Most of my email opens tracked are from the famous Someone. I almost always email multiple people. I understand the tracking pixel cannot be customized when using the HubSpot plugin for Office 365 or other mail clients. However, within the HubSpot browser app or the HubSpot phone apps, it seems reasonable you can create a unique pixel for every person included in the email. At the very least, you should be able to strip out pixels for anyone on the excluded list (like co-workers for my company).
Without more granular tracking, the feature is rarely helpful and very annoying because of all the notifications. Then it only has value with email marketing campaigns.
Please consider investing resources to make this feature infinitely more helpful for all your users.
This was discovered in the latest QPR for Android, so you’ll want to take this news with a grain of salt. Hidden within the code, we see some new strings that read:
<string name=”lockscreen_quick_affordances_title”>Shortcuts</string>
<string name=”keyguard_affordance_enablement_dialog_message”>To add the %1$s app as a shortcut, make sure</string>
<string name=”keyguard_slot_name_bottom_start”>Left button</string>
<string name=”keyguard_slot_name_bottom_end”>Right button</string>
Thember’s reply has nothing to do with my idea. I don’t understand what Kanderson5 is saying so it may or may not apply. The issue I raised is to figure out a way to know who opens my emails with the tracking pixel when I email multiple people in one message. There has to be a solution for this.
You can also use the cid parameter in the tracking pixel code to customize the tracking pixel for multiple contacts. The cid parameter is a custom dimension that you can create in Google Analytics. To create a custom dimension, go to Admin > Custom Dimensions.
Once you have created a custom dimension, you can use it in the tracking pixel code like this:
<img src="https://www.google-analytics.com/analytics.js?n=1234567890&cid=1" height="1" width="1" />
<img src="https://www.google-analytics.com/analytics.js?n=9876543210&cid=2" height="1" width="1" />By KBH
Thank you for providing additional information about using the cid parameter in the tracking pixel code to customize tracking for multiple contacts. Custom dimensions in Google Analytics can indeed be a powerful tool for tailoring your tracking needs.
Here’s how you can utilize the cid parameter in the tracking pixel code:
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Create a Custom Dimension in Google Analytics:
- Navigate to your Google Analytics account.
- Go to the “Admin” section.
- Under the “Property” column, select “Custom Definitions” and then “Custom Dimensions.”
- Create a new custom dimension and give it a meaningful name, such as “Contact ID.”
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Generate Tracking Pixel with the cid Parameter:
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In your tracking pixel code, include the cid parameter.
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Assign a unique value to the cid parameter for each contact you want to track. This could be an identifier or a unique value associated with each contact.
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For example, your tracking pixel code might look like this:
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<img src=“https://www.example.com/tracking-pixel.gif?cid=12345” alt=“Tracking Pixel”>
In this example, “12345” is the unique value associated with a specific contact.
- Analyze Custom Dimension Data in Google Analytics:
- After you’ve implemented the tracking pixel with the cid parameter, you can analyze the data in Google Analytics.
- You can view and segment data based on the custom dimension you created (e.g., “Contact ID”) to gain insights into the behavior of individual contacts.
Using custom dimensions in this way allows you to track and analyze user behavior at a more granular level, making it easier to personalize your marketing efforts and gain valuable insights into how different contacts engage with your website or content.
Remember that Google Analytics may have undergone updates or changes since my last knowledge update in September 2021, so it’s a good practice to consult the latest Google Analytics documentation for any specific details or updates related to custom dimensions and tracking.
- Analyze Custom Dimension Data in Google Analytics:
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Thank you for this breakdown, @MBILAL14
Can you spare 15 minutes to discuss this in more detail and see how it solves our problem?
I am on the same company and team as Brian719!