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Jack Bartlett 🐙
Jack of all trades, master of none...
Jack Bartlett is the Founder of Multilinear, based on the information provided in his LinkedIn profile. His LinkedIn username is jackbbartlett, as specified in the query.1
Jack describes his background as a "mixed bag," with experience in various areas including:
- Corporate marketing
- Startups
- Building businesses across different industries for six years
He mentions that while some of his business ventures were successful, most did not work out.1 This diverse experience likely contributes to his current role as a founder.
It's worth noting that Jack's profile is on the Australian version of LinkedIn (au.linkedin.com), which suggests he may be based in or have connections to Australia.1
The octopus emoji (🐙) included in the query doesn't appear to have any specific significance mentioned in the available search results, so it might be a personal touch or preference in how Jack represents himself online.
Highlights
Ever wish you could predict what your customers really want? The Secret...
...might just lie in your social media comments.
Your customers are literally telling you exactly what you're doing right and wrong every single day.
Whilst many brands glance over their comments, they do so sporadically, missing out on valuable insights by not adopting a systematic approach.
You should be automatically collecting real-time comments from ALL channels (organic and paid) to better understand how people perceive your brand.
Yet very few do.
Why does this matter? Let's dive deeper:
Comprehensive Insights ↳ Merging all comments paints a complete picture of your audience's wants and needs, beyond random feedback.
Strategic Direction ↳ These insights fuel not just immediate adjustments but can inform long-term creative direction, product development, and marketing strategies.
Sentiment Tracking: ↳ Our analysis reveals a direct link between comment sentiment and overall performance. A real-time sentiment metric adds a critical layer of insight, potentially enhancing your marketing effectiveness.
Having a system for analysing your comments shifts your strategy from reactive to proactive.
Enabling you to not only meet but anticipate customer needs.
This not only drives innovation and deeper connection but allows you to do so with greater confidence.
If you’re not doing this well right now, we can teach you how to pull this data in real-time, and extract insights and sentiment.
Send me a DM, and I'm happy to see if we can help.
You're probably analysing Meta ad performance wrong.
Most rank ads linearly, from best to worst. By metrics like hook rate, hold rate, CPA.
But here’s why that falls short:
-
Ads aren't standalone. They work as a team. Analysing them in isolation is missing the forest for the trees.
-
Linear comparisons can't fully capture the nuanced interplay between different performance metrics.
-
Meta’s algorithm dynamics are such that early performance signals drive ad spend, but don't always predict the long-term success of an ad.
The solution?
→ Creative aggregation.
Instead of looking at individual winning ads, look at them cumulatively to identify winning ‘themes’.
By focusing on creative themes rather than creatives, you uncover patterns that speak to the core of what engages and converts.
This offers a richer understanding of creative dynamics.
But it’s not without its challenges.
Doing this well requires someone manually tagging ads by themes, or grouping similar creatives into themed campaigns.
We have a better way.
We’ve developed a tool that can automatically extract the creative themes of each ad across things like emotional tone, content style, narrative pacing, and more.
It offers speed + clarity where complexity and nuance often cloud creative decision making.
Interested in exploring how creative aggregation can enhance your creative strategy?
Let's chat.
