Define the business problem
First ask what question you want to answer, then decide what to track. Events that cannot be mapped to a decision are not implemented.
GA4 Data Integration Solution
Tracking the wrong data is more costly than having no data
Because it will be used to make decisions. We start with business questions to design events, implement, debug and validate them, then connect the data back to where you need it.
遠程資科 helps teams that are already using or preparing to implement GA4: design events based on business questions, implement, debug and validate them; connect data from GA4, Search Console, Google Ads and Meta Ads, primarily landing it in Google BigQuery; and, when needed, send actual transactions from CRM or offline channels back to advertising platforms. For identity matching, CRM personal data is converted into SHA-256 for matching by Google Ads and Meta Ads, and GA4 user data is matched back to CRM.
The purpose of tracking is not “having numbers”
Most companies’ GA4 is running, and they all have numbers. The problem lies in three areas:
Events are designed around the tool, not around the questions
GA4 is installed first, and only then comes the question, “So what should we track?” The result is that a lot of things that can be tracked are tracked, instead of the things that should be tracked. Six months later, when trying to answer a specific business question, it turns out it was never implemented.
No one knows which numbers are correct
There are no naming conventions, parameters are managed in isolation, and no one owns custom dimensions. Three people look up the same metric and get three different answers, so everyone starts to distrust the data and switches back to intuition.
Data is stuck inside platforms
GA4 has website behaviour, advertising platforms have campaign performance, CRM has closed-deal records, and offline there are actual orders. Each part is correct, but they cannot be brought together.
Tracking is not about "having numbers"; it is about making every marketing decision verifiable. And the prerequisite for verification is: the data must be accurate, consistent, and able to reach the place where decisions are made.
Start with the business problem, not with the tool
Event and parameter specification
Document the name, trigger timing, parameters, and custom dimensions of each event in a specification. This document is the basis for all subsequent implementation and acceptance testing, and it is also an asset for you if you change vendors in the future.
GTM implementation
Implement the dataLayer and tags, triggers, and variables according to the specifications. Naming follows a unified standard; it is not decided by whoever implements it.
QA debugging and acceptance
Verify each event one by one to ensure the trigger timing and parameter values are correct. The acceptance criterion is the specification document, not seeing numbers.
Publishing and version control
Container publishing has a process and records; changes are not made directly in the production environment.
Data integration and return
Send the validated data to the required destinations — reports, advertising platforms, or your database.
PII handling is a requirement throughout the entire process, not something added at the end. When user identifiers need to be transmitted, they are hashed and do not enter any analytics or advertising platform in plain text.
GA4 data integration solution service fee｜from NT$300,000 per year
Consulting, technical integration and data connection are planned according to the company’s needs, and the service content can be flexibly allocated within the annual budget.
Consulting services are billed at NT$6,700／hour; if used entirely for consulting, approximately 44 hours can be provided, or they can be allocated as equivalent technical integration and development services according to needs. Work beyond the agreed service scope will be quoted separately.
Services
Tracking implementation
| Item | Description |
|---|---|
| GA4 implementation | Design the event structure based on business questions and complete the implementation |
| GA4 health check | Review the correctness and consistency of existing events, parameters, and custom dimensions |
| GTM container rebuild | When an existing container is disorganised, rebuild it according to the specifications |
| Event specification document | Tracking documentation that can be handed over and accepted |
| Multi-site, multi-stream governance | Unified standards for multi-website, multi-brand, and multilingual environments |
| Consent Mode | Consulting on privacy mode settings and integration connections |
Data integration and return transmission
| Item | Setup fee | Monthly fee |
|---|---|---|
| GA4 API | — | NT$1,625 |
| Search Console API | — | NT$1,625 |
| Google Ads API | — | NT$1,625 |
| Meta Ads API | — | NT$1,625 |
| GMC product data synchronization | NT$25,000 | NT$6,700 |
| SSD offline conversion upload | NT$25,000 | NT$8,800 |
| Data Studio standard visualization report | NT$3,000／time | — |
Four categories of data integration work, viewed separately
Before commissioning, please first check which type of need you have. The following four tasks are independent of one another; completing one of them does not mean the others have been completed.
Data connection
Extract data from GA4, Search Console, Google Ads, Meta Ads and other advertising platforms (including GMC when needed), and first land the consolidated data in Google BigQuery to facilitate subsequent use for different purposes.
Report consolidation
Integrate existing data from each platform into a single Data Studio visualisation report to align the team’s consensus on performance.
Performance feedback
Use offline data to send actual offline or CRM transaction data back to the advertising platform, or send advertising spend data that cannot be integrated back to Google Analytics, so that campaign optimisation can see the true performance.
This service does not provide multi-channel attribution or media mix modelling.
Identity matching
Convert CRM personal data (PII) into the secure SHA-256 data format for identity matching by advertising platforms; user data received by GA4 can also be matched back to CRM.
Matching does not guarantee coverage of every cross-platform user. Real-time audience segmentation, cross-channel activation and CDP platforms are still not provided.
We provide part of the capabilities of a CDP, not a CDP platform.
It is better to clarify the boundaries first than to explain them afterwards.
What we can do
- Connect data from GA4, Search Console, Google Ads and Meta Ads, with the main implementation in Google BigQuery
- Send actual offline or CRM transactions back to advertising platforms through offline conversions, so that campaign optimisation is based on real performance rather than form submissions
- Create unified cross-platform reports in Data Studio
- Cross-platform PII matching
What we do not provide
- Real-time audience segmentation and cross-channel activation platform
- CDP licensing or agency representation
Deliverables
| Deliverables | Content |
|---|---|
| Event and parameter specification document | Name, trigger timing, parameters, and custom dimension definitions for each event |
| GTM container configuration | Tags, triggers, and variables built according to the specifications |
| QA verification records | Verification results for each event |
| Integration configuration documentation | Configuration and maintenance instructions for each API integration |
| Reports | Data Studio visualisation dashboard |
The event specification is your asset, not ours. It allows you to hand over to someone else at any time and also enables anyone internally to look up “where this number came from.”
Suitable
- Companies about to implement GA4 and wanting to get it right the first time
- Organisations where GA4 is already live but no one trusts the data
- Companies with multiple websites, multiple brands, multiple languages, and a need for unified governance
- Brands with offline conversions that want to send them back to ad platforms for optimisation
- Teams whose data is scattered across multiple platforms and who manually compile reports every month
- Teams that need to provide CRM personal data hashed with SHA-256 for matching in Google Ads and Meta Ads, or match GA4 user data back to CRM
Not suitable
- Teams that need real-time audience segmentation, cross-channel activation, or CDP licensing/agency services
The data analytics experts at Teleworker are not only proficient in Google Analytics 4, but also have extensive consulting experience, enabling them to interpret data, analyse the root causes of problems, and propose solutions from a business operations perspective. In past case discussions, they have helped us clarify the crucial next step.Toby Fan – 研華科技 Manager, Digital Platform Experience Planning
4.8
★★★★★
Trusted by All of our customers
Publications
Dual Engines in Practice: Precise Data × Human Warmth, Building the Power for Efficient Revenue Growth
★ UX design expert Cho Chih-Yuan × data analytics consultant Chen Chan-Yi, integrating hard data with human insights across disciplines ★ Data analytics as the “map” and qualitative research as the “compass”, teaching you how to find market opportunities and tell compelling stories ★ Reveals the three core propositions of product positioning, communication, and loyalty, making marketing no longer about spending money but about creating long-term value
DrMaster Press Co., Ltd. · 2026/07/14 · ISBN13:9786264145596
GA4 Comprehensive Strategy: A Guide to Success in Mastering Marketing Technology and Data Operations
Through the framework and logic of data analytics, this book helps readers transition from Universal Analytics to Google Analytics 4; it enables Google Analytics 4 to be not merely a tool for website/APP analytics, but also a helpful partner in daily work, giving Google Analytics 4 the ability to integrate with various marketing tools to achieve the purpose of automated marketing and effectively improve everyone’s work efficiency.
DrMaster Press Co., Ltd. · 2023/07/24 · ISBN13:9786263335196
Frequently Asked Questions
We already have GA4. What still needs to be done for data integration?
In most cases, we first review the existing events, parameters and custom dimensions, separate out unreliable numbers and questions that currently cannot be answered, and then decide whether anything needs to be rebuilt.
What is the difference between data integration, report consolidation, performance feedback, and identity matching?
Data integration means extracting data from GA4, Search Console, Google Ads, Meta Ads, and other advertising platforms, including GMC when needed, and first landing the consolidated data in Google BigQuery for subsequent use in different scenarios.... [Read full content]
How is CRM personal data used for matching?
CRM personal data (PII) is converted into a secure SHA-256 data format for identity matching by advertising platforms.... [Read full content]
How is GA4 data integration considered accepted as complete?
Events are accepted according to the specification.... [Read full content]
What are the costs for GA4 data integration, and what should be prepared for the interview?
The service fee for the GA4 data integration solution starts from NT$300,000 per year.... [Read full content]
First, see whether your current data can be used
Before the interview, please first list the systems where the data is scattered (such as GA4, Meta), which CRM you use, or where the data is currently stored. The interview will align on the current tracking status, the business questions that cannot be answered, how these sources connect to an implementation centred on Google BigQuery, and whether SHA-256 ad matching or matching GA4 back to the CRM is needed.
Book a needs interview