
Matt Laybourn
@matt_laybourn
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Building @rockee_io - the content feedback platform in public ๐ค๐ป Next goal is ยฃ1k MRR. I'm also a dog dad and damnnnn proud of it ๐ถ
London, England
Joined December 2021
Hey! ๐๐ป I wanted to create a new echo chamber on Twitter to focus on #startup #SaaS and #contentmarketing based on my new project @Rockee_io. So, I need some help. Who is good to follow in those spaces? Hit me up with your top follows in the comments ๐๐ป
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Our latest episode of The MOI Podcast features special guest @matt_Laybourn, Founder of @Rockee to talk all things Content Marketing. Check out the full podcast here๐ https://t.co/S9zknbpdrw Head over to our YouTube channel here๐ https://t.co/TNvXqe5o0J
youtube.com
MOI is the worldโs leading global multi-specialist B2B agency, with offices in London, New York, Dubai, Singaporeโฏand Sydney.โฏ We combine our divergent thinking methodology (Turning Headsโข) with...
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#contentanalysis made easy! Combine audience feedback with #ga4 and & see what resonates best with your audience! https://t.co/FpEM2FINhg
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What other tricks and tactics do you use to understand whether your content met reader intent? #helpfulcontent #googlesearch #searchintent #seotips
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A quick, simple feedback loop is vital to answer; have we answered your question? And if not, what could we have done better? Simple data, but vital to staying relevant on SERP. (6/7)
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The problem is, some of these metrics are false indicators of success. At some point they might wonder why this article slips in ranking, as it's simply not meeting the intent of the reader. This is exactly why we built @Rockee_io (5/7)
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2. Content teams need better data. Yes, on one hand I bet this article gets high traffic volume, and good ranking - perhaps even a half decent engagement rate as searchers look for the answer to their question. But something is missing. (4/7)
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There's two sides to this coin: 1. The algorithm is in perpetual refinement, and I don't doubt most results will answer my question - just not this one. #Google will get it right at some point. (3/7)
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It's frustrating but I bet that organisation would like to know why users drop off their content... I was looking for list of how other businesses use the AIDA model for some inspiration I landed on a generic explainer article instead - with no examples (2/7)
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๐๐ผ๐ ๐ฐ๐ฎ๐ป ๐๐ผ๐ ๐ฏ๐ฒ ๐ฐ๐ฒ๐ฟ๐๐ฎ๐ถ๐ป ๐๐ต๐ฎ๐ ๐๐ผ๐๐ฟ ๐ฐ๐ผ๐ป๐๐ฒ๐ป๐ ๐๐ฎ๐๐ถ๐๐ณ๐ถ๐ฒ๐ ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐ถ๐ป๐๐ฒ๐ป๐? My first search of my day - and one of the top results on Google didn't meet what I was looking for. (๐งต1/5)
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Our solution - @Rockee_io feedback widgets: - Get insights on who your audience are - How they rate your content and feedback - Blend with GA4 data to spot best/worst performers - Use above insights to inform tone, positioning and context for optimisation What is your process?
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In nearly every conversation with #contentmarketers, I see the same problems: - Unsure which content resonates most - Not enough data on who is reading their content - Use multiple platforms to try and analyse their content - Optimisation becomes 'guesswork' (1/2)
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We're building all the time. The natural next step could be to include Search Console data to get a view on how well your content served query intent. I'd love your feedback #contentmarketing people! What do you think?
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In a world where Google continues to push the #helpfulcontentupdate - leverage this data to get ahead, and craft content that solves problems for your users. What's next for Rockee?
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With @Rockee_io , seamlessly integrate GA4 data with user content ratings and feedback, all in one view. Better yet - armed with user feedback - you'll uncover why some content excels and how you can improve your worst performers.
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Over the last year, we've demonstrated that identifying top performing content can easily be done with user ratings and feedback from simple on-site widgets. Now, we're taking it a step further - bringing all the key data together in one house ๐ก
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Most of us end up admitting it becomes 'guesswork' as to why some content performs better than others ๐คทโโ๏ธ Here's the exciting part... ๐
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On average marketers spend at least 1 day a month reviewing GA4 & SEO data to review content performance, juggling 3 or 4 platforms and with the roll-out of #GA4 it's got even trickier ๐
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Have you ever found yourself drowning in #Analytics data, desperately trying to figure out why some content performs better than others? You are not alone.
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We just made #contentoptimization EFFORTLESS! ๐ I'm super proud of what we've just built in @Rockee_io Customer insight and feedback and #ga4 data all in once view. A short story on how we got here.... ๐งต
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Is anyone finding the 'Engagement rate' metric in #ga4 useful? Seems to be nearly every page has engagement of 80%+, and I know my website isn't that good. Seems such an empty, unactionable metric. #googleanalytics #Analytics
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