How can you write more effective product descriptions using feedback?

I use customer feedback to improve product descriptions (on and offline) using the following categories: - Language - how do they describe the product/benefits and features? Do we use those words? Are they part of our brand voice? - Tone - are we speaking to the customers they way they speak? Are we aware of the emotions we evoke and how that impacts on the language they use? - Depth - how much info do they want? What is most important? Get the right stuff at the top and sell those features first!

Good companies use their words to sell.? Great companies use their customer words to sell The best companies are ditching their marketing jargon and tuning in to what their customers are actually saying. Their secret sauce: customer language.? Incorporating testimonials, customer reviews, and even social media chatter into your messaging turns your brand into a relatable, authentic voice.? People trust other people, not corporate scripts.?

Feedback from customers is like real time pro's and con's of the product. Feedback enables you to know how people talk about the product. In which tone they talk about it and which language it is used in. All of this info goes into product description which gives the product more reach and scalability.

First of all, Effective should translate to valuable, whereby a "perceptive" value is that which represents the consumer of that value, gathered through feedback. Unconventionally, services must produced by reversing the conventional method of customer management, where providers' perception of customer needs dominate the produced value. Instead, gather the accurate customer behavioral data from multiple channels of feedback including social media and review portals. When done well, this enables the creation of a number of customer buckets with multiple characteristics that can be applied thru various scenarios. This allows for very personalised services with real-world feedback, likes & dislikes, with the help of GenAI and NLP models.

This is one of the most effective ways to have persuasive product descriptions that speak to the customer level, as the source is from the customers themselves. Having a good review process is relevant to achieving the goal of incorporating feedback from customers in our copy.

This is totally true as referral strategy and word-of-mouth marketing work, especially when we want to grow the customer base. Getting insights from the right people or our peers can add to creating a more converting copy (e.g. product descriptions).

Get out of your head and enter into the heads of your customers, employees, and partners. Ask them how they would describe your product or service. Then, use their words in your marketing. That's it. Clean and simple.

Most companies ask experts. The best ones ask their clients. One of the most underrated aspects of marketing is gathering client feedback on their perception of your company. I'm not saying that consulting with experts isn't valuable; it certainly is, especially for early-stage startups that may not yet have clients. However, even at an early stage, you can conduct user interviews with individuals who fit your Ideal Customer Profile, and this can be incredibly valuable. I know a founder who didn't write a single line of code until he had spoken with 300 potential clients. It's important to engage with experts, as there are some phenomenal ones out there, but ultimately, relying on your audience's insights is the most enlightening.

Data is gold, right? Wrong. Contextual data is gold. I have a client with a SaaS app available on Shopify, App Store, and Google Play. Here’s what we discovered. The monthly new user counts on their platform: → App Store - 41 → Shopify - 11 → ???????????? ???????? - ???? Looks good, right? But let's dig deeper. The number of installs: → App Store - 79 → Shopify - 19 → Google Play - 1549 We discovered that ???????? ???? ?????????? ???????? ???????????? ???????? ???????????????? ???????????????? ???? ????????????????????. That’s a huge bottleneck in user retention. This isn’t just data. This is a revelation, unveiling actionable insights and guiding strategic decisions.

With the advent of Generative AI, it is now possible to enhance product descriptions that completely commincate your target segments, under the leadership of the customer. This was not possible traditionally because only structured (producer-side) data were captured in typical analyses. Now, with the ability to use unstructured (consumer-side) data, customer decision making layer enters into business analyses, communicating the most accurate attributes customers assign to products, which in turn allows for accurate representation of their needs and thereby produce very relevant product descriptions. Web SEO searches do have merit, yet they're very limited to producers' perception of what a good product description ought to look like.

Keep your eye on generative AI tools. Yeah, they’re overhyped in a lot of ways, but there are many ways to use them effectively if you know how to ask the right questions. They can, at the very least, check your work.

Combine the three powers that fuel Customer Leadership when looking to produce superior product descriptions: - Public customer feedback - In-house performance (tabular) data - Top search engine keywords Ultimately, a convolutional neural network analysis of the three domains of above data would produce the most accurate product descriptions imagined, very relevant to segmented customers.

Certainly! Here are some concise steps for writing more effective product descriptions using feedback: 1. Collect feedback from customers, reviews, and comments. 2. Identify areas for improvement based on common themes or suggestions. 3. Address customer pain points by highlighting how your product solves them. 4. Improve clarity and specificity by providing detailed dimensions, materials, and features. 5. Enhance storytelling by incorporating customer anecdotes or experiences. By utilizing feedback, you can create more compelling product descriptions that resonate with your audience.

Make Improvements Based on the Feedback With the major themes identified, you can now start making improvements. Here are some ways to turn that feedback into enhanced product descriptions: Add more details that address customers' unanswered questions based on the feedback. But keep it scannable with short paragraphs, bullet points, etc. Focus on the benefits the product provides customers rather than just its features. Link features to relevant benefits whenever possible. Update any outdated or incorrect info. Double-check details like shipping times, sizes, materials, etc. Include more visuals like photos, videos, charts, etc. if customers ask for them. Appeals to visual buyers. Preserve positives.

In the build up and release of a product the descriptions can move beyond the basic features and benefit language using the 'ooh-ahhs' from partners, press and analysts. Before you have buying customers, invite and consume all the interesting and compelling points during demos and pitches. The most important thing to remember is that you are not objective, and your 'isn't my baby the best' bias can derail your GTM momentum if the description focuses too much on internal product designer preferences. Remember: you're not the customer. After it's in the market: incent customer service and sales to share reactions and prioritize converting those 'ooh-ahhs' into content and copy.