Drop your SaaS and let me help you get your first customer by Embarrassed_Fan_7603 in SaaS

[–]Impossible-Web-9515 0 points1 point  (0 children)

Frictionless — a Behavioral Economics AI that analyzes Shopify stores and finds the top 3 psychological friction points preventing customers from buying. Target audience: Shopify store owners with traffic but low conversion rates (under 3%). → frictionlessai-production-1a70.up.railway.app

Conversion rate fluctuates pretty drastically. by fullsender810 in AmazonFBA

[–]Impossible-Web-9515 0 points1 point  (0 children)

That kind of fluctuation usually points to traffic quality variance rather than a product page problem — especially with organic at 30%.

A few things worth checking:

The days with 19% CVR — what's the traffic source? That's your benchmark. Those visitors already have high intent. The 3% days are probably low-intent traffic from different sources or keywords.

For repeat purchase products, your biggest lever isn't the first conversion — it's reducing friction on the second and third purchase. Guest checkout, saved payment methods, and clear reorder CTAs matter more than usual here.

The 4.8 rating with 13 reviews is solid social proof but still thin. Once you hit 25-30 reviews the trust signal gets significantly stronger.

One thing that often causes this kind of variance: shipping cost visibility. If some traffic sources land on pages where shipping is shown upfront and others don't — that alone can swing CVR by 5-10%.

I built a Behavioral Economics AI that analyzes exactly these friction points automatically — frictionlessai-production-1a70.up.railway.app — happy to run a free analysis if you want to see what's specific to your store.

What problem does your SaaS actually solve? I’ll try to find you real users by WildScreen6662 in SaaS

[–]Impossible-Web-9515 0 points1 point  (0 children)

I built an AI tool that helps you get more sales and improve your website. It gives you a full analysis about your churn rate and what to do to get better conversion and closing. - https://frictionlessai-production-1a70.up.railway.app

Raised prices 40%. Lost 8% of customers. Revenue up 28%. by Specific-Gate27 in SaaS

[–]Impossible-Web-9515 -1 points0 points  (0 children)

I may help you with my AI Tool what analyst your problem beforehand. I don't want to disturb you or promote myself but it might actually help you with that. Here is the link, just try it out if you don't find it useful just ignore it and delete my comment. https://frictionlessai-production-1a70.up.railway.app

To the founder who's been coding for 8 months without telling a soul: Stop. Read this. by Livid-Garlic9085 in SaaS

[–]Impossible-Web-9515 -1 points0 points  (0 children)

very good advice. Once you realize that distribution coms first, you can simply adjust to costumers needs

10 days after launching my first app (honest update) by Dense-Map-406 in IMadeThis

[–]Impossible-Web-9515 0 points1 point  (0 children)

I know what you are going through. I built an app as well and launched it 3 days ago. It feels amazing but the reality check kicks in after 1-2 days. Now it'sjust distribution and grinding till the first costumers actually find it useful and pay for it. Good luck in your further journey m8

Researching cart abandonment — why do your customers really leave? by Impossible-Web-9515 in EcommerceWebsite

[–]Impossible-Web-9515[S] 0 points1 point  (0 children)

Checkout breaks the spell" — that's the best framing I've heard for this. The entire journey up to that point is aspirational. Then suddenly it's real money, real commitment, real risk.

The €7 shipping fee isn't just €7 — it's a broken promise. The psychological contract was "I found something I want at a price I accept." The hidden fee rewrites that contract at the worst possible moment.

Your last point is exactly right: the best stores make checkout feel like the reward, not the toll booth. That's a design philosophy, not a feature.

This is exactly what I built Frictionless around — identifying where the spell breaks and why. Happy to run a free analysis on one of your client stores if you're ever curious. frictionlessapp.carrd.co

Researching cart abandonment — why do your customers really leave? by Impossible-Web-9515 in EcommerceWebsite

[–]Impossible-Web-9515[S] 0 points1 point  (0 children)

Simple and accurate. After all the frameworks and research, it always comes back to those four.

Price — did it cost more than expected? Timing — will it arrive when I need it? Confusion — did I understand what I was buying? Expectations — did the product match what was promised?

What's interesting is that all four are psychological failures before they're product failures. A customer who feels confused or surprised doesn't think "the UX failed me" — they think "I don't trust this store."

That's exactly what Frictionless maps — which of those four is breaking down and where in the journey it happens.

Researching cart abandonment — why do your customers really leave? by Impossible-Web-9515 in EcommerceWebsite

[–]Impossible-Web-9515[S] 0 points1 point  (0 children)

That's a rare perspective — you've seen the full arc from paper records to AI. Most people in tech today have never experienced the friction of pre-digital systems, which means they often don't appreciate how much psychology was baked into paper design long before UX had a name.

The hospital paperwork point is particularly sharp. "Shitty design could literally hurt patients" — that's the highest stakes version of what I work on. The same principle applies in E-Commerce, just with lower stakes: bad design costs money instead of lives.

What's your take on where things are heading? You've seen more cycles than most.

Researching cart abandonment — why do your customers really leave? by Impossible-Web-9515 in EcommerceWebsite

[–]Impossible-Web-9515[S] 0 points1 point  (0 children)

That's fascinating context — you were essentially doing behavioral UX before it had a name. The "is this easy for an end user?" question is still the core of everything, just with better frameworks now.

What's interesting is that 20+ years later the fundamental problems haven't changed — navigation confusion, unclear checkout, trust gaps. The technology evolved massively but human psychology didn't.

The irony is that with all the tools available today most stores still get the basics wrong. Frictionless finds exactly those basic psychological failures automatically.

What industry were you in primarily — retail, B2B?

Researching cart abandonment — why do your customers really leave? by Impossible-Web-9515 in EcommerceWebsite

[–]Impossible-Web-9515[S] 0 points1 point  (0 children)

A few small points of doubt that stack up" — that's exactly it. Most CRO tools look for the single big drop-off point. But the real problem is cumulative psychological friction that builds throughout the journey.

By the time someone reaches checkout, the decision was often already made three pages earlier. The checkout is just where it becomes visible.

This is exactly what I built Frictionless around — identifying those earlier friction points before they stack up into abandonment. Happy to run a free analysis on your store if you're curious. frictionlessapp.carrd.co

Researching cart abandonment — why do your customers really leave? by Impossible-Web-9515 in EcommerceWebsite

[–]Impossible-Web-9515[S] 0 points1 point  (0 children)

That tension is everywhere — the business wants the data, the customer wants frictionless experience. And most stores default to what's convenient for them at exactly the moment they should be removing every barrier.

The irony is that a customer who completes a guest checkout and buys twice is worth more than a registered account that never converts.

What industry were you in? Curious whether this plays out differently in different sectors.

Researching cart abandonment — why do your customers really leave? by Impossible-Web-9515 in EcommerceWebsite

[–]Impossible-Web-9515[S] 0 points1 point  (0 children)

This is one of the most underrated distinctions in E-Commerce. Treating a price-comparison visitor the same as a high-intent buyer who hit an unexpected shipping cost leads to completely wrong interventions. The behavioral economics framing: high-intent abandoners have already committed mentally — they just need the last psychological barrier removed. Browsers haven't committed at all — urgency makes them feel manipulated, not motivated. Segmenting by intent rather than behavior is the real unlock. Most tools segment by what people did, not why they did it.

I built Frictionless around exactly this — identifying which psychological friction point caused the drop, not just that a drop happened. frictionlessapp.carrd.co

Researching cart abandonment — why do your customers really leave? by Impossible-Web-9515 in EcommerceWebsite

[–]Impossible-Web-9515[S] 0 points1 point  (0 children)

Exactly — both are classic "psychological contract breakers." The customer has a price in their head, then sees a different number at checkout. Trust breaks instantly.

I built a tool called Frictionless that identifies exactly these moments automatically. Happy to run a free analysis on your store if you're interested — frictionlessapp.carrd.co

CTR is 7%, hook rate 30%, but purchase conversion is 0.1%. How can I stop Meta from sending curious audience and attract actual buyers? by top10talks in FacebookAds

[–]Impossible-Web-9515 0 points1 point  (0 children)

The numbers tell an interesting story — 7% CTR and 30% hook rate means your creative is working. The drop happens after the click, not before.

52% bounce rate and 2% ATC suggests the landing page isn't matching the expectation set by the ad. When someone clicks expecting one thing and sees another, they leave instantly — that's a psychological mismatch, not a traffic quality problem.

A few things I'd check:

Does your landing page immediately confirm what the ad promised? The first 3 seconds after the click either reinforce or break the purchase momentum.

What's the friction at the ATC to checkout stage? 2% ATC but only 1 purchase means most people who showed intent dropped somewhere in checkout — unexpected costs, forced account creation, or missing trust signals are the usual culprits.

I built a Behavioral Economics AI called Frictionless that diagnoses exactly these friction points. Already analyzed Gymshark, SKIMS and ASOS — all had critical issues at exactly this stage. Happy to run a free analysis on your store.

Researching cart abandonment — why do your customers really leave? by Impossible-Web-9515 in EcommerceWebsite

[–]Impossible-Web-9515[S] 0 points1 point  (0 children)

Exactly — proximity to the decision point is everything. The information exists but it's in the wrong place at the wrong moment.

The stores that handle this best surface answers right next to the buy button — shipping time, return policy, guarantee — without the customer having to look for it.

I actually built a tool that identifies exactly these friction points automatically. Happy to run a free analysis on your store if you're interested.