Rob Van Den Bergh (@bob_bergh) profile picture

Automating written reports for marketing agencies so they can do the fun bits of being a marketer instead...

United Kingdom
Joined July 2022
Photo by Rob Van Den Bergh (@bob_bergh)Photo by Rob Van Den Bergh (@bob_bergh)Photo by Rob Van Den Bergh (@bob_bergh)Photo by Rob Van Den Bergh (@bob_bergh)Photo by Rob Van Den Bergh (@bob_bergh)Photo by Rob Van Den Bergh (@bob_bergh)Photo by Rob Van Den Bergh (@bob_bergh)Photo by Rob Van Den Bergh (@bob_bergh)Photo by Rob Van Den Bergh (@bob_bergh)Photo by Rob Van Den Bergh (@bob_bergh)
Rob Van Den Bergh retweeted
My preferred definition of "ARR" is your single-highest grossing minute of the year, times 525,600
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Rob Van Den Bergh retweeted
Replying to @rjvir
Evolution of ARR: 1. Subscription revenue for the last 12 months 2. ⁠Projected subscription revenue for the next 12 months 3. ⁠Multiply your best month by 12 4. ⁠Multiply your best week by 52 5. ⁠Give out huge discounts but still count it as full revenue, do #4 or #5 to arrive at the final ARR, whichever is the highest. Celebrate like you did #1
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Late to the party, but a masterclass
this video is single handedly the best video to learn copywriting
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Read an interesting Reddit thread this week on the evolution of the BI analyst role - it's not getting any easier for them, even with all the BI tools on offer. Feels like it's time the role evolved from data 'firefighting' to more insight enablement and governance. A thread ⬇️
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4/5 Here’s where AI can actually help. The idea isn’t to replace BI analysts but to automate repetitive tasks so they can focus on real insights. With natural language tools, non-tech teams could answer their own questions, and turn BI from a bottleneck to an enabler.
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5/5 The evolution of the BI role should prioritise high-impact work: spotting growth trends, focusing on data quality, and empowering teams to self-serve. #Data team's impact will exponentially increase as a result of the shift too.
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“I can't answer this” is Fluent’s most popular response. In our early days, we lost a 9-month deal in 15 minutes, after a senior stakeholder got a few wrong answers. Now, Fluent flags missing info so admins can intervene. Sometimes, “no” is the smartest answer AI can give.
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An early iteration of Fluent's AI. When asked to explain a visualisation for basic exercise data, it began dishing out blunt lifestyle advice like a jaded gym instructor. Lesson learned. LLMs need guardrails—or they run wild.
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3 biggest mistakes/lessons building Fluent: Undervaluing control: Early models lacked constraints. Now we’re ‘metric-first’ for consistency. Targeting everyone: Segmenting our audience helped us improve. Over-engineering: Focus on core functionality > unnecessary features.
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2 yrs ago, we posted a demo of a super-flaky Fluent prototype on Reddit—no real plan, just a shot in the dark. The post exploded, and we had 20k+ join our waitlist - I was stunned by the response. I'm yet to go viral on Reddit since then - anyone found any similar hacks?
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Philosophical questions to ponder: - Is SQL popular because it's been around forever or because it's easy/intuitive? - Many have tried to replace SQL with other constructs and failed, why?
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Rob Van Den Bergh retweeted
Excited to see Fluent announce their $7.5m raise today and proud to have backed them at @joinef since the beginning. Great team working on a painful and important problem👇
Proud to today announce the Fluent investment raise of $7.5M to make business data accessible to everyone, not just those that know SQL. Whether it is a question about a particular client, a new feature launched or the financial performance of a division, with Fluent you can ask data questions directly and get insights instantly. Thanks to @TechCrunch and @mikebutcher for covering our raise.
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Proud to today announce the Fluent investment raise of $7.5M to make business data accessible to everyone, not just those that know SQL. Whether it is a question about a particular client, a new feature launched or the financial performance of a division, with Fluent you can ask data questions directly and get insights instantly. Thanks to @TechCrunch and @mikebutcher for covering our raise.
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