Kevin Hillstrom: MineThatData

Exploring How Customers Interact With Advertising, Products, Brands, and Channels, using Multichannel Forensics.

May 02, 2008

Multichannel Strategy: The Rural Customer

You manage a brand with three traditional channels (phone, web, stores).

Today, you meet to decide your strategy for customers who live in rural areas.

Here's what you know about your rural customers.
  • They purchase about two times per year.
  • They do not purchase in your stores, because they live more than a hundred miles from their closest store.
  • They are unlikely to purchase using your e-commerce channel.
  • The average age of the customer is 57 years old.
  • About a third of these customers volunteered an e-mail address to you. The e-mail address typically has a cable internet service provider suffix.
  • The merchandise these customers purchase is more conservative than your average e-commerce customer, much more conservative than your average store customer.
If you were building your marketing plan from scratch, not doing the four drops and eight remails you've executed for the past fifteen years, not doing the two e-mail blasts per week you've typically executed, not doing the retail direct mail campaigns you've executed for twenty years, describe the marketing plan you'd employ for this customer segment.

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October 30, 2007

How Online Advertising Channels Fit Together

Please click on the image to enlarge it.

E-commerce provides us with the richest array of information ever available to direct marketers. Let's use the Multichannel Forensics framework to explore the interaction between advertising and customer purchases on your website.

Here's what you do.

Step 1: Create a "spreadsheet", if you will, with each row representing a customer who purchased in 2005. Each column in your spreadsheet is populated with a series of "1s" or "0s". Each column represents a form of advertising. A one is populated if the customer purchased in 2005 using that form of advertising. A zero is populated if the customer did not purchase in 2005 via that form of advertising.

A list of potential "advertising" channels include:
  • Brand Buyers: Customers who purchased, and we cannot identify any advertising campaign that caused the customer to purchase. This is the most important "channel" ... we want our customers to purchase from us because they "love" us, not because we advertise to them.
  • Catalog: Customers who use a catalog source code, or are identified as having purchased via catalog from a matchback analysis.
  • E-Mail: Customers who clicked through an e-mail and purchased merchandise.
  • Social Media: Customers who purchased and had a referring URL from a blog or social media site like MySpace or Facebook. Some companies comprise a list of the top 5,000 referring URLs, then visit each URL, and identify if the URL is a blog/social-media site. In addition, these companies look for URLs with phrases like "Blogspot" or "Typepad" in the URL, to identify that the referring URL is a blog.
  • Portals: Customers who purchased and had a referring URL from an advertisement on a portal like MSN or Yahoo!.
  • Paid Search: Customers who purchased and had a referring URL from a paid search ad.
  • Natural Search: Customers who purchased and had a referring URL from a search engine, a URL that isn't from a paid search campaign.
  • Affiliates: Customers who purchased via an established affiliate.
  • Shopping Comparison: Customers who purchased via a shopping comparison site like MySimon.
Step 2: Repeat Step 1, but this time, create the file for calendar year 2006.

Step 3: Match the files together for Step 1 and Step 2.

Step 4: Conduct a Multichannel Forensics analysis.

Step 5: Create the map at the start of this post. Any channels that are in "Equilibrium" or "Transfer" are linked together on the map.

The analysis illustrates how your advertising channels work together.

In this example, there are numerous findings.
  • New online customers are recruited through paid search, catalog marketing, and "brand buyers", customers who purchase without having used advertising.
  • Shopping Comparison and Affiliate customers appear to be largely "cut off" from the ecosystem. In other words, these customers do not eventually become customers who purchase "on their own", or via other advertising channels. One would evaluate the LTV of these customers, to understand if these marketing activities are worthwhile.
  • Social Media sites and Portals are leveraged by "brand buyers". In other words, best customers utilize these sites to make purchases.
  • Paid Search and Natural Search become "links" that ultimately facilitate the transition from new customer to a loyal customer. The data in this example suggest that these customers can eventually become "brand buyers", customers who don't need advertising to purchase.
  • Catalog Marketing is an important way to acquire new customers. The data also suggest that catalog customers use search to complement future purchase activities.
  • E-Mail is a "dependent channel" in this example. E-Mail marketing might be effective, but it appears it depends upon other marketing activities (search, catalog) to "acquire" the e-mail address that will be used for e-mail marketing purposes. In this example, the link between "brand buyers" and e-mail is one way. Brand buyers offer an e-mail address, and then respond to e-mail. E-Mail customers are less likely to become "brand buyers", in this example.
Now that the advertising ecosystem has been fully mapped, you sit down with your marketing folks, and consider appropriate linkages between marketing programs.

It is also important to understand which advertising channels drive a customer toward loyalty. Notice that catalog, search and e-mail marketing are all interconnected, whereas affiliate and shopping comparison marketing activities deliver a fundamentally "different" customer to the brand (in this example ... your mileage may vary).

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