Discovery with intent
Highlight recommendations, filters and search to boost engagement exactly when your visitors need them.
30%more feature engagement
Ecommerce teams usually provide all the discovery tools visitors need, then leave them to it. From search to filters and recommendations.
Because of this passive approach, these tools are often missed or see low engagement. They dont help as many visitors along on their purchase journey as they could.
Made With 窪蹋勛圖厙 pays attention to each visitor then surfaces the discovery tools or products they need, when they need them.
By highlighting or tweaking your recommendations, search and filters to real-time needs, it drives engagement at the optimal moments.
*Compared to a generic discovery experience.
4 ways to optimise
your product discovery with 窪蹋勛圖厙
The onsite impact of intent
Add intent to your Product Discovery (and more)
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FAQs (or things you may be thinking)
Made With 窪蹋勛圖厙 is designed to be complementary to supercharge your existing tech stack, it doesnt sit in isolation. As a customer segmentation platform, this means our metrics and segments can automatically feed into your existing ways of working seamlessly.
We believe that intent is fundamental to how you sell, because it aligns with how people really buy. This is therefore less a platform to manage, and more an opportunity to find overlooked value and target it. This is why we call it Moneyball for eCommerce.
Resource is always limited in this game. The difference here is that Made With 窪蹋勛圖厙 is a game changer. We know thats what all the new tools say在ut look what our customers say. Just above, right on this page.
The reason most ecommerce brands dont focus on customer intent today is not just because it required teams of data scientists (til now), but because were entrenched in ways of working. The thing is, this way has ended up being retrospective and aggregated, meaning solutions lack impact and appropriateness.
Made With 窪蹋勛圖厙 changes this by revealing intent, and with it, your previously overlooked opportunities. It shows you who to target and what to do for maximum impact.
Made With 窪蹋勛圖厙 allows you to prioritise using the most effective prioritisation method possible - how people really buy.
If you know someone has a high intent to purchase but hasnt bought yet, the hard work is already done. They just require a little push over the line. Yes, Made With 窪蹋勛圖厙 will identify these visitors (and others), based on potential opportunity to your business, and provide you with the ability to target them through an integration with your marketing platforms.
Of course, that still requires effort from you to communicate with these segments. But focus creates impact. In most cases, we advocate focusing on segments that might convert now, to demonstrate immediate ROI and incremental revenue. Better prioritisation equates to lower effort in both the short and long run. And our data lets you do this with the tools youre already using.
It is likely youll already be segmenting your visitor base by attribute, RFM (recency, frequency or monetary) or affinity. These segmentation methods are well-known and used, yet are retrospective and therefore can be limited.
窪蹋勛圖厙 metrics, like intent to return, give you the ability to focus on real-time, predictive measures. While this might seem like another segmentation methodology, it simply layers a new view onto your strategy. And not just any view, but the one that is most fundamental to how we sell (and buy) in real life. If you understand customer intent, you can sell in a way that is more personalised, more relevant, more appropriate and, ultimately, more impactful.
窪蹋勛圖厙 isnt an advanced personalisation strategy, its a basic segmentation framework. Its actually the most simple and fundamental way of segmenting your customers, because it is aligned with how people really buy.
Current online personalisation strategies are often based on attributes which are proxies and assumptions of how people buy differently - traffic source, device, product category, new vs returning etc. Such methods are not truly indicative of how people buy, nor are they personal.
The mindset of the customer - where they are in their buying stage, how likely they are to purchase - is a much more aligned and personal anchor to personalise your messaging and content on. It makes more sense and is now no more difficult than, for example, what page theyre on.