May 24, 2024 1343 reads

Write e-commerce Purchases to Firestore with sGTM

Server-side Google Tag Manager (sGTM) offers enhanced flexibility and security for tracking and handling data in your e-commerce applications. One powerful application of sGTM is writing purchase data directly to Firestore, Google Cloud's NoSQL database. This blog post will walk you through the process of setting up sGTM to capture e-commerce purchases and store them in Firestore.Step 1: Creating a New Server-side Google Tag Manager (sGTM) TemplateIn this step, you'll create a custom template in your server-side Google Tag Manager (sGTM) container. This template will define the logic for capturing e-commerce purchase events and sending the data to Firestore. By creating a reusable template, you streamline the process of handling and managing purchase data across your e-commerce platform.You can use this code to accessing write and read data to Firestore from sGTM.const Firestore = require('Firestore');const Object = require("Object");const getTimestampMillis = require("getTimestampMillis");let writeData = { timestamp: getTimestampMillis()};if (data.customData && data.customData.length) { for (let i = 0; i < data.customData.length; i += 1) { const elem = data.customData[i]; if (elem.fieldValue) { writeData[elem.fieldName] = elem.fieldValue; } else { Object.delete(writeData, elem.fieldName); } }}const rows = writeData;Firestore.write('', rows, { projectId: '', merge: true,}).then((id) => { data.gtmOnSuccess();}, data.gtmOnFailure);Step 2: Configuring the Firestore DatabaseOpen Google Cloud Console: Navigate to the Firestore section. Create Database: Follow the prompts to set up a Firestore database in "production mode" or "test mode" based on your requirements.You may also create a new rule like this while you are running test mode:  rules_version = '2';service cloud.firestore { match /databases/{database}/documents { match /{document=**} { allow read, write: if request.auth != null; } }}Now you can send the any purchase data to Firestore like this:  Contact us for more use cases using server-side Google Tag Manager. 

May 7, 2024 1071 reads

Preparing for Privacy Sandbox: What is CHIPS?

With Google's postponement of the Cookie phase-out process to the first quarter of 2025, many brands and digital marketers must take full advantage of the Privacy Sandbox and the transition process.That’s why in the first post of our new blog series, we’ll briefly introduce CHIPS within the scope of the Privacy Sandbox.CHIPS, or Cookies Having Independent Partitioned State, gives developers the ability to include cookies in partitioned storage, enhancing user privacy and security through separate cookie jars for each top-level site.Without partitioning, third-party cookies allow services to track users and combine their information across unrelated top-level sites — a practice known as cross-site tracking.Browsers are moving toward phasing out unpartitioned third-party cookies. When third-party cookies are blocked, CHIPS, Storage Access API, and Related Website Sets will be the only options for reading and writing cookies in cross-site contexts like iframes. (We’ll cover those later.)Partitioning is currently supported only in Chrome and Edge browsers. It’s not yet available in Firefox or Safari.For example, imagine you have a website named retail.example and you want to integrate a widget hosted on support.chat.example, a third-party service, to support your users via chatbot.Many embedded chat services already rely on cookies to track user actions.Without cross-site tracking adjustments, support.chat.example typically has to find more complex alternatives to store those cookies. Another option might involve embedding it on retail.example with higher privileges—such as access to authentication cookies—which comes with security and legal risks due to potential exposure of PII (Personally Identifiable Information).This is where CHIPS comes in, offering an easier way to continue using cross-site cookies without the risks associated with unpartitioned cookies.So, Where is CHIPS Used?CHIPS generally applies to any cross-site scenario where subresources require a session or persistent state specific to the user’s interaction within a single top-level site. Common use cases include: Embedded third-party chat widgets Embedded third-party map widgets Embedded third-party payment method widgets Subresource CDN load balancers Headless CMS providers Third-party CDNs using cookies to serve gated content depending on authentication status on the first-party site (e.g., social media profile images hosted on third-party CDNs) Remote API endpoints that depend on cookies Embedded ads that need publisher-specific state (e.g., capturing ad preferences per website) More info:https://developers.google.com/privacy-sandbox/3pcd/chips If you’d like to learn more about cookieless measurement beyond Privacy Sandbox, take a look at our AnalyticaHouse Cookieless project.

Apr 25, 2023 1583 reads

Business Intelligence Reporting: Revolutionizing Digital Marketing Strategies

Are you leveraging the power of data to optimize your digital marketing strategy? Business intelligence (BI) reporting is an essential component for any business to grow and thrive in today's data-driven world, especially in the digital marketing field. This article will explore the ins and outs of business intelligence reporting, its importance for digital marketers, and how it can be used to make data-driven decisions using tools like Looker Studio, BigQuery, GA4, Google Ads, and Facebook Ads. The Concept of Business Intelligence ReportingBusiness intelligence reporting refers to the process of collecting, analyzing, and presenting actionable insights from data to support decision-making in a business setting. It helps organizations gain a better understanding of their performance, identify opportunities for growth, and pinpoint areas that need improvement. In the digital marketing arena, BI reporting is critical for optimizing marketing campaigns, measuring ROI, and ensuring that resources are allocated effectively.Importance of Business Intelligence Reporting in Digital MarketingOrganizations must be agile and responsive to keep one step ahead of the competition given how quickly the digital marketing landscape is changing.  Business intelligence reporting plays a pivotal role in achieving this by: Guiding Marketing Strategies: Data-driven insights can reveal trends and patterns that inform the direction of your marketing efforts, enabling you to make better decisions and achieve desired results. Improving Campaign Performance: Analyzing performance data allows you to identify high-performing channels and campaigns, which can then be scaled to maximize ROI. Enhancing Customer Targeting: By analyzing customer data, marketers can develop a deeper understanding of their target audience, enabling them to create more personalized and relevant messaging for improved engagement. Boosting Budget Efficiency: Through BI reporting, marketers can identify underperforming campaigns and make necessary adjustments, thereby reducing the wastage of resources and ensuring that marketing spend is allocated optimally.Tools for Business Intelligence Reporting in Digital MarketingTo harness the power of business intelligence reporting, digital marketers need a suite of tools that allow for seamless data collection, analysis, and visualization. Some of the most popular tools for BI reporting in digital marketing include: Looker Studio: A visualization tool by Google, Looker Studio allows users to create interactive reports and dashboards that consolidate data from various sources like Google Analytics, Google Ads, and BigQuery. With its user-friendly interface, digital marketers can easily visualize and share insights with their teams. BigQuery: A Google Cloud Platform service, BigQuery is a powerful data warehousing solution that enables users to store, manage, and analyze large volumes of data. It is particularly useful for digital marketers who need to process and analyze vast amounts of data from multiple sources quickly. GA4 (Google Analytics 4): As the latest iteration of Google Analytics, GA4 offers advanced features and machine learning capabilities that enable marketers to track user engagement, conversions, and other important metrics across their digital platforms. Google Ads: The go-to platform for running search and display advertising campaigns, Google Ads provides detailed performance data that can be analyzed to optimize campaigns for better ROI. Facebook Ads: With billions of users worldwide, Facebook is an essential platform for digital advertising. Facebook Ads Manager offers comprehensive reporting and analytics tools to help marketers track and optimize their campaigns.Best Practices for Enhanced Decision-making with Business Intelligence ReportingTo make the most of business intelligence reporting in digital marketing, marketers should adopt the following best practices: Integrate Data Sources: Consolidate data from multiple sources, such as Google Ads, Facebook Ads, and Google Analytics, to create a comprehensive view of your marketing performance. This holistic approach enables marketers to derive meaningful insights and develop well-informed strategies. Set Clear KPIs: Establish key performance indicators (KPIs) that align with your marketing goals and objectives. Monitor and analyze these KPIs regularly to measure progress and identify areas for improvement. This ensures that your marketing efforts remain focused on achieving the desired outcomes. Automate Reporting: Leveraging tools like Looker Studio to automate the reporting process saves time and ensures that data is consistently updated and accurate. This allows digital marketers to focus on analyzing insights and making data-driven decisions rather than getting bogged down with manual reporting tasks. Utilize Advanced Analytics Techniques: Employ advanced analytics techniques, such as predictive modeling and machine learning, to uncover hidden patterns and trends that can inform your marketing strategies. These cutting-edge methods can provide a competitive advantage by revealing untapped opportunities and enabling more precise targeting. Foster a Data-driven Culture: Encourage collaboration and data-driven decision-making across your organization by sharing insights and fostering open communication. This creates an environment where everyone is working towards the same goals and using data to make informed decisions. Continuously Optimize: Regularly review and analyze your BI reports to identify opportunities for improvement and optimization. Adjust your marketing strategies and tactics accordingly to maximize ROI. By staying agile and adaptive, digital marketers can ensure their campaigns remain effective in the ever-evolving digital landscape. ConclusionBusiness intelligence reporting is a game-changer for digital marketing professionals, enabling them to make data-driven decisions that drive growth and success. By leveraging tools like Looker Studio, BigQuery, GA4, Google Ads, and Facebook Ads, digital marketers can gain a comprehensive understanding of their performance, optimize campaigns, and allocate resources more effectively.Embrace the power of BI reporting and watch your digital marketing strategy reach new heights. In an increasingly competitive digital marketing environment, businesses cannot afford to ignore the insights and advantages offered by BI reporting. The ability to stay agile and adapt to market changes will be the determining factor in the success of your digital marketing efforts. Embracing the power of business intelligence reporting will equip your organization with the tools needed to navigate the complexities of the digital marketing landscape and achieve new heights of success.As digital marketing continues to evolve, so will the capabilities of BI reporting tools and technologies. Stay ahead of the curve by continually investing in your knowledge and understanding of BI reporting and analytics. Doing so will ensure that you remain well-prepared to capitalize on the ever-changing opportunities presented by the digital marketing world.

Apr 24, 2023 1209 reads

Universal Analytics Attribution Models

Attribution models are essential tools in digital marketing for understanding the impact of marketing activities, optimizing budgets, developing strategies, gaining customer insights, measuring performance, evaluating different channels’ contributions, and making data-driven decisions.By choosing the right attribution model, you can make your marketing efforts more efficient and effective, thereby increasing the success of your marketing strategy.To select the appropriate attribution model, you need to understand the models available in Universal Analytics and Google Analytics 4.What Is Attribution Modeling?Attribution modeling is a method used in digital marketing and advertising to assess the contribution of various marketing channels during a customer’s conversion journey. It determines which channels were most effective before a user completes a purchase or conversion.In digital marketing, multiple channels—organic search, paid search, social media, email marketing, referral traffic, content marketing, and interactive ads—often contribute in sequence to a single conversion. Attribution models evaluate these complex interactions to reveal each channel’s weight in driving that conversion.In short, attribution models provide valuable insights for budget allocation, strategy optimization, channel performance analysis, conversion path tracking, and understanding customer behavior.Why Are Attribution Models Important in Digital Marketing?When used correctly, attribution models offer marketers critical analytical insights into the effectiveness and return on investment of their campaigns. This empowers them to understand performance, optimize budgets, refine strategies, gain customer insights, measure ROI, evaluate channels, and make informed decisions.Common Attribution ModelsGoogle Analytics provides several built-in attribution models: Last Interaction (Last Click) Last Non-Direct Click Last Google Ads Click First Interaction (First Click) Linear Time Decay Position-Based Last Interaction (Last Click)The Last Interaction model attributes 100% of the conversion value to the final click or interaction before conversion, ignoring all earlier interactions. It assumes the last touchpoint is the most important, but it can overlook the influence of previous channels in the customer journey.Last Non-Direct ClickThis model gives full credit to the last click or interaction that was not “direct” traffic, and it ignores any direct visits. It’s useful for understanding the impact of non-direct channels, but like Last Interaction, it disregards earlier touches.Last Google Ads ClickThe Last Google Ads Click model assigns all conversion credit to the last Google Ads click. It’s ideal for measuring paid search performance but ignores contributions from other channels.First Interaction (First Click)First Interaction attributes all conversion value to the very first click or interaction in the customer journey. It highlights awareness channels but overlooks any later touches that may have influenced the final conversion.LinearThe Linear model distributes credit equally across every touchpoint in the conversion path. It provides a balanced view but may mask the true impact of especially crucial interactions.Time DecayTime Decay gives more credit to interactions closer in time to the conversion. Early touches get less weight, emphasizing the last steps in the journey.Position-BasedThe Position-Based model assigns 40% of the credit to both the first and last interactions, and the remaining 20% is evenly split among the middle interactions. This highlights both awareness and conversion touchpoints but gives less weight to in-between channels.Which Attribution Model Does Universal Analytics Use by Default?By default, Universal Analytics uses the Last Interaction (Last Click) attribution model. That means every conversion is attributed to the last channel the user clicked before converting, and all other channels are ignored.In our next article, we’ll examine Google Analytics 4 and its attribution model options.

Apr 16, 2023 6108 reads

What is Google Tag Manager? How to set up GTM?

"When someone asks 'What is Google Tag Manager?', our article aims to answer this more easily by also covering how to add GTM codes in panels like WordPress, Ticimax, and T-Soft, and we hope it will be useful for you.What Is Google Tag Manager (GTM)?Google Tag Manager is an online tool used to add analytics, marketing, and other code snippets to websites. Often abbreviated as "GTM," it makes it easier for digital marketers and web developers to add and manage code on their sites without directly editing the source code.Instead of traditional code edits, Google Tag Manager provides a user-friendly interface for adding code snippets. This approach reduces the need for developer intervention and offers a flexible way to manage quick code changes—making GTM a major advantage in any toolkit.GTM can manage Google Analytics, Google Ads, Meta Pixel, Hotjar, Microsoft Clarity, and many other marketing tags. These tags collect user behavior, conversions, and other analytics data. GTM allows you to easily add, edit, remove, and manage tags, making site management more efficient.It can also handle A/B tests, targeting, personalization, and other marketing efforts, giving site owners and marketers the flexibility and control to optimize their sites effectively.In short, Google Tag Manager is a tool that simplifies and centralizes tag management for analytics and marketing, streamlining website management processes.Why Is Google Tag Manager Important and What Are Its Benefits?GTM offers many benefits to site owners and analysts: Easy Code Management: Simplifies adding and updating code snippets via a user-friendly interface, reducing reliance on developers. Fast Tag Management: Quickly add, edit, remove, or manage analytics and marketing tags such as Google Analytics, Google Ads, Facebook Pixel, Hotjar, speeding up campaign launches and optimizations. Flexibility & Control: Specify which pages, events, or user segments trigger each tag, enabling personalized strategies and optimized user experiences. Rapid Testing & Optimization: Supports A/B testing, targeting, and personalization, allowing marketers to test variations and continuously improve site performance. Data Accuracy & Reliability: Ensures tags fire correctly, reduces configuration errors, and increases data reliability for better decision-making. Quick Updates: Update tags without changing site code, keeping your site current and secure. Team Collaboration: Multiple users can work in the same container, with version history and change tracking to support collaborative workflows. How to Install Google Tag Manager (GTM)?Follow these steps to set up GTM:Step 1: Create a GTM Account Go to https://tagmanager.google.com and sign in. Click “Create New Account.” Enter the account name, country, and time zone. Accept the terms and click “Create.” Log in to your new GTM account. Step 2: Create a Container Within your GTM account, create a container (the workspace for tags, triggers, and variables). Name it and choose the target platform (Web, iOS, Android). Click “Create.” Step 3: Add Container Code to Your Site After creating the container, copy the code provided from “Install Google Tag Manager.” Paste the code immediately above the opening tag on every page of your site. Save changes and publish your site. Step 4: Add Tags, Triggers, and Variables Return to your GTM container. Use the “Tags” tab to add tags, “Triggers” for firing rules, and “Variables” for dynamic values. Click “New,” choose the tag type, configure settings, and publish. Step 5: Publish Your Setup After adding tags, triggers, and variables, save changes and click “Submit” to publish. How to Install GTM in Ticimax?To add GTM code in Ticimax:Step 1: Log in to Ticimax Go to https://panel.ticimax.com/ and log in. Step 2: Site Management In the panel, go to “Site Management” and select your site or create one. Step 3: Settings Click “Settings,” then go to “General Settings” > “Digital Marketing.” Step 4: Add the GTM Code Paste the container code into the “Google Tag Manager (GTM) Code” field. Click “Update.” Step 5: Verify on Your Site Visit any page, view the source (right-click > “View Page Source”), and confirm the GTM code is present. How to Install GTM on WordPress?In your WordPress admin panel: Go to “Appearance” > “Theme Editor.” Select header.php, locate the opening tag, and paste the GTM code immediately after it. Save changes and verify on your site. How to Install GTM in T-Soft?In your T-Soft panel: Log in and navigate to “Settings” > “Main Settings” > “Tracking Codes.” Click “+ New,” paste the GTM code, and save. What Are the Components of GTM?Key GTM components include:TagCode snippets that perform specific functions, such as Google Analytics tracking code, Meta Pixel, or AdWords conversion tracking.TriggerConditions that determine when tags fire, such as page views, form submissions, or button clicks.VariableDynamic values used by tags and triggers, such as page URL, page title, or form field values.How to Preview in GTM?After setting up an event in GTM, always use Preview mode to verify correct implementation.

Apr 16, 2023 3288 reads

What are cookies? What do they do?

Cookies are small data files collected via users’ browsers on websites. These files are used to track and analyze how users interact with a site. That’s why cookies are so important in the analytics world: they help measure site performance, understand user behavior, and improve the site.Here, we’ve compiled everything you need to know and all the frequently asked questions about cookies.What Are Cookies?Cookies are small text files that a web browser stores on a user’s device.These files allow websites to track users’ preferences and behavior, deliver personalized content and services, ensure proper functionality, enhance security, and identify areas for improvement through performance analysis.For example, a site can store a user’s login credentials in a cookie so that when the user returns, they are automatically signed in. You may know that Google announced in January 2020 that Chrome and its other products would phase out third-party cookies. That date was ultimately pushed to mid-2024 because Privacy Sandbox is still in testing.Privacy Sandbox is Google’s privacy-focused ad initiative for Android that replaces third-party cookies. To predict how a cookieless digital marketing world will look, we first need to understand what cookies are and their types.What Are First-Party Cookies? First-party cookies are small data files set under the site’s own domain when a user visits. They are created via the browser and used on later visits. They measure site performance, manage user sessions, remember preferences, and help improve the site. For example, they can recall a visitor’s language choice or site theme for faster access. Because first-party cookies are limited to a single domain, they help protect privacy and provide a more secure browsing experience. What Are Third-Party Cookies? Third-party cookies are set by a different domain than the one the user is visiting, delivered by an external server and stored in the browser. They are used for advertising and marketing. For example, an ad network uses third-party cookies to determine user interests and serve relevant ads across sites. They can threaten user privacy, so browsers offer blocking options, and regulations like GDPR and CCPA restrict their use. Site owners may limit or disable third-party cookies to protect privacy rights. Why Cookies MatterThird-party cookies play a crucial role in digital advertising. Advertisers rely on them to define target audiences and build accurate consumer profiles during campaign planning. User Experience: Cookies track preferences and behavior to deliver personalized content and services. For example, remembering cart items or language settings enhances the experience. Marketing Strategies: Cookies enable marketers to analyze behavior, segment users, create targeted campaigns, and optimize strategies with personalized offers. Site Performance: Cookies help monitor which pages are most visited, what content is most effective, and which devices are used, guiding performance improvements. Conversion Tracking: Cookies verify conversions—such as purchases or form submissions—and measure campaign effectiveness. The data collected is often used in retargeting and display advertising campaigns, underscoring cookies’ importance. Third-party cookies track user behavior over time by storing data on their device. This enables personalized ads for previously viewed or interacted-with products or services. Especially in display advertising, personalized ads often outperform traditional ones, highlighting cookies’ direct impact on ad performance, analysis, and measurement. Cookie TypesCookies come in various types and serve different purposes. Common ones include: Session Cookies: Temporary cookies created during a session and deleted when the browser closes. Persistent Cookies: Remain on the device for a set period to recognize returning visitors and preserve preferences. Third-Party Cookies: Set by external domains—ad networks, analytics providers, social platforms—to track across multiple sites. Performance Cookies: Used to monitor site speed, detect errors, and track user interactions to enhance user experience. Targeting/Advertising Cookies: Deliver ads tailored to user interests and measure ad performance. Life Without Third-Party CookiesAd platforms that lose third-party data will turn to server-to-server connections or CRM integrations. But these methods can’t fully restore the current data flow or ad efficiency. Many efforts today focus on prolonging third-party cookies rather than innovating CRM-based measurement solutions.Brands will see decreased ROI from new and existing users and higher CPAs. Even if CPA remains stable, engagement metrics (bounce rate, pages per session, etc.) will likely decline. For example, Meta’s targeting algorithms won’t work without third-party cookies.On the web, analytics via Google or Adobe will also suffer data loss, leading to flawed performance metrics and misaligned attribution modeling in ad platforms.Alternative ChannelsAs third-party cookies diminish, alternative data channels grow more important. For example, login and signup data plus site search history can power targeted ads and recommendations.Email addresses can fuel email marketing, and social media profiles can support personalized advertising and suggestions.What Can We Do with Cookies?Think of cookies as a browser-stored data repository. We can capture every user action on the site, store searches and clicks in cookies for defined periods, and use that data as input for analysis. The possibilities are limited only by our imagination. First-party cookies let us create a rich dataset directly from user interactions, giving us true first-party data.Google Analytics & CookiesCookies are the cornerstone of Google Analytics’ data collection. By deploying GTM and Analytics tags, we can track every user action on the site and report on it.