Retail KPIs That Matter
The essential KPI guide for retail executives: 3 metrics driving growth
The retail landscape is shifting faster than ever, making the quest to understand your customer and anticipate market changes paramount for any retail executive. With the retail analytics market projected to quadruple to $43.31 billion by 2034, the stakes are clear: master your Key Performance Indicators (KPIs) or fall behind. Understanding which metrics drive real business growth is becoming increasingly critical. Yet as retailers strive to leverage these insights, they face a significant obstacle: the disconnect between their online and in-store data. This issue is exacerbated by new cookie regulations that limit web tracking. This struggle prevents organizations from achieving a complete view of crucial customer-brand interactions.
In this guide, we’ll break down practical methods to gather data, make sense of it, and transform it into actions that drive results.
Capturing data efficiently
Improving KPIs starts with collecting meaningful customer data from both in-store and online interactions between shoppers and the brand. This is why retailers need tools that adapt to new privacy regulations, such as GDPR, and make it easy for store teams to capture and consolidate data between the different channels.
Capturing data in-store
Many retailers start building customer profiles right in-store. For instance, a sales associate at the cash register may ask whether the shopper would like to join the VIP list and collect their email. However, these emails often end up in a marketing CRM that store teams cannot access, meaning additional customer interactions may go unrecorded. Salesfloor solves this disconnect by syncing with the CRM and turning these lists into complete, accessible customer profiles. This ensures that retailers can easily be informed of customer preferences at the store level and consolidate future interactions into a single report.
Overcoming cookie regulations: Capturing data online
Growing public concern around online data privacy is pushing businesses to reassess how they collect and manage customer information. As regulations such as GDPR limit traditional methods, like third-party cookies, consumers are taking greater control over their personal data. Brands that fail to align with these expectations increasingly risk losing customer trust and loyalty. These new regulations are affecting every industry by making it harder for companies to measure the effectiveness of their marketing operations and to gather information about clients’ needs and wants. In this new era, retailers must find ethical ways to understand their customers while complying with regulations.
A great way to achieve this is to create opportunities for customers to share their preferences and personal information voluntarily. Ultimately, retailers found that encouraging customers to share their preferences led to higher sales and enabled more personalized customer service and segmentation.
Salesfloor created a simple yet powerful solution to make this possible: the Connect™ feature. Displayed on our clients’ homepage, this solution invites shoppers to engage with the brand via chat, SMS, or by booking an appointment with a local expert. Shoppers only need to enter their email; no long forms or complex onboarding required. With built-in routing, Connect™ seamlessly links customers to nearby store associates and automatically creates a customer profile that captures valuable data, including AOV, engagement channels, preferred products, and more.
Top KPIs retailers need to track
Most platforms measure KPIs. Salesfloor activates them. By unifying store, associate, and ecommerce data, retailers gain a single source of truth that links customer actions to business outcomes.
We have discovered ways to track customer behaviour more effectively. Let’s dive into the three crucial KPIs, how they’re calculated, why they matter strategically, and how to turn the insights into actionable steps.
1. Average Order Value (AOV)
In today’s omnichannel retail landscape, calculating the average order value is one of the best ways to compare your channels.
Formula:
Average Order Value =
Total Revenue ÷ Total Number of Orders
Benchmarking application
Compare the AOV of your online stores to that of virtual sales to gain perspective on their performance. You can apply the same analysis to in-store AOV and sales associates. This helps you coach your sales team and identify which communication channels are most effective and which they actually use in their outreach.
Strategic importance
AOV is an early signal of how well associates bundle products and how effectively cross-selling tactics perform by channel.
How to boost average order value by using two simple clienteling strategies
The 3-3-3 strategy
The 3-3-3 strategy involves sending nurture communications 3 days after an item is purchased, 3 weeks later, and every 3 months thereafter. Some retailers prefer a 2-2-2 strategy. By implementing this strategy, the connection between the shopper and the brand is strengthened. Often used in a marketing context, it delivers significantly better results when sent by a sales associate who knows the customer, with a +39% increase in AOV compared to impersonal marketing messages.
Boosting AOV by using online Storefronts or Lookbooks
Implementing Storefronts (Lookbooks) as part of a social selling strategy improves both conversion rates and AOV. The concept is simple: Storefronts are web landing pages that local sales associates can build in seconds. These pages enable them to showcase their top picks, looks, and new products on their personal page. They can share those shoppable recommendation pages on their social media or in team mode as part of a social media strategy.
Chico’s has successfully used Facebook Live to launch new apparel collections and boost engagement. Each livestream averaged 120,000 viewers, generating thousands of comments and real-time customer interactions. The broadcasts were hosted by fashion specialists and featured in-store shoppers trying on new pieces, creating an authentic and relatable shopping experience. By showcasing outfits on everyday people rather than professional models, Chico’s made it easier for their audience to imagine themselves wearing the clothing, deepening engagement and driving interest. Storefronts are highly successful, especially in this context, as they allow shoppers to move directly from viewing to buying without having to search for the items. By enabling sales associates to share complete looks, it also encourages customers to purchase multiple items to recreate the style rather than picking single items as they normally would on the brand’s website.
2. Sales Conversion Rate
Despite the increasing popularity of online shopping, brick-and-mortar stores typically convert 25 to 35% of visitors into sales, compared to most retail websites, which average 1.65 to 1.81%, according to 2024 e-commerce data. However, this varies significantly across different industries.
Formula:
Sales Conversion Rate =
Total Number of Orders ÷ Total Visits (in-store or online)
Strategic importance
According to industry experts, measuring your sales conversion rate is incredibly important now that retailers have multiple sales channels competing with one another. Beyond comparing website and on-site performance, monitoring your sales associates’ conversion rates helps you understand how brand representatives drive sales through customer interactions.
Optimization opportunity
Research shows that online cart abandonment rates have risen to over 70%, primarily due to unexpected extra costs at checkout (shipping, taxes, and fees). Addressing these friction points can dramatically improve conversion rates.
Prevent cart abandonment to increase sales
One of the best ways to avoid cart abandonment is to implement a “buy online, pick up in-store” (BOPIS) option that is easily accessible on your website. Salesfloor has implemented routing in the Connect™ tool, leveraging geo-aware routing to ensure every online shopper is instantly connected to their closest physical store. This intelligent localization ensures that unexpected delivery fees or shipping delays are a thing of the past. It allows your shoppers to receive personalized and localized customer service, even when they shop online, by enabling them to communicate through chat, SMS, emails, and more, with the representative closest to them. Drive conversions and build lasting customer loyalty with hyper-local connections.
3. Customer Lifetime Value (CLV)
According to McKinsey’s 2025 retail insights, retaining loyal customers is more cost-effective and often delivers higher profits than acquiring new ones. The customer retention rate provides valuable insight into customer satisfaction, loyalty, and overall store performance.
Formula:
CLV =
Average Purchase Value × Purchase Frequency × Average Customer Lifespan
Strategic importance
By understanding which customer segments drive the highest lifetime value, you can stock products that appeal to your most profitable shoppers, optimizing both inventory investment and store layouts. Your customer lifetime value can also be impacted by other online strategies, such as customer outreach, site layout, customer service (including return policies, expert recommendations, clienteling operations, and loyalty programs).
CLV improvement strategies:
- Offer loyalty programs with meaningful rewards
- Regularly engage customers through personalized email campaigns
- Provide expert guidance on products to create a good relationship with your shoppers
- Provide exceptional post-purchase experiences
- Leverage AI-driven personalization to recommend relevant products
With proven performance, Salesfloor helps retailers achieve their sales targets by maximizing customer lifetime value. Here’s how:
Maximize customer lifetime value (CLV) by empowering local teams with digital tools that enable them to deliver the same level of expert guidance online as they could in-store.
Deepen loyalty by strengthening localized customer outreach efforts.
Research confirms that emails from local, trusted sales associates achieve double (2X) the open rates and conversions compared to standard marketing emails. Salesfloor empowers store teams to send personalized communications (including emails, SMS, and chat) to individual customers or broader audiences, based on interests, purchase history, and other criteria.
Implement AI messaging to enhance, not replace, the human touch.
Salesfloor launched an AI-powered messaging assistant that recommends outreach tasks to sales teams and individual associates, helping them engage with the right customers at the optimal moment with tailored messaging and automated grammar correction. It not only helps them segment their messaging to engage in the most meaningful way, but also provides the tools to do so without worrying about their writing abilities. This tool can also be trained and prompted by the company to ensure that specific terms and tone are used consistently across the company.
According to McKinsey research, retailers that implement AI at scale achieve 15% reductions in operational costs and at least a 10% revenue growth.
From Insight to Impact: Your Next Move
Retailers who invest in unified data systems, empower their store teams with digital tools, and leverage AI to enhance human connections will thrive in this evolving landscape. Those who continue operating in silos, treating online and offline as separate worlds, risk falling behind as customer expectations and market dynamics shift ever faster.
The question isn’t whether to prioritize these KPIs: it’s how quickly you can turn insights into action. Your customers are ready to engage. Your data holds the answers. Now is the time to connect the dots and drive sustainable growth across every channel.
Want to learn how to use Salesfloor as a reporting and sales boosting tool? Don’t hesitate to book a free consultation with one of our retail experts.
