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2 examples of Retail Manager metrics and KPIs

What are Retail Manager metrics?

Finding the right Retail Manager metrics can be daunting, especially when you're busy working on your day-to-day tasks. This is why we've curated a list of examples for your inspiration.

Copy these examples into your preferred tool, or adopt Tability to ensure you remain accountable.

Find Retail Manager metrics with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.

Examples of Retail Manager metrics and KPIs

Metrics for Visual Merchandising for BONIA

  • 1. Foot Traffic Volume

    Measures the number of visitors in a store within a given time frame

    What good looks like for this metric: 500-1000 visitors per day

    Ideas to improve this metric
    • Enhance window display to attract more passersby
    • Use in-store signage to guide and influence customer paths
    • Increase advertising efforts during peak shopping seasons
    • Organise in-store events to drive more traffic
    • Ensure store exterior is clean and welcoming
  • 2. Conversion Rate

    Percentage of store visitors who make a purchase

    What good looks like for this metric: 20-40%

    Ideas to improve this metric
    • Train staff to engage and assist customers effectively
    • Optimise product placements based on shopping patterns
    • Ensure easy navigation and accessibility within the store
    • Offer promotions or limited-time discounts
    • Improve checkout experience to reduce wait times
  • 3. Average Transaction Value

    Average amount spent by customers per purchase

    What good looks like for this metric: USD 100-200

    Ideas to improve this metric
    • Bundle products to encourage higher spending
    • Upsell complementary or premium products
    • Create appealing offers for higher-margin items
    • Display higher-priced products prominently
    • Analyse customer preferences to curate targeted promotions
  • 4. Sell-through Rate

    Percentage of inventory sold in a given period

    What good looks like for this metric: 70-90%

    Ideas to improve this metric
    • Rotate displays regularly to keep them fresh
    • Utilise data analytics for inventory optimization
    • Highlight slow-moving items through promotions
    • Adjust pricing strategy based on seasonality and demand
    • Ensure sufficient inventory of popular items
  • 5. Customer Dwell Time

    Average amount of time customers spend in the store

    What good looks like for this metric: 15-25 minutes

    Ideas to improve this metric
    • Create engaging in-store experiences or demonstrations
    • Provide comfortable seating areas to encourage longer visits
    • Strategically place engaging digital displays
    • Refresh visual displays to maintain customer interest
    • Curate music and scents to enhance the shopping atmosphere

Metrics for Growing retail distribution

  • 1. Number of New Distribution Points

    The total number of new retail distribution points established in a specific period due to outbound selling by customer service representatives

    What good looks like for this metric: 10 new distribution points per quarter

    Ideas to improve this metric
    • Develop a targeted list of potential stores
    • Train customer service reps on sales techniques
    • Offer incentives for successful partnerships
    • Leverage existing customer relationships
    • Utilise data to identify high-potential areas
  • 2. Conversion Rate

    The percentage of contacted stores that become active retailers

    What good looks like for this metric: 20% conversion rate for outbound efforts

    Ideas to improve this metric
    • Refine sales pitch and presentation
    • Identify and address common rejection reasons
    • Use testimonials or case studies
    • Follow up consistently with potential clients
    • Provide flexible terms or agreements
  • 3. Customer Service Rep Productivity

    Average number of new distribution points secured per customer service representative per month

    What good looks like for this metric: 2 new points per rep per month

    Ideas to improve this metric
    • Streamline contact and follow-up processes
    • Set clear targets and expectations
    • Use technology to enhance outreach efforts
    • Provide regular training and feedback
    • Encourage collaboration among team members
  • 4. Sales Cycle Length

    The average time it takes from the initial contact to the establishment of a new distribution point

    What good looks like for this metric: 3-4 weeks from contact to establishment

    Ideas to improve this metric
    • Identify and remove bottlenecks in the process
    • Automate parts of the follow-up process
    • Improve product or brand education materials
    • Monitor and adjust outreach timing strategies
    • Tailor communication to the potential client's needs
  • 5. Revenue from New Distribution Points

    The total revenue generated from the newly established distribution points

    What good looks like for this metric: Increase initial revenue by 15% within 3 months

    Ideas to improve this metric
    • Offer introductory deals to incentivise sales
    • Monitor stock levels at new locations
    • Provide ongoing support and promotions
    • Gather feedback and adjust offerings
    • Encourage repeat orders with loyalty programmes

Tracking your Retail Manager metrics

Having a plan is one thing, sticking to it is another.

Setting good strategies is only the first challenge. The hard part is to avoid distractions and make sure that you commit to the plan. A simple weekly ritual will greatly increase the chances of success.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

Tability Insights DashboardTability's check-ins will save you hours and increase transparency

More metrics recently published

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Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

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