The Click-to-chat ad analytics recently launched by Infobip will provide a holistic view of the entire customer journey, from ad engagement to conversion and will empower businesses with essential behavioural data.

According to Ben Lewis, Vice-President of Marketing and Growth at Infobip, marketing specialists across all sectors can now effortlessly combine advertising via Meta channels and messaging conversations to set up powerful campaigns, tap into advanced analytics and elevate their ROAS to new levels.

“Infobip can provide all the tools needed for tracking conversions – whether for abandoned carts or post-purchase behaviour – within one platform. Our Click-to-chat ad analytics solution brings this data together without extra client effort, allowing seamless lead generation in WhatsApp,” he said.

The Click-to-chat ad analytics will help brands and marketing professionals who seek to harness the power of social media advertising and messaging in one platform. It will also aid marketing professionals in gaining deeper insights into customer behaviour, integrating advertising and messaging analytics, and make data-driven campaign improvements.

Research from Infobip shows the rapid growth of customer interactions on chat apps such as WhatsApp and social media channels such as Instagram, including a 73% increase in WhatsApp interactions in 2022 compared to 2021. However, businesses and brands looking to integrate advertising efforts across Facebook, Instagram, and WhatsApp must ensure they can optimize campaigns.

The solution can be utilized through all Infobip cloud Software as a Service (SaaS) applications, including Answers – Chatbot building platform – to set up a chatbot that will handle queries,  Conversations – Cloud contact center solution – to transfer the chat to an agent if the queries get too complicated for the bot to handle, People – Customer data platform – will take care of storing all collected data, and Moments – customer engagement platform – will help you tackle the customers through marketing broadcasts based on collected analytics.



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