Medical Clinic

Retail Case Study

Improving Patient Traffic With Local Market Precision

A DFW clinic operator needed stronger patient growth and clearer guidance on where marketing dollars would produce the highest return.

The legacy approach leaned on broad regional targeting and delivered uneven performance across service areas.

Vado applied local patient-lookalike analysis and campaign testing to identify which neighborhoods could generate the strongest incremental impact.

Past Customer Activity

Past Customer Activity

345% - 465%

Increase in new patient activity by location

83% - 86%

New-patient volume from recommended zones

Higher ROI

Result from localized campaign structure

Executive Summary

The project confirmed that local market targeting significantly outperformed a one-size-fits-all regional plan.

By tying spend to proven local opportunities, the client improved efficiency and gained a repeatable expansion model.

The Challenge

The clinic needed a measurable strategy that could raise patient volume without expanding spend into low-quality regions.

  • Regional media coverage diluted local opportunity focus.
  • Patient acquisition performance varied widely by neighborhood.
  • Leadership required evidence before shifting budget strategy.

The Approach

  1. Local Patient Fit Analysis

    First-party activity was combined with market context to identify high-probability patient pockets.

  2. Targeted Deployment

    Campaigns were launched by local zone with messaging tuned to neighborhood-level characteristics.

  3. Measured Validation

    Performance was reviewed against baseline behavior to confirm incremental lift and optimize spend.

Recommended Target

Recommended Target

The Solution

The clinic shifted from broad regional execution to focused local targeting supported by continuous measurement.

Allocation decisions were then tied to validated local performance rather than generalized assumptions.

The Outcome

The localized strategy generated substantial patient growth and informed a more efficient operating model for future campaigns.

345% to 465% increase in new patient activity

Locations saw significant lift once campaigns focused on local opportunity zones.

83% to 86% of new patients came from targeted areas

Most incremental growth came directly from recommended markets.

Client moved toward localized campaign strategy

Regional spend was reduced in favor of higher-efficiency local activation.

Key Takeaways

  • Local precision is a major driver of healthcare acquisition performance.
  • Regional averages can hide meaningful market-level opportunity.
  • Incrementality testing improves confidence in budget reallocation.
  • Data-backed localization supports scalable growth planning.

Frequently Asked Questions

Is this approach only for large clinic networks?

No. The same local opportunity model can be used by single clinics and small groups.

What data inputs are most important?

First-party patient behavior and local market context are the core inputs for effective scoring.

How quickly can campaign lift be identified?

Leading indicators often appear early when campaigns are localized and measured against baseline.