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Customer connects monthly
Events handled monthly
Emails sent monthly
SMSes sent monthly
GoAir’s ROI soared to the skies with 8X growth Using Actionable Analytics to Re-engage the Customer
SBI Mutual Fund Improved Online Sales by 54% using Cross-channel Marketing Automation
Our aim is to provide an affordable and simple mode of commute to everyone by focusing on user's safety and instant availability of bikes at
By switching to Netcore's Smartech, our user engagement went up 1.5x and unique open rates by over 2x. We also achieved 95% Primary Inboxing in Gmail while unique click rates doubled in just 6 months. Our moment of delight was when a recent email campaign (with a user base of millions) fetched us an open rate of 25% & CTR of 7% which is unheard of in email marketing.
Smartech's actionable analytics, advanced segmentation, and multi-channel marketing automation helped us increase our campaign revenues by 2.5X. The ML-powered automated and personalised engagement strategies also helped us boost lead generation by 2X on Smartech, reducing customer acquisition costs by 50%. Smartech Push Amplification solved our biggest problem: low rates of push Notification delivery. Our Push Notification delivery rate went up by 44% and CTRs by 63%
Smartech's AI-based email delivery and expert consulting helped PhonePe to increase user engagements by 2X and overall inbox deliverability by 95%. Their expert consultancy and insights helped us improve our design and ad copies for better user experience.
Sent Time Optimisation as a ML feature on Smartech has given us an uplift of 20 -25 % in open rates, which led to increased clicks, resulting in increased lead generation. This enabled us to reach out to the customer at the most optimal time for a customer.
At Smartech, we devised a strategy beginning with the integration of the customer data from the brand’s Customer Relationship Management software (CRM), web, app, and customer analytics. It helped arrive at a unified view of the customer. Web and app integrations tracked the browsing pattern of the user while additional data points were obtained from the CRM as updated by the brand’s customer support team after interactions with the customers.