PageWisr
Find what’s costing you customers, and fix it fast.
Developer Tools·AI & Machine Learning·Analytics·Marketing
About
Your website might look great and still lose customers. PageWisr analyzes your website from multiple perspectives to uncover issues that may be difficult to notice when you’re too close to your own product — from design, UX, copy, messaging, trust, SEO, accessibility, conversion, and the overall experience for a first-time visitor.
Instead of simply pointing out problems, PageWisr explains what’s wrong, why it matters, how it may affect your visitors, and what you should prioritize fixing first. Each recommendation includes clear, actionable guidance and ready-to-use prompts to help you turn insights into actual changes without starting from scratch.
Your first full website scan is completely free, allowing you to understand what may be holding your website back before committing to anything.
Once you start making improvements, PageWisr can automatically monitor your website every week, detecting meaningful changes and newly identified issues so you can keep improving without having to manually review your site every time.
We’re also building a community for founders, indie hackers, and builders where you can share your website score, discover other products, compare improvements, and learn from how others are improving their websites.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
There's a tool called the word of mouth coefficient that lets you quantify offline word of mouth by looking at how many new users you're getting through channels like direct, branded search, or social in a given period. Subtract your returning users plus new users from non-organic channels — and that coefficient tells you how efficiently you're getting new users through word of mouth from your existing base.
Word of mouth coefficient: quantify offline referrals by subtracting all known acquisition channels
NPS measures intent to recommend but can't tell you how many actual new users result. The word-of-mouth coefficient backs into a measurable estimate by treating anything that can't be attributed to known channels as WOM-generated. Carter used this at Quizlet to spot seasonal WOM spikes (back-to-school, exam periods) and COVID-driven country divergences — enabling proactive investment in virality during high-coefficient windows.
Every quarter, every semester we ask a panel of our audience: does Deezer know music, does Deezer understand me, do I feel close to Deezer — and we especially focus on the paid consideration part. What's actually reliable is that we follow the trend.
Track brand health as a directional trend, not an absolute number — quarterly panels
Deezer measures brand health through quarterly quantitative panels that ask users about awareness, affinity, and paid consideration intent. The panels don't produce precise numbers, but they produce reliable directional signals. An upward trend in paid consideration quarter over quarter validates brand investment even when the absolute number is uncertain.
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Comments
1I’ve been building PageWisr for a while now, and honestly, getting it to this point was a journey The idea came from one simple question: “What if someone could just tell me what’s actually wrong w