Recently active topics

26 Topics

Using predictive lifetime value for Meta (FB) ads

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?

1 day ago

kclkirkNew Contributor

asked in General Discussion

Survey Solution Suggestions

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?

2 days ago

Harjeev SinghSegmenter

published in Unify

Identity Resolution Q&AF.A.Q.

Below are some common questions covered in our latest session (full recording below) on ID Resolution & Profile Integrity. ---What would be the impact on MTUs with a lower frequency limit of an anonymous ID? MTU calculation happens in Connections, separate from Unify Will S3 be supported for Profile Sync?Currently we don’t support S3 What are common use cases for creating and using Traits?Traits are used on Identify calls but generally can be overwritten and change overtime. Think about what is likely to change for a user (i.e. customer tier: free tier to paid/business tier). Traits can be personalized for messaging and marketing. Once an identifier has been assigned, it cannot be reused. What is ID resolution in the context of customer data management? ID resolution is the process of linking all interactions and data points related to a single customer across various channels and platforms into one unified profile. This ensures a cohesive and personalized customer experience by un

3 days ago

Paul BurnsNew Contributor

asked in Product Q&A

Source Function Not Working as Expected

Hello all!We currently sync all of our Segment data into Snowflake but there is one event which has a format that upon Segments automatic un-nesting of properties into columns creates a column explosion and sync failure.To overcome this we have been proposed creating the below flow. Segment Source via Function - this function is defined to intercept the malformed property and correct it. Creating an identical event besides that one event property being changed. Segment webhook Destination - this is a webhook (actions) destination which has as input our source which brings in the malformed event. This destination has a mapping configured to send to the webhook url defined by the Segment Source via Function.All Testing is showing that the Source Function is behaving as expected where I can pass in an event with the malformed event and it corrects it. The webhook Destination when sending a test event shows that the event being sent was a success. The problem is that the Source, powered by

3 days ago

Brendan MaherNew Contributor

asked in Product Q&A

Control Groups

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.

4 days ago

Richard FaheyNew Contributor

posted in General Discussion

Linking unknown users to a business / account

Hello, I am exploring how we can use Segment to associate un/known users to un/known businesses. Has anyone top tips to share regarding this activity.To date we have mapped out the un/known contact identities and the priority order. We are about to undertake a similar exercise for the business/accounts.Thanks in advance Richard

4 days ago

Harjeev SinghSegmenter

published in Privacy

Data Democracy: Privacy and customer experience (overview & demo)Tutorial

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

5 days ago

Brian ForsterNew Contributor

asked in Product Q&A

RETL Mapping - Refresh Test Data

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?

8 days ago

Saurabh KanchanNew Contributor

asked in Product Q&A

Integration of talon one and Segment engage

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)

8 days ago

Tri LeNew Contributor

asked in Product Q&A

LeonardoNew Contributor

asked in Product Q&A

Facebook Clic Id cookie and FBP cookie are refreshed late

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

11 days ago

Saurabh KanchanNew Contributor

asked in Product Q&A

Using objects and arrays of objects as traits in email editor (Broadcast)

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.

11 days ago

SaranshNew Contributor

asked in Product Q&A

Integrating JSON type columns to Snowflake instead of flattening

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.

12 days ago

juan pablo duqueNew Contributor

posted in General Discussion

In your companies, which roles are currently responsible for creating audiences in Segment?

Hi everyone, I'm curious to learn more about how your companies are currently building their audience creation processes. Specifically, I'm interested in understanding which roles are involved in this process. Is it primarily handled by the marketing team, the data team, or the product teams?

15 days ago

Sagar ViradiyaNew Contributor

asked in Product Q&A

Not able to sync nested fields under object in Intercom

We are syncing fields nested under the object to Intercom, but it seems it is not working.we have the following tracking plan for Identify and Group calls.For the Identify call, we are trying to sync the pickupOutsourcingEnabled field, which is under the settings object. To enable this sync in Intercom, we updated the filters and created a Transformation to move the property to the root level.Although we are not encountering any errors in the Event delivery when sending fields to the Intercom destination, we are unable to see the field in Intercom.Group Call Tracking plan{ "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "labels": {}, "properties": { "context": { "id": "/properties/context" }, "traits": { "type": "object", "properties": { "settings": { "description": "Buyer company settings.", "id": "/properties/traits/properties/settings", "properties": { "pickupOutsourcingEnabled": {

16 days ago

Tiffany DarwishSegmenter

published in News & Updates

New in Predictions: Predict on the event propertyNews

You can now build granular predictions based on the specific properties of any event tracked in Segment.What’s that mean for you?Here’s a couple of use cases that show what’s possible:Predict the propensity that Marketers will buy tickets for your upcoming industry expo - filter on the property that identifies Marketers in your customer base. Predict the likelihood of a customer adding an item to their cart that cost more than $20 - filter on the property that identifies the cost of your product. Predict how likely someone is to share a social media post on Facebook - filter on the property that identifies the specific platform.Watch this quick video from Product Manager Troy Bolus on why we are so excited about this release!

280

17 days ago

juan pablo duqueNew Contributor

asked in Product Q&A

Problems with Google Ad Remarkting list destination

Hi everyone,I am writing to inquire if any of you have been experiencing issues with audience match using the Google Ads destination. We are currently seeing a 20% decrease in match rate compared to manual uploads to the Google platform. It seems this may be related to API limitations, but I wanted to check if you have also observed a decrease and, if so, what steps you have taken to mitigate it.Any insights or suggestions would be greatly appreciated.Thank you,

19 days ago

Stephen Plesko

asked in Product Q&A

Setting up Google Analytics 4 Web Destination

We have been having difficulties getting GA4 to properly load and ingest data from Segment. Anyone have tips or settings they recommend we use both within GA and within Segment?

22 days ago

James LarsenNew Contributor

asked in General Discussion

Segment Unify Attribution Expectations

Our company currently uses Google and Facebook for most of our paid advertising, and we're trying to tie our customer's journey from web through to sign up of our app. We use Segment so started using their "Unify" service to try to figure out where our customers came from. However, after much tweaking and even reviewing our setup with Segment, we're still landing at about 48% of our customers signed up with no visibility into any pre-sign up activity (web viewing or ads clicked). Our customers mostly interact via mobile (very little desktop usage).The question I'm trying to answer for the team is if 48% non-attribution indicates a problem with our setup, or if due to the tightening of privacy and security lately, that's just the "new normal" for tracking user's journeys from web to sign-up? We tried asking Segment, but their response didn’t tell us much, so would love to get some feedback from this community. Any insight is greatly appreciated!

24 days ago

Chauntel GreavesCommunity Manager

published in News & Updates

Upcoming Webinar: Identity Resolution - Essentials from a Data Scientist

Date & TimeWednesday, April 24, 2024 · 12:00 p.m. Eastern Time AboutBuilding a scalable and trustworthy model for identity resolution is challenging to say the least. It requires a consistent approach, a true universal identifier, and a flexible real time rules engine for profile merges.In this webinar, Sr Data Scientist, Nathan Wang highlights how a deterministic approach for identity resolution, leveraging first-party data, enables 100% reliable profile unification.We'll demonstrate how to build rigidity around what should be fixed so that data science teams can focus on the highest impact areas for their specific business. Register here. AgendaKey considerations for data teams regarding identity resolution How to simplify the approach of building your data pipelines Pros and cons of building vs buying How to construct an effective ID graph Register to watch live. On demand version will be available shortly after and shared to community.

570

25 days ago

Chauntel GreavesCommunity Manager

published in Data Maturity

Adapting your data strategy

This is session #3 of 3 where we cover intelligently leveraging data to deliver personalized, multi-channel customer experiences at scale. Once you’ve built your customer data foundation and use customer data to drive KPIs you’re ready for the Adaptive stage of customer data maturity. What’s covered: Unifying your data across all touch points Deploying automation for data governance processes Implementing predictive analyticsSessions one and two.

110

26 days ago

Chauntel GreavesCommunity Manager

published in Data Maturity

Advancing your data strategy beyond the basics

This is session #2 of 3, where we discuss how you can start to add more complexity to your data strategy: whether by introducing more instrumentation, building more audiences, or by joining profiles together in more creative ways. What’s covered: Deciding what data should be collected to achieve meaningful engagement Resolving data into unified golden profiles that provide a single view of the customer Activating data and profiles to achieve positive business outcomesSessions one and three.

26 days ago

Chauntel GreavesCommunity Manager

published in Data Maturity

Building a solid data foundation

This is session #1 of 3 where we start at the beginning and focus on how to build a strong customer data foundation to set your engagement strategy up for success.What’s covered: Deciding what data should be collected to achieve meaningful engagement Resolving data into unified golden profiles that provide a single view of the customer Activating data and profiles to achieve positive business outcomesSessions two and three.

260

26 days ago

Page 1 / 2

Recently active topics

Identity Resolution Q&AF.A.Q.

Data Democracy: Privacy and customer experience (overview & demo)Tutorial

New in Predictions: Predict on the event propertyNews

Badges

Sign up

Login with SSO

Login to the community

Login with SSO

Scanning file for viruses.

This file cannot be downloaded