In this post, I’d like to describe a use case that leverages bulk unique codes to increase retention rate and test different discount strategies. You’ll see how to include one-off coupons into your marketing toolkit to create a smooth omni-channel experience.
Unique codes attached to particular customers helps to define buying patterns amongst your audience. To manage one-off codes, your system needs to generate unique sequences of coupons or gift cards, which delivered to customers, become automatically assigned to their profiles. The most important thing is to be enabled to store and track data about codes and their owners. Having such an infrastructure in place enables you to create unique incentives in bulk and track individual order histories:
Let’s see how you can leverage such campaigns to work on improving customer retention. I want to engage one-time buyers to repurchase using unique codes with a discount for a second order. At this point, I have no idea what coupon should be offered to make it work for my audience. Keeping that in mind, let’s test two different discounts equipped with unique codes to track which idea performs better.
First of all, new customers should get their codes automatically after the first purchase is made. It’s good to have a scalable solution from the very beginning when it’s hard to predict what kind of traffic you’ll need to handle.
Secondly, what kind of discounts should be tested in the first place? There are no universal rules of leading customers to a second purchase, but we recommend that you check around and find out what your competition or brands with similar dynamics of sales, are offering.
In this post, let’s test the following coupon campaigns:
This a/b test shows how the expiration date influences the effectiveness of a discount. A time frame is just one of the many parameters you can, and should, test before you decide to fire off a full-blown campaign. A one-time a/b test should examine one or a maximum of two variables at once. It can be a discount amount or type, minimum order value, or product-specific configurations. Although dividing discount tests into small parts requires more time to measure all promotion properties, it is the only way to define the impact of each attribute on discount performance.
Keeping that in mind, in the described example, both campaigns have a different discount value and expiration date, but both apply to all products without additional rules. When the discount id already defined, it’s also good to check if whether or not adding a minimum order value will increase overall performance by increasing average order volume.
Let’s sum up all things required to consider before launching a bulk unique codes campaign:
Quick Tip: When you’d like to upsell, it is a good (and common) tactic to set the minimum order value a little bit higher than your average order amount.
Our goal is to define a universal discount offered to every one-time client. New customers should be divided into two similar groups to make tests reliable. For example, you can create separate customer segments based on the date of the first order:
Group A: an order in the 1st two weeks of a month.
Group B: an order in the 3rd and 4th weeks of a month.
Customers from a Group A get a one-month offer with 15% off everything, and customers from a Group B receive 10% off if their second order is made within three days from the codes’ delivery.
When campaigns expire, it’s time for summing up results. Thanks to bulk unique codes, you can quickly sum up a number of new customers and count how many of them redeemed a code.
As you can see, customers who were offered 15% discount utilized 28% of delivered codes. In Group B, 35% placed a second order with their unique coupon. Results show that although Group A got a better offer, they utilized fewer codes than the group with a lower discount. It often happens in reality, accordingly to research
One of the most frequent phenomena associated with shopping behavior is a desire to avoid anticipated regrets. It is already proven that consumers find deals much more attractive when incentives are limited in time or available amount.
In the next step, I’d measure if a 15% discount offered in short-time period could sharpen up these metrics. Likewise, by dividing new customers into two representative groups, I could test flash-sale with 15% off and an additional configuration like the same 15% discount with a minimum order value.
Quick Tip: Remember, you cannot discount everything. Moreover, raising coupon value could bring more traffic, but it doesn’t mean your sales results will grow. Set your discount amount on a level that is safe for your budget, no matter the scale, and try to sharpen up discount performance using additional tactics like short expiration dates, up- or cross-selling.
You can leverage bulk unique codes to target specific customer segments and deliver incentives in automatic, trackable messages. Codes distribution needs to be adjusted to channels preferred by your audience. In the short movie below, you can see how bulk unique codes can work with automatic emails (Technical requirements are listed below the video.).
Requirements: This movie is published for illustrative purposes only, by using the Promotion Management System voucherify.io