2026-03-17 | Event Based Retargeting (v2.9.7)
Feature release | New triggers, near real-time triggers, and more info in the output
Abandoned checkout trigger — A new trigger type that automatically targets customers who start the checkout process but don't complete their purchase. This is one of the highest-intent moments in the customer journey, making it an ideal opportunity for a well-timed reminder.
Near real-time processing — A new image called "Realtime Event Based Retargeting" makes it possible to process trigger events within 15-30 minutes instead of the previous maximum of 3 runs per day. This means marketers can reach customers while their intent is still fresh — for example, sending an abandoned checkout reminder within the hour rather than waiting until the next scheduled run.
Purchase intent trigger — A new trigger type that identifies customers showing strong buying signals, such as repeated product views or cart activity, without completing a purchase. This allows marketers to proactively engage high-intent users before their interest fades.
Furthermore:
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Configurable trigger delay — A new trigger-event-type-delay-hours setting lets marketers add a waiting period before a trigger fires. For example, you can wait a few hours after a cart abandonment before sending a reminder, giving the customer time to return on their own.
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Order value in output — Quantity and order value are now included in the delivery output, so marketers can prioritise retargeting based on the monetary value of abandoned items — reaching out to high-value prospects first.
2026-03-12 | CDP Behavior Trigger (v2.5.3)
Feature release | Price Drop Trigger
A new price-drop trigger has been added to the CDP Behavior Trigger module. When a product's price drops by a configurable minimum percentage compared to the price at the time the customer last interacted with it, a trigger event is fired. This allows marketers to automatically re-engage customers with personalised messages about items they previously showed interest in that are now available at a lower price — a highly relevant and timely touchpoint that can drive conversions.
The minimum price drop percentage is configurable in the cockpit (default: 10%).
2026-03-01 | A/B Testing
App release | You can now do A/B tests on web personalisation components, all from within the new Analytics app
The A/B Testing module helps you measure whether changes to your marketing or website actually improve results. When you run an experiment — for example, testing two different email subject lines or homepage layouts or Inspire personalisation variants — this module automatically tracks how each version performs.
It evaluates three types of outcomes:
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Conversion rates — did more customers take the desired action (e.g. make a purchase)?
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Event counts — did customers engage more often (e.g. more clicks or page views)?
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Revenue — did customers spend more?
The module uses Bayesian statistical testing to analyse the results. Unlike traditional A/B testing that simply tells you "significant or not", Bayesian analysis gives you intuitive, probability-based answers — for example, "there is a 94% chance that variant B performs better than variant A" and "variant B likely increases revenue by 5-12%". This makes it much easier to make confident, data-driven decisions about which version to keep.
Outlier filtering is built in to ensure that a few extreme values (like an unusually large order) don't skew the results, so the conclusions you draw reflect typical customer behaviour.
How to do use A/B testing?
For now, the Inspire team has to manually turn on the A/B testing feature, so please reach out to the team if you want to use this. From CDP V2 onwards, the Analytics app should be automatically available.
From this app, you can start a new experiment. This only works on web personalisation components, not yet on components within (e-mail) campaigns.
2026-01-01 | Attribution
Feature release | Revenue attribution within e-mail campaigns
The Attribution module helps you understand which marketing channels and campaigns are actually driving your sales. When a customer makes a purchase, it's often after interacting with multiple marketing messages — an email, a push notification, a campaign click. Attribution answers the question: which of those touchpoints deserves credit for the conversion?
The module uses a last-touch attribution model: the most recent marketing interaction before a purchase receives full credit ("attributed"), while earlier touchpoints in the customer journey are recorded as "assisted". Transactions with no matching marketing activity are marked as "unattributed".
For each channel and campaign, the module calculates attributed revenue, assisted revenue, and the number of transactions — broken down by date. You can also view the total revenue on the Statistics tab within the E-mail Campaigns app.
Important: Attributed revenue includes all purchases made by a customer within 5 days after clicking an email — not just purchases of the specific products that were recommended by Inspire. A customer may be inspired by a personalised email and go on to buy other products as well. All of that revenue counts towards the attributed total, because the email played a role in bringing the customer back to the shop.
Impact
The Attribution module provides the ability to prove the value of personalisation by showing how much revenue personalised campaigns generate. They can compare personalised vs. generic campaigns, and highlight assisted revenue where personalisations supported the customer journey without being the final touchpoint.
It can of course also be used for e-mail campaigns where no personalisation is being used.
How to use?
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The Inspire team can help you enable this feature. From CDP V2 onwards, this manual enablement won’t be necessary anymore.
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In the Inspire Cockpit, navigate to the Analytics section in the bottom-left corner. The default settings will work for most cases — the main thing to configure is the schedule, which determines how often the attribution analysis runs. Typically this is set to once per day. After the first scheduled run (or a manual run by the Inspire team), attributed revenue will start appearing in your email campaign reports.
How to interpret the results:
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Attributed revenue & transactions — this is the revenue and number of conversions directly driven by a channel or campaign (based on last-touch). Use this for ROI calculations and to compare campaign performance.
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Assisted revenue & transactions — these show channels that played a supporting role earlier in the customer journey but weren't the final trigger. A channel with high assisted revenue but low attributed revenue is still valuable — it's nurturing customers toward conversion.
Each event type has a configurable attribution window — for example, an email click may count as a valid touchpoint for up to 5 days before a purchase, while a delivery event only counts on the same day. This lets you control how far back the system looks when assigning credit.
Default Attribution Windows
These properties control how many days before a purchase a marketing event can still receive credit. If a touchpoint falls outside this window, it is not considered for attribution.
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Email Delivered Window — default: 0 days. An email delivery only counts if the purchase happens the same day. Set to 0 because simply receiving an email (without opening/clicking) is a weak signal.
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Email Clicked Window — default: 5 days. An email click counts as a valid touchpoint up to 5 days before a purchase. Clicking shows active engagement, so a longer window makes sense.