunities
marketingmix

PERSONALIZED MARKETING

Mass offers often tend to overwhelm the shoppers. On the contrary, made-for-me offers are relevant to their needs and hence entice them to buy. Designing these offers requires a deep understanding of the buying behavior of the shoppers.

WE CAN HELP YOU:

  • Know who your shoppers are and what they buy
  • Identify patterns in their buying behavior
  • Design offers tailored to their need that can positively influence their behavior
  • Identify shoppers at risk and target them with right offer
  • Win back the ones you have lost
attrition

CUSTOMER ATTRITION (Churn Analysis)

It costs a lot more to acquire a new customer than to retain an existing one. Therefore, it is important to identify shoppers who are at risk. Targeting them with right offers at right time can prevent possible attrition.

WE CAN HELP YOU:

  • Identify early warning signals for likely attrition
  • Identify and profile shoppers at risk of attrition
  • Design suitable strategies for preventing attrition
marketbasket

MARKET BASKET ANALYSIS

The behavior of customers is encapsulated in their transactions. Analyzing these transactions unravel truths that can bring great benefits to the retailers.  Retailers are constantly looking for avenues to increase sales and reduce cost. Market Basket Analysis can help achieve both, and more.

THIS HELPS YOU:

  • Discover cross sell and up sell opportunities
  • Design cross promotional programs
  • Make decisions on promotion schemes for customer loyalty
  • Identify the most important product affinities that should influence store layout design
concept-testing-3

CONCEPT TESTING

You can run a campaign on a small scale and evaluate its effectiveness before rolling it out at the national level. We use an advanced algorithm to select the best test and control sets, and design the experiment to measure campaign effectiveness with high accuracy. Using this testing method, we help you choose better marketing strategies.

THIS HELPS YOU:

  • Improve campaign ROI
  • Increase impact across segments
  • Determine when to scale up your marketing campaign
forecast2

TRIP TYPE ANALYSIS

Shopping cart can reveal the trip type of the shopper. You can know what is driving them to your store and then design an effective strategy to drives sales.

WE CAN HELP YOU:

  • Uncover typical trip types of your shoppers
  • Define and profile each trip type
  • Design store strategy to drive sales
multi-channel-new

STORE CLUSTERING

Different stores cater to different shoppers and their different needs. Strategy should be devised that is relevant to each store. But given the number of stores a chain has, it often better to tag them into homogeneous segments and then formulate strategy for each segment.

WE CAN HELP YOU:

  • Understand characteristics and sales patterns of stores
  • Know shoppers and their buying behavior
  • Profile your stores
  • Design effective strategy for each store-group
marketingmix

MARKETING MIX OPTIMIZATION

AW uses econometric modeling to determine the efficiency and effectiveness of resources utilized through various marketing channels such as TV, print, coupons, in-store promotions etc. Our advanced optimization techniques quantify the optimum level of resource allocation for each of the marketing channels.

THIS HELPS YOU:

  • Quantify ROI on each marketing activity
  • Determine the effectiveness and efficiency of resources utilized on marketing
  • Allocate resources across a portfolio to maximize sales
  • Study the impact of competition on sales
  • Forecast based on simulated marketing allocation