Made With Intent enables you to act on real-time and historical intent signals to personalise customer experiences. At its core, the platform helps brands understand where a customer is in their journey, and tailor what they say or show, accordingly.
Our use cases fall into two key categories:
⚡ In-Session: Personalising a user’s on-site experience in real-time
📬 Post-Visit: Using insights from sessions to personalise messaging after they’ve left
Together, these capabilities allow you to meet your customers with the right message, feature, or offer, exactly when they need it.
⚡ In-Session Use Cases
These use cases focus on adapting experiences while users are on site, using real-time signals to surface appropriate messaging at the right time, based on a visitor’s journey.
Discounting with Intent
Many brands apply discounts broadly; offering them to every user, whether they’re hesitant or ready to buy. With Made With Intent, discounts become a strategic lever. You can identify which visitors are likely to need a nudge to convert and only serve incentives where there’s a clear upside. This not only protects margin but also creates a more relevant and intentional customer experience.
Email Capture with Intent
Traditional email capture often interrupts the shopping experience; popping up at the wrong time (typically very early on in the journey) with little regard for customer context. Instead, you can use intent signals to trigger email capture when the visitor is actually ready and the value exchange makes sense to them. This improves the experience and increases capture rates.
Features with Intent
Site features like live chat, product reviews, or social proof are powerful, but only when used at the right time. Rather than overwhelming visitors with everything at once, Made With Intent helps you surface the most relevant features when they’ll have the most impact. For example, live chat can be shown to struggling users, reviews to those seeking reassurance, and social proof to visitors showing signs of hesitation.
Product Discovery with Intent
When product discovery tools are poorly timed or hidden, customers often leave without finding what they need. Using intent signals, you can proactively surface tools like recently viewed items, product recommendations, or category filters to users who appear to be struggling to decide or navigate. This keeps visitors engaged and reduces abandonment by helping them discover the right products more easily.
These use cases can all be deployed through our Campaign Manager; either by using pre-built templates or through integrations with testing and personalisation platforms like Bloomreach, AB Tasty, and Optimizely.
Find out more about building experiences with Intent here →
📬 Post-Visit Use Cases
These help you use session-level insights to personalise follow-up messaging.
Tactical Abandonment with Intent
Most abandonment emails rely on simple triggers, like viewing a product or adding to cart, without any sense of the customer’s actual mindset or where they are in their journey. With intent signals, you can make abandonment strategies smarter and more selective. Use behavioural context to decide when to send, what to include, and whether an incentive is needed.
Even better, you don’t have to wait until someone leaves to act. Our real-time abandonment signals help you detect when a user is showing signs of exit before they actually leave. This means you can intervene in-session, perhaps by offering reassurance, surfacing help, or reinforcing value. Giving you a shot at saving the session before it’s lost.
Email Engagement with Intent
Engagement emails work best when they reflect what a customer actually did. Instead of broad, generic messaging, you can trigger campaigns based on a user’s level of interest, journey stage, and product affinities. Turning email into a genuinely personalised channel that drives revenue, not unsubscribes.
These use cases can be delivered using our Session Summaries, enriching customer profiles in your CDP or CRM with intent attributes for use in marketing automation platforms.