RE-CON Intelligence · Site Analysis Division
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// Site intelligence for retail real estate

Know the ground
before you commit.

RE-CON gathers intelligence on every trade area, separates real signals from noise, and turns the locations you already run into a forecast for the next one.

ASSESSMENT
0 – 5 score
FORECAST
Revenue range
VERIFIED ON
Unseen stores
FILE RC-0742 · SUBJECT SITECLIENT EYES ONLY
2 MI1 MIK-123.4K-034.4K-212.6K-091.7K-173.1SUBJECT
INTEL SUMMARY● ACTIVE
SITE SCORE4.2/5
ASSESSMENTA · STRONG
PROJ. REVENUE$812K
LIKELY RANGE$625K–$1.06M
COMPETITORS3 IN RANGE
SAMPLE DATA · ILLUSTRATIVE ONLY
Sources:+ Trade areas+ Demographics+ Consumer spending+ Traffic+ Competitors+ Co-tenancy+ Visibility

// Why RE-CON

Most site reports describe a market. Ours predict a store.

01

Sourced from your own network

Every model is built from your locations and what they actually sell. Generic benchmarks don't know your concept. Your stores do.

02

Signal, not noise

Hundreds of market variables are examined. Each one earns its weight by how much it sharpens the forecast. The rest are cut.

03

Verified before it's briefed

Every model is tested against stores it never saw. You see the miss rate and the likely revenue range before a score is issued.

// Method

The intelligence cycle, applied to real estate.

  1. STAGE 01

    DIRECTION

    Define the objective

    Your current locations, their trailing revenue, and what success looks like for your concept.

  2. STAGE 02

    COLLECTION

    Gather the intelligence

    Trade areas sized from where your customers actually come from, profiled with demographics, spending, traffic and competitors.

  3. STAGE 03

    PROCESSING

    Clean and connect

    Addresses verified, trade areas drawn, and hundreds of variables lined up against each store's performance.

  4. STAGE 04

    ANALYSIS

    Separate signal from noise

    Find what truly moves revenue, weight it, and test the model on stores it never saw before anyone relies on it.

  5. STAGE 05

    DISSEMINATION

    Brief the decision

    Your approved model goes live in your portal. Any address returns a 0–5 score, a revenue range and the drivers behind it.

// Counter-intelligence

Data lies. We catch it.

With enough variables, something will always look like it predicts sales. Most of it is coincidence. Our models are built to expose misleading data before it reaches your decision.

Threat

False signals

Variables that only look predictive by chance are caught with randomized testing and thrown out.

Threat

Hidden overlap

Variables that say the same thing twice are merged, so no factor gets counted double.

Threat

Overconfidence

Every projection carries a likely range, checked against real outcomes, so you know how much to trust it.

Threat

Competitor effects

Competition is measured as it really behaves: one rival can educate a market, a crowd saturates it.

// Client platform

Your network. Your model. Your eyes only.

Each client gets a private portal built on their own analysis. Your locations sit on a live map with the intelligence that matters, and any new address can be assessed against your approved model.

  • Secure, compartmented access

    You see your locations, your model and nothing else.

  • Your network on a live map

    Scores, revenue and the key market data for every location.

  • Assess any address

    Site score, projected revenue range and the drivers behind it.

  • Site dossiers

    A clean report for your team, lender or franchisee.

SITE DOSSIER · FILE RC-0915SAMPLE
Assessed
> 1200 Main Street, Anytown, USA

SITE SCORE

3.6/5

ASSESSMENT B · GOOD

PROJECTED REVENUE

$742K

LIKELY $571K – $965K

KEY FINDINGS

Visibility▲ LIFTS
Market already educated▲ LIFTS
Target customer share▲ LIFTS
Competitive saturation▼ DRAGS

ANALYST NOTE: trade area overlaps · see appendix

// Reading an assessment

One number. Plain grades.

Scores run 0 to 5 against your own network: 5.0 matches your strongest store's profile, 0.0 your weakest. Every score comes with a projected revenue range, not just a point estimate.

A

4.0 – 5.0

Strong

B

3.0 – 3.9

Good

C

2.0 – 2.9

Marginal

D

0.0 – 1.9

Weak

// Who we serve

Brands & franchise operators

  • ›Decide where to open next with a model built on your own stores
  • ›Rank a pipeline of sites side by side
  • ›Catch weak sites before the lease is signed
  • ›Back up decisions with franchisees, partners and lenders

Brokers & developers

  • ›Match sites to the tenants most likely to win there
  • ›Bring tenants evidence, not just a flyer
  • ›Show how a center's trade area fits a concept
  • ›Shorten the path from tour to signed deal

// Request a briefing

Send us your locations.
We'll tell you what drives them.

Tell us about your concept and your growth plans. Everything you share stays confidential. We'll walk you through how a RE-CON model would be built for your network.

Opens your email app, addressed to RE-CON. Or write to bfranson@reconinsights.com.