Retail customer relationship management (CRM) software gives retailers a shared system for customer relationships. It connects customer profiles with order history, loyalty activity, and service notes so teams work from the same record.
Customer data is now the foundation of retail operations, making CRM software even more crucial for store owners. QYResearch’s 2025 report valued the global retail CRM software market at $1.03 billion in 2025 and projected it to reach $1.48 billion by 2031, with a 6.2% compound annual growth rate (CAGR).
This guide explains how retail CRM software works and how to choose a system that fits your store’s workflows.
What is retail CRM software?
Retail CRM software helps retailers manage customer relationships across the customer journey. It connects a shopper’s profile with the actions tied to that shopper, from first order to repeat purchase.
A general CRM tool tracks leads and sales conversions, while a retail CRM reflects the shopper’s actions. It shows what someone bought, what they tend to browse, whether they can receive email or SMS, and where they sit in a POS (point of sale) loyalty program.
Retail CRM software keeps the service context close to the customer record:
- Store staff can see support history
- Marketing teams can build segments
- Operations teams can review returns and exchanges
POS software records the sale at checkout, then retail CRM software makes that data useful after the sale. In Shopify, customer details are added to the customer list after an order. Store owners can manage customers in the admin or app and group them into segments.
Why retailers need CRM software in 2026
The customer journey doesn’t follow a singular path. A shopper might visit a store, browse a TikTok shop, or sign up for an email list from different channels.
Retail CRM software compiles all that data into a single customer view so that store owners can deliver personalized experiences and optimize marketing spend.
Customers shop across more channels
According to Capital One’s 2026 shopping research, a majority share of consumers (45%) still shop primarily in stores. But even so, 86% of shoppers start their product research online, even if they ultimately buy in-store. Retail CRM software connects all of those records to one customer profile.
Shopify POS customer profiles show how this works in-store. Staff can see contact details, purchase history, and custom metafields (like loyalty program status) as they help a customer. This allows them to provide more relevant, personalized service and avoid asking customers to repeat information.
Before moving to Shopify POS, Rudsak kept its online and in-store customer data in separate systems. “Our previous POS system was causing friction because it didn’t provide us with integrated customer data. And if there’s friction, you’ll lose your customer,” says CFO Rani Hawli.
After the switch, store teams could use Shopify POS customer profiles to see online preferences and past purchases. Rudsak also added in-store pickup for online orders and ship-to-home options for in-store purchases, cutting in-store transaction time by 50%.
Personalization depends on clean customer data
Personalization works when the data is current and useful, but it also has to reflect what the customer agreed to receive. Twilio’s 2025 State of Customer Engagement Report found that 71% of consumers abandon purchases when experiences feel irrelevant.
Shopify customer segments group your customers based on shared traits or behaviors. They update automatically as customers’ actions change, so the right people stay in each group without manual work.
Store teams need customer context
Retail CRM software gives store teams customer context before the conversation starts. For example:
- A stylist can check past sizes
- A beauty associate can see loyalty status
- A store team can invite local VIP customers to an event
- A brand can follow up with customers who’ve made purchases in-store but never online
With Shopify POS, Diane Von Furstenberg’s stylists can see online and store purchase history, review returns, sizing, color preferences, and staff notes, all in one customer profile.
The brand uses Endear from the Shopify App Store for clienteling after the store visit. “All the information stored in a customer’s profile on Shopify is available in Endear pretty much instantly. That makes it easy for our team to continue nurturing those relationships once the customer leaves our store,” says Joanna Puccio, assistant store manager.
Key retail CRM software features to look for
- Unified customer profiles
- Customer segmentation
- POS and ecommerce integration
- Marketing automation and life cycle campaigns
- Loyalty and clienteling
Unified customer profiles
A unified customer profile gives each shopper one record across the business.
Each profile includes contact information and purchase history, as well as preferences and staff notes that add context not found in a strictly transactional record.
Customer profiles also reflect marketing consent, which ensures that teams know which communications a customer agreed to receive and can stay compliant.
Shopify POS customer profiles can also store purchase history, preferences, marketing preferences, and custom metafields such as birthdays or loyalty status.
Customer segmentation
Customer segmentation groups shoppers by behavior or shared traits. One segment might focus on first-time buyers, while another represents high-value customers or shoppers whose last purchase was months ago.
Segments can also connect channel behavior. One group might include customers who bought in-store but have not bought online. Another might use the predicted spend tier to identify shoppers with higher expected value.
Shopify customer segmentation supports dynamic, rule-based customer groups built with ShopifyQL. For example, a retailer can create a customer segment near a store location and invite them to an in-store event.
POS and ecommerce integration
A retail CRM needs customer data from both ecommerce and POS. Without that connection, each channel shows only part of the customer relationship.
Connected data allows store staff to use online order history during a fitting or apply online promotions in store, and customers who buy in-store to opt into email flows.
Mizzen+Main uses Shopify POS to maintain a single customer profile across online and offline channels. Staff are able to use full purchase history for sizing and gift recommendations, and the brand also uses Endear to send messages based on purchase history and behavior.
“Shopify allows you to create a very large omnichannel business at a relatively low cost, and its ease of use really minimizes the burden on your team,” says Natalie Shaddick, VP of ecommerce.
Marketing automation and life cycle campaigns
Marketing automation uses customer data to send messages based on behavior or timing. Retail CRM software can enable various campaigns, such as:
- Welcome flows that follow a first purchase or signup
- Post-purchase messages that help customers use what they bought
- Winback campaigns that reach customers after a period of inactivity
Shopify handles the first layer of automation inside the admin. Store owners can use customer segments with Shopify Messaging to send campaigns to subscribed customers.
Shopify also provides native templates for abandoned cart recovery, abandoned product browse, and welcome series. More complex store workflows can run through Shopify Flow.
Loyalty and clienteling
A retail CRM should show how each customer relates to the brand over time. For loyalty programs, a customer profile should also include:
- Order history
- Enrollment status
- Points balance
- Reward eligibility
- Tier
Those fields help teams see which customers are active in the program and which offers apply.
Clienteling, the strategy of using customer data to help build long-term customer relationships, uses a different set of details. Store teams need access to information like purchase history, preferences, and staff notes. The CRM should also have a way to follow up with customers, set appointments, and assign clients to specific associates.
Best retail CRM software options for different retailers
Retail CRM options vary by business size, sales channels, and team needs. Some retailers can start with customer tools already built into Shopify. Others may need an additional CRM app or a lighter system for tasks and follow-up.
The table below shows a quick overview of the options available.
| Option | Best for | Strengths | Limits |
|---|---|---|---|
| Shopify native customer profiles | Newer Shopify retailers | Profiles with orders and segments | Limited sales and service features |
| Shopify CRM app integrations | Retailers needing deeper workflows | Adds CRM and automation | Pricing and compatibility vary |
| Dedicated retail CRM platforms | Enterprise retail teams | Loyalty and engagement tools | Higher setup and cost |
| SMB-friendly (small and medium-sized business) CRM options | Retailers looking for less manual entry | Tasks and simple follow-up | Less retail-specific depth |
Shopify native customer profiles and segmentation
Shopify’s native customer tools provide a few different features:
- Customer profiles store shopper details and order history
- Customer accounts let shoppers view orders, saved details, and use their account for future purchases
- Customer segmentation lets stores group customers in the Shopify admin
Shopify POS adds customer capture in-store. Staff can create or update customer profiles during checkout, and the platform can prompt staff to collect customer details. Customer metafields can store extra information, such as birthdays or loyalty status.
Shopify CRM app integrations
Shopify CRM apps are for stores that store customer data outside the Shopify admin. Each app has a different job:
- HubSpot. HubSpot is mainly for marketing and sales follow-up. Its Shopify app syncs customers, products, and orders into HubSpot, so teams can build lists, send campaigns, and report on customer activity.
- Zoho. Zoho is for retailers already using Zoho tools. Its Shopify app can send customer and order data into Zoho CRM, Bigin, Inventory, Books, and Invoices.
- Endear. Endear is for clienteling. Stores use it alongside Shopify POS data to send personal follow-ups based on purchase history and store visits.
App details change. Check current pricing, reviews, and compatibility before choosing one.
Dedicated retail CRM and loyalty platforms
Dedicated retail CRM and loyalty platforms are for retailers with larger customer programs. They connect loyalty data with customer segments, and can also link campaign history to store, ecommerce, and service activity.
Common options in this category include:
- Voyado. Voyado is built around retail CRM and loyalty. Stores use it to manage customer groups, reward programs, and campaign tools in one place.
- Creatio. Creatio is a CRM with configurable workflows. Retailers can adapt it for sales, service, or marketing processes that don’t fit a fixed retail platform.
- Microsoft Dynamics 365. Dynamics 365 connects CRM data with Microsoft business tools. It’s a fit for organizations using Microsoft across sales, service, finance, or operations.
- SAP Customer Experience. SAP CX is built for enterprise customer data and commerce workflows. It’s most relevant for retailers already using SAP for ecommerce, operations, or customer service.
- Kustomer. Kustomer is centered on customer service history. It gives service teams one timeline for orders, conversations, and customer issues.
Compare each platform based on the systems it connects to, the data it can share, the setup work required, and the reports each team needs.
How to choose retail CRM software
Choosing retail CRM software starts with your customer data. Before comparing platforms, identify where that data lives today and which teams need to use it.
Map your customer data sources
Start by listing every place where customer information is created, stored, or updated. Common sources include:
- Shopify admin
- Shopify POS
- Email and SMS platforms
- Loyalty apps
- Support inboxes
- Spreadsheets
- Customer service tickets
- In-store notes
This step shows which system already holds the most complete customer record. If you use Shopify for ecommerce and Shopify POS, start the data map there.
Shopify can show which customer details are already tied to online and in-store purchases. That gives the retailer a baseline before adding a CRM.
For example, Shopify may already cover customer profiles and purchase behavior. In that case, a CRM might only be needed for workflows like sales pipelines, advanced loyalty rules, or more complex campaign automation.
Decide what needs to be native vs. integrated
Retail CRM functions can come from native platform features, integrated apps, or custom builds.
Native features are usually easier to maintain because they’re already part of the platform. Integrated apps add depth when the business needs a more specialized workflow, while custom builds offer more control, but require more maintenance.
Use this table to decide where to start:
| Need | Start with | Upgrade when |
|---|---|---|
| Customer profiles | Shopify customers | You need sales pipelines or service records |
| Segmentation | Shopify customer segmentation | You need multichannel journey orchestration |
| In-store customer capture | Shopify POS | You need advanced clienteling workflows |
| Loyalty | Loyalty app on Shopify | You need enterprise loyalty rules |
| Sales tracking | CRM app | You need sales rep pipelines and territory rules |
Start with the option that covers the workflow with the least upkeep. You can add an app when the native feature set is no longer enough, and reserve custom work for when the added flexibility is worth the long-term maintenance.
Compare cost, complexity, and training
The cost of retail CRM isn’t just the monthly software price. A full comparison should include the setup work, the number of users, and the time required to keep the system useful.
Review each cost area before choosing a platform:
- Licenses. How many users need access, and which roles require paid seats?
- Implementation. How much setup is required before the CRM can support daily work?
- Data migration. What customer records need to move, and how clean is that data?
- Integrations. Which ecommerce, POS, marketing, loyalty, or support tools need to connect?
- Staff training. What do store teams, marketers, and support teams need to learn?
- Maintenance. Who will update fields, workflows, segments, and automations over time?
- Support. What level of vendor or partner help is included?
- Reporting setup. What dashboards or reports need to be built before teams can use the data?
Before choosing a platform, define who will use the CRM and what each team needs to do inside it.
Store staff often need fast access to customer profiles and notes at checkout. For marketing, the priority is usually segments and campaign triggers. Support depends on order history, past issues, and enough context to avoid asking customers for the same information twice.
Retail CRM FAQ
Does Shopify have CRM features?
Yes. Shopify includes customer profiles, segmentation, marketing consent fields, and POS customer capture. Store owners can use these native tools as a CRM starting point, then add apps for deeper workflows, such as clienteling or loyalty.
What is the difference between retail CRM and POS?
A POS records the sale at checkout. A retail CRM uses that sales data by connecting it to customer profiles, segments, and service context.
What CRM integrates with Shopify?
Shopify integrates with CRM and customer engagement apps such as HubSpot, Zoho, and Endear.
What features should small retailers look for in CRM software?
Small retailers should start with customer profiles, order history, segmentation, marketing consent, and POS integration. The best option is often the system that covers daily workflows without adding extra setup or training.
How can retailers use CRM data without hurting customer trust?
Retailers can use CRM data well by keeping customer consent visible and using data for relevant service or follow-up. A CRM should help teams avoid irrelevant messages, repeated questions, and outreach that does not match the customer’s behavior or preferences.
