How to Retain Customers When Online Grocery Shopping Behavior Shifts

This article was originally published on May 11, 2019. It was updated on March 25, 2026.  

The truth about legacy eCommerce systems is that they’re ill-equipped to handle the realities of modern grocery shopping. 

These systems emerged during an era when customers made channel commitments and stuck with them. A shopper who preferred in-store trips kept shopping in-store. A customer who adopted online ordering stayed with online ordering. The exceptions were rare enough that grocers could treat them as noise in the data. 

That world no longer exists. 

The same customer who fills a cart at the regional grocer Saturday morning will open DoorDash Monday to order lunch ingredients, place a Walmart delivery order Tuesday for household basics, shop Trader Joe’s Wednesday for specialty items, then return to the regional grocer’s app Friday to make a pickup order for weekend meals and the next week’s meal prep. 

At no point do they think of themselves as being “multi-channel” or a “cross-shopper.” They’re simply trying to efficiently manage grocery budget and household needs across a week, while also chasing the specific products they can’t get anywhere else, like Trader Joe’s viral dumplings or other can’t-live-without brands that draw them to different stores. 

Legacy systems weren’t built to recognize this behavior.

They track transactions by channel—pickup orders in one database, in-store purchases in another, app activity somewhere else—without connecting them to the same customer making coordinated decisions. This fragmentation makes it impossible to deliver the personalized engagement that keeps customers shopping with you instead of spreading their spending across competitors. 

This article not only shows how online grocery shopping behavior has fundamentally changed, it explains why traditional measurement creates blind spots, and identifies the infrastructure regional grocers need to retain their customers and protect their revenue. 

Legacy Systems Hide Competitive Losses 

Imagine a regional chain relying on eCommerce infrastructure built eight years ago. 

Their systems track pickup orders through one platform, in-store transactions through their POS, loyalty program activity through a third-party provider, and app usage through analytics software. 

Each system generates its own reports. None of them connect. 

The executive team reviews these reports monthly. Pickup orders are up 12% year-over-year. In-store transactions remain stable. Loyalty program enrollment continues growing. App downloads exceed targets. Every individual metric suggests a healthy business. 

But total revenue is flat, and a market share analysis shows the chain losing 2-3% annually to competitors. 

Channel Optimization Doesn’t Address Journey Fragmentation 

The grocer responds by launching promotional campaigns targeting pickup customers with pickup-specific discounts. They send in-store shoppers weekly circular emails. They even offer delivery fee reductions to customers who hadn’t ordered delivery recently. 

Each initiative might improve a targeted channel metric, but overall sales continue to decline. 

It leads to customers engaging with individual channels while simultaneously spreading more total grocery spending across competitors. 

The disconnect emerges from treating fluid shopping behavior as if it were channel preference. 

A customer isn’t a “pickup customer.” They’re a household manager making moment-specific decisions about where to source different categories based on price, availability, and convenience factors that shift day to day. 

Fluid Shopping Behavior Requires a Unified System 

Their shopping decisions happen continuously across digital touchpoints, with fulfillment methods determined by situational factors rather than customer preference. 

Customers Make Situational Decisions, Not Channel Choices 

Shoppers select delivery when they need items quickly and can’t make a store trip. They choose pickup when they want to control timing and avoid delivery fees. They shop in-store when they need products immediately or want to inspect perishables personally. 

The “pickup customer” receiving pickup-specific promotions Tuesday is the same person who needed delivery Monday and will shop in-store Thursday. 

The Alternative Is Personalized Recognition 

Better infrastructure recognizes customers across every touchpoint regardless of fulfillment method. 

When a customer builds a shopping list digitally, compares prices across retailers, places a pickup order, then shops in-store later that week, these can’t be treated as separate channel activities.  

They’re connected stages in a continuous journey where recognition should remain consistent. But recognition requires using customer data—POS transactions, loyalty programs, app usage, digital engagement, browsing history, purchase patterns—to be used to inform relevant offers, discounts, and recommendations.  

What we’re talking about here is a platform that gives customers the choice to browse recipes, build shopping lists, order pickup, or plan in-store trips—whatever fits their needs in any given moment.  

Then, it tracks that activity across touchpoints to make each future interaction more relevant, delivering engagement that reflects how they actually shop rather than how the grocer assumes they shop. 

Promotional offers must stay unified across fulfillment methods. When a customer clips a digital coupon, it should apply whether they order delivery, use pickup, or shop in-store. When they add items to their app’s shopping list, those intentions should inform recommendations across every shopping context. 

Recognition Is Where Regional Grocers Can Compete 

Regional grocers can’t match Walmart’s pricing scale or Amazon’s logistics infrastructure. But they can deliver more relevant, personalized experiences based on deeper understanding of local customer needs. 

This can only happen if their systems recognize customers across the fluid shopping patterns that now define grocery retail. 

How DXPro Delivers Customer-retaining Recognition 

DXPro provides the infrastructure regional grocers need to put modern customers first through unified data, personalized engagement, and seamless commerce. 

Here’s how it works: 

Consolidated Customer Intelligence 

DXPro’s embedded customer data platform collects information from POS systems, loyalty programs, app usage, digital engagement, and purchase history and consolidates it into unified profiles revealing how individual customers actually shop. 

This consolidation shows the complete picture that legacy systems fragment. Not only does it identify when customers begin slipping away, it uses standardized engagement programs proven to bring them back. 

Personalized Engagement Across All Contexts 

DXPro’s engagement tools deliver experiences acknowledging customer behavior across every touchpoint.  

Promotional offers and product recommendations reflect browsing history whether customers order delivery or shop in-store. Loyalty rewards recognize valuable behaviors regardless of channel. 

No-code interfaces let marketing teams create segmentation and campaigns without technical support. When the platform identifies customers shifting spending habits in the wrong direction, automated programs trigger personalized offers addressing specific at-risk categories. 

Commerce That Connects 

DXPro’s commerce engine converts personalized engagement into transactions, then feeds that transaction data back into customer profiles to strengthen future engagement.  

Each purchase refines the system’s understanding of preferences and shopping patterns, making the next interaction even more relevant. This creates a continuous cycle where better data drives better engagement, which drives more sales, which produces better data. 

Transform Your Engagement with Modern Customers 

All of DXPro’s capabilities translate to a transformational system that allows grocers to keep modern customers engaged and spending with their stores. 

Fragmented Data Becomes Connected Intelligence 

The platform connects Monday’s pickup order to Tuesday’s app browsing to Wednesday’s in-store trip, revealing actual customer behavior instead of isolated transactions. Marketing shifts to journey-based engagement that acknowledges how customers really shop. 

Generic Offers Become Contextual Relevance 

The customer who typically buys organic products sees organic promotions regardless of how they shop that day. The shopper whose purchase frequency is declining receives targeted win-back offers addressing the specific categories competitors captured. 

Lost Spending Becomes Retained Loyalty 

Competitive threats become visible before they’re irreversible. 

The platform identifies when customers begin to shift away to less frequent orders and deploys targeted retention strategies.  

Rather than matching Walmart prices universally, grocers can focus on defensive investments where competitive advantage is achievable. 

Getting Started with DXPro 

Regional grocers don’t need to blindly compete against shifting shopping behavior. 

Here’s how to get the visibility, engagement, and retention capabilities DXPro provides: 

Step 1: Contact Mercatus 

Set up a time to talk to us about your current infrastructure, competitive pressures, and the specific customer retention challenges you’re facing. 

Step 2: See What DXPro Can Do 

We’ll show you exactly how consolidated customer data, personalized engagement tools, and seamless commerce capabilities address modern shopping behavior and answer the specific challenges your stores are facing. 

Step 3: Implement Without Disruption 

DXPro integrates with your current POS, loyalty programs, and eCommerce platforms. Standard deployments take 120 days, with customizations extending the implementation timeline. 

Once deployed, customer retention metrics improve quickly as personalized engagement replaces generic promotions. 

All it takes to get started is one conversation. Contact Mercatus today.