Hi, I'd like to know your opinion on the upcoming feature: AI-powered review generation for customers who submit a review. Here's my take on it. First of all, I love this app and I have immense respect and gratitude for the tech team who provide all these fantastic updates, making the app better every day. However, reducing the mental load on people who don't know what to write might seem like a good idea, but it does have some drawbacks. 1) The authenticity of a review: Here's what I think: whether positive or negative, it's what allows us to evaluate the services or purchases offered. AI will never be able to accurately describe someone's experience at a restaurant, while renting a property, or buying a product online because it can't put itself in the customer's shoes. Even if the review seems acceptable, it will inevitably lack authenticity. Personally, I wouldn't want to receive AI-generated reviews, even if they're all positive, because they don't accurately describe the customer's experience. So I think it could significantly reduce our conversion rate. I've never used AI to generate reviews for this reason, even though I use it for a lot of other things. 2) End users might be reluctant to leave a review they didn't write and feel manipulated. So it could have the opposite effect; B2C users are much less comfortable with AI, or even resistant to its use, depending on their age group. 3) AI analysis within the application is an excellent idea and works wonderfully. But if the reviews aren't descriptive enough, they'll come across as superficial. That's not how our customers feel. 4) From a list of 67 competitors managing reputation or reviews that I found during my research. 45 have AI and primarily use it to respond to reviews, but what's most surprising is that none of them have a function to generate reviews from the end customer. One might think this is a good thing, but it's no coincidence… 5) But most importantly, after doing some research online and reading the answers I found, Google states: “We don’t allow reviews primarily generated by an automated program or artificial intelligence application.” Google prohibits content “not based on real experiences” and reviews that are instigated or manipulated, and uses AI to detect fraudulent review patterns. If reviews are too generic and don’t provide sufficient description, Google might deduce that they are spam.

I would like to share a reflection regarding the Reputation Analysis tool, starting with a very clear premise: the work done by the Climbo team is truly impressive. The tool is powerful, well structured, and has enormous potential as both a commercial and consultative asset. Precisely because I strongly believe in the value of this instrument, I feel it is important to highlight a point that, in my real-world usage, has generated some concerns. I recently used the report with a potential client who had: - 4.7 average rating - 170+ total reviews - A highly positive distribution Despite this strong overall profile, the report placed significant emphasis on the few negative reviews present, providing corrective recommendations for issues that were statistically minimal and not recurrent. The outcome? The client perceived the report as “built to find a problem,” even when no structurally significant issue actually existed. This can create two unintended effects: 1. Reduced credibility of the tool 2. A perception of an overly sales-driven approach Today’s market is extremely sensitive to these nuances. For a reputational report to be truly authoritative, it should clearly distinguish between: - Statistical noise - Recurring patterns - Structural critical issues In other words, the tone of the report should adapt to objective data. If a business holds a 4.7 rating with 170+ reviews and only a very small percentage of non-recurring negative feedback, the narrative should focus on leveraging and scaling reputation, not on correcting presumed problems. For this reason, I would like to ask Giacomo and the Climbo team whether it would be possible to allow operators the option to customize or adapt the prompt behind the report. Even introducing: - Statistical significance thresholds - Conditional tone logic - The ability to choose between a “certification-oriented” or “corrective” analytical approach I believe this would make the tool even more powerful — and above all, more credible.

Hey 👋🏾 this is a very nice update but only a few vote. What do you think ? Can we make it rise ? :) https://produktly.com/roadmap/produktly/a49d8df2-301b-4541-bbbc-7917aa1e7621?t=roadmap&roadmapItemId=5147

Hi Climbers, We’ve received several comments and tickets about the new coupon feature and how you currently work with both free plans and Stripe plans. Here’s the current situation that can feel limiting: Right now, coupons created via the platform apply to all plans. So if a client uses a coupon on a Bronze plan and later upgrades to Silver, the discount automatically transitions to the new plan as well. Customers can apply a coupon when signing up through a payment link. However, for existing customers, you cannot directly apply a coupon from the client’s billing portal unless you trigger a subscription update (like upgrading/downgrading the plan or changing quantity). Only in that case does the “apply coupon” field appear. Also, you cannot directly move a paid (Stripe) client to one of your free plans. To do this, you currently need to delete the subscription, recreate the client manually under a free plan, redo onboarding, reconnect integrations, and regenerate links. Essentially, the client starts from zero. Here’s how we want to improve this: First, when creating a coupon, you will be able to select exactly which plans it applies to (for example, only Bronze). If a client on Bronze with an active coupon upgrades to Silver, the discount will not automatically transition unless that plan is explicitly included in the coupon configuration. Second, via the Stripe API, it is possible to apply a coupon directly to an existing subscription without modifying the plan. We will add an “Apply Coupon” button inside the Clients area. This will allow you to manually apply a coupon to an active subscription without forcing an upgrade, downgrade, or quantity change. Coupons will support one-time discounts or forever discounts — and with the new logic, they can remain tied only to the client's plan. Third, we want to introduce a simple “Move to Free Plan” button in the Clients area. This will allow you to move a paid client (in trial or active subscription) to a free plan without rebuilding the account. Integrations, links, and settings will remain intact. This opens up cleaner flows for trial expirations and freemium strategies.