Effective Principles of Clienteling

Clienteling

The word clienteling came about as a rhetorical use of the noun clientele. It was used to describe activities one might take when working with their clientele, and is used now primarily as a verb to describe those activities. The word Clienteling now also describes initiatives or programs (manual or software-based) which revolve around these activities, much like CRM describes solutions for managing customer relationships.

Looking at the broader definition of Clienteling, I often define it as a philosophical approach to better serving ones customers (clientele). An approach focused on highly personalized service that is established over time through a learning relationship.

While the verb clienteling might describe most activities associated with the sales process, the more common activities can be summed into three key elements:

1. Access to information to assist the customer while in the store 
2. Customer profile enhancement (likes, preferences, wish lists, etc.)
3. Personalized customer communication (outreach)

While personalized communications finds itself last on the list, it is in actuality the primary goal of a long-term Clienteling program. It is through the successful completion of the other two items, however, that this communication becomes meaningful and effective.

The Customer Life-cycle

As described above, relationships are established over time. Selling is like any other relationship in that the more you know someone, the more you understand their needs and wishes. You don’t learn everything about a person in a single encounter. But over time, as the relationship matures, your understanding of them improves, and your ability to relate to them and to guide them improves as well. It is through the enhancement of the profile over time, that the communications can be more targeted and meaningful for each and every customer.

The following graphic highlights how a customer/associate life-cycle can change over time. From the first time encounter, whereby the associate needs to identify the immediate need, to a long-term relationship, where they are able to anticipate needs, make personalized suggestions, and follow-up regularly.

The Pareto Principle

Any Clienteling initiative should be designed in such a way as to get the most benefit for the least cost. The Pareto Principle states that roughly 80 percent of the effects of an activity are derived by 20 percent of your efforts. This principle holds true for retail as well, where for most retailers roughly 80 percent of all sales come from 20 percent of the customers. This 20 percent are the most loyal customers, and most often shop the most categories of merchandise. 

With this general understanding in mind, many clienteling activities focus almost exclusively on the Top 20% of customers. The logic being that an increase in sales of 10% with this segment represents an increase of 8% for the enterprise as a whole. It would take an increase of 40% in sales for the remaining customers to equal this same 8%. Obviously the cost to reach 80% of your customers is also significantly higher than for the 20%, so this approach makes sense on a number of levels.

There are three items to consider, however, with using this approach exclusively:

1. Over time customers attrite, albeit at a much slower rate with the 20 percent, so a focus solely on this group of customers at the exclusion of other will see your pool of customers diminish
2. First-time customers may take some time to qualify as a top customer, and without appropriate guidance from the store associate the relationship may never mature to this point
3. These customers are most often already your loyal customers, and may already be benefiting from some form of Clienteling, so the gains might not be as immediate as with customers previously ignored in these efforts  

So, while there is tremendous benefit to focusing on these top customers, you can see that this effort alone will have diminishing returns over time. For this reason, it is important to also nurture elements of the 80 percent, but to do so in a highly targeted and strategic manner. The most effective approach is to focus most energies on the top tier of customers, but to design targeted in-store “campaigns” around segments of the remaining customers. These in-store campaigns for non-clients might include one year follow-ups, replenishment items, birthday/anniversary wishes, in-store events tied to past purchases or noted wish lists and preferences, etc.

The below graphic demonstrates these principles. In this diagram the word Customer defines a consumer that may not be in an associates “book”, while the word Client defines consumer that belongs to an associate’s book (or multiple associates’ books).      

     

Note:To a large degree the success of clienteling activities, and most specifically outreach, is tied to basic math. The more of your clientele you work with, the more successful you will be. While the old manual process only supported a limited book, and therefore the same customers were contacted over and over; this has changed dramatically with clienteling applications.  If we assume the average associate has 125 customers in their client book, and reached out to each customer every 2 months, that will consist of 750 interactions. While that number sounds good at first, if you break this down to the workday it is far less impressive. This 750 communications averages only three a day. By augmenting this list of clients with targeted customers, an associate can double their outreach without losing focus on their best customers.   

Putting It All Together

The typical customer life-cycle goes from a first-time buyer, to a repeat customer, ultimately to a long-term client. It is the goal of every retailer to move customers from point A to Point B, and eventually to Point C.  Working exclusively with customers who have reached Point C in the life-cycle has immediate value, but diminishing returns if new customers are not brought through their own journeys.  So the question becomes, how do you focus most efforts where they have immediate benefits, but not at the expense of those efforts that will pay off in the future?

This is accomplished by designing a program that enables the associate to keep their primary focus on their top customers (their Client Book), but to augment this activity with pre-defined scheduled and automate campaign types that support the nurturing of a larger segment of customers based on customer needs, life events, interests, and other relevant and personalized outreach.

Quantifying Clienteling

Quantifying Clienteling

I have been involved in dozens of Clienteling projects over the years, and am quite actively engaged in consulting on the topic with retailer to this day. One question that invariably arises is how do you go about quantifying the results of clienteling efforts?  If we are going to commit to a broad-sweeping change, how can I know if the efforts will work, or are working?

While it is a simple question, the answer is a bit more complex. This is the case for a number of reasons.

First, many retailers that have previously implement Clienteling did so with the intent of using this heightened service as a competitive advantage over their competition. As such, they are hesitant to discuss real-world successes, as they are content to be among the few who reap the benefits for as long as possible. So while there are clear benefits, you are unlikely to get much detail on them.  

Second, many of the retailers that undertake a new software-based clienteling initiative have already been practicing clienteling activities manually; so any measurable gain can really only reflects the incremental value of systematizing an already existing practices – not the entire gain of performing an activity versus not performing an activity. For retailer that are looking to implement clienteling for the first time (manual or software), the potential gains are even greater.

Third, many factors can impact the sales at a given point in time including staff, product, management, weather, Marketing efforts and events, seasons, etc. Isolating the value of one specific initiative if often fairly complex, especially as retail typically has numerous initiatives design to impact revenues.

So how then can we measure the effectiveness of clienteling?

The Scientific Method is the most accurate way to measure the success, or lack of success, of new methods, practices, or activities. Using this Scientific Method a retailer would identify “like” customers, associates, stores, etc. then divide these combinations into two groups – a study group and a control group. Using the study group they would then take the new actions, and in the control group continue to perform business as usual. Regrettably, as described above, there are so many factors that can impact sales that the combinations of these various factors make the Scientific Method impractical if not impossible.  

There are, however, a number of useful measures that can be used which in their combination serve to be more scientific in their approach, and help to quantify the value of Clienteling. 

1.        Affiliated Sales – affiliated sales is a concept that tracks the sales as a percent of total sales which can be attributed to “Affiliated” clients.  An affiliated client is one who belongs in a store associates book. A common measure for this ranges from 20-40% depending on the retailer. High-end luxury retailers tend to be on the higher side, while mid-priced retailers more toward the lower side of this range. What makes this number perhaps less valuable, however, is that simply affiliating with more customers can grow this number, even if no actual clienteling actions are implemented.
2.       Outreach Sales % – whereas Affiliated Sales does not focus on the actions taken by an associate, Outreach Sales shifts the focus primarily to the impact of a very specific activity – outreach communication. Outreach Sales % is a measure of the percent of all business that happened in a defined time-frame as a direct result of a personalized communication from an associate. If an associate proactively reaches out to a customer, and the customer makes a purchase (within a defined time-frame such as 14 days), this is then considered to be a direct result of the outreach. This is then expressed as a percent of total sales for the time period (most often 1 month). This is a common metric I suggest tracking, as it is rewarding measuring the effect of the efforts, and not just the activity.  This Outreach Sales number most typically ranges from 15% to over 25%, meaning that as much as 1 in 4 dollars can be a result of associate outreach activity. An interesting point of note on the topic of outreach is that one to one personalized communications coming from the store associate are far more effective than those coming from the Marketing department. In fact, a very typical response rate (making a purchase) to a personalized communication falls in the range of 12-20% -- exponentially better than even the best marketing campaigns.
3.       Affiliated Outreach Sales – an argument can be made that many of the customers who received an outreach communication may have wished to shop regardless, and therefore even this number is not 100% proof of the effectiveness of personal outreach to a customer. Affiliated Outreach Sales attempts to address this issue head-on. It is a measure of only those customers who are affiliated, and then looks at the percent of business derived from the affiliated customers who received an outreach communication in comparison to the percent of business for those who had not received a communication. A recent 1 month analysis showed that associates had communicated with approximately 1/3 of their affiliated customers, and this third represented 2/3 of all sales to affiliated customers. Literally ½ the number of customers generated twice the sales for the given month demonstrating the clear value to associate outreach communications.       

While the above metrics help to prove the viability of Clienteling, they are not always the only metrics tracked in a clienteling initiative.  In fact, the most common measures used to gauge the success of Clienteling are much more common statistics most often already in use. It is the impact on these metrics that helps to demonstrate the benefits of the initiative. Some of these include:

•          Total Sales
•          Average Transaction Value
•          Items/Units per Transaction
•          Margin
•          Sales Per Hour
•          Customer Frequency

Looking at these measures on the whole provides the most value in gauging the success of a program, but looking at these metrics as they relate to a specific set of customers (for example affiliated customers, prospect lists, targeted segments used for outreach tasks, etc.) can provide even more insight, and can help to prove the value of the efforts being performed.

Over the years I have been involved in a number of Clienteling deployments, and have had the pleasure of monitoring their success through most of these performance metrics. By focusing efforts in the store toward a specific measure, all of the above metrics can and have been impacted by clienteling activities with great success.