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WiserFocus wiserfocus.ai
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Built for PE ops / value creation teams managing 50–400 store retail networks

Find Hidden EBITDA in Your Store Network

We analyze your store performance data and identify operational actions that increase EBITDA within 90 days.

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✓ No ERP integration ✓ Secure exports only ✓ Board-ready output
What we isolate from store performance
Market & Location
Retail Alpha ™
Structural — not controllable Controllable uplift
~35–42% of variance is controllable
3–5% typical revenue gap found
90 days to first EBITDA action

Retail Alpha, in one sentence

α
Retail Alpha is the controllable residual after removing market growth, seasonality, and location potential effects from store performance — the part of EBITDA you can actually influence.
2–3 weeks Paid Pilot entry
4–6 weeks Full Diagnostic
Store alpha map — 150 stores
Region A Region B Region C Region D top cluster
Low alpha
High alpha
Controllable uplift identified
across 150-store network
+$8M EBITDA

Retail chains lose millions in hidden store execution gaps

Most retail chains cannot answer:

  • ? Why do similar stores perform so differently?
  • ? Which promotions actually increase margin?
  • ? Which stores are underperforming due to execution issues?
These hidden gaps often represent 5–15% EBITDA upside.

Retail Performance Diagnostic

WiserFocus analyzes your store network data to separate:

  • ✓ location effects
  • ✓ demand factors
  • ✓ promotional impact
  • ✓ execution performance
This reveals where EBITDA is being lost — and how to recover it.
What We Diagnose
Store Performance Variance
Why similar stores produce different results across regions and formats.
Promotion Incrementality
Which campaigns drive real margin vs. cannibalizing existing demand.
Execution Gaps
Underperformance attributed to operational execution rather than market conditions.
EBITDA Recovery Path
Actionable 90-day roadmap with quantified uplift range and prioritized store actions.

Best-fit profile

Retail Alpha Engine™ converts store variance into a defendable value-creation plan. It performs best when variance is visible, promo activity is high, and the board wants clarity.

Company profile

PE-backed, promo-active retail chains

50–400 stores, $150M–$1.5B revenue, centralized retail operations, exit horizon 24–48 months.

Strong signals

Store spread > 15% + margin pressure

Regional inconsistency, discount saturation, unclear root causes, urgency for operational improvement.

What you get

Controllable vs structural decomposition

Alpha map, promo incrementality findings, and an EBITDA uplift range with a 90-day roadmap.

Illustrative outcome (anonymized)

Concrete numbers help portfolio ops teams decide quickly. This is an anonymized example from a comparable network analysis.

A $400M specialty retail network uncovered an EBITDA opportunity range

In a 150+ store network, potential-adjusted underperformance revealed a modeled 3.1% revenue gap. After incrementality adjustments on promotions, the impact translated into an $8M EBITDA opportunity range under conservative execution constraints.

Modeled EBITDA uplift waterfall — anonymized

$0 +$2M +$6M +$10M Baseline EBITDA $24.0M Structural Normalization +$2.8M Execution Alpha (Sales) +$3.1M Promo Alpha (ROI) +$2.1M Target EBITDA $32.0M +$8M UPLIFT
Figures represent modeled scenarios based on historical store-level data and sensitivity assumptions. Results vary by category mix, promo intensity, and operational capacity.
Valuation Impact Operational Alpha = Valuation Leverage For a typical $500M retailer: Annual Revenue $500M Target EBITDA Uplift 1% ($5M) Valuation Multiple 8.0x Value Delta +$40M +$5M EBITDA × 8.0x MULTIPLE +$40M Enterprise Value Delta

What We Diagnose?

Six diagnostic modules that isolate controllable drivers and translate them into an investor-grade EBITDA uplift plan.

1. Store Potential Normalization Isolating pure management execution from location advantages. Remove location bias and local-demand distortions to compare stores fairly and surface structural underperformance. Network Variance Heatmap At Potential Execution Gap (Alpha Target) 124 Stores Analyzed
2. Execution Variance Decomposition Quantifying the controllable residual (Managerial Alpha). Split performance spread into market/seasonality/location vs controllable drivers (pricing, promos, field execution, managerial effects). Variance Contribution (%) Location Effect 15% Macro Growth 12% Field Execution 38.5% (Alpha) Promo Waste 26.5% EXECUTION LEAKAGE -$18.2M CONTROLLABLE ERROR 38.5%
3. Promo Causality & Incrementality Detecting margin-destroying cannibalization with synthetic control. Measure true incremental impact and detect cannibalization to reclassify low-yield promotional activity. Observed Sales vs. True Uplift CANNIBALIZED True Incremental Observed ACTION: KILL "BOGO" CAMPAIGN
4. EBITDA Scenario Builder Interactive board tool to simulate valuation impact based on alpha capture. Adjust Parameters Field Execution Capture 50% Promo Waste Reallocation 100% Target Exit Multiple 8.0x TARGET EBITDA $29.2M x 8.0x Multiple ENTERPRISE VALUE DELTA +$41.6M
5. Action Playbooks Concrete operational actions to improve store performance. Priority Nodes — Operational Insights P1 Peak-hour staffing realignment — 12 high-priority stores +$1.2M P2 Discontinue 3 zero-ROI promo SKUs in Region C +$0.9M P3 Manager coaching program for bottom-quartile execution stores +$2.1M Total: +$4.2M EBITDA
6. Board Pack Investor-grade output: 10-module deliverable ready for board, LP, or exit meeting. WISERFOCUS — BOARD PACK CONFIDENTIAL Executive Summary Top 3 Actions Retail Alpha Decomposition Network Heatmap & Store Ranking Execution Variance Breakdown Promo Incrementality Summary Pricing & Mix Integrity EBITDA Uplift Simulator (90d) Valuation Impact (Sensitivity) Action Plan (30-60-90 Days) EBITDA UPLIFT PREVIEW Baseline +Exec +Promo Target UPLIFT +$6–12M 30 Days 60 Days 90 Days Quick wins & data Structural fixes Full execution & board review VALUATION IMPACT +$48M Enterprise Value Delta SENSITIVITY MATRIX 6x 8x 10x 5% 10% 15% 20% +$18M +$24M +$30M +$36M +$24M +$32M +$48M +$64M +$30M +$40M +$60M +$80M Multiple → EBITDA uplift Board-Ready Output 10 modules delivered

Designed for value creation conversations

Export-based, low-friction analysis that converts store variance into a defendable uplift range and a 90-day operational plan.

How it Works Request Diagnostic

Typical findings

10–20%
performance gap between comparable stores in the same network
15–30%
promo inefficiency — promotions running that destroy or cannibalize margin
5–12%
EBITDA improvement opportunity identified within 90 days

Even large retail chains often have millions in hidden operational upside.

EBITDA Impact Heat Map — 120 stores
Underperforming High Alpha Controllable EBITDA Opportunity: +$6.2M

Example Insight

Anonymized finding from a comparable network analysis.

Retail chain with 120 stores

Our analysis revealed significant execution gaps between comparable stores.

Top findings
✓ Peak-hour staffing misalignment across 18 stores
✓ Inefficient promotional mix driving margin erosion
✓ Execution variability between store managers in same region
Estimated EBITDA improvement opportunity
$6.2M annually
Figures based on modeled scenarios. Results vary by network size, category mix, and execution capacity.

Who we work with

WiserFocus is designed for retail chains with:
✓ 50–400 stores
✓ $50M–$1B revenue
✓ Private equity ownership or growth stage
✓ Multi-location restaurant and franchise networks
Why this segment
⚡
Fast decision-making — Ability to move quickly when ROI is clear
📈
High analytics need — store-level data exists but insight is missing

Retail Performance Diagnostic

A structured diagnostic engagement that includes store network performance modeling, root cause decomposition, and an operational action plan.

Transparent pricing

Fixed-scope engagements. No retainer. No long-term commitment.

Paid Pilot
€7,500
starting from
✓ 2–3 week delivery
✓ Alpha snapshot (subset of stores)
✓ Promo incrementality highlights
✓ Executive briefing deck
Request Pilot
Full Diagnostic
MOST POPULAR
Custom
based on network size
✓ 4–6 week delivery
✓ Full network modeling
✓ EBITDA uplift simulation
✓ Board-ready pack + 90-day roadmap
Get a Quote
Ongoing Advisory
Custom
quarterly or monthly
✓ Ongoing performance monitoring
✓ Promo & ops action reviews
✓ Board update support
✓ Priority access
Let's Talk
✓ No ERP integration required   ✓ CSV / Excel exports only   ✓ Fixed scope, no retainer

FAQ

Short, investor-aligned answers for Portfolio Ops teams.

Do you require ERP/POS integration?

No. We start from exports. The Paid Pilot is designed to validate alpha quickly with minimal operational burden.

How do you avoid location bias when comparing stores?

Potential normalization separates structural effects from execution so stores are compared relative to true demand potential.

Can you measure true promo impact (incrementality)?

Yes. We quantify incrementality and detect cannibalization to identify low-yield promotional activity.

What do we receive at the end?

A board-ready pack: alpha map, controllable vs structural decomposition, uplift ranges with sensitivity bands, and a 90-day action roadmap.

Discover hidden EBITDA in your store network

Request a diagnostic to identify operational improvement opportunities across your stores.

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Typical data exports

CSV/Excel is enough

Store-week sales (2–3 years), category/SKU sales, promo calendar, price changes, margin bands. Optional: field visit logs, stock-out signals. No PII required.

Pilot request

Tell us about your network