Craig McNeile’s Post

Very interesting read on consumer habit and data analysis.

Heard at #ONEOutSystems: From off-the-shelf to custom-built, learn how Carrefour is using #lowcode to meet customer and business demands and accomplish more with the same budget. https://bit.ly/3YkJ5Nd

After reading the peak playbook from Aus Post, there were two data points and some key insights that stood out to me. 1. 76% of customers check a return policy prior to purchasing 2. 37% of online shoppers choose to purchase from one site over another based on the quality of the return options. Returns are integral to the online shopping experience and have a big impact on both the acquisition and retention of customers. Below are a few ways to improve your returns policy heading into peak. ⏲️ Consider extending return times so gifts that aren't opened straight away can still be returned ☑️ Simplify the process either by automation or by keeping the return rate flat or free 📨 Mention your policy either at the checkout or via email to make it easy for your customer to find it 🏃♀️ Ensure to refund your customers quickly. Either by optimising your process or by offering instant refunds Always interested to hear / see what retailers do heading into peak to optimise profit.

𝗘𝘃𝗲𝗿 𝘄𝗼𝗻𝗱𝗲𝗿𝗲𝗱 𝘄𝗵𝘆 𝗽𝗲𝗼𝗽𝗹𝗲 𝗮𝗱𝗱 𝘁𝗵𝗶𝗻𝗴𝘀 𝘁𝗼 𝘁𝗵𝗲𝗶𝗿 𝗰𝗮𝗿𝘁 𝗯𝘂𝘁 𝗻𝗲𝘃𝗲𝗿 𝗯𝘂𝘆 𝘁𝗵𝗲𝗺? Amazon's secret weapon, the Customer Loyalty Analytics dashboard, reveals who left their carts full last week! This "Cart Abandoners" data is gold for crafting winning advertising strategies. 𝗪𝗵𝘆 𝗶𝘀 𝘁𝗵𝗶𝘀 𝗶𝗻𝗳𝗼 𝘀𝗼 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲? 🔹 Knowing why people ditch their carts helps you target ads to win them back. 🔹 You can address their concerns and convince them to hit that "buy" button! --------------------------------------------------------- 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗺𝗮𝗸𝗲 𝘀𝘂𝗿𝗲 𝗬𝗢𝗨𝗥 𝗮𝗱𝘀 𝗮𝗿𝗲𝗻'𝘁 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝗮𝗯𝗮𝗻𝗱𝗼𝗻𝗲𝗱? White Snow Ads can analyze your campaigns and pinpoint areas for improvement!

In the face of costly returns, a “keep it” returns policy can benefit retailers and shoppers alike, but it also poses risks. Learn more in this Chain Store Age article written by Fin Bauer, Director of Data Science and Growth, Appriss Retail. Read more: https://hubs.ly/Q02v14tT0

Inferences on Stock Codes: Product Variety: The dataset contains 3684 unique stock codes, indicating a substantial variety of products available in the online retail store. This diversity can potentially lead to the identification of distinct customer clusters, with preferences for different types of products. Popular Items: A closer look at the top 10 most frequent stock codes can offer insights into the popular products or categories that are frequently purchased by customers. Stock Code Anomalies: We observe that while most stock codes are composed of 5 or 6 characters, there are some anomalies like the code 'POST'. These anomalies might represent services or non-product transactions (perhaps postage fees) rather than actual products. To maintain the focus of the project, which is clustering based on product purchases and creating a recommendation system, these anomalies should be further investigated and possibly treated appropriately to ensure data integrity.

I learned today that one of the Walmart supplier community’s OG Data Whiz Kids has some bandwidth and is looking to take on a new client or 2. Are you a small supplier in need of actionable insights? Need help with line review planning or buyer meeting prep? She’s got a great big suite of pre-built reports, and is ready to hit the ground RUNNING. Please message me for an introduction!

Boost your eCommerce strategy with Walmart Product Data Extraction! 🛒 Our Walmart Product Listing Scraping service from DataCleaningServices.com provides you with essential product information, including pricing, descriptions, reviews, and more, directly from Walmart. Whether you're looking to stay competitive in the market, analyze trends, or optimize product listings on your platform, this service gives you the data needed for informed decision-making and effective marketing. Gain a competitive edge by leveraging accurate, real-time Walmart data for your business growth! For more information, visit: https://lnkd.in/dQt85PMj   📧 Email: info@datacleaningservices.com  #walmartproductdatascraping #walmartproductlistingextraction #ecommercedatascraping #productpricedataextraction #marketcompetitiveness #dataforgrowth #datacleaningservices

Lost in a maze of disjointed data? 🤔 Our blog is your map to navigating the challenges of fragmented data and unlocking the treasure trove of customer insights within your online ordering solution. Get ready to see your customers in a whole new light with natively integrated PAR MENU ordering and PAR Punchh loyalty! 💡 https://ow.ly/eGRO50SbRWY #OnlineOrdering #Loyalty #FoodTech

Want to win this holiday season? Don’t keep Buy Now, Pay Later options a secret. A study of 5,248 U.S. consumers shows merchants who highlight BNPL at checkout can boost sales. Dive into PYMNTS and Splitit's latest report for the full story. https://hubs.ly/Q02Z2pxK0