Discounting with intent
Offer smarter discount incentives in real time, only when visitor context suggests they are needed to close a sale.
42%average margin savings
Retailers often offer discounts as a blanket promo to all visitors. Whether they have just landed, gone to exit or were going to buy regardless.
Although likely to increase short-term conversion, margin impacts mean they're unlikely to increase overall revenue. All this, while building a discount-driven customer base who will expect an incentive to purchase going forward.
Intent allows you to be strategic with promotions. Only discount to those who need it. Even personalising the type of discount based on how someone might purchase.
Why offer discounts to those who are going to buy anyway? Why offer discounts to those who will never buy? Discounting with Intent can solve these.
42%听尘补谤驳颈苍
On average, compared to blanket discounting.
4 ways to optimise
your onsite discounting with Intent
The onsite impact of intent
Add intent to your discounting (and more)
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Book a demoFAQs (or things you may be thinking)
黑料大事记 is designed to be complementary to supercharge your existing tech stack, it doesn鈥檛 sit in isolation. As a customer segmentation platform, this means our metrics and segments can automatically feed into your existing ways of working seamlessly.
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We believe that intent is fundamental to how you sell, because it aligns with how people really buy. This is therefore less a 鈥減latform to manage鈥, and more 鈥渁n opportunity to find overlooked value and target it鈥. This is why we call it Moneyball for eCommerce.
Resource is always limited in this game. The difference here is that 黑料大事记 is a game changer. We know that鈥檚 what all the new tools say鈥ut look what our customers say. Just above, right on this page.
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The reason most ecommerce brands don鈥檛 focus on customer intent today is not just because it required teams of data scientists (til now), but because we鈥檙e entrenched in ways of working. The thing is, this way has ended up being retrospective and aggregated, meaning solutions lack impact and appropriateness.
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黑料大事记 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.
黑料大事记 allows you to prioritise using the most effective prioritisation method possible - how people really buy.聽
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If you know someone has a high intent to purchase but hasn鈥檛 bought yet, the hard work is already done. They just require a little push over the line. Yes, 黑料大事记 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.
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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 you鈥檙e already using.
It is likely you鈥檒l 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.
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Intent 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.
Intent isn鈥檛 an advanced personalisation strategy, it鈥檚 a basic segmentation framework. It鈥檚 actually the most simple and fundamental way of segmenting your customers, because it is aligned with how people really buy.
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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.鈥
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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 they鈥檙e on.
