Sashy

Sashy has conducted an analysis of DoubleTree by Hilton Hotels in London, UK, to highlight successes and identify opportunities for improvement within guest reviews. 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰 11 locations analysed in total, 25,000 reviews taken from Google Maps (can also connect to Google Business Profiles). Key findings from the past 5 years of data (number of comments): - Top positive: - Staff Friendliness (476 positive, 59 negative) - Top negative: - Rooms (+ 417, - 555) - Bathroom (+ 26, - 105) - Size and Comfort (+ 140, - 100) - In-Room Amenities (+ 38, - 78) Looking at Room Bathrooms, we can dive into the specific attributes that are causing guests to leave negative comments: - Cleanliness - Functionality - Size 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧 Now, let's look at the lowest and highest rated locations, Marble Arch (3.7 ★) & Tower of London (4.2 ★) to identify the reason for the differences and if we can learn anything from this. Studies indicate that a 0.5 star difference in rating can correspond to a 5% difference in revenue for a location. For both locations, the most commented on subject is the Rooms Size & Comfort. Here we can see the issue: - Marble Arch (+ 31, - 102), 23% 𝐩𝐨𝐬𝐢𝐭𝐢𝐯𝐞 - Tower of London (+ 298, - 188), 61% 𝐩𝐨𝐬𝐢𝐭𝐢𝐯𝐞 Room Size & Comfort is reviewed significantly worse for Marble Arch and the data shows that it is specifically just the Size that guests review negatively. All data are taken from AI analysis extracting comments from reviews, classifying them and grouping them. Get in touch to identify quantitative trends from customer reviews across all platforms, locations and business types. #AI #CustomerExperience #GoogleReviews

New Google Maps feature allows you to search for places with AI. Useful for businesses listed on Google, short video demo here: https://lnkd.in/eZMewpXp #GoogleMaps #GoogleReviews

Google rating actually doesn't matter for large chains, like McDonald's. Why is that? Because the public are already familiar with them and have a concept of "what you get". However, that doesn't mean that there isn't still valuable information stored within the reviews. We've analysed all 60 x McDonald's locations in South West England after visiting one of the locations. From the analysis, you can that the largest areas requiring improvement, according to customers, are: 1. Food Temperature (1002 negative mentions) 2. Service Speed (886 negative mentions) 3. Service Quality (760 negative mentions) If we look at Food Temperature specifically, we can dive into specific products. The menu item with the most negative feedback for temperature is the McDonald's Fries. Some example comments below: - “fries were close to cold” - “the fries with my meal were cold too” - “Luke warm under-cooked fries” - “Be aware with cold fries , served with nerves .” - “fries were dry and cold” You can now see which aspects of the business require improvement, according to customers. To see analysis of your business for FREE, follow the link in the comment below (works for any type of business). #GoogleReviews #DataAnalysis #CustomerExperience #AI

𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐃𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: We've analysed the online reviews of 10 Tesco Superstores in Buckinghamshire, UK to demonstrate the capabilities of the Sashy platform. From adding the businesses to the platform, the time to generate the analysis was: 9 𝐦𝐢𝐧𝐮𝐭𝐞𝐬 The following categories were analysed: - Groceries - General Merchandise - Clothing - Pharmacy & Health - Tesco Bank - Tesco Mobile - Customer Service - Online Shopping - Deals & Clubcard - Store Experience Within each category, there are multiple sub-categories, e.g. Online Shopping: - Website & App - Home Delivery - Click+Collect - Online Stock By analysing the last 3 years of data, we have found that by far the worst reviewed category for these stores is the Pharmacy, with an average review score of 1.59 ★. Compare that to the average store rating overall of 3.8 ★. Let's look at why this is. You can see for example that a customer from the Aylesbury store is complaining about the wait time for the Pharmacy: - "Waited 20 mins in the pharmacy queue which was not moving at all" Sashy intelligently classifies this as: - Pharmacy & Health, Pharmacy Service, Delay (Category, Sub-category, Attribute) and measures the impact of this specific comment on the overall customer rating of the store as -0.002 ★. We aggregate (add up) all of the rating impacts across all categories and use that to display which aspects of the business require improvement most urgently, according to customers. We can then see that the aspect of the business that is having the largest negative by far is: In-Store Staff Within that category, customers highlight the largest sub-category as the Rudeness of the staff. Here are some example comments taken from the reviews: - “Very rude, unprofessional and uncaring behaviour.” - “Manager Nubla was incredibly rude whilst I was in store on B H Monday.” - “Very poor customer service on the till rude assistant who shouted at me” The business managers or regional manager now have the required information to be able to identify quantitatively the largest areas for improvement. Sashy allows you to rely on numerical data, not just anecdotes or general customer sentiment, such as "Staff rudeness is bad". Across these 10 locations, we identified over 4,000 unique customer insights, including the positive aspects of the business. Sashy has the ability to analyse all 809 Tesco Superstores in the UK to display on a national level the key improvements required by the size of impact. 𝐆𝐞𝐭 𝐢𝐧 𝐭𝐨𝐮𝐜𝐡 𝐚𝐭 𝐭𝐡𝐞 𝐥𝐢𝐧𝐤 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭 𝐛𝐞𝐥𝐨𝐰 to arrange a demonstration and start improving your customer experience today. #Supermarket #CustomerExperience #DataAnalysis

Sashy works in any language, using the power of AI for automatic translations, but it preserves the product names that you input for the analysis. Currently, all reviews are converted to English for display, but in future we can add support for any language. Here, we have a Parisienne bakery, Boulangerie Utopie: https://lnkd.in/ee__yQqi At the link above, you can explore all of their reviews feedback, including which products are well/poorly received and why, and how much that is affecting their Google rating and revenue - Every 1.0 star change in online rating affects revenue by approximately 10% according to a study by Harvard Business School. At the link, you can see that the traditional baguette is very well received, with a ratio of about 5:1 positive to negative feedback, but the pain chocolat is poorly reviewed by customers with a ratio of about 1:5 positive to negative. The reasons for this, according to customers, are its: - Quality - Texture - Freshness - Hardness The comments include: - “Their croissants and pain au chocolat are really not good unfortunately” - “The pain au chocolat was very dry... even though it was the afternoon when I stopped by.” - “I took the croissant and the chocolate bread, they were rocks” Now you can see where to improve the product to increase your rating and sales. For this business, Sashy has identified over €50k of business improvements from their customer feedback. Demo Sashy yourself for free at the link above (no signup required) and then signup (https://sashy.ai/) to see analysis of your business's products & services according to your customers. $29 / month for businesses with 1-3 locations, cancel after the first month if you're not happy. #CustomerExperience #Bakery #GoogleReviews

🚀 𝐖𝐞'𝐫𝐞 𝐥𝐚𝐮𝐧𝐜𝐡𝐢𝐧𝐠 𝐨𝐧 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐇𝐮𝐧𝐭 𝐭𝐨𝐝𝐚𝐲! We've spent several months building the product. We're now excited to share it: an AI-powered platform that turns your Google reviews into a clear, data-backed action plan for improving customer experience. 𝐓𝐡𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐰𝐞'𝐫𝐞 𝐬𝐨𝐥𝐯𝐢𝐧𝐠: Most businesses have reviews data but struggle to extract meaningful insights. What specific issues hurt your ratings most? Which improvements would drive the biggest impact on customer satisfaction? The answers to these questions are usually not clear. 𝐇𝐞𝐫𝐞'𝐬 𝐡𝐨𝐰 𝐒𝐚𝐬𝐡𝐲 𝐡𝐞𝐥𝐩𝐬: ✅ Analyzes thousands of reviews to identify what truly drives customer satisfaction ✅ Provides prioritized improvement actions ranked by customer impact ✅ Tracks trends across all your locations and services in one dashboard ✅ Shows you exactly how rating improvements could impact your revenue 𝐑𝐞𝐚𝐥 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 𝐟𝐫𝐨𝐦 𝐨𝐮𝐫 𝐮𝐬𝐞𝐫𝐬: → Restaurant managers using our insights for menu engineering decisions → SEO agencies showing clients the revenue impact of Google ratings → Multi-location businesses spotting service quality trends before they become problems The best part? Setup takes just 2 minutes. Add your business locations, tell us your products/services, and our AI does the rest. We've already helped businesses across restaurants, retail, wellness services, and more transform how they understand and improve customer experience. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐬𝐞𝐞 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮𝐫 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬 𝐫𝐞𝐚𝐥𝐥𝐲 𝐭𝐡𝐢𝐧𝐤? 👉 Check out our Product Hunt launch and try the live demo: https://lnkd.in/e2CCxXPM We would love your support with an upvote and would be happy to answer any questions about how AI can help decode customer feedback! #ProductHunt #CustomerExperience #AI #BusinessIntelligence #Reviews #StartupLaunch

A lot of people have said that they want to try Sashy before signing up. So, we've now made a FREE demo, no sign-up required: https://sashy.ai/demo The demo includes live, real businesses for many different sectors so that you can see how the platform will work for your business before signing up. We've added: - Restaurant, New York, USA - Bakery, Paris, France - Dental Clinic, London, UK - Pest Control Service, Dubai, UAE - Bar, San Diego, USA - Fast Food Chain (multiple locations), Denver, USA Sashy works with any business that's listed on Google, all business types, any industry. Let us know if you would like to see a specific business type listed as an example, so that you can try the platform yourself for free. 🔧 𝐇𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬 Sashy scrapes your business' Google reviews daily, extracts mentions of your products & services, attributes that customers use to describe them and calculates how much each product and attribute is affecting your Google rating and sales. It then provides prioritised improvement actions based on what customers say about your business, to help you improve customer experience and sales. Join 25+ businesses that are already using Sashy's insights. #CustomerExperience #CX #GoogleMyBusiness #GoogleReviews #Operations

Quick analysis of a Pressure Washing and Window Cleaning service in San Diego, USA. They currently have a 4.9 star Google rating, with 227 reviews. Google doesn't provide precise ratings, however, with Sashy we can see this information. They're currently at a 4.89 star rating and require 274 5-star reviews to get up to a 5.0 rating. Looking at it another way, they need an additional 0.06 stars. They can achieve most of this by fixing the two key areas that are letting them down: - Communication - Pricing It took about 2 minutes to find this information after Sashy had completed the analysis. Leave a comment or DM if you would like to arrange a free demo to see how you can improve your business according to your customers or try it yourself at the link below.

𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 Papa Johns UK We analysed 100 of the 500+ Papa Johns Pizza locations in the UK as a representative case study. Below are the specific actions that the business needs to take to improve customer experience, ordered by highest impact based on analysis of publicly available feedback. We analysed 40,000 data points in total, which means we can confidently identify meaningful trends. Here are the most important improvement actions, weighted based on the average impact on the overall rating (★) across all locations. We have also included the number of customer insights (🗣️) for each action: ▪ Delivery Delay –0.030 ★ (945 🗣️) ▪ Service Quality –0.015 ★ (405 🗣️) ▪ Staff Rudeness –0.010 ★ (272 🗣️) ▪ Customer Service Rudeness –0.008 ★ (299 🗣️) ▪ Customer Service Unresponsiveness –0.007 ★ (228 🗣️) ▪ Customer Service Responsiveness –0.007 ★ (268 🗣️) ▪ Customer Service Quality –0.006 ★ (187 🗣️) ▪ Delivery Failure –0.006 ★ (167 🗣️) ▪ Delivery Temperature –0.006 ★ (198 🗣️) ▪ Delivery Timeliness –0.004 ★ (154 🗣️) 𝐓𝐡𝐞 𝐜𝐥𝐞𝐚𝐫 𝐭𝐫𝐞𝐧𝐝𝐬 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭 𝐭𝐡𝐞 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭 𝐭𝐨 𝐢𝐦𝐩𝐫𝐨𝐯𝐞: 1. 𝐒𝐭𝐚𝐟𝐟 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 - rudeness, responsiveness, and overall quality 2. 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 - delays, failures, and temperature control Based on an annual revenue of approximately £100 million, we estimate that addressing these improvement areas could provide tens to hundreds of thousands of pounds in additional revenue, driven by higher customer satisfaction. Please contact us if you are interested in seeing the full report or are currently working on improving customer experience within your business. Our platform creates improvement actions for any business that has online reviews data.