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7 Comments

Built a Automated Landing Page Optimisation tool that increased conversions by 15%

So, one key thing I have learned over the many years I have been doing indie hacking is that landing pages are one of the most important aspects of your business. They are the very thing that your potential users interact with first and therefore the impression they give is crucial to securing customers.

One tool in your arsenal is to try different copy and variations of a landing page to see what communicates the intended message that you want to convey in order to secure a user. The problem is that takes time and money, often a luxury that we don't have.

To solve this, I teamed up with two other co founders to build Splitsense(https://splitsense.ai). Splitsense is an automated, conversion optimisation tool that is designed to help you increase your conversion rates and bolster your revenue automatically, while you sleep.

It works by simply installing a code snippet onto your website. Once done, you get web analytics for free and, more importantly, completely automated optimisation where our platform runs experiments, tests and analyses your data to figure out what to test next. All Automatically. No work on your part.

We have used it on a few different websites now. Including my own website, Devremote, and the average conversion rate we see is 15% . For example, Devremote's sign ups increased by 15% when using Splitsense.

Now, we want to help you so we are currently offering a free membership to anyone who wants to sign up and use it in exchange for feedback.

The link is here: https://splitsense.ai

Comment or DM me on twitter @degreelessdev and we can get you started.

Also, if you want the team and I to review your landing page for free, believe me, we have looked at way too many, then comment and one of us will review your website for you.

posted to Icon for group Landing Page Feedback
Landing Page Feedback
on March 22, 2026
  1. 1

    Automated A/B testing is the ultimate 'force multiplier' for a solo founder. Most of us leave money on the table because we don't have the discipline to run clean experiments manually. That 15% lift on Devremote is exactly the kind of 'proof of work' that cuts through the noise.

    Since you're looking for feedback and more data points for Splitsense, you should bring the tool into the Validation Arena (tokyolore.com).

    $19 to enter, 30 days to optimize your way to the top of the leaderboard.
    $0 pool right now, and the winner gets a Tokyo trip! 🏆

  2. 1

    Interesting tool. A few observations on the landing page itself, since you're selling conversion optimization:

    Your headline says "Turn Your Landing Page Into a Revenue Machine Without Lifting A Finger." It's benefit-oriented, which is good, but "revenue machine" is vague. Every optimization tool promises more revenue. The specificity that would make someone stop scrolling is already in your post: "increased conversions by 15%." That's concrete. The headline isn't.

    A stronger version: "Your landing page is leaving money on the table. Splitsense finds the words that convert, automatically."

    The other thing: your social proof says "Loved by 100+ customers" with ratings from Google (4.6), Trustpilot (4.9), and G2 (4.3). For a product launched recently, those numbers feel premature and the IH comments already picked up on credibility gaps with the 15% claim. One real case study with specific before/after numbers is worth more than three review platform badges. You have the Devremote case (49% over 3 months), that's strong. Lead with it instead of burying it below the fold.

    Also, your primary CTA says "Optimise My Website & Make My Revenue" with a rocket emoji. It's trying too hard. "Start a free test" tells me exactly what happens when I click and lowers the commitment.

  3. 1

    Nice build — biggest trust unlock now is proving the “15%” with one concrete case card.

    Format that usually converts:

    • baseline CVR + traffic window
    • variant change shipped
    • resulting CVR lift + confidence
    • one “when this fails” guardrail

    That removes the “is this noise?” objection fast.

    If helpful, I can do a paid teardown of the page + experiment narrative (what to keep / cut before you scale traffic):
    https://roastmysite.io/go.php?src=ih_splitsense_caseproof_close_20260330_0848

  4. 1

    Love this wedge. One thing that would make the 15% lift much more persuasive: show a tiny evidence block for one test (baseline CVR, sample size, duration, winner variant, and confidence). Even a single screenshot/table will do more for trust than extra feature copy.

    I’d also add one “guardrail” line about false positives (e.g., min sample threshold before declaring winners), because founders worry about noise more than tooling.

    If useful, I can do a paid teardown focused on experiment quality + conversion flow:
    https://roastmysite.io/go.php?src=ih_splitsense_free_membership_feedback_20260328_usd_presell_hv

  5. 1

    Automated A/B testing is a genuinely useful category — the manual version is one of those things everyone knows they should do and almost nobody actually does consistently because it requires discipline to run clean experiments over enough time to get significance.
    Honest question on the 15% figure: is that a conversion rate lift (e.g. 3% → 3.45%) or a 15 percentage point increase in absolute signups? The distinction matters a lot for how credible the claim reads to someone evaluating the tool. If it's the former, being specific about the baseline would make the number land harder.
    The free tier in exchange for feedback is the right move at this stage. One thing worth thinking about: the feedback you'll get from IH founders optimising landing pages is different from the feedback you'd get from a KMU business owner who has never run an A/B test in their life. Both are useful, but they'll surface completely different friction points in your onboarding.

  6. 1

    15% conversion lift from automated optimization is a strong number. most landing page changes are guesswork — people change colors and fonts and hope for the best. automated testing that actually measures the impact is where the real gains are. we see something similar with our SEO audit tool — the automated analysis catches things that manual review misses every time, especially the small stuff that compounds (missing alt tags, slow third-party scripts, redirect chains). what was the single biggest factor in that 15% lift? usually its one or two changes doing most of the heavy lifting and the rest is noise.

  7. 1

    What was the baseline conversion rate before the 15% lift? Going from 0.5% to 0.575% is a very different story than going from 8% to 9.2%. Also curious about sample size — in my experience running tests on store landing pages, you need way more traffic than people think before calling a winner.

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