OBS. 04 / 10 Demand Capture  ·  Paid Search

Only 12% of in-market pain searches end with The Good Feet Store. The other 88% go to competitors — by default.

Every day, thousands of people search phrases like "plantar fasciitis insoles," "arch support for back pain," and "custom orthotics near me." This is the highest-intent audience in digital — pain sufferers identifying their problem, in their own words, at the exact moment they're ready to act. The Good Feet Store is showing up for 12% of it.

Proven Lift · Test-Market Result
+27%
Appointments increased 27% in dark markets where non-brand search was activated — on 52% less total spend. This is not a forecast. It is the result of a test already run in your own accounts.
The Fix, at a glance.
CURRENT → TARGET · 180 DAYS
Non-Brand Capture
12% 30%
+18 pts · 90 days
Dark Markets
30 0
of 86 Adtaxi stores
Cost Per Appointment
100 80
indexed · −20%
Annual Opportunity
$0 $15-30M
year one
The Highest-Intent Audience You're Not Reaching People typing their exact problem into a search bar — and landing on a competitor.
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

Category-intent search is the highest-quality digital demand signal on the internet. And you're bidding on 12% of it.

When someone types "arch support for plantar fasciitis" into Google, they are telling you three things simultaneously: they have the problem, they know they need a solution, and they're actively shopping. That is a higher-quality intent signal than any targeting algorithm could reconstruct. Missing it is not a performance optimization issue — it is a foundational gap in digital demand capture.

NON-BRAND CAPTURE 12% of in-market problem searches THE GOOD FEET STORE 12% of queries 88% ELSEWHERE competitors win by default
12%
The Good Feet Store's current capture
Share of in-market problem-based searches that The Good Feet Store appears for and wins. Measured across Adtaxi-managed markets. Everything above this number is immediate opportunity.
you
88%
Going to competitors
Chiropractors, podiatrists, Dr. Scholl's, custom orthotic shops, Amazon listings, pain-relief supplement sites — and generic unhelpful results. Every query is a customer identifying themselves, and 88% of them walk into someone else's business.
them
30
Dark markets · zero non-brand
Of 86 Adtaxi-managed stores, 30 are running no non-brand search at all. Not underperforming. Not suboptimal. Zero activation. In those markets, 100% of category-intent search goes to someone else.
35% of stores
+27%
Test-proven lift
In test markets where non-brand was activated, appointments increased 27% on 52% less total spend. The mechanism is not theoretical — it's a result from your own accounts.
appts
Why this matters

This is the single most immediately recoverable revenue in the entire document set. No new creative. No new media platform. No new strategy. Just turn on what's already been proven to work.

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 2025

Digital Analysis Report

NON-BRAND CAPTURE SHARE 12% 88% TO COMPETITORS Problem-intent keywords · arch support, plantar fasciitis, orthotics, foot pain

The Digital Analysis Report quantifies the in-market capture share across Adtaxi-managed accounts. 88% of problem-intent search traffic is going to competitors, drugstore brands, and generic aggregators — not The Good Feet Store.

Corroborating 2025

Adtaxi Platform Reporting · Account Audit

86
TOTAL STORES
30
RUNNING NOTHING

Across 86 Adtaxi-managed stores, 30 have zero non-brand search activated. In those 30 markets, 100% of category-intent demand goes to competitors. The campaigns do not exist — not underperforming, not misconfigured. Simply absent.

Test Proof 2025

Non-Brand Activation · Test Markets

RESULT · DARK MARKETS ACTIVATED Appointments +27% Total Spend −52% More customers. Less spend. Same budget.

Test markets that activated non-brand search produced +27% appointments on 52% less total spend. The result is not a theoretical lift — it's a proven mechanism ready for system rollout.

The Coverage Gap

86 Adtaxi-managed stores. 30 running zero non-brand.

COVERAGE STATUS · BY STORE Running non-brand Dark · zero activation ACTIVE · 56 STORES Currently running non-brand search. Opportunity: expand coverage & budget within the proven markets. DARK · 30 STORES Zero non-brand search running. Every category-intent query goes to a competitor. 100% leakage. Activating the 30 is the single fastest revenue recovery in the deck.
The Dark Markets
30
Of 86 Adtaxi-managed stores, 30 have zero non-brand search. Not underperforming — absent. Each one is a market where every in-market search is handed to a competitor for free, and where the test-market result (+27% appts, −52% spend) has not yet been applied.
The Recovery
+27%
Appointments in test markets that activated non-brand. On 52% less total spend. This is the highest-ROI campaign activation available in the entire document set — a proven, replicable intervention with known economics.
Back view of elderly couple walking together in a sunlit forest
What high-intent capture looks like

Someone types their problem.
Your name is the answer.

03 The Money Left on the Table

Three compounding costs. One immediate recovery.

Non-brand search abandonment is not a subtle optimization problem. It is an absence at the point in the customer journey where intent is highest and capture is cheapest. The costs compound across three distinct forces — and because the mechanism has already been tested in your own accounts, the recovery is not a forecast. It's the activation of a proven intervention.

Force 01 · The 88% Leakage
88% 70%
Share of problem-intent searches lost

Every problem search is a free customer identifier.

When someone types "plantar fasciitis insoles", they are self-identifying as a qualified customer — pre-segmented, pre-qualified, pre-intent-verified. The cost of capturing that query is a paid click. The cost of missing it is the entire lifetime value of that customer. 88% of those opportunities currently go to someone else.

Why the 70% target is conservative Best-in-class specialty retail categories capture 40-50% of non-brand problem-state search. 30% is a first-year target that leaves room for category expansion. It is not a theoretical ceiling.
Force 02 · The 30 Dark Markets
30 0
Adtaxi stores with zero non-brand

35% of the managed footprint isn't even in the game.

30 of 86 Adtaxi-managed stores run no non-brand search. None. Not underperforming — absent. In those markets, every category-intent query goes to a competitor by default, and the store depends entirely on branded search, referrals, and walk-in traffic to make its number.

Why this is the lowest-hanging fruit in the deck There is no strategy required to activate these markets. The keyword sets, match types, landing pages, and budget structures are already proven in the 56 live markets. This is a 30-day rollout task, not a quarter-long strategy exercise.
Force 03 · The Proof
+27% scale
Appointments · on 52% less spend

The test result is the business case.

Test markets that activated non-brand produced +27% appointments on 52% less total spend. More customers. Less money. The math works because non-brand captures existing, in-market demand at a lower CPA than retargeting or prospecting — and every activation is a permanent, compounding lift to the store's baseline.

Why scaling is low-risk The test was not a clever optimization or a one-time promotion. It was the straightforward application of standard non-brand search architecture. The same mechanism, applied to the 30 dark markets, produces the same pattern of lift — because the underlying consumer behavior is identical.
Category Capture Efficiency at Each Stage

Activate what's dark. Then expand what's live.

Current 12% capture · 30 markets dark
12% · 65% of footprint live
baseline
90-Day · Dark Markets Activated all 86 stores running
~22% · 100% live
+10 pts
Year One · Expansion optimized coverage
30% · full category
+18 pts
Recoverable · Year One
+$15-30M from activation + expansion

At system scale, non-brand is the fastest recovery in the deck.

Current State · 2025
Category demand abandoned
88%

Share of in-market problem-intent search that goes to competitors. Every day. Every query. Every market. The leakage is not marginal — it is the default state.

Year Two · Upside
Category-leading capture
$40-60M

Capture share rises to specialty-retail benchmark levels. Non-brand becomes the primary lower-funnel demand engine. Same-store economics improve because the stores are no longer depending on branded search and walk-ins.

What this means

This is the most directly recoverable revenue in the entire RFP package. No new creative. No new platforms. No new strategy. Just turn on what is already proven to work — in the 30 markets where it isn't.

04 How We Solve It

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

Non-brand search is a Ryze-led discipline. Jekyll + Hyde's TV creates the problem-state awareness that drives category-intent searches; Ryze operates the architecture that captures them. The path from "my back hurts" on a Tuesday to a booked appointment on Thursday runs through non-brand — and today, that path is disconnected in 30 markets.

TV creates the problem-state search. Non-brand captures it.
JEKYLL + HYDE Problem-State Awareness THE HIGH-INTENT MOMENT where 88% of intent currently leaks RYZE AGENCY Non-Brand Capture TV Problem Salience PAIN Moment Hits SEARCH Problem-Intent NON-BRAND CAPTURE Ryze · All 86 Stores LANDING Store Locator BOOK APPT Appointment In-Store Sale
Three proofs non-brand activation works — in your own account data.
EVIDENCE IN DATA 1 ACTIVATION PROOF +27% / −52% Appts up, spend down in test-market cohort non-brand captures cheaper than retargeting 2 CAPTURE GAP 12% → 88% The Good Feet Store vs. competitors in category-intent search 88% of qualified traffic goes elsewhere 3 FOOTPRINT GAP 30 of 86 stores running zero non-brand · 35% of footprint the gap is absence, not execution READY TO SCALE
Jekyll + Hyde
Supporting — Problem-State Awareness

TV creates the problem-state search. Ryze captures it.

Non-brand search is a Ryze-led discipline, but the volume of category-intent searches is largely a function of how present the brand is in the consumer's mind. Jekyll + Hyde's TV investment creates problem-state awareness — "my back hurts, I need arch support" — which translates directly into non-brand search volume. The two mechanisms are inseparable.

  • Problem-state RTB in creative "Pain-free in 90 days" frames the problem in terms that drive category-intent search behavior, not just brand-aware viewers. Every TV spot produces downstream non-brand lift, not just branded search lift.
  • TV flight calendar shared Ryze receives the flight schedule in advance. Non-brand budgets scale up during flights to capture the incremental category search traffic, and scale down during dark weeks to avoid inefficient spend.
  • DMA-level TV coverage feedback Non-brand search volume by DMA becomes a near-real-time proxy for TV effectiveness. Ryze feeds that signal back to J+H for market-by-market budget allocation.
  • Creative asset library for landing pages Non-brand landing pages inherit the same RTB, same visual identity, same clinical claim language as the TV creative. One consistent message from search result to in-store fitting.
Ryze Agency
Lead — Non-Brand Capture Architecture

Turn on 30 dark markets. Expand coverage in 56. Capture 30% of category intent.

Non-brand search is foundational Paid Search territory — a Ryze specialty. The test-market result (+27% appts on 52% less spend) is the blueprint. The work is to apply that blueprint to the 30 dark markets first, then expand coverage and budget in the 56 active markets. The result is a permanent, compounding lift to every store's baseline demand — without adding a single new platform or channel.

  • Dark-market activation · day 30 All 30 dark markets live with proven keyword sets, match types, and landing page architecture from the test cohort. 30-day activation — not a strategy exercise, a rollout.
  • Coverage expansion · day 60 Keyword and match-type expansion in the 56 active markets to address problem-intent long tail (symptom-specific, condition-specific, activity-specific queries) currently left uncaptured.
  • Landing page optimization · day 90 Problem-specific landing pages for the top 20 problem-intent queries. The search experience matches the intent behind the query — not the brand's internal taxonomy.
  • Franchise-owned campaign audit Audit any franchise-managed paid search accounts against the Adtaxi baseline. Identify duplication, gaps, and underperformance. Recommend a unified architecture where the franchise economics support it.
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
Non-Brand In-Market Capture
12% CURRENT
Current
12%
12-Mo Target
30%
Primary KPI · P1
Dark Markets Remaining
30 OF 86 ADTAXI STORES
Current
30
90-Day Target
0
Primary KPI · P1
Cost Per Appointment blended, indexed to 2025
100 INDEX · 2025 = 100
Current
100
12-Mo Target
<80
Supporting Diagnostic KPIs
Supporting P2 · Weekly

Non-Brand Appointment Volume · By DMA

TARGET · ALL 86 LIVE Appointments attributed to non-brand search by DMA. Direct line of sight into which markets are responding to activation and which require additional coverage.
Supporting P2 · Weekly

Cost Per Non-Brand Appointment

TARGET · −30% vs. RETARGETING Non-brand captures existing in-market demand at a lower CPA than retargeting or prospecting. The spread is the evidence the mechanism is working.
Supporting P2 · Monthly

Problem-State Keyword Coverage

TARGET · TOP 200 ACTIVE Share of top problem-intent queries (arch support, plantar fasciitis, orthotics, foot/knee/back pain) that The Good Feet Store bids on. Coverage ladders up as budget allows.
Supporting P3 · Monthly

Landing Page Conversion · Non-Brand

TARGET · > 8% BOOK Landing pages built for problem-intent queries should convert above 8% to booked appointments. The number diagnoses creative and page quality — not just media efficiency.
The 180-day accountability roadmap. Every milestone is measurable.
DAY 0 kickoff DAY 30 Dark Markets Live All 30 dark markets running non-brand from proven test blueprint. DAY 90 Coverage Expanded All 86 stores live. Top 200 problem-intent keywords covered. DAY 180 Lift Documented Capture 12% → 22%. $7-15M annualized recovery documented. YEAR 1 30% Capture System-wide, all DMAs. $15-30M revenue lift.
Couple walking together on a tree-lined path in a peaceful park
What high-intent capture actually looks like

A Tuesday at 10:47 AM. Someone types "arch support for back pain" — and lands on The Good Feet Store three miles from their house.

That person just did something remarkable. They admitted to themselves they need help. They chose to search for it. They are, in that moment, the most qualified customer in the category — pre-segmented, pre-intent-verified, ready to act. When The Good Feet Store is the answer to their query, they walk into a store that week. When a competitor, a drugstore brand, or a generic aggregator is the answer, they don't. And today, 88% of the time, someone else is the answer. The recovery is not a strategy exercise. It is activating what has already been proven to work, in the markets where it isn't running yet.

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Observation 03
The appointment funnel loses 74% of leads.
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Observation 05
Attribution fragmented across three agencies.