Proactive customer service in retail – what happens when staff offer help first

proactive customer service in retail

Imagine someone shopping for a sweater as a gift. They’re not sure about the size, and a little advice would help. In one store, a team member notices and offers a hand. In another, the shopper is left to figure it out alone, perhaps asking at the register or putting the sweater back.

That’s what proactive customer service looks like in practice. It’s about recognizing when someone might need help and starting the conversation before they have to ask.

And gift buying is a good example of why this matters. Across retailers we work with, 26.0% of shoppers said they were buying for someone else, based on 15,376 answers collected between February and June 2026. See the gift-buyer findings.

There’s a commercial reason to pay attention, too. Across a larger group of retailers we work with, shoppers who said a team member greeted them, offered help or made a recommendation spent a average of 12.05% more per transaction than shoppers in the same stores who didn’t receive that service.

The opportunity is to understand how often these interactions happen, where they’re happening consistently and where teams could be doing more.

What is proactive customer service?

Proactive customer service means anticipating a customer’s needs and offering help before they ask. A support team might warn someone about a delayed delivery. On the sales floor, an associate notices a shopper weighing up two products and asks if they’d like some advice.

It might mean greeting someone, offering another size or helping with a gift. The shopper stays free to decline. Proactive service makes help easy to find for shoppers who want it. It’s the part of the retail customer experience your store teams control.

Proactive vs reactive customer service

With reactive customer service, your team waits for the shopper to ask. With proactive service, the team starts the conversation. Waiting can miss the moment when help would be useful.

Reactive serviceProactive service
Answers a question when someone approachesGreets the shopper and offers help
Finds another size when askedChecks whether another size would help
Advises a gift buyer at the registerHelps while the shopper is choosing
Explains products after a questionOffers guidance when someone is comparing options
Discusses an extra item if promptedSuggests something relevant when appropriate

As Gareth Johns, Chief Data Officer at TruRating, puts it:

“It’s not a reactive service model. It has to be much more of a proactive sales model.”

Gareth Johns, Chief Data Officer, TruRating

Shoppers can keep browsing or accept help without having to search for an associate.

Why going first pays in a store

Anticipating customer needs helps most when someone hasn’t decided what to buy. At an off-price department store we work with, 39.1% of buyers said they came in just browsing, based on 35,176 answers collected from January to September 2026. Those shoppers bought something, but they came in without a product in mind. See the browsing findings.

The wider research gives that store-floor moment context. For discovery visits, product guidance influenced store choice for 76% of consumers in research discussed on McKinsey’s retail podcast.

Gift buying makes the opportunity easier to picture. A shopper may not know the recipient’s size, preferences or what they already own. In Deloitte’s 2026 US holiday research, 26% of respondents said they rely on salespeople to find an appealing luxury gift, including 34% of Gen Z respondents.

Your team needs to spot the moment a question would help, even before they know what the shopper wants. For a gift buyer, “Who are you shopping for?” may be enough to get the conversation moving.

What shoppers spend when your team goes first

Across 14 retailers we work with, shoppers who reported that an associate greeted them, offered help, made a recommendation or suggested an item spent a average of 12.05% more per transaction than shoppers in the same stores who said that behavior did not happen. This covers 16,618,094 customer answers from November 2025 to October 2026.

The table compares shoppers in the same stores. Each figure shows the middle retailer in its group (the median).

When a team member…Shoppers spentRetailers
Greeted them10.70% more13
Offered help20.85% more6
Made helpful recommendations11.69% more5
Suggested an extra item10.86% more12

Every retailer in every group saw higher spend with the behavior. Offering help shows the biggest difference but comes from six retailers, the smallest group.

About the data

  • Who: 14 retailers across apparel, sportswear, footwear, travel retail, discount variety, attraction retail and electronics in the US, Canada, Australia and New Zealand. The period is November 1, 2025 to October 31, 2026.
  • What shoppers answered: Yes or No questions at payment. There were 11,884,194 answers about greeting, 884,754 about offering help, 639,488 about recommendations and 3,209,658 about extra-item suggestions, totaling 16,618,094.
  • How spend was compared: Average spend per transaction (ATV) compares yes and no answers within the same store. For the 12.05% headline, each retailer’s figure averages the behaviors it asks about. The table reports each behavior separately. Figures shown are medians across retailers.

A shopper planning to spend more may also be more likely to receive help, so treat these as associations. For more on the measure, see what ATV means in retail and our report on how to increase ATV.

A fitting-room example from Hanes Australasia

At Hanes Australasia, customers spent 18% more when fitting-room help was offered, across 41,000 ratings analyzed. Hanes found a wide gap in fitting-room assistance between stores. It targeted coaching in its lower-performing stores. Suzanne Varigos, Head of Consumer & Customer Centricity, said:

“Even in our busiest stores, we see a clear uplift when the service approach is followed.”

Suzanne Varigos, Head of Consumer & Customer Centricity, Hanes Australasia

Read the Hanes Australasia case study to see how the retailer used customer answers to focus its teams.

Proactive customer service examples in retail

Proactive customer service examples are small things a manager can watch for. The best approach changes with the shopper and the store format.

A team member greets an arrival, stays approachable while restocking or checks whether another size would help. In electronics, an associate might explain the difference between two models. For a gift buyer, one question can narrow the choice.

An appropriate extra-item recommendation is another example. We cover that in more depth in our guide to suggestive selling in retail. Proactive service starts earlier, when someone notices a shopper who might need a hand.

How to greet customers in a store

Greeting customers well means opening the door to help without making anyone feel they have to stop. Three simple approaches are enough to give a team a starting point:

  • A shopper arriving: “Hi, let me know if you’d like a hand with anything.”
  • Someone searching an aisle: “Are you looking for something in particular?”
  • A shopper choosing a gift: “Are you shopping for yourself or someone else?”

Keep the greeting light and follow up when someone seems unsure.

TruRating research

The biggest service gaps are between stores

At the median retailer, the gap between stores was around five to seven times the gap between hours. See where each service behavior varied.

For the middle retailer in each group: how far the share of shoppers saying “yes” differed between its best and worst store, and between its best and worst hour of the day. Gaps are in percentage points.

Greeted
Offered help
Helpful recommendations
Suggested an extra item Largest store gap

What to do with this: Start by comparing stores, where suggestions had the widest spread (49.12 points). Then check the hours when each store’s rate drops.

How these figures were calculated

Source: TruRating transaction-linked Yes/No questions asked at payment, November 1, 2025 to October 31, 2026, across up to 14 retailers in seven retail categories in the US, Canada, Australia and New Zealand.

Store gaps: For each retailer, subtract the lowest store’s “yes” rate from the highest store’s rate. Only stores with at least 300 answers and retailers with at least 10 qualifying stores were included. The displayed figure is the median gap across retailers: 13 retailers for greeting, 6 for help, 5 for recommendations, 11 for suggestions.

Hour gaps: The median difference between a retailer’s highest and lowest hour, from 9 a.m. to 9 p.m. local time. Store and hour figures are separate benchmarks, not comparisons of the same individual stores and hours.

Check on the comparison: Retailers have far more stores than trading hours, so a best-to-worst store range is naturally wider. Leaving out each retailer’s highest and lowest 10% of stores still left gaps of 12.18 points for greeting, 13.81 for help, 8.80 for recommendations and 22.31 for suggestions, all larger than the hour gaps.

Reported rates: The percentage of shoppers who answered yes, shown as the median retailer for each behavior (13 retailers for greeting, 6 for help, 5 for recommendations, 11 for suggestions).

Customer service behaviors can look fine at retailer level and still vary between stores. At the median retailer in our analysis, 87.59% of shoppers reported being greeted. For suggestions of additional items, the median was 61.02%, so suggestions have more room to grow.

The difference between stores was much wider. At the median retailer, there was a 27.48 percentage-point gap between the highest and lowest stores for greeting. The equivalent gaps were 27.26 points for offering help, 24.49 points for helpful recommendations and 49.12 points for suggesting an additional item.

That nearly 50-point suggestion gap raises an obvious coaching question: what do the top stores do differently?

Hours varied far less. Between 9 a.m. and 9 p.m. local time, the median gap between a retailer’s highest and lowest hour was 5.08 points for greeting, 5.34 for help, 3.29 for recommendations and 7.49 for extra-item suggestions. The best-to-worst gap between stores was around five to seven times the gap between hours, so start with the stores, then check the hours inside each one.

About the store comparison

  • Stores included: Locations with at least 300 answers at retailers with at least 10 qualifying stores. Each comparison is between stores belonging to the same retailer.
  • Checking the spread: Excluding the top and bottom 10% of stores still left gaps of 12.18 points for greeting, 13.81 for help, 8.80 for recommendations and 22.31 for extra-item suggestions.

How to build a proactive service model

To improve proactive customer engagement, turn “give great service” into behaviors people can recognize, measure and coach.

  1. Choose what good service looks like: define a few actions that fit the format. An apparel store might focus on greeting and fitting-room assistance; an electronics retailer might focus on offering product guidance.
  2. Ask shoppers what happened: use a short question at payment to find out whether they were greeted, offered help or given a suggestion. Point-of-payment feedback can connect the answer with the purchase.
  3. Compare stores with the right reference: start with your own store median, then use the benchmarks above as context. Look for differences that hold across weeks.
  4. Coach the specific behavior: if shoppers regularly report that help was not offered, focus on when and how associates approach. McKinsey suggests that discovery-led stores may need more specialized product expertise and coaching than convenience-led locations. Our retail coaching guide looks at making that practical.
  5. Look at the hours inside each store: once you know where the biggest gaps are, check whether busy periods or staffing patterns coincide with lower service rates. Test a change and measure again.

Coaching also depends on how teams feel about the job. In an analysis of more than 100 retailers, McKinsey found that companies with a top-quartile employee experience were more than twice as likely as others to achieve a top-quartile customer experience.

KPIs for proactive service

Use a small set of measures that links service delivery with the purchase. The wider set of customer service metrics is useful, but these five keep the focus on what happens on the store floor.

MeasureWhat it tells you
Behavior rateHow often shoppers say the action happened
Spend with and withoutWhether average spending differs when it happens
Gap between storesWhere service is most and least consistent
Gap between hoursWhen a store may need more support
Conversion, with footfall dataWhether service patterns track the share of visitors who buy

Look at the measures together. A strong greeting rate alongside a weaker assistance rate points to a different coaching need than a low greeting rate.

Make the first move count

TruRating asks one anonymous question at payment, while the visit is still fresh. On average, 84% of in-store customers answer, so you hear from enough shoppers to see each store and shift. Every answer arrives joined to the purchase. That shows what shoppers spent when a team member greeted them, offered help or suggested an item, and what they spent when nobody did.

Our TruDI (TruData Intelligence) AI Analyst and our retail experts turn that into a next step: which behavior to coach, in which stores, and what closing the gap is projected to be worth. They also show which stores to recognize for getting it right. Your managers go into the next coaching conversation with the store, the shift and the action already named.

Explore the Shopper Insights 2026 report, watch the webinar or book a demo to see how the approach works across stores. You can also read our wider guide to ways to increase sales in retail.

Useful resources

FAQ

Frequently asked questions

Straight answers about proactive service in stores, from greetings to measuring what shoppers spend.

What is proactive customer service?
Proactive customer service means anticipating what a customer needs and offering help before they ask. A contact center might send an alert before a delivery problem. In a store, a team member greets shoppers, approaches them and offers help with a size, a gift or a second item.
What is the difference between proactive and reactive customer service?
With reactive customer service, your team waits for the customer to ask, then responds. With proactive customer service, your team starts the conversation. In a store, a reactive team answers questions at the register. A proactive team greets shoppers on the floor, checks whether they need another size and helps gift buyers choose.
What are examples of proactive customer service in retail?
Examples include greeting shoppers as they arrive, staying visible on the floor and asking whether someone needs another size. A team member can also check in at the fitting room, help a gift buyer choose, or suggest one item that suits the purchase.
Does proactive customer service increase spending?
Proactive customer service is associated with higher spend. Across 14 retailers we work with, shoppers who said a team member greeted them, offered help, made a recommendation or suggested an item spent a median of 12.05% more per transaction than shoppers in the same stores who said no.
How do you measure proactive customer service in a store?
Ask shoppers at payment whether a team member greeted them, offered help or suggested an item, then link each answer to the transaction. You can compare spend with and without each behavior and see how often it happens by store and by hour.
How should retail staff greet customers?
Greet shoppers soon after they arrive, make eye contact and keep it light, for example “Hi, let me know if you’d like a hand with anything.” If someone looks like they’re searching, ask what they’re looking for. In gift season, ask whether they’re shopping for someone else.
Author

TruRating

Real people, trusted feedback.
At TruRating, we capture real-time, transaction-linked feedback at scale. Integrating with point of sale systems and other touchpoints, we provide retail businesses with reliable customer insights to drive improvements, enhance experiences, and boost performance.

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