PushAlert: AI Model Driven Marketing Automation with Emphasis on User Privacy

PushAlert: AI Model Driven Marketing Automation with Emphasis on User Privacy

CIO Vendor The marketing automation industry is expected to grow from $5.2 billion in 2022 to $9.5 billion by 2027, at a CAGR of 12.8 percent. The pandemic has boosted adoption of marketing tech solutions across industry verticals as the users have turned to marketing automation options for feasible means of expansion and cost competitiveness. However, data privacy is a major cause of user’s distress as most of the marketing tech services involve third party data providers risking user’s information to various unsecured platforms. In a world of rapid technological transformation, marketing automation needs to tend towards creating a simplified, secure, and data-driven interface in order to build a less complex E-commerce ecosystem.

PushAlert has brought in a userengagement and retention SaaS platform to deliver an easy-to-navigate marketing automation service. With web push notification and on-site messaging, their services can be availed for both desktop and mobile devices. Traditional ways of marketing are more likely to focus on getting as many users as possible to the client website with very little idea about the next steps to bolster consumer retention. This is where PushAlert has put in innovation to design a data-driven remarketing strategy based on analytics of behavioural data to boost campaign performance. In order to build a more privacy focused architecture, they employ first party data collection by deploying an in-house analytics team, and is aiming at creating a more sustainable digital economy with owned audience marketing.

Cutting Edge Services & Technology
PushAlert has been developing their own AI engine that tracks user’s behaviour on the client’s website. Being a technology and data driven marketing automation provider, PushAlert informs their consumers about the time when maximum number of users are engaged on their website based on the behavioural data or AB testing. The consumers send push notifications thereafter to the users to acquire maximum conversions. Right after delivering the analytics on subscribers’ behaviours, they make the data accessible from both their analytics team and the customer’s dashboard.
PushAlert’s marketing support extends from setting up website for the client to provide assistance in increasing their RoI, and sales to creating campaigns. They successfully converted 1000 customers within the first six months of inception in 2017. Now, they have around 20,000 customers across 100 countries. Abhinav Pathak, Co-Founder and CEO of PushAlert adds, “The customers should now start seeing their role in a more privacy focused web as well. They should invest in tech companies that focus on privacy. So, this will be the first thing that customers need to do in the future with regulations such as GDPR, CCPA, and several others around the world. We are going to see a lot more focus on user privacy and user’s choice as well. So, privacy concern should be the priority moving forward”.


Talking about PushAlert’s expansion in the digital marketing domain, Mohit Kuldeep, Co-founder and CTO added, “We currently have two channelsone is web push notifications, and the other is on-site messaging. With On-site Messaging, we help our customers bridge the gap between re-marketing and user-engagement.


PushAlert has brought in a user engagement and retention SaaS platform to deliver an easy-to-navigate marketing automation service

These channels are going to be expanded further to including App Notifications on Android & iOS, Email Marketing, SMS, WhatsApp, and Facebook Messenger. With all these different channels, it would be a complete omni-channel marketing platform going to thrive in the coming years. It will be the SaaS interface where everything would work with a data-driven privacy focused approach, rather than simply getting users to the client’s website”.