People
Ankur Desai
Global Co-Leader of AI Monetization, Partner & Managing Director
New York
In a retail or service environment, same-store sales growth is often treated as a marketing problem or an operations problem. But in reality, it is a customer funnel problem.
We have seen this phenomenon play out multiple times across companies:
An auto services chain sees car counts plateau despite increased paid search spend;
A specialty footwear retailer drives record foot traffic through a promotional event but watches average ticket and repeat visit rates decline;
A fast-casual fashion brand acquires thousands of first-time buyers through social media campaigns yet struggles to convert them into a second purchase.
The initial instinct can be to spend more on acquiring or activating customers—more media, more promotions, more impressions. But additional spending on these activities won’t always address the root cause. It is leakage in other stages of the customer funnel: customers dropping out at consideration, visit, purchase, or retention stages.
Our experience suggests that companies who consistently grow comparable store sales share one discipline in common: They know exactly where customers are falling out of the demand funnel. They manage the customer demand funnel as a living system—tracking how many people they lose at every step, from first exposure to the brand all the way through to a loyal repeat customer—and relentlessly fix the largest leaks before moving on to the next. Unlocking like-for-like volume growth, which we recently covered in an article for the EMEA market, will also be the in-depth focus of the second chapter in our upcoming World Retail Congress report, “Unlocking volume growth: Retail’s defining challenge."
As an example of our approach in practice: We recently supported a national retailer facing multi-year comparable store sales declines to conduct a full-funnel diagnostic. This revealed that for select store cohorts, the largest leakage areas were not at the top of the funnel where the company had been investing, but at the conversion and retention stages: Customers were reaching stores but either not turning into a “guest” or not returning. By sequencing interventions to address the highest-impact leaks first, the retailer reversed its comparable store sales trajectory within a year. It is this discipline of treating the funnel as a diagnostic system that helps retailers achieve durable same-store growth.
What makes this framework powerful is not the stages themselves—most retailers recognize them intuitively—but what it requires functionally. Marketing, store operations, merchandising, HR, IT, finance, and customer service teams must share one common view of where customers are falling away and align their efforts on the biggest gaps.
Too often, each function optimizes its own piece of the funnel in isolation—e.g., marketing measures impressions and clicks, store operations tracks conversion rates and average revenue per order (ARO), and merchandising optimizes pricing and inventory. But no one is watching the full journey and asking: Where is the most value leaking through the cracks?
Digging into the five stages of the customer demand funnel
Stage 1: Awareness
When brands lack recognition, or consumers are simply unaware that a store is located near where they live, they face an uphill battle to enter shopper consideration sets. In highly competitive retail markets—particularly service categories where purchase intent is episodic—brands that are not top of mind when the need arises are effectively invisible.
This tends to happen when media targeting is broad and generic, rather than anchored on clearly defined priority customer segments. Companies need to take advantage of customer and store data to help select these segments as well as allocate local budgets. It’s also critical to utilize local listings, online reviews, maps, and signage to signal to local shoppers that “we’re here, for people like you, near you.”
To better leverage data, brands can cluster existing customer metrics and store catchment areas to identify high-value lookalike audiences around each location, and concentrate awareness spend on these micro-geographies. By then activating these audiences across channels such as paid search, social, connected TV (CTV), online video, over-the-top (OTT), direct mail, and email with locally relevant creative, they’ll likely see their awareness jump.
Stage 2: Consideration
Awareness is step one, but sometimes even when customers are aware of a store, they still choose a competitor when product or service needs arise. Often, this is due to unfavorable price perception, limited value clarity, or better relationships with existing providers.
To rise within customer consideration sets, brands need to clearly define their value proposition—what makes your store different from, and better than, the competitors? Trust (earned via word-of-mouth reputation and online reviews), convenience, experience, and high-quality products may matter more to shoppers than simply a better price. Additionally, promotional messaging should be tailored to specific customer segments, service offerings, and urgent needs, rather than blanket messaging around deals. And when customers reach the moment of decision, an easy-to-navigate, user-friendly website that indexes on the appropriate informational or experiential elements reduces friction and boosts consideration.
Stage 3: Visit
Even customers who intend to visit do not always follow through. Appointment no-shows, abandonment during online booking, and loss of walk-ins to more conveniently located competitors all erode actual customer visits below the level that awareness and consideration investments should produce. The gap between "I need to go get this product/service" and "I actually pulled into the lot today" is where a significant portion of same-store sales opportunities evaporate.
Companies can mitigate such issues by streamlining online appointment booking flows, minimizing steps while providing real-time availability. Automated appointment confirmation and reminder communications, with easy rescheduling to reduce no-shows, will help ensure customers show up as intended.
Stage 4: Purchase
Getting customers in the door is only half the battle—many leave without purchasing as much as brands hope, or without any purchase at all. But declined services represent one of the most significant and addressable sources of lost revenue in retail service businesses.
Brands can mitigate missed opportunities by establishing a consistent in-store service recommendation playbook that separates urgent from advisory findings, links to customer service histories, and equips associates with clear communication tools and scripts.
Stage 5: Loyalty & Retention
Many companies struggle with bringing the customer back after the first visit. In service-oriented businesses, where purchases are episodic and driven by need, the absence of proactive retention investment means customers who had a satisfactory experience simply forget to return—or default to whoever reaches them first.
For chains with large customer files, declining retention rates compound quickly into significant same-store sales erosion: a 2-3 percentage point decline in one-year retention can translate to tens of millions of dollars in annualized revenue loss. This happens when CRM programs operate in silos, lifecycle comms are either absent or generic, and all customers are treated the same regardless of their actual or predicted worth.
The solution? Build predictive CLV models to tier customers by current and future expected value and use those tiers to guide investment levels in retention offers, personal outreach, and service recovery. Layer on propensity models for repurchase and churn to trigger lifecycle journeys—onboarding after a first visit, service-due reminders calibrated to actual usage data, lapse-prevention offers for at-risk customers, and win-back campaigns for recently lost ones.
The road ahead
Companies that consistently grow same-store sales do not guess where the problem is. They measure every stage of the customer journey, identify where the biggest gaps are relative to their potential, and focus their investment and operational effort on closing those gaps—relentlessly and in sequence. The funnel creates the common language that allows companies to stop defending individual function metrics and start asking the question that actually matters: How many customers are we gaining or losing, and where?
AI/ML and GenAI do not replace this discipline; they accelerate it. They help companies find the leaks faster, predict which customers are most at risk, personalize the interventions that will win them back, and re-allocate spend in real time toward the stages and locations where the next dollar of effort will provide the greatest return.
Learn more in our report in partnership with World Retail Congress, releasing April 2026.
