11 Ways To Win Back The Customers Who Ghosted You

Ask any marketer and (if they’re being honest) they will probably admit to being ghosted by at least one of the following usual lapsed-loyalty suspects:  

• The customer who used to buy every month and who hasn’t opened an email since spring  

• The loyalty member who drifted off without ever bothering to unsubscribe 

• The segment you’re still mailing but failing to engage. 

They’re not alone. Our Customer Loyalty Index 2025 found that 28% of consumers have switched brands due to boredom. Not a bad experience, not a better price, just nothing compelling enough to make them stay.  

And with True Loyalty down 5% year-on-year, the steepest drop since the Index began, that pile of lapsed contacts is growing faster than most teams realize. 

Identifying these suspects is the easy part. Actually doing something about it and being able to pivot at a moment’s notice to re-engage them is easier said than done. 

Our recent webinar “Who Really Owns Customer Engagement?” featured hands-on demos and offered a wealth of tactics aimed specifically at reactivating, re-engaging, and retaining the customers your brand fought so hard to acquire.  

If you missed that webinar, the good news is you can hit this link and stream it at your leisure. The even better news is we’ve stripped all the tactics from the webinar and written them up neatly in this blog to help you: 

• Reclaim lapsed contacts  

• Stop churn in its tracks  

• Launch campaigns in record time  

• Trigger campaigns based on real-time events  

• Gamify loyalty 

Each one is broken down the same way: what it’s for, how it’s used, and what to expect. 

Shall we? 

According to the Global Engagement Index 2026, 58% of consumers say most marketing emails they receive aren’t relevant. That’s how a database goes stale – not through unsubscribes, but through silence. 

1. Sunset flow with a re-subscribe option 

What it’s for: Cleaning your database and reclaiming contacts who’ve gone quiet. 

How it’s used: Build a sunset flow that sends a final “Are you still interested?” email to contacts who haven’t engaged in a set period. The ones who re-subscribe in the moments they’re already there (peak traffic, seasonal spikes) are worth keeping. The ones who don’t get suppressed, and your deliverability improves. 

Expected results: A cleaner database, better deliverability, and a segment of re-engaged contacts who’ve actively opted back in. 

2. Pre-churn reactivation with product recommendations 

What it’s for: Catching customers before they fully disengage. 

How it’s used: Use purchase history and browsing data to trigger a personalized recommendation email when engagement drops below a threshold. The offer anchors to what they’ve already bought or browsed, so it lands as relevant rather than generic. 

Expected results: Lapsed contacts re-engaged with offers they’re more likely to act on, driven by their own behavior data. 

You can watch the full demo of both tactics below. 

The bigger win is spotting the customers you already know before they slip, and the signals are usually sitting in your systems already, unread.  

Our Global Engagement Index 2026 found that 75% of consumers are put off by disorganized experiences like being passed between teams or getting disconnected messages across channels. The unified profiles and segmentation below are what stops that from happening. 

3. Send-time optimization 

What it’s for: Making sure the re-engagement email gets opened, not buried.

How it’s used: Instead of sending on a fixed schedule, deliver each contact’s follow-up at their own most-likely-to-respond time. It’s the move from batch-and-blast to precision re-engagement – and that matters, because our Customer Loyalty Index 2025 shows that 23% of consumers say batch-and-blast marketing actively damages their loyalty. Getting the timing right protects against doing further harm.

Expected results: Higher open and response rates on reactivation sends, and more revenue from a smaller, better-timed volume. 

4. A unified profile that flags churn risk 

What it’s for: Identifying customers about to lapse while you can still act. 

How it’s used: Pull loyalty status, spend history, and behavioral signals (repeat cart abandons, product and category views) from the CDP, S/4HANA, and any other system into one profile. The combined picture shows who’s dropping off. In the demo, a loyalty member is flagged after three months without a purchase. 

Expected results: At-risk customers surfaced before the churn shows up in your revenue. 

5. Lifecycle-stage segmentation 

What it’s for: Treating an about-to-churn customer differently from a first-time buyer. 

How it’s used: Segment the unified profile by lifecycle stage – likely to churn, first-time buyer, ready to convert – using attributes already in the data, then send each segment downstream for its own messaging. 

Expected results: Effort concentrated on the segments that need it, with messaging matched to where each customer actually is. 

6. Behavior-matched reactivation offers 

What it’s for: Building a win-back offer that the customer will actually act on. 

How it’s used: Anchor the incentive to what the customer already does. In the demo, a lapsed member gets triple rewards on his own activity and a product selection matched to his interests. That carries through from the email to a tailored landing page, with bonus points confirmed at checkout. 

Expected results: Every element mapped to a real signal, so the reactivation lands as recognition and lapsed customers complete purchases. 

You can watch the whole sequence, from churn signal to personalized win-back, in the demo below. 

Knowing what to send is only half of it. The other half, the part that usually stalls, is producing it: briefing a designer, writing the copy, waiting days for sign-off, all for a moment that might last a few hours.  

Our Global Engagement Index 2026 found that 78% of businesses see AI as essential for retaining customers, yet the same research shows 78% can’t practice real-time AI optimization in their day-to-day campaigns.  

These two tactics close that gap. 

7. Build from a proven campaign with Joule 

What it’s for: Assembling a campaign in seconds instead of starting from a blank page. 

How it’s used: Prompt Joule to surface your recently created emails, copy one that already worked, and adjust it. Personalization tokens pull from the CDP automatically, so the build starts most of the way done. 

Expected results: A campaign assembled in seconds, with less time lost to setup before you’ve written a word. 

8. Governed content generation with the composer 

What it’s for: Producing on-brand, compliant copy and imagery without a full design-and-approval cycle. 

How it’s used: The content composer in SAP Engagement Cloud generates copy variants and images against your brand guidelines and any regulatory rules you’ve set. A marketer – or a service team that isn’t marketing at all – picks a variant and drops it in, and a human still signs off before anything ships. 

Expected results: Content produced in minutes rather than days, with brand and compliance rules applied as it’s generated. 

The same engine and data model don’t have to stay aimed at promotions. Point them at operational signals, and engagement starts doing things marketing was never set up to do.  

Our Global Engagement Index 2026 found that 48% of consumers care less about the brand and more about the overall experience – real-time, context-aware messaging is what “experience” means when the moment is urgent. 

9. Signal-triggered proactive engagement 

What it’s for: Responding to operational or environmental events in real time, before they escalate. 

How it’s used: Trigger campaigns off live signals based on customer weather feeds and grid data. (SAP’s partnership with Google Cloud is already turning these real-time signals into automated customer responses.) AI agents detect the event, select the audience from customer and account data (flagging vulnerable customers, such as those with medical equipment, for priority), generate the content automatically, and SAP Engagement Cloud picks the channel and send window. Humans set the guardrails; AI runs the steps. 

Expected results: Region-specific responses sent in minutes across simultaneous scenarios, measured on delivery rate, open rates, peak-demand reduction, and customer satisfaction. 

10. Adaptive templates 

What it’s for: Sending one campaign that reshapes itself for each recipient, with content generated on the spot. 

How it’s used: Build a template of flexible placeholder blocks that adapt to each recipient’s context and location. Generate the images and copy live into those blocks instead of pulling from a library, then preview exactly what each real contact will see before it sends. 

Expected results: A build that would take hours or days done in minutes, and checked per recipient before anything goes out. 

The utilities demo below shows how adaptive templates work end-to-end – one template adapting to a heatwave customer and a storm customer, with the content for each generated live. 

Reactivation only pays off if there’s a reason to stay. Our Customer Loyalty Index 2025 found that 14% of consumers are now classified as Trend Loyal, and 29% of them lose interest the moment a product stops trending. Loyalty mechanics are what turn a single win-back into a pattern that outlasts the trend cycle. 

11. Tiers and gamified point-earning 

What it’s for: Keeping reactivated and existing customers engaged between purchases. 

How it’s used: Build tiers up to elite or club status so members have a visible rung to climb toward, and award points for the actions you want more of – not only purchases, but liking a post, engaging a partner brand, completing a profile. Track points allocation to see how the program trends. 

Expected results: Reactivated customers who stay active and existing members who stay engaged, with no disruption to the rest of their experience. 

All of the tactics above run on the data you already have – it just needs connecting and acting on. One profile feeding reactivation, segmentation, production, loyalty, and real-time response, aimed at different moments. People set the direction; the AI does the legwork. 

Our Global Engagement Index 2026 found that only 20% of brands currently score high on engagement maturity – but that’s up from 16% last year. The gap is closing, and the brands moving first are pulling ahead. 

Pick the tactic that matches where your data sits today, and start with the customers you’re most at risk of losing.