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We jumped onto the ChatGPT bandwagon...

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We’ve jumped onto the ChatGPT bandwagon. (I’m using ChatGPT as a placeholder for all LLMs, so please don’t flame me for not mentioning all the other options!) What did we solve for? This was initiated with a simple problem statement – brands struggle with generating creative for targeted or personalized campaigns. For instance, at the MarTech Summit in Singapore this week, a panel discussion that had Zalora, Citibank and the likes, stated that one of their main challenges to operationalizing personalization is content and creative. Quite unimaginable right – to be in a world where the ML Algorithm has become the “easy part”. Knowing the problem statement well led to a fairly focused solution definition: Help brands use ChatGPT to generate creative for personalized messages. So we built a Prompt Generator with a very focused use case – content for SMS/ WhatsApp/ Email/ Notifications. The SOLUS Prompt Generator It’s at https://prompt.solus.ai | Free and instant Sign Up | in ...
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"What works?" is a difficult Q to answer

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It’s (always) a good time to double down on customer retention.   The trouble is, while the ROI is evidently high, it’s sometimes hard to figure whether you’re doing the best you could. The question that comes up often is – what kinds of campaign mechanics are doing well . What should we do more of? What should we do less of? And this, I’ve often found, is not an easy question to answer. Here’s why:   Fearlessly Try Stuff If you really want to figure what works, you need to have tried a whole lot of things and monitored them for a while. Does reaching out to small sets of customers with targeted messages work better than mass outreach with offers? Can’t say till you’ve tried (no it’s never as straightforward as “Yes, targeted works better!”). Does personalization actually help? Does sending on Friday work better than on Wednesdays? Does a 50% Off work better that BOGO? Many organizations just haven’t tried enough to be able to get good insights so the point is - kee...
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SOLUS Updates - The 4th Pillar, Predictive Scores

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I wanted to share an exciting update with you on SOLUS. But first, some context:   Systems of Intelligence We built SOLUS to be a System of Intelligence. Systems of Intelligence as a concept have been around for a few years now. In our context, they sit between Systems of Record (Data sources) and Systems of Engagement (marketing systems) and do automated decision making and optimization. Or at least assist the decision making and optimization. Given our focus on customer value, we knew the decision making had to revolve around the following: Who do I target (the List) What value proposition do I target them with (The offering or offer) What message/ tonality/ cadence When do I target them What call-to-action or Response devices do I use   Do a good job on these, and the customer retention and engagement world is yours.   The Fourth Pillar In SOLUS we focused on building Recommender and Smart Campaign systems in the early couple of years. The...
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SOLUS Updates - Insights

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28th December 2022 2022 has been an interesting time for folks in tech– and as you well know we’ve pivoted so much to being a tech-first organization that suddenly everything happening in tech impacts us too! We pivoted to being product-first in 2020, and the roller coaster ride that followed is worthy of a small book – or lengthy blog post at the very least. But that’s for another day. Today I’d like to touch upon one of the three main pillars of SOLUS AI – the Intelligence System. For context, the three main systems of SOLUS that work together to create magic are: Recommendations | Smart Campaigns | Intelligence   Intelligence Systems in SOLUS Part of our entire pivot to being product-first meant that we had to go back to our “greatest hits” of analytics work done over the last decade+ and see if we could make them available to clients using SOLUS. But of course, better than before – configurable, always on, far richer. One decision we did take however is to not create a...
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