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Boosting Your Customer Referrals: Tips and Tactics

Boosting Your Customer Referrals: Tips and Tactics

Christophe Van den Bulte, Emanuel Bayer, Bernd Skiera and Philipp Schmitt

This article was originally published in the Keller Center for Research Report.

You may already intuitively know that customers referred by other customers are the best kind. They are, in fact, more loyal and profitable than customers that come from other sources. While past research has shown as much, what had not been investigated before were the reasons behind these benefits. Two explanations are better matching and social enrichment.


Better matching refers to the notion that referred customers match with a firm and its offerings better than nonreferred customers do. Social enrichment refers to the idea that the relationship between the referred customer and a firm is better because of the presence of the referrer—a person who is familiar with both sides.

In our study, we analyzed data from a German bank on almost 1,800 referred customers and their referrers. Referrers who brought in a new customer received a €25 voucher. We first checked that referred customers generated higher margins and were more loyal than non-referred customers, resulting in a customer lifetime value that was 16% to 25% higher. Then, we tested for behaviors and patterns that should occur if referred customers’ superior profitability and loyalty stem from better matching and social enrichment.

Our findings indicate that better matching is indeed at work when it comes to the referred customers’ higher margins and that social enrichment plays a role in their superior loyalty. These tests and conclusions shed light on why referred customers are more valuable and can help firms maximize the benefits of customer referrals. Below, we explain better matching, social enrichment, and our findings more in detail.

Better Matching: Active and Passive

The idea that referred customers match with a firm’s product or service better than nonreferred customers do—better matching—can be the result of active or passive matching. Active matching involves a deliberate effort to screen and select referrals for a firm. Because referrers already know a firm’s offerings as well as the people they refer, they can act as matchmakers between the two.

Passive matching, on the other hand, stems from the tendency of people to connect with people like themselves. This idea implies that a referrer and the new customer the referrer brings in share several characteristics. Since an established customer is already likely to be a good match with the firm, it follows that his or her referred customer will be, too.

Shared Characteristics Are Relevant to Profitability

These shared characteristics between a referrer and their referred customer must be traits that firms cannot easily identify on their own (otherwise, the firm would not need a referrer to acquire a better match). For better matching to occur, these characteristics must also be related to the potential value an individual can bring to the firm. Trust, budget flexibility, and openness to advice from sales professionals are examples of such characteristics. The result of our first test supports the idea that these shared, hard-to-observe characteristics are associated with the contribution margins of both the referrer and the customers they bring in. In short, because referred customers are similar to their referrers in ways that are significant for the firm, they are more profitable than nonreferred customers.

More Experienced Customers Bring in the Money (at Least for a While)

The relationship between the firm and a referrer is important because it influences how well the referral will match with the firm. The better the relationship, the better the match. If a customer has been with a firm a long time, then it is likely that this relationship is positive and that the customer is a particularly good match with the firm. As stated earlier, it follows that their referred customer will be, too.

Additionally, customers who have a longer history with the firm typically understand its offerings well and are fond of the firm. This translates into successful efforts to pick good referrals, instead of just trying to pocket the reward. The results of our second tests suggest as much: referrers who have been customers of the bank for a longer period brought in referred customers with better margins than more recently acquired referrers did.

However, these superior margins are only temporary. Since referred customers are good matches with the firm, they easily find offerings they like, are willing to pay for them, and require less help to understand and use them—all of which lead to initial high margins. However, as nonreferred customers learn more about a firm’s products or services and as a firm learns more about what these nonreferred customers want, the difference in margin between referred and nonreferred customers decreases until it eventually disappears.

Social Enrichment Makes Your Customers Stay Longer

Referred customers are more loyal than nonreferred customers because they have a relationship with a fellow customer—their referrer. Referred customers can get guidance about the firm’s offerings and procedures or receive help from their referrers in other ways. Having this relationship strengthens their trust, attachment, and satisfaction with the firm.

At the same time, this relationship means that if the referrer leaves the firm, his or her referred customer will no longer experience these benefits and, as a result, become just as likely to leave the firm as other customers. The findings from our last two tests corroborate these ideas.

Read the Full Article

Van den Bulte, Christophe, Emanuel Bayer, Bernd Skiera, and Philipp Schmitt (2018), “How Customer Referral Programs Turn Social Capital into Economic Capital,” Journal of Marketing Research, 55 (1), 132–46.

Christophe Van den Bulte is Gayfryd Steinberg Professor, The Wharton School, University of Pennsylvania. He teaches marketing strategy and data analysis at Wharton. His research focuses on new product diffusion, word-of-mouth, and social networks. Professor Van den Bulte is Associate Editor at Marketing Science and the Journal of Marketing Research, and also serves on the Editorial Boards of the Journal of Marketing, the International Journal of Research in Marketing, and the Journal of Business-to-Business Marketing.

Emanuel Bayer is Professor of Marketing Management at Baden-Wuerttemberg Cooperative State University Mannheim. Dr. Bayer’s (PhD – Goethe University Frankfurt) research interests include data-driven marketing, online marketing, marketing analytics, and value-based customer management.

Bernd Skiera is Chaired Professor for Electronic Commerce, Goethe University Frankfurt Dr. Skiera’s (PhD – University of Lueneburg) research interests include electronic commerce, online marketing, marketing analytics, consumer privacy, and value-based customer management. Dr. Skiera founded Marini Systems (, supporting companies when implementing robotic selling solutions. He is a member of the managing boards of the eFinance-Lab as well as the Schmalenbach Society, and he serves as the National Representative for Germany at the European Marketing Academy (EMAC).

  Philipp Schmitt (PhD – Goethe University Frankfurt) works in the financial services industry and is affiliated as researcher with the Goethe University Frankfurt. His research focuses on drivers of customer value and managerial decision-making. Current projects investigate the impact of recommendation intention on customer value, and the extent to which managers use heuristics and whether doing so leads to good results.