We’ve talked often about the buying modalities made famous by the Eisenberg brothers and Future Now. We did a Webinar about it and a couple blog posts about how different personality types respond to email subject lines and email creative.
Did you know you can also optimize customer reviews for different buyer types? I don’t mean editing customer reviews — rather the way you implement reviews.
Read on for examples on how you can capture the attention, interest and desire of different customer personalities with customer reviews so they’re more likely to take action and buy from your site.
First, I’ll recap the characteristics of each buying mode, and then offer some suggestions and examples.
- Likes to be the first to own a product – responds to new items, featured or best-sellers
- Interested in facts and summaries – without clicking
- Doesn’t want to dig for information
- More likely to use search box than browse
- Interested in cross-sells and up-sells, but doesn’t want to click through to learn more
Optimizing for Competitive Shoppers:
- Incorporate your best selling products with their ratings and reviews into email creative, home page features, category pages and even product filter and search results.
- Show the most helpful positive review and the most helpful negative review like Amazon.
- Offer a search box for reviews (for example, I want to know if anyone has problems with this on their Mac, so I’d search reviews using “Mac” or “Mac OSX”). Again, Amazon does this.
- Break down star rating by attributes like Delightful Deliveries does.
- Any type of AJAX hover for review detail would help, though I haven’t seen anyone doing this yet.
- Develop a Pluribo-type function that summarizes all the reviews into a few sentences.
- Responds to sales, discounts, limited stock and time-limited offers (like day-only sales)
- Responds to free overnight shipping (I can have it tomorrow!)
- Scans and clicks with less reflection than other types
- Prefers to see product in action (what does this look like on a person?)
- Interested in “how many” reviews there are
- Interested in what other people bought, may respond more to this type of cross-sell
Optimizing for Spontaneous Shoppers:
- Ask for video reviews and customer photos (to show the product in action).
- Break down star rating by attributes, just like for competitives.
- Allow users to sort category page and search results by number of reviews like Buzzillions.
- Likes product details, very thorough in researching a purchase
- Likes side-by-side product comparison to make a rational decision
- Trusts expert reviews – videos are especially helpful
- May be skeptical of contests, free shipping and returns – what’s the catch? Will read the fine print every time.
Optimizing for Methodical Shoppers:
- Break down star rating by attributes (yes, again!)
- Allow methodicals to hone in on the negative reviews first (remember, we methodicals are skeptical!)
- Provide badges (verified buyer) or community feedback (was this helpful?)
- Start a conversation – like with Bazaarvoice’s Ask and Answer product. Methodicals make slow buying decisions and may be willing to wait.
- Show videos by experts. This would supplement your user reviews. You can find Cnet reviews for free on YouTube (example).
- Rate attributes – more detail
- Cares what others have to say
- Appreciates live chat support (or telephone service)
- Will forward to friend, share product experience and experience on your website with friends
- More likely to contribute customer review content
- Looks for the perfect gift, use gift finders and wishlists
Optimizing for Humanistic Shoppers:
- Allow to sort by top rated in category and search result pages.
- Let customers vote for reviews as helpful or not helpful (encourage participation).
- Incorporate user photos and videos.
- Include option for reviewers to add their own headshots to their reviews (haven’t seen this done, see “concept” below).
- Facilitate product discussions (Amazon).
- Include a Pluribo-like visual representation of overall positive or negative sentiment.
My concept, below:
Tags: Customer Reviews