Обновления
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Starting January 2020, there will be a change in statuses of campaign events. Due to standardization, we will rename the enqueued and enqueue_failed statuses to sent and send_failed respectively.

Delivery failure statuses in emails will also be standardized, and statuses hard_bounced and soft_bounced will be used instead of current dropped and bounced status, to inherit the logic from the ESP and use conventional naming.

This will also introduce a change to all Mailgun integrations, that will start using mailgun’s new webhook routes (no user action required). This change will impact any analysis or customer filter in campaigns that is using the campaign events mentioned above. To change the filters to count both old and new naming, change the filters to include both statuses using IN selector.

Want to see important analytics from your email campaigns with just one click? A new email dashboard allows you to immediately see how successful an active campaign is.

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Make it easier for your customers to engage with your mobile app. Now you can send links that will open directly in the app, instead of their browser.

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Lead ads are the best option for lead generation campaigns on Facebook and Instagram. Combined with Exponea, they can boost your lead generation even more, thanks to capabilities like advanced customer segmentation or predictions. Now you can track all these Facebook Lead Ads form submits as events in your Exponea project.

See product description or read more in our documentation.

Delete by filter enhances the current delete events functionality. If you tracked or imported a lot of defective data, now you can easily filter and delete only those with a specific event attribute or from a specific time period using the data-filter.

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With great power comes great responsibility. General consent may be a good servant but a bad master. Thanks to this setting, you can prevent accidents like sending a test e-mail to your entire customer base. Project administrators will be able to disable general consent for certain channels.

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Project admins are now able to define an email list hygiene filter that will be evaluated before sending an email via scenario or email campaign. The goal is to avoid sending emails to customers who have been inactive for a longer time which led to hurting your domain reputation and therefore inbox placement. Feel free to use the default hygiene filter which was designed by our email deliverability specialists.

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Want to recommend the best items from a particular category to your customers? Now you can do it easily, with confidence that plenty of products will be recommended (even for smaller categories).

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Successful recommendation use-cases rely on incoming data quality (catalogs/events), a working integration with the channel (web/email/other), and a good distribution of recommended products. This dashboard demonstrates whether a model is working as expected with a single glance, helping you find potential issues (such as a modified e-shop design breaking integration), or aiding you in improving the model settings.

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A new recommendation model allowing you to offer alternative products that can help your customers with product discovery. This model relies on titles and descriptions of the items in the catalog and uses machine learning techniques to recognize the similarity of words like black and dark.

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Need to remove unnecessary values from your metrics? You will now be able to filter all your metrics in reports so that only values that meet your criteria will be included.

Do you use the same consent categories for multi-language audiences? Now, it becomes much more comfortable as you will be able to set up translations for the names of the consent categories used on the consent page. You can do it in ‘Project settings’ -> ‘Privacy management’ -> ‘Consents’

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You can choose the access rights of a new user of your project right during the invitation or you can update them even when the invitation is still pending before being accepted.

In expressions, you can now use a function “length()” that will count values in a list, for example, it can count the number of customer cookies. We also added functions “sqrt()” and “power()” which can find the square root or the power of your input.

Filtering your strings just got more effective! After adding “starts with” and “ends with” filters, string values can now also be filtered using “regexp” constraint so that you can use regular expressions to customize your filtering even more than before.

Ever wondered when is the best time to email your customers? We have improved the optimal email time feature which predicts the best time for sending out emails. If you have predictions enabled you can use it immediately with just one click in both email campaigns and scenarios.

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