Arpit Choudhury’s Post

Choosing *education* over *confusion* – a winning strategy for enterprise SaaS? I recently concluded a 5-part series titled "Data-powered Messaging for True Personalization" in collaboration with the excellent folks at Piwik PRO. I must say I had a great time working on this series because it enabled me to write about so many things I often thought about and believed in but didn't get a chance (read motivation) to write/talk about. 🥁 🥁 Here's what the series covers: Part 1: Fundamentals of Data-powered Messaging Part 2: How to Set Up Data-powered Onboarding Emails Part 3: How to Set Up Data-powered Push Notifications with Persona-Based Personalization Part 4: How to Use Data-powered In-app Experiences for Personalized User Onboarding Part 5: How to Understand Audience Preferences to Improve Engagement and Build Better Relationships And because our goal was to make this series as *accessible* and *useful* as possible, each written guide is accompanied by a short video for folks who prefer watching over reading. 🥁 🥁 What's more? Even though the series is sponsored by Piwik PRO, the brand name hasn't been mentioned even *once* in the body of the contents (besides in the screenshot captions). And for that, I have huge respect for the Piwik PRO team for choosing "education over confusion" to build awareness about their new product offering. I'm convinced that this is THE winning strategy for enterprise SaaS. 👍 And competing on features and pricing while confusing the buyer is, well, a definitive race to the bottom. 👎 WDYT? (You can find the link to the series below).

Last chance to join Michele Nieberding 🚀 in today's jam sesh starting in 20 minutes. DM her if you'd like to join!

It's been 15 months since I hosted the CDP Rapid Fire where some fine folks joined me and Glenn to discuss the ongoing CDP battle (between the Composable and Packaged camps). While the dust has settled, I recently heard from Michele that the battle isn't quite over. Well, last year I decided to take a step back from following the industry chatter to work on my book and think about the future of databeats. So I asked Michelle if she would like to take up this topic in the upcoming jam session. Of course, she said yes and here we are! 🥁 Join Michele tomorrow at 9 am PT (12 pm ET, 4 pm GMT) to jam on it. (DM her for the Zoom link).

How do you navigate a career in data with all the hype and the information overload? How do you identify the breadth and depth of skills to acquire and master? How much time to invest in learning? How do you grow in your current role? How do you prevent yourself from going around in circles like a dog chasing its tail? Debadyuti has all the answers in this post! Happy Friday!

AI AI AI AI AI AI AI AI. STFU!

What are the benefits of complementing behavioral data with preference data? What are the consequences of ignoring it? And what tools are used to collect preference data or zero-party data? Those are the questions I answer in the final part of this series. I’d also like to thank our partner, Piwik PRO for sponsoring this awesome series – I had an absolute blast working on it. I’m so glad that the good folks at Piwik PRO chose *education* over *confusion* to win customers! 🥁🥁 Here’s the link to the full series: https://lnkd.in/gdZExrkh #data #personalization

What does the future of software look like? Well, I found an excellent piece by Maggie Appleton that aligns with my thoughts – I highly recommend checking it out! https://lnkd.in/gqtsJqtW #semitechnical

What does the role of the first GTM hire look like these days? In 2018, when I joined Integromat as the first go-to-market hire, my primary responsibility was to build awareness about the product and acquire users organically (as a bootstrapped company with a product that had a steep learning curve, we stayed away from paid acquisition). I spent most of my time answering product questions in our user community, creating tutorials, sending newsletters, updating our support docs, and running co-marketing initiatives with our technology partners – essentially, a combination of product and marketing activities. This was before I became the Head of Growth and led the implementation of our data infra (which got me so deep in data that I haven't managed to come out of it). For companies without a dedicated Product or Marketing/Growth team, what are you looking for in your first GTM hire?

The 5-part series on 🔥 burning questions 🔥 is now live! Part 1: Burning Questions: An Introduction Part 2: What data is needed?  Part 3: Where Does the Data Originate? Internal Sources Explained Part 4: Where Does the Data Originate? External Sources Explained Part 5: Where will the data be consumed? Take a look and remember, if you have more burning questions, I have answers! 🥁 🥁

Here’s a hot take:      First-party data is important. However, personalizing experiences based on a user’s past actions and transactions doesn’t always work. Why? Because people’s needs and preferences are changing at a rapid pace. What I liked yesterday I might despise today, and vice versa. Browsing a product or buying it once is a poor indication of me wanting more of that product. Clicking on a notification or opening an email doesn’t necessarily indicate interest – I might do it out of curiosity, boredom, or even by mistake. So what else is needed? Preference data or zero-party data, collected continuously from users to capture their changing preferences. In my latest guide – the final part of the 5-part series produced in collaboration with Piwik PRO – I cover some use cases depicting the benefits of complementing first-party data with zero-party data and the consequences of ignoring preference data (link in comments).