Made With Intent

Did you know that there are 7 types of purchase abandonment? 🕸 First-Time Bouncers - These customers are in their first session and are likely to abandon without taking any meaningful action 🕸 First-Time Abandoners - These customers are in their first session and are likely to abandon without taking any meaningful action and are unlikely to return 🕸 Abandoning Refiners - Customers in the Refining Stage who are highly likely to abandon 🕸 Abandoning Evaluators - Customers in the Evaluating Stage who are highly likely to abandon their session 🛒 Basket Abandoners - These are deciding customers who have built up a basket and are now showing signs that they’re likely to leave and not return 🛒 Basket Pauser - These customers have built up a basket and are now showing signs that they’re likely to leave and may return 🛒 Last Chancers - Customers who showed signs they *wanted* to convert but are now abandoning the journey and are unlikely to return Abandonment is a huge challenge for ecommerce. We tend to view it in a binary fashion: they purchase, or they don't. And then react tactically to *all* those who didn't purchase, treating them the same. Purchase abandonment is nuanced and contextual. By understanding their intent, you get context for how to intervene or follow-up appropriately (check the framework out for suggestions on what to do for each segment, and plays for how to execute those ideas). That makes for better conversion rates, higher engagement, better discounting margins, optimised retargeting and follow-up. The good stuff. Behaviour and data together really is awesome isn't it?

Is conversion rate really the best measure of success? It is often viewed as the ultimate success metric in ecommerce, but it’s time we rethink that perspective. By focusing on conversion as an isolated event, we miss out on the rich, intricate journey that leads up to it. Customer experience is a complex narrative, not just a single click. To truly understand and improve this journey, we need to look beyond the numbers and capture the full spectrum of customer behaviour. Let’s shift our focus from merely optimising for conversions to genuinely enhancing the entire customer experience. 👀 Want to learn the truth about CRO and why conversion rate isn't enough? Read more here: https://lnkd.in/e6FgfqsT

Have questions about intent in ecommerce? Less than a week 'til we go live, and we're happy to answer them. We’ve been helping retailers use customer intent for over a year now. We model >53 million intent signals a month. We've seen what good looks like. In half an hour, we'll share what we’re seeing straight from the frontline. We'll then open the floor to questions. ✖️ This episode: How leading retailers are using intent to drive incremental revenue. Weds 28th August. 10am BST. A Drop In Intent. Join us below.

If you could wave a magic wand to help you get more from your website (and marketing/CRM campaigns), what would it be? Going back to old adages, you'd probably like to tick off as many of the below as possible: ✅ right message ✅ right person ✅ right time (✅ in as cost efficient a way as possible) And if one tool could help solve for the 2-3 of those, that'd be ace. It's why we were thrilled to have David Mannheim come down to take us through and train us in Made With Intent last week. MWI gives you an understanding of the stage of buying a user is at. Which should inform who the right people to speak to are. And with what message. It should also mean you don't waste money advertising to people who aren't ready to buy, and reduce discount offerings to those who don't need it! We had a really fascinating conversation about the potential to make xC (expected conversion) the overall north star of e-commerce organisations. With a couple of shared clients already, we can't wait to see where this partnership can take us in our mission to help brands get more from their websites. #experimentation #ga4 #analytics

Ecommerce isn’t about pages. Not really. It’s about the stages of your customer’s journey. We all have a tendency to overemphasise product listing and detail pages (PLPs and PDPs). We also take a visit to a PDP as a reason to go for the hard sell, during the session and after it. But reaching a product page doesn’t indicate purchase intent. Not really. It is simply one moment in a much broader journey. By focusing on the customer’s stage or intent, we can: ✖ Know who is ready to buy (or not) ✖ Address actual needs in real time ✖ Tailor engagement more effectively The buying journey is far from linear—it’s a fluid progression that requires a more nuanced approach. If we only focus on isolated pages, we risk losing sight of the customer’s true needs and intentions. Let’s start listening to what our customers are really telling us. 👀 Want to see how you can start thinking in stages, not pages? Check the intent-based segmentation framework in the comments. 

Join us for the puns, stay for the new perspective straight from the frontline of intent in ecommerce. ✖️ 30 mins, casual, useful, beautiful ✖️Wednesday 28th August, 10am ✖️Sharing our most used intent use cases and examples Come for the puns. Stay for the learnings straight from the frontline of eCommerce.

Ecommerce teams are finally able to understand customer intent. This is doc breaks down how. How retailers can now turn visitor signals into actionable segments. How brands can respond to intent in real time, in-session or post-visit. How this data can be added seamlessly to the tech you already use. ✖ Want to dig deeper? Ask us anything about using intent in ecommerce or get a demo: https://lnkd.in/euW273iN

Customer intent should be at the heart of ecommerce. Today, we’re launching something else to make that possible. 🚀 Introducing the Intent Learning Centre Inside, you’ll find a collection of resources to help you rethink how you connect with your customers. To make what you measure more human. To make sure your tactics aren’t just more effective, but more appropriate too. What’s in it for you? ✖ New data and perspectives on intent in ecommerce 📕 Guides to making your own intent-based plays 🎙 Real talk from retail leaders in the SOI podcast It’s already live, with pieces on everything from predictive email capture to intent-based segmentation. Head to our site or check the comments. There's plenty more coming, but tell us what you want to learn about. Let us know—we’re listening. Ecommerce needs this new perspective. And it'll take the people within it (like you) to make it happen.

If I were optimising an eCommerce site in 2024, I would want to understand visitor momentum. Conversion isn't as linear as going through a handful of page templates. Like trading, there are peaks, troughs, ups and downs in behavioural patterns. We capture those patterns and call this "visitor momentum". Visitor momentum is the series of positive or negative behaviours that people exhibit online. If you understand momentum, you can see what someone is doing in real-time and infer what they might do. Meaning? You can intervene in real time. Just like a real sales person. ✖️If someone exhibits a drop in momentum, you might want to intervene, and quick. ✖️If someone exhibits an increase in momentum, capitalise! Adding context around this - where they are on the site, what product they are looking at, whether they’ve been to the site before - will only help you with what to do. This is what a real user’s momentum looks like. See. A conversion is not as simple as “converted” or “didn’t convert”. Looking at conversion, a retrospective action, means that intervention is not possible. 👉 Want to see the momentum of your visitors using our product? Follow Made With Intent on LinkedIn and book a demo here https://lnkd.in/efhAxERD . 🖤

Intent isn’t just about the purchase, it’s about so much more 🖤 We first started our models with xC (expected conversion) - the intent to purchase. We’ve since broadened that to: ✖️xE - expected exit - the intent to exit ✖️xR - expected return - the intent to return back to the site  ✖️xaTB - expected add to bag - the intent to add to bag 🚨…and now introducing xP - expected progression - the intent to progress through buying stages. If a user is browsing, how likely are they to further engage with the site and move to refining, or evaluating? 👉 Want to see how to get actionable context about your users in your CRM platform? Follow Made With Intent on LinkedIn and ask for a demo. 🖤