Infinity Launches New AI-Powered Campaign Optimisation Tool
Global call analytics platform, Infinity, released a new AI-powered tool with the potential to improve conversion rates by 300%.
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Global call and speech analytics platform Infinity has added a new optimisation tool, Smart Outcomes, to their suite.
This latest release will help marketing teams in call-centric businesses use offline call conversion data to improve the performance of paid media activities.
Highstreet giant, and advocates of Infinity, Specsavers, say Infinity’s AI-powered tools have played a pivotal role in creating more value through paid media with phone call data. Within three months of using the tools in the suite, Specsavers were able to achieve a 32% reduction in cost-per-acquisition.
“By using phone call data to highlight key areas of improvement, we’ve been able to adapt our paid media strategy to save money and drive-up conversions.” said Rachael Harker, Digital Performance Manager at Specsavers.
Infinity Chief Solutions Officer, Daniel Wilkinson, said about the potential of Smart Outcomes, “Our testing shows that integrating call outcome data with paid media campaigns has a significant impact on performance. By leveraging this type of data we’ve seen a 300% uplift in sales enquiries and a 21% rise in average order values from PPC activity.”
“Over the last decade, we’ve built strong relationships with digital marketing teams by helping them overcome attribution challenges and impact the metrics that matter most. I’m looking forward to seeing the AI-powered tools we’re adding to our suite strengthen those relationships. Ultimately, our aim/objective is to help our users automatically optimise for the outcomes they care about so they can maximise returns and claw back some much-needed time.”
“Understanding what leads to high-value phone call interactions has always been a critical step for marketers who want to fully optimise their paid media activities, but taming large data sets and acting on insight fast has always been a challenge. Using AI to remove this barrier will enable many more marketers to take this step and improve performance without the need for dedicated data science resources.”