CASE STUDY
Enhancing Campaign Performance and Data Accuracy with TikTok Pixel
Industry | Retail Apparel & Fashion

Technology | Salesforce Commerce Cloud

Location | United States

salesforce-crest-partner
The client is an American Clothing company established in 2002 and headquartered in Gardena, California. It is a premium denim brand and targets fashion-conscious buyers. It is one of its kind in rebuilding the designs of industry standard sewing machines.

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Challenges

The client encountered critical challenges in tracking events, optimizing conversion rates, and driving revenue growth.

The goal was to harness this data to not only boost revenue but also to stimulate overall business growth.

They needed an advanced solution to capture accurate and comprehensive data, which was vital for making informed business decisions and refining their marketing strategies.

They required a solution that could integrate seamlessly with their existing systems and deliver actionable insights, enabling them to navigate the competitive landscape effectively.

Key Outcomes
Enhanced

Tracking accuracy, leading to better ad targeting

Increased

User engagement and higher conversion rate

Improved

Data reliability, facilitating informed marketing decisions

Solutions

Royal Cyber began by thoroughly understanding the client’s marketing objectives and pinpointing the key performance indicators (KPIs) that required enhancement.

We introduced both auto and manual advanced matching to better align website events with TikTok users, which improved campaign optimization through more effective bidding models and expanded reach by building larger, more targeted audiences on TikTok.

We implemented the TikTok pixel for precise tracking of user interactions and conversions. This involved integrating both browser and server-side events to ensure comprehensive data collection and accuracy. The dual integration established a robust tracking framework, enhancing targeting and measurement capabilities.

Additionally, we employed event deduplication mechanisms to prevent double-counting and ensure data integrity. This process filtered out duplicate events from both the pixel and server-side data, offering a clearer and more accurate representation of user actions.

What Customers Say About Royal Cyber

In the time that we have been working with Royal Cyber, we’ve found the Salesforce software and their team to be responsive, we really enjoy the people we work with, and we’re excited about some of the upcoming developments that they have planned for us!

 

80%

Increase in Customer Activity

Audience

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