calculating loyalty & retention metrics

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Calculating loyalty & retention metrics.

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Page 1: Calculating loyalty & retention metrics

Calculating loyalty & retention metrics.

Page 2: Calculating loyalty & retention metrics

Table of Contents2

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01. Maximizing Revenue from Existing Customers . . . . . . . . . . . . . . . . . .

02. Bringing More Customers Back to Shop Again . . . . . . . . . . . . . . . . . .

Average Order Value (AOV) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Profitability Per Order(PPO) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Purchase Frequency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Time Between Purchases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

03. Tracking Retention Efforts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Repeat Customer Rate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Customer Lifetime Value (CLV) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

04. Measuring Customer Loyalty Online . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Redemption Rate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Loyal Customer Rate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

05. Retention Metric Best Practices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Benchmark Your Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Check Metrics Monthly . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Use a Rewards Program as a Hub . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Page 3: Calculating loyalty & retention metrics

By now you know every metric associated with the sale of a product on

your store, and the conversion flow associated with it. Facebook ad

conversions, add to carts, and on site conversion rates are all important

to maximize your revenue, but only to a certain point.

Hypothetically, every online business will reach a point where they can

no longer grow by acquiring new customers. There are only a finite

number of people in the world that can potentially buy your products,

and acquiring new customers is getting expensive!

If you want to stay competitive you need to focus on maximizing the

value of your existing customers, and establish a sense of brand loyalty.

This book will focus on showing you the metrics you need to track when adopting a customer retention strategy, while also showing you how to measure customer loyalty online.

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Looking for a more in-depth overview of what’s going to be covered in this eBook?

READ HERE

Page 4: Calculating loyalty & retention metrics

Retention is about getting customers who have purchased from you

before to come back and purchase again. It is also about maximizing the

revenue of those purchases. With rising acquisition costs, it is important

to maximize the value of every sale.

Maximizing Revenue from

Existing Customers

Page 5: Calculating loyalty & retention metrics

Average Order Value (AOV)

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To Calculate:

Total Revenue # of Orders Taken÷

This calculation shows you how much revenue the average purchase on

your site generates for you. This is important to know because it tells

you how much you can afford to spend to acquire a new customer.

Unfortunately, it is often more expensive to acquire a customer than

your average order value. This means you have to choose whether to

retain this customer or increase your average order value.

While you can try to retain this customer, we’ll cover that later. Here are a few tips to increase your average order value.

Page 6: Calculating loyalty & retention metrics

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1. Free Shipping ThresholdsThis is one of the easiest ways to increase average order value: simple

set a threshold that a customer must spend in order to receive free

shipping. According to UPS, 61% of shoppers abandon their cart if they

can’t get free shipping. This can turn into a positive when you set a free

shipping threshold.

The fact that the majority of shoppers will leave your site if they can’t

get free shipping also means that they will actively pursue it. You can

motivate them to spend a little more in order to receive free shipping.

The important thing here is to make the threshold obtainable.

Find your AOV and make a threshold that is 15%-20% above that. If you

set it too high, shoppers will see it as a hassle rather than a

benefit. Setting your threshold too high is one of the most common

mistakes according to Entrepreneur.com.

Page 7: Calculating loyalty & retention metrics

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2. Use Cross-SellsCross-selling is presenting additional items that a shopper might see

as valuable. Usually this is done by looking at what they have put

in their basket and recommending products that complement that

item. Let me explain with an example.

When shoppers look at a product on bodybuilding.com, the website

also recommends two products that are intended to be purchased

with it. If I look for Omega-3 capsules, the site also recommends a

protein powder and multivitamin of the same brand.

Page 8: Calculating loyalty & retention metrics

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Bodybuilding.com uses a system to automatically present cross-sells,

but you don’t have to be that high-tech. Smaller merchants can

simply place a static recommendation on a product listing. This could

be putting a recommendation to jelly on all peanut butter listings or

toothpaste on all tooth brush listings.

Cross-sells are a great way to boost average order size because they

remind your customer of products they may have forgotten, or didn’t

realize they needed.

You provide them with additional value and they provide you with

additional order value. It is a win-win!

Learn more about how to improve your store’s average order value.

READ HERE

Page 9: Calculating loyalty & retention metrics

Profitability Per Order (PP0)

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While average order value is a great benchmark, it does not tell the

whole story. If you are only selling low margin items, your AOV is not a

great benchmark. Your profitability per order, on the hand hand, shows

you how much profit you are brining in on the average order.

You can increase PPO in similar ways to your AOV - you just need to be

sure you are pushing your highest margin items. Use a Related Items

section that only shows your 8 highest margin items such as your house

brands.

You can also give incentives for purchasing high margin items. This

works great when combined with a points-based loyalty program.

Simply reward extra points for your high margin items, or only offer

points on your house brands. This is particularly effective in the

supplements industry.

To Calculate:

Total Revenue x Profit Margin

Number of Orders÷

Page 10: Calculating loyalty & retention metrics

The purpose of a customer retention strategy is to encourage people to

come back and shop with you more often. Your goal is to turn every first

time shopper into repeat business. Here are the metrics you will need to

measure whether shoppers are coming back to shop again.

Bringing More Customers

Back to Shop Again

Page 11: Calculating loyalty & retention metrics

Purchase Frequency

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To Calculate:

Total # of Orders

(365 Days)

# of Unique Customers

(365 Days)

÷

Purchase frequency is a measure of how often your average customer is

shopping with you during a given period of time (usually a year). As you

bolster your customer retention efforts you will see your purchase

frequency increase. Even a 0.5 increase in purchase frequency can have a

big impact.

Here are a few tips and tricks you can use to get your customers

to shop with your more frequently.

Page 12: Calculating loyalty & retention metrics

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1. Retention EmailsThese are emails that are sent out to existing customers (aka those who

have made a purchase before). They can range in complexity from a

simple “we miss you” email to a tailored email based on previous

purchase information.

The goal of these emails is to inspire them to come back and make

another purchase from your store.

Here is an example I have put together to illustrate the two tactics

explained earlier.

Page 13: Calculating loyalty & retention metrics

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The key to any retention email is offer personalization, relatable offers,

and an incentive. The personalization can be as simple as addressing the

customer by name or by offering them something related to what they

purchased before - in this case, ties.

Finally, you need to give the shopper a reason to return. In the tie

example it is with a coupon code they can use. But you can employ other

incentives like points in a rewards program.

2. Rewards ProgramsA rewards program can actually help with both average order value and

purchase frequency. The enrolment in a rewards program encourages

a customer to shop with you again instead of choosing a competitor.

Once a shopper is enrolled, you can use points to motivate them to

shop more frequently.

You can also team up your email marketing and rewards program to

increase purchase frequency (as mentioned before). You can use points

in your emails as an incentive to get customers to return. Show them

the point balance they have, and what they can spend those points

on. You could also give extra points on certain days to encourage

customers to buy now.

Page 14: Calculating loyalty & retention metrics

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Points are a great incentive because you can show a customer’s current

balance instead of discounting the purchase further.

Looking for more tips on how to increase your purchase frequency?

READ HERE

Page 15: Calculating loyalty & retention metrics

Time Between Purchases

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To Calculate:

365 Days Purchase Frequency÷

Your purchase frequency shows you how many times a year a customer

is buying. This is helpful to see if retention marketing efforts are

working, but it is not the most actionable metric. Time between

purchases turns purchase frequency into a more useable metric.

Time between purchases shows you how long a typical customer goes

before making a repeat purchase. This is a good metric to know because

it allows you to tailor email marketing campaigns. If you know the

average customer goes 7 weeks between purchases, you can start

sending promotions during week 6 to get them back a little sooner than

they normally would. Time between purchases will vary significantly

between industries. If you are selling furniture you will see a longer time

between purchases than if you are selling coffee.

The best practice is to try and find another merchant in your industry

that you can compare to. If you can’t find a comparable merchant just

use your current frequency and continue to try to improve from there.

Page 16: Calculating loyalty & retention metrics

Your repeat customers are now spending more per order, and you are

getting them to come back more often. You are in an amazing place!

Now you will need some metrics to track the overall performance of

retention marketing.

Tracking Retention

Efforts

Page 17: Calculating loyalty & retention metrics

Repeat Customer Rate

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To Calculate:

# of Customers ThatPurchased More ThanOnce

# of Unique Customers(365 Days)

÷

Your repeat customer rate is the percentage of your customer base that

are repeat purchasers. The average repeat purchase rate in ecommerce

fluctuates between 10% and 20% depending on the industry. If your

store falls in or below this range, you could benefit from a retention

marketing strategy.

There are many ways to boost your retention efforts including loyalty

rewards programs, retention email campaigns, and a customer relation

management software. These are strategies may require a long term

commitment, but they will also get you amazing results. The best way to

measure the long term effects of these retention strategies is to take a

look at the change in your repeat customer rate. Measure where you are

now, then start a customer loyalty program and watch your repeat

customer rate increase.

Page 18: Calculating loyalty & retention metrics

Customer Lifetime Value (CLV)

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While you can try to retain this customer, we’ll cover that later. Here are a few tips to increase your average order value.

To Calculate:

AOV Purchase Frequency Lifespanx x

Customer lifetime value is the one metric to rule them all in customer

retention. It is a measure of how much an average customer is worth to

your store over the course of their entire shopping life. The problem is

that calculating it can be very complex.

Take a look at this Google search:

These equations are daunting if you don’t have a finance or math

degree.

Page 19: Calculating loyalty & retention metrics

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While these are the most accurate ways to calculate CLV, they are far

from the easiest. These types of equations are overkill for most online

businesses. The calculation on the previous page is a much simpler way

to get a workable CLV figure.

The three components of the equation are average order value

(described in section 1), purchase frequency (described in section 2),

and customer lifespan, which I will explain now.

Your customer lifespan is the average amount of years someone will

shop with you. I know this is difficult metric to determine especially if

you don’t have years of data to look at. I suggest that you use 1 year

for modest forecasting and 3 years for more ambitious forecasting.

Learn more about your customer lifespan and how to effectively calculate your CLV.

READ HERE

Page 20: Calculating loyalty & retention metrics

A loyalty rewards program is an amazing way to both increase your

retention metrics and create loyal brand advocates. In this section we

will show you how to calculate metrics that prove whether a rewards

program is effective or not. One of these metrics require a rewards

program to measure, but the other is a measure of general loyalty.

Measuring Customer

Loyalty Online

Page 21: Calculating loyalty & retention metrics

Redemption Rate

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To Calculate:

# of Points Spend Total # of PointsIssued

÷

This metric shows you what percentage of the points you are issuing are

actually being redeemed on a reward. Your rewards members see real

value in your program when they are able to redeem points on a reward,

not necessarily when they are earning the points.

This metric shows you whether your program members are engaged and

loyal, or just sitting in your program idly. A good rule of thumb is that

you should see a 20% redemption rate in your program after 6 months.

Your program needs time to catch on. Looking at your redemption rate

after a month or two will not give you an accurate depiction of how well

your program is performing. If after 6 months you still see a redemption

rate of less than 20% you should look into your program for changes to

boost member engagement and participation. A low redemption rate

does not mean a loyalty program won’t work, but rather shows you have

not found the right structure for your customers.

Page 22: Calculating loyalty & retention metrics

Loyal Customer Rate

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To Calculate:

# of Customers ThatHave Purchased 4+ Times

# of Unique Customers÷

This metric is similar to your repeat customer rate with one main

difference: this metric looks at customers you can classify as loyal rather

than just repeat.

Getting a repeat customer (2 purchases) is great, but getting a loyal

lifetime customer is better. We have noticed that after a customer has

purchased 4 or more times, they will stick with you long term.

Your loyal customer rate shows the percentage of your customer base

that you can classify as loyal. This will obviously be less than your repeat

customer rate, but these customers are worth even more. The beauty of

this loyalty measurement is that you do not need a rewards program to

calculate it.

If you think that your current customer loyalty is high without a

program, you can use this metric to evaluate it. If it is not as high as you

had thought, or you think it could be higher, you can start a loyalty

rewards program with Smile.io to boost it.

Page 23: Calculating loyalty & retention metrics

Retention marketing and the associated metrics are much different than

standard ecommerce metrics, and are not as simple as opening up

Google Analytics. Because retention marketing is a long term solution,

you need to keep on top of your metrics for proper reporting.

Retention Metric Best Practices

Page 24: Calculating loyalty & retention metrics

Benchmark Your Metrics

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Retention marketing is a long term ecommerce strategy. If you want to

measure performance, you need to know where you started and how far

you have come. That is why we recommend measuring the metrics in

this book now so you can see where you currently stand.

Once you start to introduce more tactics you can look back and see how

much of an impact they have had. It is easy to make small steps towards

big results, and tracking this progress allows you to truly see how far you

have come.

Page 25: Calculating loyalty & retention metrics

Check Metrics Monthly

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Retention metrics will not change drastically overnight. Like a good

marinade, they need some time to take effect. This is why you should

continually check in on how your retention and loyalty metrics are

doing. You should look at these metrics at least once a month to

compare where you started to where you are now.

You will not be able to make changes to your strategy if you are not

tracking what is working and what might have been a costly misstep.

Page 26: Calculating loyalty & retention metrics

Use a Rewards Program as a Hub

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Trying to keep tabs on all of your retention marketing tools and tactics

can be difficult. That is why we recommend using a rewards program as

a hub for retention marketing (since we do make and sell them).

Many rewards programs (like Smile.io) allow you to run multiple

retention efforts at the same time. With a rewards program, you can

reward points for different profitable actions, send retention-focused

emails, and keep track of retention-related stats.

This central hub makes it much easier to implement retention marketing

as a focus for your business. If you want to get started with a rewards

program, visit www.smile.io today!

Page 27: Calculating loyalty & retention metrics

[email protected] us at smile.io