Case Study: Google Search Update Recovery – Google Medic Update
By Eric Maas on 18 July, 2020
At the end of September 2018 Fuelist Digital took on a small e-commerce client who sold medical related products. They had been directly and negatively affected by the Google Medic Search update that was rolled out in the first week of August 2018. The client had a number of theories as to what had caused them to get caught in the Google update, as they were a legitimate provider selling a common medical device, and had the licensing and facility to produce the device. Within 12 months Fuelist Digital had restored sales to their previous positions, without any backlinking efforts, AdWords purchases, and disavowing under 100 URLs. The efforts were done with onsite SEO practices, business strategy, UI/UX improvements, coding improvements, and a hosting move. The Damage: 75% traffic drop 60% revenue drop
At the end of September 2018 Fuelist Digital took on a small e-commerce client who sold medical related products. They had been directly and negatively affected by the Google Medic Search update that was rolled out in the first week of August 2018. The client had a number of theories as to what had caused them to get caught in the Google update, as they were a legitimate provider selling a common medical device, and had the licensing and facility to produce the device. Within 12 months Fuelist Digital had restored sales to their previous positions, without any backlinking efforts, AdWords purchases, and disavowing under 100 URLs. The efforts were done with onsite SEO practices, business strategy, UI/UX improvements, coding improvements, and a hosting move. The Damage: 75% traffic drop 60% revenue drop
Complications with diagnostics:
Upon diagnosis, the site was found to not have a proper installation of Google Analytics for e-commerce. Traffic was being captured, but sales and conversions were not. This left big holes in our ability to figure out what pages were converting sales and what pages were not. This left us in a position where assumptions had to be made based on traffic to pages and sales. Needless to say conversion rates were low.Initial Diagnosis
- Sites page loads were in excess of 12 seconds per page, and in some extreme cases upwards of 20 seconds.
- Content cannibalization
- Confusing Checkout Process
- Lack of Structured Data
- High page bounce rate (most likely due to page speed)
- Mobile UI/UX issues
- Mobile site errors
- Inconsistent pricing structure
- Broken code
- Broken Analytics/Metrics Tracking
- Improper search console setup
- Broken Sitemap
- Incomplete Robots.txt file
- Missing Search Console profiles