Sachin Bansal

With CueObserve, you can run anomaly detection on business metric data in your SQL data warehouses and databases. CueObserve currently supports 6 data sources - BigQuery, RedShift, Snowflake, Postgres, MySQL and Druid. CueObserve is open-source (https://github.com/cuebook/CueObserve). Docs are at https://cueobserve.cuebook.ai Do give it a try and let us know. We’d love to hear your thoughts,...

These two push notification formats are inspired by the email subscription/opt-in plugins that are omnipresent in the website world. With Subscription Push, you can offer an One Tap Opt-in process to your anonymous app users. As with any push notification, you can segment and reach out to your users who are more likely to opt in at the right time.

Ecommerce marketers can now send hyper-personalized and automated notifications whenever prices drop on one or more products. Our advanced Personalization Engine does this via a 2-step process: 1. Identify products whose prices have dropped by monitoring product feed for changes. 2. Identify users who have recently interacted with such products. You can send these notifications to anonymous...

I am a Cofounder of QGraph. This is yet another take on push notifications from QGraph, built specifically for ecommerce apps. These new formats enable your users to discover and engage with multiple products without opening your app. As ecommerce app developer, you can showcase multiple products in beautifully designed, interactive push notifications. You can even send Personalized...

Hi, I am a Cofounder of QGraph, a Segment-of-One marketing automation platform. QGraph's strong Segmentation and Personalization engine helps you - Segment users based on their activities on your app/website. E.g. inactive users, category viewers, users interacted with brand X. - Send hyper-personalized content in emails dynamically for each user based on her activities. - Automate the entire...

Hi, I am a Cofounder of QGraph. Happy to take any queries/questions here

I am cofounder of QGraph. Happy to take questions, if any. Meanwhile, you can checkout a live demo at https://demo.qgraph.io/