Connectors and Integrations
Share questions about connecting Heap with your other applications and get support from the community
- 15 Topics
- 19 Replies
Hello Everyone,I’m trying to send server side events to heap and tried out the API from the documentation.I did notice a strange behaviour - for a new user identity if a single event is submitted, there is no parsing being done.If I goto the user section in there, all I see is a user without the identity present, is there a reason for this?Practically, it probably won’t hurt much granted we have multiple events for the same user identity fired.But this just feels a bit incomplete, and opens up possibility of slight inconsistencies.Regards,Thihara
We received a penetration testing result from a customer that our Content Security Policy (CSP) is insecure because we use ‘unsafe-inline’ and ‘unsafe-eval’ without nonces. We have this due to the requirement from Heap https://developers.heap.io/docs/web#content-security-policy-csp, but I’d like to know why? Is there anyway to get Heap to work without these source list values?
Hello team,I am using an Android device and trying to integrate Heap Analytics with my project. I am getting this error message "java.net.ConnectException: Failed to connect to heapanalytics.com/:::443" every time I try to connect.Note: I am able to log the events using emulator and other devices. 2022-08-04 12:08:22.668 8576-23264/com.g4app.dev W/Heap: Error connecting to https://heapanalytics.com/api/integrations/android/track: java.net.ConnectException: Failed to connect to heapanalytics.com/:::4432022-08-04 12:08:22.669 8576-23264/com.g4app.dev W/Heap: Batch request failed due to following exception: java.net.ConnectException: Failed to connect to heapanalytics.com/:::443 at com.android.okhttp.internal.io.RealConnection.connectSocket(RealConnection.java:147) Device Details:Device name: OnePlus 7 ProAndroid version: 11Build number: Oxygen OS 11 0.9.1.GM21AA Can you please help me with this? Thank you,Aanal Shah
Hey Heap Community! We’re in the midst of planning and trying to resource for a data lake solution like Snowflake or BigQuery, but it’s at least a few hires away and a few months off. I’ve been looking into other solutions in the short -term to join Heap data with some of our other data sources and came across the Zapier integration that could work for what we’re trying to do. I’m curious if anyone has used it before, if you’ve seen success with it or if there’s another integration that could automate a flow of data from Heap! Thanks!
Hey everyone.We are using S3 Connection to load data to our Lakehouse. We implemented the identity resolution as per documentation here https://help.heap.io/heap-connect/heap-connect-guide/identity-resolution/What we have noticed is that the user_migrations table always contains only up to 250K rows and as the table strategy for ingestion is not incremental, we are missing on some of the identity resolution for our events and sessions.Is this expected behaviour and known limitation? We haven’t found anything in the documentations mentioning this. Is there a workaround we could rely on?Thanks.
Hi all,I'm applying a filter to my Account Name (Salesforce) property using the list of names included in a file. However, I'm not getting all the accounts contained in the file. Can you please tell me the search logic/method applied to the names? (ie:Contains, Regex, Wildmatch, etc)I'm asking because if I use he Account Name → Contains → "name value" I can get the accounts I want existing in Salesforce. But it takes much more time to build the report.Best regards,Bernardo Madeira
Salesforce uses email as the unique identifier. Marketo uses the Person ID. If I use the different identifiers for each integration, does the data ultimately all come together on the Heap Identity? Just want to make sure I don’t have to make adjustments for all integrations to have the same unique identifier in order to get the level of data enrichment and continuity that I need.In my mind I need to make email the same identifier for everything so that it all syncs together but that can’t be the right way to do this--especially when you have several data sources all enriching the customers Heap Identity.
We’re going to cover how to send your Zendesk ticket data into your Heap account. This allows you to analyze your ticket data alongside your product usage data, surfacing insights on what product areas are generating more tickets for your support team and helps you report on the effectiveness of your customer self-service resources. Three great reasons to send Zendesk ticket data to Heap:Get a more complete view of your user engagement across support, product, and documentation websites. Create reports that let you see how effectively your self-service resources deflect support tickets Analyze which users are likely to generate certain types of tickets and take preemptive actions to address them.The setup for this is really easy and should only take a few minutes.Login to your Zendesk Support instance Click the grid icon in the top right corner, click Admin Center In the left menu, under Apps and integrations, click Webhooks Click Actions > Create Webhooks Define the Webhook setti
As a SaaS business, we have a goal of increasing our customer satisfaction score on the platform. So this quarter, I set up lots of HotJar surveys to collect user ratings and feedback on various features on the platform. Anytime a user left a rating on HotJar, I was able to capture that in Heap using an event. I built out a Heap dashboard specifically for my product team to have a clear overview of what is happening on each survey. Anytime we got a very low survey rating we were able to identify the customer quickly using Heap and reach out to them to help resolve their issue or try to improve their experience.How do others track and improve customer satisfaction? Thanks!
We’ve integrated Heap and VWO, our A/B testing platform, in order to get a more comprehensive and detailed look into A/B testing data. We’d sometimes lose cross-device data or multiple session tracking in VWO, maybe due to the length of our conversion funnel. So Heap fills in those gaps and is actually where we do most of our performance analysis and statistical significance checks. What’s been most beneficial is to be able to dive into A/B test results based on all the customer attributes we have in Heap. We've had A/B tests where we found that they perform really well for organic traffic, but actually hurt paid traffic, or other tests where desktop and mobile are performing differently, or we can look at the customer source, or if they’re visiting different pages pre-conversion funnel, etc. etc. - a lot of deeper cuts. It's been super useful for us! Something that I struggled with in the past was that we could only group by two attributes, but I know that was just changed, so I think
We’re 100% mobile. We make it easy and affordable for migrants, typically members of various African and Asian diasporas, to send money to their loved ones back in their home countries. As much as possible, we try to keep our app simple. This means all the juicy bits related to onboarding flow and transaction flow are generally controlled server side to address compliance issues. We have a pretty lightweight (homegrown I’ll add) server side a/b testing framework. This framework allows us to add users into experimental groups and then, based on their group memberships, have the apps treat them differently. Till now we’ve always analyzed the outcomes of the tests by using our standard BI tool (Sisense Periscope) and just looking at test outcomes (i.e. final number of conversions by cohort).This past month we finally connected our testing framework to Heap so we could better understand what was happening in-app during the test. Not just what happened, but also how it happened. How did w
Recently we used Heap Connect data to get a breakdown of our mobile app users by product type to better understand how users are utilizing the mobile app. This is something we historically haven't had a ton of visibility into due to our mobile app analytics being significantly less robust than our web analytics. We were able to use custom event Snapshots in Heap to flag mobile app users specifically, then use Heap Connect to tie them to our DB and gain a lot more insight, which worked great.Have others used this combination? What are your thoughts on how to build on this?
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