Optimizing Conversion Efficiency for We Love No Code
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We analyzed the ad account and sat down with our design team to fix the overall UX and UI of our landing pages. We took the experience that WeLoveNoCode had into consideration for launching new Google Ad campaigns.
We created a list of extensive keywords from the campaign. This list was separate for current customers, competitors, information, non-converting keywords, and other domains.
The next step was the launch of a campaign with display ads to retarget people who visited our website but didn't convert in the past 60 days. We leveraged the machine learning feature from Google Ads AI to automate bidding strategies. This practice helped us increase the booked demo rate by 241% in 45 days! Further, the overall cost per MQL was reduced to 37%.
Our goal was to become the financial stewards of the advertising budget. We used next-generation tools and intelligence to allocate resources to the most effective platforms. The team wanted to achieve cost efficiency, ensuring the implementation of frequent campaign performance data reviews. and budget-shifting towards performance ads to scale down poor performers.
This dynamic reassignment not only saved money but also increased the effectiveness of every campaign, leading to a superior ROI that surpassed We Love No Code’s initial expectations.
The quality of leads is the base for success in any campaign. Our focus was to pull high-intent prospects by blending demographic and psychographic targeting, advanced retargeting, and personalized ad encounters.
This strategy guaranteed lead generation with pre-conversion leading to significant growth for ‘We Love No Code’ in terms of qualifying leads, efficient sales process, and a sustainable path towards business development.
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