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This brief video tutorial explores the balance between data privacy and the customer experience. Two key questions we tackle:What type of data do businesses collect? How to get compliant and consented data use with a CDP? Privacy Portal & Consent Management Demo in UI
When editing a mapping for RETL and the source data has changed, the sample data and test data do not refresh. Is there a way to force the preview and test data to refresh?
We use Segment Engage as our Engagement Platform and Talon One for promo handling. Wanted to check the viability of this use case if anyone else has tried this - When a user enters and audience/ or triggers an event, we want to generate a personalised promo code in Talon One and send it to Segment engage (in real timish) to send across to that user in an email. Specific question on this, how can we bring this incoming promo code from talon one into email template as a user trait. There is no default integration of Talon One and Segment for engagement use cases. (there is one for CDP data transfer, creating audience etc use case)
This is my use case:I (Admin) have created a few sources. I have given access to source A to my team member, and they need to create a destination that links to source A. However, it seems like only I can create destination, and they cannot. Is there such a setting in User Access Management that would make this possible?The main point is that I don’t want to be the only one creating destinations, because I could make a mistake when connecting sources to destinations, since I have access to all sources. I’d rather someone who only has access to one source, create the destination.
Hi there, I am hoping someone can help me find a resource where I can search for a historic call? I want to look at the raw data from a call which occurred around 10 hours previously. I can search in Sources > choose source > Debugger for calls which have happened recently (screen shown below) but am hoping to find one further back than this.I’ve taken a look in the documentation but it’s a tricky one to search and I haven’t come across anything that I think would work.Any help or advice anyone has would be greatly appreciated!
I use segment to maintain audiences. At times I want to activate an audience by downloading a CSV file from segment and using it to trigger for example a discount for an audience. for each audience I would like to maintain a say 5% control group, so that I can prove the audience behavior is triggered by the discount. I don’t seem to be able to find a method within Segment to be able to do this. Instead I need to run my downloaded file through an SFMC feature that will split out a random group of 5% from the audience.Does anybody know of a way that such a task can be done within Segment itself. Creating for example a random 5% of the Audience in another audience that would then be the control group for that audience.
Hello everyone! We are looking for a potential replacement for Alchemer to run surveys and collect product feedback. We need something that allows for multiple questions, logic-based paths and easy, lightweight implementation. Ideally it would integrate with Segment for easy triggers from Segment track events and streaming of survey data to various destinations. White labeling and a lightweight SDK or cloud-based solution would be great as well. Anyone have a solution they would recommend?
Hello everyone!I have an integration from Segment to Hubspot Cloud Mode (Actions) where I created a mapping for group calls for update some deal’s properties on destination.The problem here is that I have a custom property “empresa_id” for search the deal that may be updated, it’s an unique internal company ID on my application, but in Hubspot it can be repeated in other deal with the same “empresa_id” value so Hubpost API failed, because it supports only one record update by request.I have another property called “empresa_activa” (boolean), it describes if deal is active or not, I want to use that property for search the deal to update too:But when I configure it on mapping, the request always fails because the generated search in request is:"filterGroups": [ { "filters": [ { "operator": "EQ", "propertyName": "empresa_activa", "value": "1" } ] }, { "filters": [ { "operato
Hello everyone,We've integrated Segment with both Pixel destination and Conversion API destination on our web properties. The documentation emphasizes the importance of passing the `fbc` (Facebook click ID) and `fbp` (browser ID) cookies in the API events to allow Meta to deduplicate events effectively. However, we're encountering a synchronization issue described as follows:A user clicks a Facebook ad and lands on the landing page. Segment initiates, downloading the Pixel via its CDN and sends the `page_view` event to itself. At this point, Meta’s Pixel has not yet activated, so the event sent to Segment may contain either outdated cookies from a previous session or no cookies at all. Meta’s Pixel then activates and performs the following: Extracts the Facebook click ID from the URL and either updates the `fbc` cookie or creates a new one if it's not present. Similarly, it handles the `fbp` cookie, updating or creating it to store the browser identifier. Meta’s Pixel sends the `page
Can we use custom traits of data type objects and array of objects in email in Engage? For example - consider these traits - last_car_plan_selected (object type), list_car_policies (array of object type) Now, when I try using these objects in the email in a broadcast - I have used the traits as appearing in merge tags - {{ profile.traits.last_car_plan_selected.name }}, {{ profile.traits.last_car_plan_selected.premium }}, {{ profile.traits.list_car_policies.$.items.policy_start_date }} etc. When this email comes from Segment, the values are blank when infact these traits have specific values in user profiles. I tried using different formats of this using liquid js but it seems nothing works.
I’ve created a predictive LTV trait and want to leverage it via FB ads, especially for new customer acquisition. Is this limited to pushing it as an audience and creating a lookalike etc or is there a more sophisticated way to use this to find likely high LTV new customers?
When we send JSON object type columns to Snowflake, Segment flattens them and create separate columns for each key. This exceeds the 5000 properties limit. What would be a good workaround for this? We are thinking of sending data in Array format but it will require more effort in Snowflake to use such data.
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