
Reputation management strategies tailored to residential window treatments operations.
Automatically request feedback right after in-home measurements, when homeowners note the initial ‘custom fit’ and material choices. ReviewCrusher times requests to capture positive sentiment before install day, converting satisfaction at measurement into verified local reviews that improve booking confidence.
Send a targeted review request after installer sign-off that encourages phrases like “installation was seamless” and highlights high-quality materials and installer credentials. Satisfied customers are routed to Google or Yelp so you gain public proof of consistent installations and craftsmanship.

Detect negative themes such as poor fit, delayed installation, or unresponsive customer service and route those customers to private feedback forms. Your team gets alerts for callbacks, free adjustments, or expedited service to resolve issues before they hit public review sites, protecting ratings and reducing disputes.



Transform installation and consultation feedback into a predictable source of local reviews and repeat work.
After an in-home measurement, ReviewCrusher sends a friendly review request that highlights the installer and ‘custom fit’ promise while sentiment is high.
Once installation is complete, customers receive a prompt encouraging phrases like “installation was seamless” and directing satisfied homeowners to Google or Yelp.
Unhappy customers hit a private feedback form instead of public sites; issues like poor fit or delayed installation are flagged for immediate callbacks or free adjustments.
Track review volume, star ratings, and negative-theme alerts across neighborhoods to monitor installer performance, reduce public complaints, and measure repeat-project lift.
Consistent, timely review collection strengthens local trust, reduces public complaints, and increases referral and repeat project opportunities for residential window treatment businesses.
Join local window covering installers using ReviewCrusher to automate post-measurement and post-install reviews and drive more repeat projects.