OBS. 01 / 10 Demand Creation  ·  Brand

The system grew 7.2%. Same-store demand declined 10.7%.

Total New Ups grew year-over-year in November 2025 — entirely from 47 new store openings. The 242 stores that were open a year ago lost more than 10% of their customer volume. Every headline celebrating system growth is quietly papering over a same-store business that is shrinking.

Same-Store Revenue · 2025 Loss
$6.3M
242 same-store locations × 10.7% decline × ~350 New Ups/store × $700 NSNU. If the trend accelerates to 15% in 2026, the gap widens to roughly $9M annually.
The Fix, at a glance.
CURRENT → TARGET · 180 DAYS
Same-Store NU YoY
−10.7% +2%
+13 pts
NSNU Trend
Flat +6%
$665 → $740
TV-Active DMAs Recovering
40%
by day 90
Annual Recovery
$0 $12-24M
year one
Who Isn't Walking In Anymore Behind the −10.7% are real people in existing markets who used to buy — and aren't.
Senior couple walking hand in hand on a gravel path
Everyday Earl & Elizabeth
Woman jogging on a sunny park trail
The Weekend Athlete
Happy family playing outdoors, parents with child in nature
The Active Parent
Happy elderly couple walking together on a sunny day
The Return to Joy
01 Problem Identified

The +7.2% headline is a composite. Underneath it, the existing business is shrinking.

Total system New Ups grew 7.2% year-over-year in November 2025 — a number the team has every right to celebrate. But the headline is a blend of two opposing forces. On one side: 47 new store openings adding fresh traffic at the top of the system. On the other: 242 existing locations quietly losing 10.7% of their customer volume.

SYSTEM COMPOSITION +7.2% Total New Ups · YOY · Nov 2025 DECOMPOSED 47 new stores +17.9% contribution 242 same-stores −10.7% same-store New doors masking same-store deterioration.
+7.2%
The headline everyone sees
Total system New Ups YOY. Used in board decks, franchisee updates, and agency reports. The number is real — but it does not describe the underlying business.
Nov '25
47
New stores added in 12 months
Nearly 20% store-count expansion. Every new door adds traffic at the system level, creating a mathematical tailwind that masks weakness elsewhere.
+19.4%
−10.7%
Same-store New Ups YOY
The 242 locations open a full year ago are now doing less business than they were. This is the honest number no incumbent agency has surfaced clearly.
242 stores
Flat
NSNU holding at $665–$760
Net Sales per New Up is unchanged year-over-year. All system performance is traffic-driven, not ticket-driven. When the traffic engine weakens, there is no backstop.
2024–25
Why this matters

Any strategy judged on total system New Ups alone will optimize for the wrong outcome. Growth that depends on adding doors faster than existing doors lose customers is structurally fragile — and the fragility compounds.

02 The Data They Provided

Three documents. One consistent story. Your data.

Every number on this page is sourced to a document The Good Feet Store team provided in the RFP package. Nothing here is agency estimation dressed as insight. The evidence is corroborated across three independent sources that triangulate the same conclusion.

Primary Source Dec 2025

Adtaxi Franchisee All Hands

Total NU
+7.2%
Same-store
−10.7%
New stores
47

Reports the year-over-year split directly: total system New Ups +7.2% vs. same-store −10.7%. The gap is entirely explained by 47 new stores added in the prior 12 months.

Corroborating Dec 2025

National TV Buy Analysis · MPRB

$760 TOP $665 BOTTOM Q1'25 Q4'25 NSNU · flat all year

Net Sales per New Up held in the $665–$760 band across 2025. When sales improvements are traffic-driven and traffic is declining in same-store markets, the business has no backstop.

Confirming 2025

Digital Analysis Report

4 / 5
DMA SEGMENTS
NS
CORRELATION

Across Extra Large, Large, Small, and Extra Small DMAs, digital spend shows no statistically significant positive correlation with New Up volume. Digital captures demand — it does not create it. The demand itself is softening.

The Diverging Lines

What system growth looks like. What same-store growth actually is.

+15% +7.5% 0% −7.5% −15% NOV '24 FEB MAY AUG OCT NOV '25 +7.2% Total system −10.7% Same-store 17.9-PT GAP new doors fill it zero line Total system New Ups (all 289 stores) Same-store New Ups (242 stores open a year ago)
The Reported Number
+7.2%
Celebrated in board decks. Real. And a composite of 47 new openings plus a 10.7% decline underneath. The system is running two businesses in opposite directions.
The Business Reality
−10.7%
Same-store New Ups in 242 locations. Every new store added to the system fills in the gap — but the arithmetic only works as long as new openings outpace same-store loss. That ceiling is closer than it looks.
Back view of elderly couple walking together in a sunlit forest
What same-store recovery looks like

Fill the stores you have before you open the next one.

03 The Money Left on the Table

Three compounding costs. Three compounding recoveries.

The same-store decline is not a single number. It is a set of compounding effects — lost revenue in the current year, accelerating loss in the next, and an eroding floor underneath the whole system. Each one has a different fix, and each one pays back on a different timeline.

Force 01 · Current Year Loss
−10.7% $6.3M
2025 same-store revenue gap

The loss already on the books.

242 same-store locations × 10.7% decline × ~350 New Ups/store × $700 NSNU. This is the revenue the existing store base gave up in 2025 alone — before any 2026 acceleration, before any compounding, before any new opening outpaces the floor.

Why the math is conservative The $700 NSNU is the midpoint of the observed $665-$760 range. Per-store New Up volume is a system-wide average. DMAs with the steepest same-store declines will produce larger per-store losses than this baseline suggests.
Force 02 · 2026 Acceleration
−10.7% −15%?
If the trend continues unchecked

The asymmetry gets worse every quarter.

New store openings add revenue linearly. Same-store decline compounds against a larger base. If the 2026 decline accelerates to 15%, the same-store gap widens to roughly $9M annually — and the number of new stores required to paper over it grows at the same pace.

Why acceleration is likely without intervention Brand awareness among pain sufferers sits at 3% unaided. Without sustained top-of-funnel rebuilding, the same-store base continues to lose customers to competitors, to inaction, and to the broader decline of local walk-in retail.
Force 03 · The New-Store Ceiling
47 plateau
Openings required to mask decline

You can't open your way out forever.

At current pace, 47 new openings per year fill the same-store gap and generate headline growth. But every new opening is a real estate decision, a franchisee commitment, and a capital requirement — and the underlying unit economics of each new store depend on the awareness baseline the same-store problem is eroding.

Why the ceiling matters now The business cannot compound new-store openings indefinitely. Every year that same-store loss continues, the new-store math gets harder. The only durable fix is restoring demand inside the stores already open.
Same-Store Revenue Per Existing Location

The recovery is modest. The scale is not.

Current 350 NUs/store · declining
$245,000
−10.7%
Post-Intervention 380 NUs/store · 18-month target
$266,000
+8.5%
Recovery Ceiling 420 NUs/store · 2024 baseline restored
$294,000
+20%
System-Wide Same-Store Recovery · Year One
+$5M to $12M

Same-store recovery at scale changes the entire growth narrative.

Current State · 2025
Same-store revenue loss
$6.3M

The bill already paid. 242 existing locations × 10.7% decline × 350 NUs × $700 NSNU. Recorded, booked, and absorbed by the new-store tailwind.

24-Month · Upside
Restored to 2024 baseline
$30-50M

Same-store volume returns to pre-decline levels across the majority of DMAs. The system now grows on both the new-store engine and the same-store engine simultaneously — a structurally different business.

What this means

The goal is not "more stores." The goal is more qualified customers into every existing store — and then more stores, supported by a same-store base that is actually growing.

04 How We Solve It

One strategy. Two specialists. Shared accountability for the handoff where revenue disappears.

Jekyll + Hyde protects and extends the national TV buy that reversed the 2H 2025 decline. Ryze activates the digital layers that linear TV cannot reach — CTV for streaming homes, non-brand search for problem-based intent, Meta prospecting for category audiences. Together, we shift the growth engine from "open more doors" to "fill every existing door."

Where TV builds the brand, digital extends the reach.
JEKYLL + HYDE National Demand Creation SAME-STORE AMPLIFICATION where existing stores get more customers RYZE AGENCY Digital Demand Capture TV National Buy RADIO By DMA Size CTV Streaming Homes NON-BRAND SEARCH Problem Intent META Prospecting BRAND SRCH Capture Intent Existing Store
Three proofs the architecture works — already visible in the data you provided.
EVIDENCE IN DATA 1 NATIONAL TV PROOF −6% CPO H1→H2 2025 swing vs. +19% / +7% prior years TV creates same-store demand 2 CTV PROOF +8.5% lift Branded search, month 1 22 locations, 9 DMAs CTV extends TV into streaming homes 3 NON-BRAND PROOF +27% appts on 52% less spend 30 of 86 stores dark today Non-brand captures problem intent SAME-STORE RECOVERY
Jekyll + Hyde
Lead — National Demand Creation

Protect the TV buy that's already working. Then extend it.

The national TV buy launched in July 2025 reversed a two-year seasonal decline pattern. CPO improved −6% H1→H2 while local spend was down. That is the single strongest same-store demand signal in the entire document set — and it is Jekyll + Hyde's work. The priority is to sustain it, extend it into underpenetrated DMAs, and license the creative for digital amplification.

  • Protect the national buy The -6% CPO swing is the proof the investment works. Every budget conversation starts from "do not cut what is demonstrably restoring same-store traffic."
  • Extend into underpenetrated DMAs Market-level TV investment data paired with Ryze's branded-search-as-TV-proxy attribution identifies the DMAs with the steepest same-store decline and the weakest current TV presence.
  • License TV creative to CTV Same spots, same RTB ("pain-free in 90 days"), deployed by Ryze into the ~50% of households that no longer have linear TV. One message, two distribution systems.
  • Radio allocation by DMA size Medium DMAs show statistically significant radio lift; Extra Small DMAs do not. Radio strategy is market-specific, not systemwide — the Radio Analysis already says so.
Ryze Agency
Lead — Digital Demand Capture

Reach the households TV can't. Capture the intent TV creates.

Every unit of demand the national TV buy generates in same-store markets needs to land somewhere. Ryze activates the four digital layers that either (a) extend reach into audiences linear TV cannot touch, or (b) capture TV-created intent before it leaks to a competitor. All four are live within 90 days.

  • CTV deployment · streaming homes Jekyll + Hyde spot creative licensed and run against streaming-only audiences in TV-active DMAs. 8.5% branded search lift already demonstrated in 22 test locations.
  • Non-brand search · 30 dark markets Problem-based keyword activation ("arch support for back pain," "plantar fasciitis insoles") in the 30 Adtaxi-managed stores not currently running non-brand. +27% appointments at 52% less spend is a known outcome, not a test.
  • Meta prospecting · franchise benchmark Upper-funnel prospecting in same-store markets at the $3,000-3,700 per-store level that top-performing franchise groups already operate at. Gender-matched creative aligned to the current TV spot.
  • Branded search · precision during flights 100% impression share during TV flight weeks. Capped at the efficient frontier during dark weeks. Every TV-generated branded search lands on The Good Feet Store, not a competitor.
05 The KPIs

The instruments by which both agencies should be held accountable.

Three primary KPIs drive the intervention and define success. Four supporting KPIs surface the diagnostic detail that tells us why a metric is or isn't moving. All seven feed one shared dashboard that both agencies access and the client owns.

Primary KPI · P1
Same-Store NU YoY
−10.7% CURRENT
Current
−10.7%
12-Mo Target
+2%
Primary KPI · P1
Per-Store Traffic Index
89 INDEX · 2024 = 100
Current
89
12-Mo Target
>102
Primary KPI · P1
Branded Search by DMA TV proxy metric
Not Tracked TODAY
Current
90-Day Target
Live · by DMA
Supporting Diagnostic KPIs
Supporting P2 · Monthly

New vs. Returning Mix at Register

TARGET · > 70% NEW Rising new-customer ratio proves same-store recovery is reaching people who had never walked in — not just reactivating existing customers.
Supporting P2 · Quarterly

Same-Store NSNU Trend

TARGET · $665 → $740 NSNU has been flat for a year. A trending NSNU signals the business is no longer 100% traffic-dependent — the growth engine has more than one lever.
Supporting P2 · Monthly

CTV-Active Market Lift Delta

TARGET · > 10% DELTA Branded search lift in CTV-active DMAs vs. TV-only DMAs. The incremental contribution of reaching streaming households TV cannot touch.
Supporting P2 · Weekly

Non-Brand In-Market Capture

TARGET · 12% → 30% Share of in-market problem-based searches that The Good Feet Store captures. Today 88% goes to competitors — the fastest fixable same-store leak.
The 180-day accountability roadmap. Every milestone is measurable.
DAY 0 kickoff DAY 30 Attribution Live TV flight calendar shared. Branded search proxy built. Dark markets identified. DAY 90 Digital Layers Live CTV in top 5 markets. Non-brand in 30 dark DMAs. Meta prospecting scaled. DAY 180 Trend Reversal Same-store NU flat or up in 40% of TV-active DMAs. $5-12M annualized recovery. YEAR 1 System-Wide Positive Same-store growth positive system-wide.
Couple walking together on a tree-lined path in a peaceful park
What same-store recovery actually looks like

Existing stores running at full capacity. Customers walking back into brand-aware DMAs. A business that grows on two engines.

Same-store recovery isn't an abstract metric. It's the family that lives a mile from one of your 242 existing stores, sees the TV spot, searches the problem on their phone, gets served the right answer, walks in, and walks out with their first The Good Feet Store arch supports. Multiply that by 350 per store per year, across 242 stores, across 135 DMAs — and the system stops needing to open its way to growth. It grows on both the new-store engine and the same-store engine, simultaneously. That is a structurally different, structurally stronger business.

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Observation 02
Brand awareness is critically low in a $2B+ market.