How to Psychologically Segment Customers By Persona Baiting

A question came up at a recent local Adobe roundtable event on personalization: How can you psychographically segement a customer without knowing anything else about them?

This is a topic we covered a few years ago on GetElastic, and is worth revisiting. The tactic could be termed “persona-baiting.”

Bryan and Jeffrey Eisenberg’s Waiting for Your Cat to Bark segments customers into 4 fundamental buying modalities (based off the four Keirsey temperaments):

Here’s the rundown:

Competitive Shoppers

  • Enjoy being the first to own a product
  • Want to digest facts and summaries without clicking through to more details
  • Generally won’t dig for information
  • Will more likely search vs. browse
  • More likely to scan product copy (hooray for bullet points)
  • May respond more to cross-sells and upsells
  • May respond better to “web exclusives” and limited time offers / limited quantity
  • Less likely to comparison shop
  • Makes a fast, logical decision

Spontaneous Shoppers

  • Respond to sales, discounts, limited stock and time-limited offers
  • Respond to free and / or fast shipping
  • Don’t think too long before clicking
  • Like to see products in context (e.g. clothing on a person)
  • More likely to scan product copy
  • Influenced by the quantity of reviews
  • May respond more to product recommendations that “others bought”
  • Makes a fast, emotional decision

Methodical Shoppers

  • Thoroughly researches a purchase decision
  • Will examine product details and side-by-side comparisons
  • Will pour through pages of customer reviews, and use sort tools
  • Trusts expert reviews
  • Will read the fine print on offers
  • Makes a show, logical decision

Humanistic Shoppers

  • Care about others’ opinions and reviews
  • Appreciate live chat
  • May be more likely to forward emails to a friend, contribute reviews or share products socially
  • May be more likely to use product finders and wishlists
  • Makes a slow, emotional decision

So what is persona-baiting?

Consider designing your landing pages, features, emails and other campaigns with “carrots” that bait different personality types. Many marketers are doing this without realizing it, showcasing “top rated” products alongside “new arrivals,” “customer favorite,” “best seller” and “price drop.”

Another approach is to tag a visitor based on how search or category pages are sorted or filtered.

Quiz: Can you determine which sort options correspond to which buying modalities?

Applying persona bait

In the Crutchfield email example above, a marketer could experiment with tagging visitors based on what feature they clicked in the email, and provide consistent approach to design and messaging throughout the site visit.

For example, a product page could label cross-sells and upsells as “Just in” for competitives, “Others bought” for spontaneous, “Top rated” for methodical and “Most popular” for humanistic (with the appropriate merchandising rules associated, if your tool can handle this).

When personalizing the site experience, a product page might have a one-liner value prop headline tailored to the modality.

Headlines in remarketing emails could be tailored to buyer modality, for example “Don’t miss out on our top rated Blu-Ray player.”

Future home page visits could be served up creative that speaks most to a modality’s motivations.

Etc.

Persona baiting tips

If you’re going to use the “persona-baiting” personalization tactic, there are a few things to keep in mind.

If baiting headlines for different featured products (e.g. Just In! or Top Rated), stick to one product category, such as Blu-Ray players, rather than an assortment of products.

If possible, tailor the landing page copy and design to fit each modality – you may put reviews front and center, the value prop may be the rock-bottom lowest price, or top selling item (the quick decision maker who wants the safest bet with minimal thought).

Consider tagging visitors to personalize that visit or purchase context only – remember, people can share computers, and different products and different buying reasons prompt different behavior. For example, one may pick the top rated or best selling perfume their mom for Christmas, but read reviews like crazy when choosing a scent for themself or a partner. (Sophisticated systems can recognize patterns over time for a given customer).

And test!

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