A Complete Guide to Retention Marketing in 2027

A customer who has reordered the same coffee pods every month for a year isn’t a sure thing. These days, all they need is a price rise, a late delivery or a points balance they can’t work out how to spend, and their 13th order will go somewhere else. With retention marketing you can stop that from happening: with a welcome series, a refill reminder that arrives just before their last box runs out, a loyalty program that’s just plain easy to use, or a win-back email that talks honestly about the reason they drifted away and offers a more compelling reason to stay.

However, retention marketing, coming into 2027, is getting harder. In SAP’s Customer Loyalty Index 2026, 57% of consumers say they’ve switched brands because of cost, and half have switched after a bad experience. For the first time in six years of the research, loyalty built on discounts and rewards has fallen below 40%.

This changes what brands need from retention marketing programs. A discount won’t fix a delivery that arrived broken, and it won’t help someone who’s given up trying to redeem their points. So my starting point for any retention program is to work out why a particular customer might leave, then answer that: a better price, a faster fix, or a reason to come back that has nothing to do with money.

This guide covers what retention marketing is and how to measure it, how it differs from acquisition, where personalization and AI fit, and nine tactics you can put to work.

Retention marketing is everything a brand does to bring existing customers back. With acquisition marketing, brands go looking for strangers to engage and acquire. With retention marketing, they talk again to customers they’ve already acquired: the runner who bought trail shoes in March and will need a new pair by fall, the parent who orders the same baby formula every two weeks, or the customer whose last package turned up three days late.

The marketing teams for each of those brands will (ideally) have bang-up-to-date information about what each of those customers bought, when they bought it and what, if anything, went wrong. Good retention marketing is all about using that data to send them something they’ll be glad to get.

Retention marketing is easy to confuse with customer retention, but they aren’t the same thing. Customer retention is the result of good retention marketing: how many of your customers are still buying from you at the end of a quarter or a year. Retention marketing is the effort spent on keeping them.

Retention marketing includes:

• the welcome email a new customer reads on the bus home
• the onboarding series that shows them how to get more from what they bought
• the cross-sell that suggests what goes with it
• the loyalty program
• the recommendations
• the win-back campaign for the ones who’ve gone quiet

When it works, the customer doesn’t feel marketed to. They feel remembered: the brand knows their size, knows the last order was late and doesn’t send them a discount on something they bought yesterday.

Customer retention measures how well a business keeps its existing customers over a given period. It’s the opposite of churn, and it’s one of the clearest signs of whether your product, pricing and customer experience are working.

Retained customers cost less to serve, spend more over time and refer others more readily. They already trust your brand and understand your product, so you don’t have to convince them from scratch.

SAP’s Customer Loyalty Index 2026 shows different types of loyalty moving in different directions. True Loyalty is SAP’s measure of loyalty “built on trust, love, and devotion to a brand.” It partially recovered to 32% in 2026, up from 29% in 2025.

The report reads this as customers “becoming more selective about where they place their trust.” Over the same year, Incentivized Loyalty, which is built on discounts and rewards, fell from 48% to 38%.

The most common type is Silent Loyalty: customers who stay loyal to a brand they would not endorse or advocate for publicly. In 2026, 58% of consumers show Silent Loyalty, the highest reading in six years of the research.

The report also finds that 69% of consumers consider themselves loyal to brands, and much of that loyalty is quiet. These are the customers who reorder without ever leaving a review or recommending you to a friend. You’ll find them in your order history, not your referral program.

Trend Loyalty is the short-lived kind driven by social influence, viral appeal or cultural momentum. It edged up to 15%, while Inherited Loyalty (23%) and Ethical Loyalty (25%) each slipped slightly.

The customers to watch are the deal-seekers. When an AI assistant can compare prices in seconds, there’s little to hold them. As the report puts it, AI means “customers no longer need to stay loyal simply to access the best deal.”

For the full picture of what’s changing, see our breakdown of brand loyalty trends.

Product loyalty isn’t brand loyalty

More than half of consumers (56%) say they’re more loyal to a specific product than to the brand. A customer who reorders the same moisturizer every month may have little interest in the rest of your range.

Change its formula, raise its price or let it run out of stock, and that customer may not browse your range for something similar. They’re more likely to buy their old favorite somewhere else.

So only send the reorder reminder when the product is in stock. Few things annoy a regular more than clicking “buy again” and finding it sold out.

Then use what they’ve bought before to suggest something that goes with it, such as the cleanser that suits the moisturizer they already love.

In B2B, loyalty is rising but conditional

B2B buyers say they’re more loyal than they were a year ago. In SAP’s B2B Buyer Loyalty Index 2026, 77% consider themselves loyal buyers, compared to 71% in 2025. And 75% have a favorite supplier that they trust, compared to 72% in 2025.

That loyalty has limits. In the same research, 69% have switched due to poor service, declining quality or costs, and 66% have switched due to poor communication during disruptions.

And 69% would switch suppliers if an AI agent found a better option. A buyer can trust their favorite supplier and still be one better AI-sourced quote away from leaving.

Shoppers and procurement teams leave for similar reasons. Sometimes it’s a botched order or a supplier that went quiet during a disruption. More often, nobody gave them a strong enough reason to stay.

Understanding customer retention trends and building retention and loyalty strategies around the reasons your own customers give for leaving is where retention marketing starts.

Calculate the share of your starting customers who remain at the end of the period:

Customer retention rate = ((E − N) ÷ S) × 100

• E is the number of customers at the end of the period
• N is the number of those customers acquired during the period
• S is the number of customers at the start of the period

Say you start a quarter with 1,000 customers, gain 200 new ones who remain at quarter-end and end with 1,050. Subtracting those 200 leaves 850 customers from your starting group. Your retention rate is (1,050 − 200) ÷ 1,000 × 100 = 85%.

To judge that result, decide what counts as a retained customer and use a period that fits your business. For a subscription business, that might be anyone with an active subscription. For a retailer, you need a consistent purchase window.

Someone who buys a few times a year shouldn’t count as lost after a month without an order. Purchase frequency, switching costs and how the product fits into the customer’s routine all shape what a healthy rate looks like.

The most useful benchmark is your own retention rate, measured the same way every time and improving quarter over quarter.

Retention and acquisition aren’t competing priorities. They serve different purposes at different stages, and the best businesses invest in both. They just work, cost and build value in different ways.

Acquisition without retention is a leaking bucket. Every dollar spent on a customer who doesn’t come back is a dollar you’ll spend again next quarter to replace them.

As customer acquisition costs keep climbing, the math tilts further toward the customers you’ve already paid to win. For the other side of the equation, see these data-backed customer acquisition strategies.

Personalization is one of the strongest retention levers a brand has, but it’s about more than picking the right product. Sometimes the most personal message you can send is a fix for last week’s late delivery, a reward the customer will actually use or a reminder that their favorite serum is nearly gone.

In the Customer Loyalty Index 2026, 60% of consumers say feeling personally valued makes them more loyal. Asked what they expect in return for their loyalty, consumers named benefits that fall into three groups:

• Financial value: better deals (46%) and personalized rewards or cashback (37%)
• Service value: great customer service (43%)
• Experience value: seamless experiences across interactions (25%) and more personalized experiences (23%)

In return for their loyalty, as the report puts it, “customers expect more than discounts and rewards.” A deal-seeker is different to a customer who mostly cares about quality of service, and both of those customers’ needs can change over the course of a month or a year.

Someone with an open complaint doesn’t want a sales email; they want the complaint sorted. Purchase, service and engagement data are how you tell those moments apart.

Most brands aren’t there yet. In SAP’s Global Engagement Index Report 2026, 58% of consumers think most marketing emails they receive aren’t relevant. The report also finds that 44% say brand interactions feel less personal and more generic than before, and 37% believe brands don’t personalize content to their needs.

Only 21% of brands reach the high stage of SAP’s engagement maturity scale. For most retention teams, the blocker is data. If service tickets and order information never reach marketing, the next campaign can cheerfully recommend another purchase to a customer who’s still waiting for a refund on the last one.

This is an infrastructure problem. A personalization engine that brings data from every channel together helps close that gap, and these data-driven personalization strategies show what that looks like in practice.

Think about one customer who used to order every month and hasn’t been back since August. Somewhere in your CRM team, someone is hoping an AI model will spot her before she’s gone for good.

Meanwhile, she’s asked her own AI assistant to find a cheaper version of her usual order, and it has come back with three of your competitors.

AI on the marketer’s side

In the Global Engagement Index Report 2026, 78% of brands see AI as essential for retaining customers in 2026. Yet fewer than 40% share their customer engagement data with either a CX platform or a CRM platform.

Without that data, the AI can’t do much. A churn model can only warn you that a customer is drifting if it can see the orders getting smaller and the emails going unopened.

When the data is connected, AI takes on work no CRM team could do by hand. Predictive analytics can flag the customer whose orders are slipping weeks before she stops altogether, while there’s still time to ask what went wrong. AI-powered segmentation can group customers by what they’re likely to do next, not just by what they did last month.

AI can also learn that one customer reads email on the train at 7am and another only looks at push notifications on a Sunday evening, then time each message to match, across email, push, SMS and web. And instead of recommending whatever someone last browsed, AI-driven recommendations can suggest what they’re most likely to want next.

SAP Engagement Cloud builds AI marketing into its personalization engine, segmentation and automation capabilities. That way, a retention campaign can respond to what a customer does when they do it, instead of waiting for the next scheduled send.

AI on the shopper’s side

Your customers are using AI too, and it can pull them closer. In the Customer Loyalty Index 2026, 31% say interactions with AI assistants make them more loyal to a brand, and 33% trust AI assistants to complete purchases on their behalf.

It can also pull them away. The report finds that 30% have already switched from a brand they were loyal to because of their use of AI, rising to 45% for Gen Z.

Most shoppers don’t want to hand the decision over completely. Six in ten (60%) want shared control between themselves and AI, compared with 20% who want full human control and 4% who want it fully autonomous. And 56% want to be able to reverse AI decisions.

As the report puts it, “Loyalty lives in the shared-control zone.”

Picture a shopper asking their assistant to reorder the usual groceries for less. If your prices or stock levels are out of date wherever the assistant looks, it will quietly send them somewhere else.

The same care applies to your own automation. When it makes a decision for someone, like swapping an out-of-stock item or applying a reward, give them an easy way to check it, undo it or talk to a person.

These are the nine campaigns retention teams come back to again and again, from the first email a new subscriber gets to the message on their birthday. Each one is available as a pre-built, customizable tactic inside SAP Engagement Cloud, so you don’t have to build it from scratch.

1. Welcome series for new contacts

Your first interaction after signup sets the tone. A welcome series introduces your brand, sets expectations and gives an early incentive to buy. SAP Engagement Cloud’s Welcome (new contacts) tactic automates the flow the moment someone joins your list.

2. Post-purchase cross-sell campaigns

A customer who has just bought is more receptive than they’ll be for weeks. Because so many customers are loyal to a specific product rather than the brand, build each cross-sell around the product they chose: the case for the new phone, the conditioner that goes with the shampoo, the refill before the first one runs out.

Test when to send it, a day or two after delivery or later in their buying cycle, and let the results set your timing. SAP Engagement Cloud’s AI-powered engine matches recommendations to each customer’s purchase history.

3. Win back inactive customers

Not every lapsed customer is lost. But they didn’t all leave for the same reason, so they shouldn’t all get the same offer.

In the Customer Loyalty Index 2026, 57% of consumers have switched brands because of cost, the same share because product quality declined, and 50% after a bad experience. Inactivity alone doesn’t tell you why someone stopped buying, so look at their feedback, service records and purchase history before you decide what to send.

• They left over price: consider a tailored incentive or a lower-cost alternative.
• They left over quality: explain what has changed, or why an alternative better suits their needs, before asking them to buy again.
• They left after a poor delivery, return or service call: acknowledge the problem and fix it first. A discount on top of an unresolved complaint leaves the original reason for leaving untouched.

Then remind them what they used to buy, show them what’s new and reach out while they still remember you. Leave it six months and you’re just another stranger in their inbox. EcoFlow’s story further down shows what a single, well-targeted win-back campaign can do.

4. Loyalty program integration

Loyalty programs work best when they’re woven into the customer experience, not bolted on. Points alone hold fewer customers than they used to: in the Customer Loyalty Index 2026, Incentivized Loyalty fell from 48% to 38% in a year, and 32% of consumers have switched because loyalty rewards were difficult to use.

Nobody stays loyal to a points balance they can’t find. Show it in every channel and make redeeming it as simple as checking out.

SAP Engagement Cloud’s native loyalty capabilities let marketers build tier-based programs, reward actions as well as purchases, and put loyalty content into campaigns, such as tier status, points balance and rewards. A built-in dashboard tracks enrollment, redemption and the revenue gap between loyal and non-loyal customers.

5. Enhance customer data for personalization

Your retention campaigns are only as good as the data behind them. SAP Engagement Cloud connects customer, sales and product data across CX and operational systems, including ERP, supply chain and BI software, through composable onboarding and real-time event triggers.

Enriching profiles through preference centers, behavioral tracking and purchase history is the foundation for relevant, timely outreach.

6. Onboarding series for new subscribers

As important as your Welcome series is, it’s table stakes for any brand. A proper onboarding series educates new customers, surfaces relevant content and guides them toward their second and third purchases. That builds the habit that turns first-time buyers into regulars.

7. Personalized product recommendations

AI-driven recommendations based on product affinity, channel preferences and purchase predictions outperform static “best sellers” lists every time. SAP Engagement Cloud’s recommendation engine delivers them across email, web and mobile in real time, and keeps them consistent across channels.

8. Post-purchase feedback collection

A short feedback request a few days after delivery shows the customer you care how it went, and it tells you what to fix.

Half of consumers (50%) have switched brands after a bad experience, according to the Customer Loyalty Index 2026. A feedback reply is often the first place you’ll hear about one, while there’s still time to put it right.

Route complaints straight to the team that can resolve them, and treat recurring issues as a reason to change the journey, not just the email.

9. Birthday and anniversary celebrations

A birthday or customer anniversary is a rare chance to get in touch without asking for anything. Make the message about them, and if there’s a gift or discount, make it obvious how to claim it.

Then test it against your standard promotions on opens and conversions, so you know how much that recognition is worth to your customers.

Tactics are important building blocks but it’s these five practices that separate the brands customers fall in love with from the brands they’ve forgotten by Friday.

1. Personalize every touchpoint

Personalization goes well beyond the subject line. It’s the website recommendation that builds on last week’s order, the service message that acknowledges the package that arrived damaged, and the offer that lands in the week a customer usually buys again.

Customers feel personally valued through small signs that you remember them, and those signs fall apart when one channel doesn’t know what happened in another.

SAP Engagement Cloud’s personalization engine lets marketers build content once and use it in every channel with drag-and-drop tokens. It draws on unified customer data from CX and operational systems.

2. Build automated lifecycle journeys

Manual campaign management doesn’t scale, and it leaves gaps that customers fall through. Map your customer lifecycle marketing strategy from first purchase through loyalty and win-back, and decide what moves a customer between stages: a completed order, a repeat purchase or a few quiet months.

Then automate the messages, with conditions that pause them, so nobody gets a “we miss you” email while they’re waiting on a refund. That’s marketing automation for personalization working with the relationship, without your team rebuilding each campaign by hand.

3. Create value beyond the transaction

If the only time a customer hears from you is when you want them to spend, they tune out. Rewards-based loyalty has dropped below 40% in the Customer Loyalty Index 2026, so a discount on its own is a thin reason to stay.

Advice on getting the most from a product, early access, educational content, good service and a sense of community give people reasons to come back that have nothing to do with price.

The strongest loyalty programs reward engagement as much as spending. Lean too hard on promotions and you train customers to wait for the next markdown. For a primer, see our guide to customer loyalty.

4. Measure leading indicators, not just repeat purchases

Repeat purchase rate tells you what already happened. The Customer Loyalty Index 2026 also asks how customers express loyalty. Compared with 2025, fewer report frequent shopping, recommendations or loyalty scheme use, while more report content engagement and other forms of participation:

The report’s advice: “Use AI to identify emerging signals of loyalty beyond purchases, such as content engagement, subscription interest, and channel preferences.” Track engagement metrics such as email opens, app usage, website visits and satisfaction scores alongside purchases.

A customer who has stopped opening your emails and hasn’t opened the app in a month hasn’t left yet, but they may be about to. Spotting that in your own data gives you time to step in. For more on the metrics that matter, see our guide to increasing customer loyalty and retention.

5. Continuously test, optimize and refine

Retention isn’t set-and-forget. Treat every campaign as an experiment: A/B test subject lines, send times, offers and channels, then feed what you learn into the next round. Small, steady gains in open, click and conversion rates add up over a year.