Screenshot 2024 02 28 at 10.45.43 AM removebg preview

Improved Google Ad Grants performance

A case study 

Our client, a Mental Health therapist in private practice were generating a lot of leads from Google search and display, but only a very small percentage of them were converting to set appointments for therapy or online visits. A lot of the ad dollars and creatives were focused on convincing their target markets to to try online therapy.

Digital Marketing for Nursing Homes

The Challenge​

Our client, a Mental Health therapist in private practice were generating a lot of leads from Google search and display, but only a very small percentage of them were converting to set appointments for therapy or online visits. A lot of the ad dollars and creatives were focused on convincing their target markets to to try online therapy.

The Process

Our client was also trying to make Facebook Ads a profitable and effective customer acquisition channel. But they were seeing high lead costs, poor lead quality and inconsistent results.

Screenshot 2024 02 28 at 10.46.58 AM removebg preview

Year 1 

We turned our engagement  focus to Google Ads. We started with restructuring the account to improve performance.

We first restructured the account on improving relevance between search terms, ads, and landing pages. We did this to create a more personalized experience and reduce the friction that was preventing users from converting. Additionally, we restructured the search ads themselves to make sure we were spending as much money as possible in the markets with the best performance.

We then turned our attention to optimizing ads, landing pages and keywords in the markets with poor performance. Specifically, we found that regional-specific targeting, ads and landing pages drove much better conversion rates and lead quality. We applied these findings to the whole account for big gains.

The next big move? We turned off display ads completely. Why? Because they had a much higher cost per set appointment. Plus, we were losing search impressions due to budget and had plenty of headroom to grow to search without increasing the cost per lead or appointment.

We moved this spend to search ads where cost per set and run appointment was already better and saw an immediate performance improvement.

Finally, we began to filter our leads with a “qualified” lead conversion. We would only send a signal back to the ad platform when the user self-identified as “in-need” (and not when they were a only researching  therapist.)

In Year 2
The client had seen enough business impact from our work on Google Ads that they entrusted us with managing their Facebook Ads as well.

As we did with Google Ads, we set up the Facebook pixel to ensure we were optimizing ONLY for qualified leads. From there, we began to build and target lookalike audiences off of qualified leads that were converting to set and run appointments.

We then restructured and consolidated the account. One of the big shifts in our strategy was to go super granular with the targeting. The campaigns were set up to target zip codes within Solar Energy World’s operating areas, while excluding bordering non-serviceable states also via zip codes.

These changes allowed us to “crack the code” on Facebook Ads for the client. They began to scale spend in their markets, effectively creating a new, profitable stream of paying customers for the business.

On Google, we continued to innovate with a new landing page experience. We tested a multi-step form that asked the user a series of questions to both qualify them and understand their reasons for going solar. This new template converted qualified leads at a significantly higher rate, so we rolled it out across our campaigns for an immediate boost in the top and bottom line.

Year 3 was a year of innovation and optimization on our key channels.

On Facebook, we moved to generating value-based lookalikes. These were audiences based on client highest-value Closed Won opportunities.

We also embarked on a lot of creative testing that paid off. Specifically, we connected with prospects by using things like region / state-specific language in the ads. We also created ads based around affinity interests of our high-converting audiences to create further reach.

On Google, we focused on optimizing our campaigns to improve quality score. This lowered our average cost-per-click significantly across the board, boosting our return on ad spend.  When we further added SEO to the mix, our client received 20%-30% more impressions as we included target keywords in our headlines and landing pages for a major lift in clickthrough and conversion rates.