While product returns and exchanges may seem like an uncontrollable phenomenon, the truth of the matter is, retailers have the power to shape the magnitude of their returns and exchanges.
The quicker you realize this, the faster you can understand how your eCommerce return rate impacts all aspects of your business.
Many retailers are able to pick up on the initial front-end costs of product returns, as they present the most immediate harm to your Shopify store.
Let's take a look at the basic damage a product return does to your eCommerce store:
As retailers look to reduce the immediate impacts of returns and exchanges they begin to realize some key problems with their process, which may include:
Not only do these problems waste a considerable amount of time, they also take away from the relevance of an employee's role within your company.
Let's face it, handling returns and exchanges is not the primary function of your customer success team, it's a supplemental task they take on to keep your store running.
Returns and exchanges steal time away from your team, and force them to handle a tedious problem, when they could be doing more meaningful and value-added tasks that are more aligned with their skill sets.
No. You're just plugging in holes to keep a sinking ship afloat.
Depending on your location and returns volume, you're probably paying your employee a competitive wage of $15 dollars an hour to process and handle your returns and exchanges.
Additional staff support won't magically prevent product returns, or give you insight into why they're happening in the first place—instead additional warehouse staff translates into additional overhead costs.
Returns hurt eCommerce growth by causing churn.
According to Kissmetrics, it's 7x times more expensive to acquire new customers than it is to focus on the ones you already have.
If you're running a fashion & apparel eCommerce brand, you're most likely leveraging a few traditional avenues of customer acquisition:
These aforementioned strategies are fast methods of attracting new customers for one-time purchases. The problem?
Online customer acquisition is expensive, and typically delivers a variable ROI.
So, how do Shopify companies like Allbirds continue to grow at jaw-dropping rates?
Two words. Customer retention.
Brands like Allbirds are able to sky-rocket their eCommerce growth by converting one-time shoppers into repeat customers.
Have enough pairs of Allbirds to go on 9 dates & not rewear a pair if anyone's interested in a free meal so I can show them off— Tony Quattropani (@YonyyQ14) August 21, 2017
If you can tap into the power of your current customer database, you're able to increase your direct revenue and build a loyal following of customers that will ultimately promote your products and bring in new business.
So, if customer acquisition costs are high, but customer retention is a viable method of increasing revenue— what's stopping me from growing as fast as I can?
Two more words. Customer Churn.
Many eCommerce professionals look at their a churn rate, to reveal valuable insights about their company's growth and make predictions regarding customer behavior.
Churn has an negative impact on a brand's growth because it's essentially working against your acquisition and retention efforts.
Churn is a result of negative online shopping experiences that cause customer hassle and friction. Product returns and exchanges are synonymous with hassle, and often require the consumer going through a process filled with friction and regret.
Product returns are a hassle for both the retailer and customer, so if you don't take action to reduce returns, you're ultimately losing out on loyal customers and the repeat profit they bring.
Today's online shopping experience is often supplemented by consumers sharing their purchases and opinions on social channels.
With social media platforms like Instagram and Facebook bringing in increasing amounts of traffic and purchases to your store, a difficult product returns experience can quickly apply negative connotations to your brand.
As eCommerce sales continue to grow at a rocketing rate, there is an emphasis placed on retailers to try to understand the purchasing habits and needs of the customer.
While developing buyer personas and audience targets is staple of any great marketing strategy— prematurely identifying the profiles for customers likely to initiate a return actually moves retailers further away from solving their returns problem.
In an effort to protect themselves from being taken advantage of, retailers have developed generalized personas for "serial returners".
Although the "serial returner" personas do exist, and are harmful to your growing brand— they only account for a small percentage of product returns.
The key take-away here is not that serial returner personas don't exist, but that they don't accurately depict a store's own customer base and are not the root cause of a store's high volume of returns and exchanges.
The majority of product returns are the retailer's fault, not the customer's.
Yes you read that right, most of your store's returns are your fault.
An estimated 65% of all returns are because of retailer fault, below is a graph of three of the most common retailer faults that result in a return:
The data above depicts a fairly vague segmentation of return reason codes, but keep in mind that these categories actually contain various subcategories:Wrong Product Received Could Also Translate Into:
Now that we've identified that the retailer is to blame for product returns, we now understand that the retailer, not the customer controls the behaviors and actions that lead to a return.
Simply put, the ball is in your court, you dictate the outcome of a purchase, and by following these 7 best practices, you can start to crush your Shopify Return Rate.
A liberal eCommerce returns policy, also sometimes called a customer-centric returns policy empowers the customer to purchase a product with confidence and peace of mind, knowing they have the option to return it later.
It may seem counter productive to incorporate a liberal returns policy when you're trying to lower reduce your product returns,
but a customer focused returns policy can actually help you prevent returns, and boost sales.
Here's how:Typically Shopify retailers allow customers to return a product within 28-30 days of purchase, this creates a sense of urgency and pressures customers to initiate the return quicker. Instead, retailers should lengthen their returns window to 45-90 days
Personas or traits developed by looking at careful considerations and analysis of your customer database are much more accurate than general depictions of high risk customers.
Segmenting to prevent returns is not much different than segmenting for marketing purposes. At the rudimentary level, you're just trying to identify trends, behaviors, traits, and other useful metrics to make smarter decisions moving forward.
The effectiveness of this strategy is dependent on the depth of metrics you've gathered and your overall returns and handling process.
Since Shopify doesn't naively offer any analytics tools for retailers to keep track of product returns data, it's critical that retailers optimize their spreadsheets and workflows to include key returns reason data.
Let's say a Shopify store is planning to launch a promotion for 20% off all pink shirts as a part of a campaign for breast cancer awareness, but doesn't want to risk sending this promotion to customers who have a high likelihood of returning the product.
Let's see how you can apply basic segmentation practices to lower the return rate for your promotional campaign.
In this case, we want to segment our customers into two groups:
Looking at the numbers, there are a total of 5,000 customers— who have purchased at least one product, and the store's return percentage is 20%, which translates into 1,000 customers who have returned a product.
At first glance it looks like the store should e-mail 80% of it's customer base, and ignore those who have returned a product.
While this solution may be apparent, it's not an ideal option for retailers looking to convert dissatisfied customers into repeat buyers.
The objective of this promotion is to encourage sales— the purpose of segmentation is to reduce the potential high volume of returns, and the financial and opportunity (time and resources) cost they may bring.
While you may not have advanced metrics and data recorded for each product in your excel sheets, at the bare minimum, when retailers are transferring info from RMAs, details regarding the type of product are usually retained.
Keeping the numbers simple, it appears each product contributed 20% to the overall return rate, we're getting closer but this data still isnt' as helpful.
Let's break this data down even further to identify the returns reasons for why a product was returned.
Pink shirts are the exact product that the retailer is offering a discount on, so exploring the data for pink shirts specifically will provide some clearer insights.
The original promotion involved customers receiving 20% off purchases involving Pink Shirts. Our latest findings show that of the 200 people who ordered a pink shirt, 80 of them didn't even like the color.
Does this mean, we've found our group B to remove from the overall sample?
In this case of a very specific and isolated example, yes.
Now that we've identified the segment to be removed from our promo mailing list, we need to verify that our data is relevant, because correlation between two occurrences doesn't mean that there is causation.
The final step is to compare the Pink shirts that are being discounted, with those that have been returned, while taking into account the original return reason— did not like color.
Validate the segment by asking yourself questions like:
In this simplified example, segmenting two groups, and sending only one group an offer allowed us to avoid 80 costly and time consuming returns.
Considering that 23% of product returns are because of inaccurate depictions of the product, high-quality visuals that provide detailed views of items become crucial to bridge the gap between the consumer's expectations and the reality of the product.
One of the pitfalls of doing business online is the lack of touch and focused examination that customers have access to while shopping in brick and mortar stores.
The simplest way to combat this obstacle is to provide extremely detailed photos of your product.
Hi-resolution photos allow customers to zoom in and examine the product with a fine tooth comb.
People are selective (weird) creatures, they'll return a dress because it's stitching doesn't match the color of the lettering on the welcome mat outside.
Although this example may be on the extreme side of customer returns, it serves to highlight a fault in the way many Shopify retailers present their products.
Lack of detail, leads to a lack of information— which translates into a misinformed purchase decision:
You should aim to empower your consumers with as much relevant information as possible about a product so they can make a holistic decision based on realistic expectations.
The last thing you want is a customer sending you a $300 pair of pants back because they didn't like the imprints on the button.
GymShark is a perfect example of a Shopify store that leverages high resolution images to give buyers detailed information about a product before they make a purchasing decision.
In this example, the customer can clearly see details like, stiching, product material, and logo from various angles.
House of Holland, another Shopify retailer illustrates this strategy:
With the help of Shopify plugins like Imajize and some photographic skill, retailers can quickly incorporate full 360 degree views of their products.
This approach to displaying a product is very effective, according to the testimony of a high volume Shopify retailer who used 360 degree views of products to give customers a better idea of what they're purchasing. With this strategy in place, Camp4 was able to successfully reduce their return rate.
Not only does including user Instagram photos of your product boost sales, it also compels customers to keep the products they've purchased.
Instagram photos create realistic expectations:
Thanks to vanity sizing charts and various social norms, it's become harder for consumers to accurately envision how a product will fit and look on them.
To offset the lack of realistic consumer expectations, incorporate an Instagram gallery for each product.
Showcase average consumers wearing and styling your product. This will aid in the buyer's perception of the product, and help create more realistic expectations
Instagram photos reaffirm purchases:
Along with some customer photos of products, make sure to feature any photos of influencers styling your product.
Fashion influencers carry a lot of weight when it comes to a consumer's perception of a product, so a featured photo of a fitness phenomenon or Instagram model can help buyers come to terms with their purchase.
Gathering feedback for a product return can be a tedious process, both for the retailer and customer, but nevertheless, relevant customer feedback allows retailers to improve the overall brand experience and understand various defects in their returns management process.
By collecting customer feedback from product returns, retailers are unlocking valuable insight into their products. Insights, which otherwise would not have been discovered.
Admittedly, captivating the customer's attention after a poor returns experience is not the easiest of tasks to accomplish, which is why retailers need to quickly gather feedback while the customer is submitting the return.
Since Shopify doesn't offer any solution to easily process product returns and exchanges, thousands of successful Shopify retailers have to resort to clunky and inefficient methods such manual e-mail and google docs.
Many Shopify stores have a process for dealing with returns and exchanges very similar to the one below:
There are two huge problems with this method of handling product returns:
The consumer is forced to go through a very manual process that's full of friction, and ultimately decides to not purchase with the retailer in the future.
As the retailer attempts to make this process as quick as possible, visibility into returns reason codes are lost.
So, what's the quickest way to gather customer feedback, while also simplifying the Shopify returns process?
Free user input tools like TypeForm make it easy for retailers to quickly initiate the returns process by gathering necessary return details, while also collecting data on why a product was returned.
Here's an example of how successful Shopify retailer, Southern Marsh integrated a free and easy tool to collect user feedback and simplified their Shopify returns process.
By using a third-party tool, or even asking your development team to setup a form, you can quickly gather necessary return codes, and user feedback while the customer is submitting the return.
Check out this example of another Shopify retailer, Julie Lamb NY, gathering return reasons codes and customer feedback during the return submission process.
Retailers have access to a diverse arsenal of techniques for acquiring customer feedback, but, regardless of which methods they choose, it's important that they use returns data to discover problems with products and processes.
To start to leverage your returns reason codes:
Aggregate your customer feedback, and break it down into various variable groups that will help you better understand your customers
These variables can include return reason codes, type of product returned, the manufacturer of the product, product attributes, etc.
Analyze the various variables you collect, and find common factors between products.
Explore deeper into the specifics of each return reason code, and attempt to pinpoint the cause of the problem.
Your marketing team and operations team are fighting the same war, and should complement each other.
Having your marketing and sales team provide air support for your operations and logistics team is a good formula for increased productivity, profit, and reduced churn and hassle.
Using customer feedback and segment data, you can better identify which products are problematic and which customers are likely to return certain items:
Identify Problematic Products:
By analyzing customer feedback, retailers can gain a better understanding as to why certain products are being returned.
Identify Problematic Customers:
Use customer segmentation and customer feedback to build tailored profiles for high risk customers.
Supply this knowledge to your marketing team, so they know which customers and products to target.
Each time a product with a high return rate is purchased or a customer with a high return history completes a transaction— send them a focused e-mail.
Identify the faults in your product through returns reason codes and customer data:
For instance, if a customer orders a red coat, and you've identified through user feedback and return reason codes that this coat runs slightly small, gather or create content that highlights slim-fitting red coats.
Send the content you've curated or created, to the customer, with a message along the lines of:
"Hi, Name: Thanks for purchasing our Crimson Red Coat! Check out how these 7 celebs are rocking the fitted 'tight is right' look this fall."
This concept incorporates cold hard data with some human psychology and clever content marketing to re-target your buyers through e-mail to re-affirm confidence in their purchase, and helps lower the likelihood of a product return.
Product reviews provide both considerable SEO and sales benefits for eCommerce retailers, but let's not forget that they also help reduce product returns.
Product reviews empower customers to make better, more well informed decisions, which ultimately lead to fewer regrets.
Incorporating product reviews is such an effective returns prevention strategy that PetCo reported that products with customer reviews had a 20.3% lower return rate than those that didn't.
Researchers at Boston University recently conducted a study that examined the impact of product reviews on returns, they used the following key factors in their analytical modeling:
Higher rated reviews also correlated positively with high precision.
Despite the findings for high precision and high rated reviews, products with a variance in their ratings resulted in unclear signals of product quality for consumers, which resulted in higher results.
So it's important that most your reviews indicate a strong overall (hopefully positive) trend.
Retailers should work to implement product reviews for each of their products, and encourage customers to provide accurate and insightful product reviews.
Retailers should also consider implementing a user voting system, where costumers can vote on helpful reviews, as that will increase the valence of the information, and result in a stronger perception of product quality.
Although returns are a bitter pill to swallow, ultimately— they provide retailers a complete view of their customers, processes, and products.
One of the primary realizations retailers have when they start to think of ways to reduce the volume of their product returns, is how important customer metrics and data can be.
Learning as much as you possibly can about your returns and exchanges process, in top to bottom manner will arm you with the knowledge to make better business decisions.
Which is why the final best practice for Shopify retailers is to make returns prevention an organization goal, which encapsulates members from all areas of your team, including:
By applying the data driven practices at an organization level, retailers are able to fine tune a process that will yield minimal returns.
To maximize the impact of these strategies, schedule regular meetings with relevant team members and assign focused tasks and objectives, that incorporate into your returns prevention plan in a meaningful way.