Case Study
Travel brand gains visibility to customer generated images at scale.

A 2,000 location international travel chain  needed to view the media included with reviews to better understand the context of shared feedback.

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Results
The new process successfully paired an average of 1,600 monthly public images with their associated reviews, enhancing the client’s understanding of their customers feedback. This functionality was then extended to all LocalClarity clients, providing a context for reviews across the board.
Case Study
National bakery chain achieves perfect listing synchronization with zero  IT effort.

A rapidly growing brand struggled to continuously update their regular and special holiday hours on Google maps and search.

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Case Study
Building a New Roadmap for Increased Store Success.

A software platform supporting restaurant chains needed a streamlined way to track local listing robustness across thousands of unique locations.

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Results
Over the course of two months, the average Health Score of the test cohort increased from 42 to 64. (While some individual locations scores moved all the way into the 90s, some locations weren’t able to provide new media assets or faced a score challenges based on negative reviews.) The next step was to analyze the impressions and actions recorded for the text versus control groups. By the end of month 5 (two months to improve scores and three months to see effects) we saw an increase in impressions of 12% and an increase in actions of 10% compared to the control holdout.
Case Study
Retailer saves 4,500 hours a year with Intelligent Auto Response.

A large retail chain struggled to respond to an overwhelming volume of customer reviews. The brand recognized the value of direct engagement, but the team couldn't manage the post-COVID volume.

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Results
LocalClarity's Intelligent Auto Response tool enabled the retail chain to save over 40% of the time and resources previously required to manage their customer reviews. By automatically responding to over 500 "rating-only" reviews daily, the customer service team could focus their efforts on addressing complex reviews that required a personal touch. Additionally, the business observed an increase in overall customer satisfaction and engagement.
Case Study
Google Local Guide identification

Given the outsized impact of the reviews and images supplied by Google Local Guides, a retailer wanted to track these contributions across numerous locations - functionality not supported by Google.

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Results
The unique workflow automatically tagged 16% of this client's reviews with associated Local Guide rankings, helping them to better understand how high-priority reviews were influencing customer perceptions across their locations. Critically, they discovered that Local Guide reviews were, on average, more lengthy and slightly less positive. The automated process delivered greater visibility into review trends and sentiments, driving several store operational changes.
Case Study
Agency achieves 500% increase in response team capacity.

Facing a surge in holiday reviews, a reputation management agency needed a more efficient system for supporting hand-crafted responses at scale.

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Results
By the end of the first month using the new Explore! workflow, the agency documented a 600% increase in the daily number of review responses sent by each representative. An analysis of these responses revealed that they were, on average, longer and more unique than those generated by previous processes. This enabled the agency to handle the surge in volume profitably while also enhancing client satisfaction.
Case Study
Restaurants receive one million additional calls annually with LocalClarity.

A large collective of independent restaurants was looking to immediately increase phone calls for delivery orders from their local search presence.

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Solution
Working with the LocalClarity team, they established streamlined workflows to boost local map rankings and enhance customer engagement by strategically and systematically responding to both positive and negative Google reviews.

This approach triggered a positive signal to Google, directly enhanced map and search rankings, and improved listing conversion rate by engaging with customers.
Case Study
AI Doubles Team Review Management Capacity

A large restaurant chain was growing rapidly and along with the growth came a significant increase in the number of customer reviews received.

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Results
The new workflow allowed the team to answer 105% more reviews per session compared to their prior, template driven processes. After a few edits to the custom brand details (background and tone-of-voice), the initial response suggestions we accepted without edits the majority of the time, helping the team achieve previously impossible levels of efficiency without sacrificing quality.
Case Study
Building a New Roadmap for Increased Store Success.

A software platform supporting restaurant chains needed a streamlined way to track local listing robustness across thousands of unique locations.

View details
Results
Over the course of two months, the average Health Score of the test cohort increased from 42 to 64. (While some individual locations scores moved all the way into the 90s, some locations weren’t able to provide new media assets or faced a score challenges based on negative reviews.) The next step was to analyze the impressions and actions recorded for the text versus control groups. By the end of month 5 (two months to improve scores and three months to see effects) we saw an increase in impressions of 12% and an increase in actions of 10% compared to the control holdout.
Case Study
Innovative Waze Listing Validation.

Waze regularly accepts public updates for hours and phone number changes. To make matters worse, it lacks an API for large organizations to directly manage their information.

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Solution
Given the lack of direct API controls from Waze, the LocalClarity team crafted a process to automatically identify the URL of each Waze listing and then index the details of each listing. The data points were then incorporated directly into the parent location records to make it straightforward to identify contact details that needed to be updated to correctly reflect the clinic details.