Precise Data Collection: Server-side tracking bypasses ad blockers and browser restrictions to capture more comprehensive and accurate user interaction data.
Compliance and Privacy: You control how personal information is managed, including options for anonymization and robust consent management to ensure regulatory adherence.
Improved Website Speed: Fewer client-side scripts mean quicker page loading and a more seamless user experience.
Flexible Data Handling: Enrich and combine data streams across platforms with a unified server setup.
Google Server-side Tag Manager (sGTM)
Google’s server-side Google Tag Manager (sGTM) extends Tag Manager into a hybrid server and cloud configuration, seamlessly integrating with Google Analytics, Ads, and BigQuery. Experts at Impression Digital and Tatvic highlight its extensive customization options and continuous data collection capabilities. While it requires hosting and some technical expertise, sGTM is an excellent choice for organizations heavily invested in the Google marketing ecosystem.
Meta Conversions API
Meta Conversions API is heavily used to improve Facebook and Instagram ad tracking by sending event information directly from your server. According to Usercentrics, the process greatly enhances reporting accuracy and privacy compliance—a precious tool for Meta advertisers.
Tracklution
Tracklution is a no-code server-side tracking platform, fully controlled and favored by marketers and agencies for its transparency and ease of use. Tracklution can integrate multiple ad and analytics platforms, making it an ideal choice for teams that want to have effective tracking without the technical headaches.
TAGGRS
TAGGRS is directed at small businesses looking for low-cost, easy-to-implement server-side tracking with GDPR compliance. According to Conversios, it has the ability to establish quick migration and provides responsive customer support, thus making it ideal for resource-scarce businesses.
Piwik PRO (with sGTM or JENTIS)
Piwik PRO boasts enterprise-grade compliance and analytics and server-side tracking features alongside robust integrations. FounderPal and Conversios indicate that it works best for businesses with high data governance needs.
TrackBee
For web stores, TrackBee provides session enrichment and deduplication with minimal technical complexity. According to TrackBee’s tutorials and market reviews, it is especially well-suited for Shopify store owners focused on maximizing marketing ROI.
Segment (Twilio)
Segment is an umbrella customer data platform for large entities, offering unified infrastructure and feature-rich APIs for event routing. It’s suitable for companies that have sophisticated data needs and multi-platform configurations (Conversios, UserPilot).
Stape
Stape streamlines server-side tracking by offering managed hosting and easy implementation. Case studies demonstrate that it integrates smoothly with Google Tag Manager, Meta, TikTok, and more, making it an ideal solution for marketing teams with limited technical expertise.
50% Reduction in Manual Effort with Automated Campaign Performance Alerts
Role: ETL Developer, Data Architect
Category: Marketing Data Automation & Real-Time Analytics
Technologies Used: Matillion ETL, Snowflake, Webhook API, REST API, SQL
Objective
A US-based digital marketing agency faced challenges in real-time monitoring and tracking of paid campaigns across Google Ads, Bing Ads, and Taboola. The client needed an automated solution to instantly alert stakeholders about performance spikes or dips in key KPIs.
Approach
Our team designed and implemented a smart alert system using:
• Matillion ETL Scheduler to automate data pipelines and trigger notifications. • Snowflake to create dynamic tables and views for storing and processing campaign performance data.
• Webhook API & REST API integrations to push automated alerts directly to Outlook inboxes and Microsoft Teams channels for each client.
Solution Overview
The solution enabled near real-time monitoring of campaign performance, ensuring that account managers could act immediately on underperforming or high-performing campaigns.
Business Impact
• Achieved a 50% reduction in manual monitoring efforts.
• Enabled faster decision-making for campaign optimization, improving overall ROI. • Enhanced client satisfaction through proactive campaign insights.
Real-Time Product Upload Automation on Odoo Using Talend & REST API
Role: ETL Developer
Category: Data Integration & Process Automation
Technologies Used: Talend Open Studio, REST API, Oracle Database,
Objective
An FMCG client needed an automated way to update multiple product details — including images, videos, and descriptions — on the Odoo server in real time. Manual uploads were inefficient and prone to delays, making scalability difficult.
Approach
Our team developed an automated integration workflow using Talend ETL and REST APIs:
• Established a connection between the Oracle Database (source) and the Odoo server (destination).
• Configured Talend ETL jobs to detect new product entries as soon as they were created in the Oracle database.
• Utilized REST API calls to automatically push complete product details — including multimedia — to the Odoo system.
Solution Overview
This automated workflow ensured seamless, real-time synchronization between Oracle and Odoo, eliminating the need for manual uploads and ensuring the client’s product catalog remained up to date across platforms.
Accelerating Data Delivery with GA4 & GSC BigQuery Integration for a Dental Service Client
Role: Marketing Analytics Consultant, Support Data Engineer
Category: Data Engineering & Marketing Analytics
Technologies Used: Google BigQuery, SQL, Google Analytics 4 (GA4), Google Search Console (GSC)
Objective
The client required remote support to create and execute BigQuery scripts that could be easily used by their on-site data engineering team. Due to access restrictions, the offshore support team couldn’t be granted direct edit access to the BigQuery environment.
Approach
Our team:
1. Requested read-only access to BigQuery tables and views.
2. Developed sample SQL queries based on the available schema and shared them with the on-site engineering team for execution.
3. Conducted a training session and live walkthrough of the BigQuery console to upskill the on-site data team.
Solution Overview
The approach ensured effective remote collaboration without compromising data security or access controls.
The shared queries were structured for quick execution, enabling the client’s team to scale similar data pulls across multiple properties.Business Impact
• Delivery timelines were met, ensuring smooth project continuity. • The on-site team reused the BigQuery templates across other lines of business, increasing internal efficiency and reducing turnaround time.
35% Tracking Uplift Through GA4 Analytics Audit for a BFSI Client
Completion Date: November 15, 2024
Category: Analytics Audit & Optimization
Tools Used: Google Analytics 4 (GA4), Google Tag Manager (GTM)
Objective
To identify tagging gaps across the client’s BFSI website and ensure that every key user action was being accurately tracked within GA4.
Approach
Our team conducted a comprehensive GA4 analytics audit, covering the following key areas:
• GA4 Account Structure Audit
• GA4 User Access Audit
• GA4 Page Audit (refer to attached screenshot)
• GA4 Setup Audit
• GA4 Data Audit
• Scripts Audit
• App Audit
• GTM Configuration Audit
Based on the findings, we developed a detailed set of recommendations to improve tracking completeness and data accuracy.
Outcome
The audit resulted in a 35% uplift in tracking coverage, providing the client with a more reliable data foundation for performance measurement and marketing attribution.
95% Tracking Accuracy Achieved Adobe Analytics Implementation for a New Business Domain
Completion Date: July 15, 2024
Category: Data Analysis & Testing
Tools Used: Adobe Analytics, Adobe Experience Manager
Objective
The client had recently acquired a new line of business (LOB) and required the implementation of Adobe Analytics on the new domain to ensure consistent tracking and reporting across all properties.
Approach
The project was divided into four key phases:
1. Strategy: Defined tracking requirements and KPIs aligned with the client’s business goals.
2. Implementation: Configured Adobe Analytics and deployed tracking codes across the new domain.
3. Validation: Conducted comprehensive testing to ensure accurate data collection and tag firing.
4. Reporting: Built customized dashboards and reports for performance monitoring.
Outcome
Achieved 95% tracking coverage post-implementation, enabling the client to make data driven decisions across their expanded business portfolio.