Introduction and Context
Xavier Valet, with 24 years of experience at Hellowork, introduced the role of user data collection and analysis in understanding site navigation and facilitating strategic decision-making. He described the importance of data reliability and implementing a structured tagging plan to avoid decisions based on erroneous data.
Importance of the Tagging Plan and Data Analytics
The tagging plan is essential for understanding who visitors are, where they come from, and how they interact on the site.
Tools such as Google Tag Manager are utilized to collect this information without constant developer intervention, ensuring consistent and GDPR-compliant data collection.
Furthermore, the tagging plan can be implemented using various tools: Excel for simplicity, Jira or Confluence for experienced users, and one could even consider working with Google Sheets.
Every sector needs to understand its audience to verify its alignment with the target demographic.
According to Xavier, analyzing truncated data risks leading to poor decisions; therefore, data collection must be made reliable to ensure its sustainability. These analyses serve as decision-making support at Hellowork.
Manual Acceptance Testing and the Need for Automation
Manual acceptance testing is performed to verify that tags are functioning correctly, particularly by utilizing tools such as Tag Assistant, Analytics Debugger, and Piano Analytics.
However, given the frequent changes, it’s becoming difficult to verify everything manually. That’s where Mr Suricate , automating these checks in a more responsive and efficient way. The key here is “No Code”—we need solutions that are simple and easy to implement.
At Hellowork, some products aren’t at the same level of maturity, yet we still need to collect data consistently. We can’t analyze everything all the time, which is where Mr Suricate simplify the team’s work.
Overview of the Mr Suricate Solution
Mr Suricate a no-code automated testing solution that allows you to verify the presence and proper functioning of tags, perform load tests, and ensure GDPR compliance and security.
Mr Suricate quickly detect regressions in user flows, thereby preventing performance losses caused by undetected incidents.
Use Cases and Practical Examples
Xavier provided several concrete examples:
Site Regression
If a webinar is conducted and integrated into a €1000 acquisition campaign, and the results fluctuate between 100 and 5 registrants, it should not be immediately assumed that its effectiveness has diminished!
The issue could simply stem from data collection; consequently, prematurely halting a successful campaign constitutes a strategic error.
KPI Evaluation
Thanks to Mr Suricate automated monitoring, teams can identify regressions that impact KPIs and prioritize them to avoid unnecessary downtime or hasty decisions.
Benefits of Mr Suricate Autonomy and Simplicity
The no-code aspect of Mr Suricate allows Hellowork teams to become self-sufficient in creating and managing test scenarios, without requiring advanced technical skills.
The tool’s simplicity, combined with Mr Suricate support, made for a quick and efficient implementation. Today, Hellowork uses a SaaS license—after all, Xavier, a former developer, likes to see what’s going on behind the scenes!
I was very satisfied—after just one day of training, the team was already able to do simple and useful things! Drawing on his experience, Xavier can say: “Today, we don’t have any major problems anymore; the solution is easy to learn, it’s fun and logical—so it’s simple!”
Conclusion: Data Reliability, an Imperative
If there is one key takeaway from this webinar, it is: data reliability!
Data reliability is essential for conducting accurate analyses and making sound strategic decisions. Collecting data is essential, but its quality is paramount to avoiding costly errors. Mr Suricate thus Mr Suricate Hellowork secure its user journeys while reducing the risk of incidents on the site.
FAQ
Why is it important to ensure the reliability of navigation data?
Because marketing and product decisions are based on it. Data distorted by broken tagging leads to poor decisions.
What is a marking plan?
This is the framework that defines which events and data are collected on the website or app. Its reliability determines the quality of the analytics.
Why automate the acceptance testing of markings?
Because checking it manually is tedious and prone to error. Automation ensures regular and reliable monitoring with every update.
How can you detect corrupted analytical data?
By automatically replaying the scenarios and verifying that the expected events occur, with an alert in case of a discrepancy.
How does Mr Suricate ensure data reliability?
By automating route testing and marking, to ensure data security for both business teams and key accounts.
Take it a step further: data layer testing.
