The Manufacturers’ Pivotal Role in Shopper-Centric Category Management

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When it comes to driving the most value from rapidly expanding shopper-centric analytics, manufacturers and retailers would do best by sharing the front seat.

Leading CPG companies have been enhancing their analytical expertise for years, investing heavily in richer sources of shopper data and the talent required to decode it. Retailers, meanwhile, are leveraging their shopper insights in the quest for deeper intelligence and are rethinking their marketing and merchandising strategies to target their highest-value shoppers. Where the two can come together is in viewing the challenges ahead through the common lens of that individual shopper.

But before collaborating to push the boundaries of product-centric thinking, retailers and manufacturers must first achieve a meeting of the minds around common goals and the clearest routes for reaching them. Using these steps, CPG companies and retailers can transform data-driven intelligence into higher incremental sales, greater market share and more profitable shopper relationships.

Target a retailer’s highest-value segments
So how does a CPG company go to market with a portfolio of brands when retailers are segmenting and focusing on high-value shoppers? The answer is to first prioritize to make the work practical. Manufacturers should select a few of their best retail clients and work closely with them to leverage each of the retailer’s shopper data.

This is an opportunity for manufacturers to use their own analytical horsepower and become trusted advisors to their retail clients. Such a relationship could open doors to conversations they wouldn’t have been privy to before. For example, the expert analytics can help retailers identify essential behavior within a measured tier of best shoppers. These high-value shoppers may show a surprising lack of price-sensitivity in some categories, for instance.

Start from the shopper’s point of view
Manufacturers have excelled at analyzing shopper preferences and brand attributes – determining, for instance, whether people would be more inclined to buy microwavable entrées if they included different ethnic cuisines.

But more and more retailers are interested specifically in their most loyal and valuable shoppers, and what motivates them to buy one brand over another, or to shop the category at all. Using transaction-based data, a shopper-focused retailer can identify essential groups among its best shoppers, such as time-starved large families looking for quick and easy weekday meal solutions.

From there, close analysis of the basket will reveal which actions might motivate these shoppers to buy more, or how to attract other shoppers within this segment. This in turn may lead to product-specific decisions around cuisine and serving size.

Forge a stronger dialogue on strategy
In turn, manufacturers – by working alongside retail clients and incorporating their shopper data – can exert more influence on pricing decisions, accelerate the pace of assortment changes and raise the overall ROI on promotional spending.

To work together effectively, manufacturers and retailers have to overcome any past hesitation to share proprietary data. The question that counts is: “What are we going to do together to win those crucial shopper segments?” Unless that win is three-way, with the shopper front and center, everyone loses.

Move beyond traditional forecasting
But the full impact of their strategy only becomes clear when retailers and manufacturers focus on where it translates to tactics – in the aisles and on the shelves.

It is crucial to understand who is buying what and why. In the old world, a promotion for cheese would be keyed to the forecasted sales at each store. In the new world of shopper insights, a promotion might focus on specific cheese varieties and pair them with, say, gourmet olive oils – because that is what will most likely attract high-value shoppers.

So while classic tactical promotions may get immediate results, long-term benefits come from truly understanding how a retailer’s best prospects seek solutions, instead of simply buying products .

Use shopper-focused insights to fine-tune the ticket
Pricing is not the challenge it once was, thanks to software that enables retailers to calculate elasticity and correlate that information with cost and inventory to arrive at ideal pricing strategies.

Now these powerful analytical tools can be augmented with shopper-focused data to bring even more precision to forecasts and planning. For instance, analyses have shown that 20 percent to 50 percent of the items on a retailer’s shelves have no price sensitivity among best shoppers. If retailers index important value items simply to meet or beat competitors’ prices, they risk throwing away margin with no appreciable benefit. Manufacturers can weave the same understanding into their pricing recommendations.

Key product assortments to best meet shoppers’ needs
Determining product assortment, unlike pricing, has been a little less technical – retailers and manufacturers traditionally used simple ranking reports, often augmented by consumer research. But while this approach ensures popular or profitable items remain listed, it may not align product selection with the interests of high-value shoppers.

Instead, retailers and manufacturers should systematically scrutinize the baskets of best shoppers to understand which items are uniquely important to them.

For example, one manufacturer was asked to make recommendations on listing, de-listing and adding items in a grocery chain’s cereal assortment. In addition to reviewing sales and profit rankings, the manufacturer commissioned an analysis to determine which items were important to the retailer’s most important shoppers. It emerged that one cereal item, despite contributing a mere 0.2 percent to category sales, was in fact purchased by 80 percent of priority shoppers.

Pursue best shoppers across categories
That said, manufacturers and retailers should not limit their research within categories; they should target shoppers across them.

For example, a major retailer recently learned through a basket analysis that its best shoppers’ stock-up trips typically included soup, canned vegetables and wine. So the grocer merchandised all three together in a “stock-up-and-save” promotional event – with great success. The learning: If someone in the valuable time-starved segment has to walk all over the store to put together a meal, she may choose instead to walk straight out the door – dialing for a pizza on her smart phone as she goes.

The same logic applies to manufacturers. If the data points to cross-category behavior, the manufacturer may be able to say, “Look, when you run a cross-promotion featuring our product, the analysis shows that you don’t have to discount those complementary items. So you gain margin.”

Bring new precision to special-event promotions
Focusing on the shopper and not the category changes the game at every level, right down to deciding whether a promotion should go on the front of the weekly flyer, or whether a featured price should be $2.99 in one store and $3.49 in another.

To build an effective promotion, manufacturers need to identify what kinds of programs have worked most effectively with priority shoppers in the past – not just one-time cherry-picking, but driving significant behavior changes that can be sustained even with less-frequent promotions.

By pinpointing these behavioral differences among regions and locations, retailers and manufacturers can combine categories in a way that is meaningful to priority shoppers. And with the right desktop tools, they can track and adjust the effectiveness of their programs in real time.

Use shopper intelligence to optimize trade spending
For manufacturers, a shopper-focused strategy also opens up new opportunities to better allocate trade spending. Historically, manufacturers and retailers have negotiated multi-layered agreements that combine, for example, promotional co-op funding, over-and-above merchandising charges, exclusive-listing fees and one-time lump sums for achieving specific sales targets. These various spending buckets can be difficult to assess in terms of overall return on investment.

In the shopper-focused world, it’s possible to match trade funds to sales volume in key segments. So promotional investments can be reallocated to those items that priority shoppers really care about. For instance, if it is possible to reach sales goals for laundry detergent with fewer but more targeted promotions, the savings can be directed to, say, sun-care products.

Redefine manufacturer-retailer partnerships
After all, at the end of the day shoppers don’t think about categories any more than they follow planograms. They make lists of things they need, identify problems they want to solve, walk into stores and become inspired…they are seeking solutions.

Smart retailers recognize that manufacturers can be incredibly valuable allies as they lead this new drive to see the world as shoppers see it. And by rising above the old wariness around brand-centric biases, both sides share the same ultimate goal: to grow the category, increase overall sales and forge valuable, long-term shopper relationships.

••••

There is general acknowledgment that the old ways of marketing will not suffice anymore. As retailers and manufacturers work together to meet new marketplace realities, they’ve begun redefining their own partnerships. Together, they’re finding new ways of aligning brand strategy with retail strategy to realize exponential gains – all thanks to a simple but monumental change in deciding which question comes first.

For retailers, the question was: “What do the weekly sales reports show?” And for manufacturers: “What does the research suggest?”

Now they can ask together, “What will get the attention of the shoppers who matter most – to both of us?”

By Brian Ross, General Manager, Precima,
and Win Weber, Chairman and CEO of Winston Weber & Associates Inc.

Brian Ross
Precima
Brian Ross is President of Precima, a shopper-driven insight and strategy firm operated by LoyaltyOne.

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