Tefal Doubled its Revenue from Direct Marketing Thanks to Customer Base Segmentation, Trigger-Based Emails, and A/B Tests

One of the largest global manufacturers for home and kitchen appliances, having been on the market for 70 years. The brand is part of the multibrand Groupe SEB consortium.
Maria Daniltseva,
media and CRM manager, Groupe SEB
Merge multiple sources with customer details. Boost customer engagement and revenue share attributed to direct marketing
Consolidate customer data into a single platform

Segment the customer base, create and implement a communication plan

Carry out A/B tests on campaigns

IT stack. 

Mindbox Marketing Automation Platform
Email marketing revenue has doubled in comparison to pre-implementation figures

80% of the total direct marketing revenue is now attributed to trigger-based email campaigns  

Time to value. 

5 months
Noteworthy features
20 A/B tests launched alongside trigger campaigns at the start of the project
The following case study is from Mindbox, the original brand behind Maestra’s technology
Immediately upon integration with the CDP, Groupe SEB — owner of the Tefal brand — consulted Mindbox to boost their direct marketing revenue. The team decided on an innovative approach where campaigns were A/B tested to find the best fit during their initial launch. This differs from the traditional approach where you set up standard campaigns, launch bulk emails, and only then begin to personalize them. Groupe SEB Marketers started to build a model of the customer communication process using the customer base of Tefal — the largest brand in the Group.
We’d like to share with you:
  • What we achieved by consolidating customer data and implementing a new communication strategy;
  • Why we chose Mindbox;
  • How we segmented the customer base based on life cycle and created a communication plan for each segment;
  • Our experience with A/B tests: why we launched trigger campaigns simultaneously with A/B tests, the insights these tests provided and how they can be applied to online and offline sales.

Implementing the Marketing Automation Platform and Re-Designing Direct Communications: The Outcomes

Growth rate: revenue attributed to personalized trigger scenarios in direct email marketing relative to the total revenue of the online store

Five months after implementing Mindbox, email-attributed revenue increased by 7 times. The average monthly email revenue doubled compared to pre-implementation figures. Due to the new trigger campaigns, revenue continues to grow steadily each month

Share of revenue generated by trigger-based emails relative to the total direct marketing revenue

The share of revenue from trigger-based campaigns relative to the total direct marketing revenue increased from a mere 2% to 80% in just 5 months. This came as a result of adding 23 trigger campaigns (where there were none previously). Triggers help automate campaign personalization, saving marketers hours of work, and communicating with customers at the right time. The data for this chart was collected using last-click attribution

Challenges and Solutions

Before implementing the marketing automation platform, Groupe SEB used to store customer data separately: this included retail stores, seven online stores of multiple brands, and service centers. We understood that our regular customers were the loyal audience that could help us form the right business proposal and whom we want to communicate with. This is why we decided that the best first step would be to consolidate all customer data in one platform to see how many unique customer records we have and what data each of these records contain.
The next milestone was communication. Groupe SEB started working on direct marketing communications with the Tefal customer base as it had accumulated the lion’s share of customer data. This paved the way to setting up a large business segment and testing multiple campaigns. The data and insights from the Tefal project apply to other brands of Groupe SEB as well, such as Moulinex, Rowenta, and KRUPS.

Selecting The Platform

Segmentation and Communication Model

The RFM (Recency, Frequency, Monetary) model was used to better understand and manage customer behavior. Using this model, the customer base was divided into 5 distinct segments:
  • New customers: registered less than 30 days ago, no orders;
  • New, but at-risk churn customers: registered 30+ days ago, no orders;
  • Loyal customers: 1+ orders, who last purchased up to 60 days ago;
  • At-risk churn customers: 1+ orders, who last purchased 60–100 days ago;
  • Churn customers: 1+ orders, who last purchased over 100 days ago.
An individual communication plan was implemented for each segment depending on customer behavior. Examples of these segments could be when a customer registers, leaves the website without any purchase, makes an order, or has not purchased anything for a long time. Automated workflows help stimulate new customers and active buyers to make purchases and revive churned customers.
Each communication scheme also contains machine learning-driven emails with the Next Best Action (NBA) algorithm. This determines when it would be best to send a campaign. An additional feature was also added to validate customer contact details to ensure that the database is clean with legitimate data at all times.

Campaigns by Segment

New customers
Loyal customers before order
Loyal customers after order
Churn with orders
Churn without orders
All segments
Welcome email series
Abandoned cart
NPS survey
Reactivate Churn-risk
Reactivate with a survey
Abandoned item browse
Ask for feedback
Revive Churn
Send a promo code after the survey
Revive interest in non-readers
Abandoned category browse from multiple devices
NBA-based products offer
Collect data
Reactivate those in doubt
Collect data

Message Content

Once the customer base was segmented, message content was then prepared before activating the trigger-based campaigns. To ensure our trigger-based email sequences were effective, we focused on the email subject and header, layout frames, the message intro, as well as the products, URLs, and CTAs we wanted to include. Each email must be unique with relevant contents that help the campaign reach the desired target. These might include promo codes, links to item pages, YouTube videos, or surveys. Finally, email briefs were created for the agency to use when creating emails.
Message brief suggested by Mindbox’s consultants
Sample of what the final result might look like

Trigger-Based Campaigns

  • 19
    trigger-based campaigns activated over the course of 5 months 
Trigger-based campaign sequences can contain multiple emails, all aiming to stimulate purchases. These campaigns can include include welcome, abandoned cart, abandoned browse, and churn revival emails that are delivered with a relevant offer at the right time. For example, an email with a promo code can be sent after a campaign with new products is unsuccessful.
We also track the number of deliveries, revenue, open rate, and click rate for each message. This helps evaluate its effectiveness and effect on customers. In the welcome series, click rates gradually decrease with each new email, with the exception of the third message which has the lowest metrics. This message is then a weak link and needs readjustment, while the others sustain the desired outcome:

Welcome Email Series for New Customers

Welcome 1
Once the customer registers on the website, they get this welcome email with a selection of popular products
Welcome 2
If the customer has not made a purchase, the trigger-based workflow will send a message that includes delicious recipes with links to YouTube &Instagram, and a new selection of popular items
Welcome 3
The next email in the series offers customers help with selecting the right items for their needs and informs them on how to contact the service center. It also contains info on delivery and returns
Welcome 4
If the customer is still hesitant, the platform sends out the final email in the series, describing the benefits of owning a Tefal product and offering a promo code
The communication workflows also contain survey emails designed to gather more customer feedback and evaluate how happy they are with their purchase or why they haven’t yet made one.

Reviving Interest of New, but At-Risk Churn Customers with Surveys

A survey provides insight into why the customer did not make a purchase. On average, 15% of customers take the survey
After taking the survey, the customer gets a promo code for a discount

Surveys for Loyal Customers Offered After Purchases (NPS)

Once an order has been completed, each customer is asked to rate the service from 0–10 points — 0 being the lowest and 10 being the highest, with 7 &8 considered neutral scores that will not be counted. To calculate Net Promotion Score (NPS), the following formula is used:
The results of the NPS determine if Tefal customers are satisfied with the service and where there is room for improvement. Follow-up scenarios for such surveys are trigger-based. So, the company has a tool to promptly act upon receiving a negative response and to mitigate its effect. Enthusiastic customers are offered to share their positive experiences by leaving an online review.
Whenever a customer’s response is between 0–3 (negative) or 4–6 (complaint), the tool auto-generates a technical request to the store’s quality control department. They contact the customer, learn more about the problem, and resolve it. These technical messages are broken down into two scenarios as the two score ranges require different levels of urgency from the quality control team.
It is only when a customer is totally satisfied (with a score of 9–10) or enjoyed the service they received overall (with a score of 7–8) that we ask them to leave a review.

A/B Tests

  • 20
    A/B tests were performed simultaneously with the launch of trigger-based campaigns
A/B tests were launched at the same time as the trigger-based campaigns. Usually, A/B tests take place after all basic campaigns are put in place, such as triggers related to abandoned carts, abandoned items browsed, or abandoned categories browsed. Here, messages were sent and tested simultaneously.
For the A/B test, the team chose a customer base segment and relevant campaigns. Then they came up with some hypotheses as to what could result in higher open and click rates. Finally, they calculated the sample size, launched the test, and got their results and insights.
Test results are used to review campaign content and help anticipate the preferences of customers in the chosen segment. In particular, one A/B test showed that customers with no purchase history are more willing to participate in surveys, whereas those with a purchase history value promo codes more.
Tested hypothesis
Open rate and click rate winner
Churn without purchases
Promo code vs. survey
Variant 1: Email with a survey
Variant 1 with a survey
Churn with purchases
Variant 2: Email with a promo code
Variant 2 with a promo code
Sometimes emails include ads with celebrities, e.g., from showbiz. There was a hypothesis that customers would show a better open rate and click rate for messages with a celebrity name in its subject. The hypothesis failed. The open rates were the same, while the click rate was 80% higher for messages with a customer’s name in the subject line.
Tested hypothesis
All segments
Message subject
Variant 1: Subject mentions a celebrity’s name
Variant 2 with the customer’s name in the subject line improved the click rate by 80%. However, the open rates showed no statistically significant difference
Variant 2: Subject contains the recipient’s name
If we see a higher conversion for campaigns with “As Seen On TV” labels in our A/B tests, we will then apply this insight to our POSMs or e-commerce

Plans for Direct Marketing Development

1. Create segments that are more targeted and set up personalization based on purchase analysis. Purchase tracking helps to profile customers: who they are, what they prefer, and what else we can offer them.
2. Set up cross-channel communication and determine the best communication channel for each customer or segment. If a customer doesn’t open emails, they might be more inclined to open an SMS, a WhatsApp or a Telegram message. If they still do not read any messages, this might mean that the only valid communication channel for them is a mass media campaign.
3. Apply the same workflow-based campaigns that proved effective for Tefal. to other brands belonging to Groupe SEB, u
P. S. In this story, we mentioned our Customer data platform (CDP) and Website personalization modules. Find out more about these products by clicking the links or schedule a discovery call to talk to us.