Posts Tagged ‘cross sell’

Four Ways Retailers Can Boost Cross-Sell Results

Friday, January 9th, 2009

dk-photo.jpg Many retailers have learned how to leverage their data to help identify opportunities to increase their share-of-wallet by cross-selling additional products and services to established customers. Yet many retailers remain disappointed with the results of their cross-selling efforts to deepen and broaden their relationships with established customers. Response rates have remained flat or actually declined. Average order sizes remain unchanged or are actually decreasing. Tinkering with the current approach will no longer provide incremental improvements — 2009 is the year to build a new foundation for your cross-selling strategy, based on four cornerstone concepts:

1. In-Market Timing
Many retailers who have developed an ability to anticipate when customers are interested in buying have done so by building a standalone model, and then face the logistical challenges of working with multiple models to account for both choice and timing in any customer’s purchase decision. Your analytics department or vendor needs to have the capability to take both of these dimensions into consideration in one integrated modeling framework.

How could your cross-selling results improve if you were able to not only anticipate what each customer or segment is interested in, but when their interest will be highest? And to eliminate individual customers or segments from further solicitations of the same or similar offer when they are no longer interested? And do both while also taking into account your competitions’ plans?

2. Repeat-Purchaser Focus
Every retailer has a percentage of single-transaction customers, but few retailers design and implement specific strategies to increase their number of repeat customers. Aside from the data management issue of identifying a first-time customer (not an insignificant issue in itself for many retailers), the other challenge is deciding what exactly to offer these customers to encourage a second purchase. Even with the limited data that you will have on file for these customers, an analysis can identify at either the individual or segment level the specific second-purchase decisions with the highest potential acceptance.

3. Cross-Channel Offer Affinity

Every retailer knows the importance of delivering consistent messaging across customer channels, and many are in the process of making significant strides in this area. Yet, despite widespread consensus that cross-channel integration is critical, many retailers struggle to find and deploy practical strategies to infuse more cross-channel intelligence into their marketing programs. In many cases, the concept of “offer affinity” affords retailers an immediate opportunity to provide meaningful communications to customers across channels.

“Offer affinity” is based on a marketing analysis that finds a pattern of one type of purchase naturally following another. To use a home improvement example, a purchase of deck lumber would have an intuitive follow-up sale of deck stain, but an analysis of transaction data could point to other “missed purchase categories” such as joist brackets, and flashing.

Finding these “potential pairings” is something that in-store merchandising display departments have studied and reacted to for years, but now that kind of intelligence can inform both offline and online customer communications.

4. Marketing Agility
A decade after the launch of marketing automation systems to execute and measure direct marketing strategies, many retailers remain locked into campaign-centric views of their marketing programs. The demands of today’s marketplace require that retailers be able to respond to smaller and smaller segments of customers with increasingly targeted and timely offers.

Your database marketing platform needs to provide a cross-channel marketing management solution that provides a high degree of customization at either the individual customer or segment level. Such a platform will allow you to transform the way you think about marketing, breaking out of the traditional campaign-centric view to truly deliver customer-centric marketing.

David King is CEO of Fulcrum.

How Traffic Drivers, Profit Drivers and Loyalty Builders Work Together to Increase Profit Margins

Monday, December 22nd, 2008

pontusk_avail.jpg By drawing on the experience of traditional retail, and taking advantage of the unique opportunities presented by the Internet, e-retailers can look brightly at the future in spite of a gloomy economy.

Although Internet sales is one of the few retail channels that is actually growing, plenty of e-retailers are preparing to launch major Christmas sales despite the traditionally generous spirit of the season. The urge for posting flashing sales banners both here and there, of course, stems from the gloomy economic climate and grim prognosis for the future.

But in the face of an economic recession, it takes more than a traditional sale to continue to drive profits while still retaining current customers, as well as recruiting new ones. E-retailers have a unique advantage in the undertaking of this task, but to be successful they must learn from traditional strategies often applied by the brick-and-mortar grocery stores around the world. A typical example is when these stores divide their product ranges into the following categories: traffic drivers, profit drivers and loyalty builders. A traffic driver is a product that the store’s target audience needs to purchase often, and that it perceives as being expensive. Profit drivers are other products that are important to the target audience, but which they do not purchase as often and thus, are not as price sensitive towards. And finally, loyalty builders are the more luxury oriented consumption products.

The logic is simple. By offering a reduced price on the so-called traffic drivers, you can attract more customers to the store, and once they are there, they may as well pick up the profit drivers. During their visit, they will be exposed to the luxury goods—creating a positive experience and thus, urging the customer to revisit that particular store again in the future. This strategy allows the retailer to maximize customer acquisition, whilst only reducing the price of the traffic driving products.

E-retailers can also apply a more sophisticated version of this strategy. By allowing their most popular, top-selling products to act as traffic drivers by exposing them in sales campaigns, they can drive a maximum number of visitors to the site. This is where their advantage over the brick-and-mortar stores comes in. By using behavioral-based marketing, the e-retailer can control the extent to which the customer also picks up those important profit-driving products during his or her visit. By exposing the customer to products that one knows other visitors with similar behavior are interested in, and all the while applying business rules to regulate which products should be presented depending on profit margins, etc., the e-retailer can control exactly which products are exposed to each individual visitor—in real time.

Through the application of old and tested strategies combined with the latest technology, e-retailers can increase turnover and market share while not sacrificing any profit margins. And this during times when most physical stores are struggling with sales banners and red price tags.

Pontus Kristiansson is CEO and founder of Avail Intelligence.