7 Free GA4 (Google Analytics) Report Templates & Dashboards
Use the free Google Analytics (GA4) dashboard templates by Windsor.ai to create marketing reports and generate insights from your e-commerce web and app data.| windsor.ai
Use the free Google Analytics (GA4) dashboard templates by Windsor.ai to create marketing reports and generate insights from your e-commerce web and app data.| windsor.ai
Check out our step-by-step guides to seamlessly integrate your data into available destinations using Windsor.ai's ELT connectors.| windsor.ai
Use our free KPI tracking dashboards with no code: select a template, connect your data, and see your metrics automatically visualized in under 2 minutes.| windsor.ai
Without marketing data analytics, assessing the success of advertising efforts becomes a blind process, leading to inefficiency and potential negative outcomes. Some companies can experience success without analytics, attributing it to luck. However, understanding the reasons behind successful campaigns or identifying issues in case of failure becomes elusive without proper analytics. So what is marketing… Read More »What is marketing data analytics and why do you need it?| windsor.ai
Explore our free SEO dashboards for international and local businesses, select the most suitable template, and set it up in just a few clicks.| windsor.ai
Explore 100+ free sales reporting templates with a no-code setup. Choose the right template, link your data, and start visualizing insights in minutes.| windsor.ai
Connect to the Marketing Automation Dashboard Templates created by Windsor.ai to increase your productivity and generate marketing reports faster.| windsor.ai
✓ 40+ Free Lead Generation reporting dashboards ✓ Simply select a template, connect your data, and your metric visualizations will populate automatically| windsor.ai
✓ Top 15+ Free Content Marketing reporting dashboards ✓ Simply select a template, connect your data, and your metric visualizations will populate automatically| windsor.ai
Explore some leading Whatagraph alternatives for your data transfer. See why Windsor.ai is the best competitor for your needs.| windsor.ai
Connect your Marketing and Advertising sources with our Marketing Attribution Software's data integration to get a clear view of Multi-Channel Performance.| windsor.ai
With Porter Metrics you can create dashboards, visualize data with charts and scoreboards, integrate custom metrics & formulas and build reports| windsor.ai
DataSlayer is one of the first PPC/SEM reporting solutions for clients, having been in the market for over a decade.| windsor.ai
Master Google Ads to Looker Studio integration with 3 methods: Windsor.ai no-code, Google native, and Ads Scripts for developer-level control.| windsor.ai
Discover why manual marketing reporting fails and learn how to fix five common mistakes to make your reports accurate, consistent, and reliable.| windsor.ai
In this guide, you will get a brief introduction to the concept of common Marketing Attribution Models| windsor.ai
Discover what marketing measurement is, why it’s essential, and how Windsor.ai simplifies tracking performance across all your campaigns.| windsor.ai
Learn how to automatically sync Facebook Ads with Looker Studio using Windsor.ai connector, or explore manual and developer setup options.| windsor.ai
Explore our step-by-step guide to automatically transfer your data from any source into Google Sheets with the Windsor.ai ELT connector.| windsor.ai
Do you spend more time building reports than analyzing insights? Many marketers waste hours collecting and formatting data, uploading sheets, and building Looker Studio dashboards from scratch, leaving less time for real analysis.. As a team of data analysts, we know this firsthand. Now, imagine the opposite: sync data from multiple sources into pre-built Looker… Read More »20+ Inspiring Looker Studio Dashboard Examples for Reporting and Analytics The post 20+ Inspiring Looker Studio Dash...| windsor.ai
In 2025, marketing is a high-stakes game that is fueled by data. As customer journeys run across several channels (Google Ads, Meta, LinkedIn, TikTok, and so on), relying on siloed platform analytics leaves you with fragmented insights, inconsistent metrics, and compliance risks. Creating separate dashboards for every channel is time-consuming, error-prone, and slows decision-making. The… Read More »Building a Modern Marketing Data Stack in 2025 with ELT, BigQuery & Looker Studio The po...| windsor.ai
Modern data teams today expect faster access to insights, reliable data flows, and zero downtime in their analytics pipelines. And to meet these increasing demands, you need faster data pipeline development cycles. But releasing can take a long time, particularly if your building, testing, and deployment processes are manual. Plus, you also have to set… Read More »Why Integrate CI/CD for End-to-End Data Pipeline Automation The post Why Integrate CI/CD for End-to-End Data Pipeline Automati...| windsor.ai
Getting the granularity of your data just right means picking the level of detail that actually makes sense for your analysis. Simple enough, but that’s only half the battle. Because if the data itself is incomplete or “sampled,” even the sharpest, most finely tuned report can end up leading you astray. This guide takes you… Read More »Marketing Analytics Done Right: Data Granularity and Sampling Tips with Windsor.ai The post Marketing Analytics Done Right: Data Granularity and Samp...| windsor.ai
The post Changelog: New Updates and Improvements to Windsor.ai appeared first on windsor.ai.| windsor.ai
BigQuery workloads become complex as datasets and transformations scale. Manually running pipelines slows things down and increases the chance of errors. Automating BigQuery pipelines eliminates manual triggers and mistakes, making workflows consistent, dependable, and cost-efficient. With BigQuery pipeline automation, tasks can run in parallel across datasets and regions, allowing for more efficient processing. Jobs adjust… Read More »How to Automate BigQuery Pipelines: Methods & Step...| windsor.ai
Data teams still spend far too much time on preparation rather than generating insights. According to Forrester, analysts devote nearly 70% of their time preparing external data rather than analyzing it. You can imagine how that slows down insights and blows resources. But wrangling and ingesting data doesn’t have to cover a major part of… Read More »Modern Data Stack Explained: Architecture & Must-Have Tools The post Modern Data Stack Explained: Architecture & Must-Have Tools appeare...| windsor.ai
There are hundreds of sources of marketing data, including ad platforms that track impressions and spend, CRM systems that store lead activity, analytics tools that log website or app events, and various other apps with unique APIs. Each system tells part of the story, but the whole picture can be created only when you connect… Read More »ETL/ELT for Marketing Data: Best Practices and Tech Stack The post ETL/ELT for Marketing Data: Best Practices and Tech Stack appeared first on windsor.ai.| windsor.ai
Today, marketing and data are completely tied together. Data-driven marketers are not only running ad campaigns or writing copy; they are also analyzing data to understand the effectiveness of every action taken. Marketing dashboards can help you visualize data, but the real impact comes when you can extract deeper insights from your cross-channel data by… Read More »5 Advanced SQL Queries Every Marketer Should Master in BigQuery The post 5 Advanced SQL Queries Every Marketer Should Mas...| windsor.ai
Data pipelines and the broader data stack topic can be complex and overwhelming. Knowing clear, concise explanations of key terms ensures everyone, from analysts and engineers to marketing teams and clients, stays on the same page. A well-defined data pipeline glossary is more than just a reference: it’s an educational framework that reduces misunderstandings, speeds… Read More »Data Pipeline Glossary: 40+ Terms Data Teams Must Know The post Data Pipeline Glossary: 40+ Terms Data Teams ...| windsor.ai
Is your company relying on multiple SaaS solutions to enhance business productivity? Then, most likely, you’ve faced a challenge of data fragmentation. According to the IBM Data Differentiator, 82% of enterprises report that data silos disrupt their critical workflows, and 68% of enterprise data remains unanalyzed. All these problems occur due to fragmented data. And… Read More »Why Fragmented Marketing Data Is Killing Performance and How to Fix It The post Why Fragmented Marketing Da...| windsor.ai
Raw Salesforce data can be messy and difficult to work with. Data silos and time-consuming manual reporting often prevent teams from building a clear view of their Salesforce campaign performance. With the combined power of Windsor.ai, dbt, and BigQuery, you can free your team from hours of cleaning and joining data, so they can focus… Read More »dbt + BigQuery for Salesforce: Build a Complete Campaign Funnel Analytics Layer (Free Package) The post dbt + BigQuery for Salesforce: Build a...| windsor.ai
ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) are the key elements of modern data workflows, moving raw data from multiple sources into warehouses or other destinations. Previously, data pipelines required engineers and custom SQL, slowing and complicating the process. No-code ELT/ETL tools like Windsor.ai change the game by letting teams build complex data… Read More »No-code ELT/ETL: 10X Faster Data Pipelines with Windsor.ai The post No-code ELT/ETL: 10X Faster Data ...| windsor.ai
BigQuery handles massive datasets efficiently and quickly. But speed isn’t everything. You still need an ELT tool that moves, shapes, and loads data without slowing things down. In 2025, the stakes are higher. Businesses deal with an increasing number of data sources, lower latency, and stricter compliance requirements. The right ELT tool, meaning Extract, Load,… Read More »Top ELT Tools for BigQuery in 2025: Features, Pricing, Use Cases The post Top ELT Tools for BigQuery in 2025: Feat...| windsor.ai
Every transaction, customer interaction, and system update contributes to the constant surge of enterprise data. Businesses now deal with petabytes of information streaming in from applications, devices, and platforms. In theory, this gives leaders unprecedented visibility. In reality, that data is often fragmented, stuck in silos, or inconsistent across systems, which makes it difficult to… Read More »The Future of Data Integration: How AI Will Transform This Area The post The Future of ...| windsor.ai
Data ingestion and wrangling shouldn’t be the major time consumers in your workflow. Instead, data-driven teams should allocate most of their time and effort to comprehensive analytics and insights. With the powerful combination of Windsor.ai x Databricks, streaming and unifying cross-channel data in the Databricks environment is easier and faster than ever. As a leading… Read More »Windsor.ai Becomes Validated Technology Partner with Databricks to Supercharge Analytics with No-Code ELT...| windsor.ai
Every mobile app owner wants to achieve growth, but most don’t clearly understand what actually drives app success. Downloads look good on paper, but without knowing how users behave inside the app, those numbers mean little. Are people dropping off during onboarding? Do they abandon sessions halfway through? Is performance worse on certain devices? Mobile… Read More »Mobile Data Analytics: Key Metrics and Tools to Drive App Growth The post Mobile Data Analytics: Key Metrics and Tools...| windsor.ai
Traditional backup methods can hardly keep up with today’s cloud-native workloads, where countless syncs and transformations happen across platforms. That’s exactly what we’ll cover in this post: the real-world challenges of cloud data recovery and the best practices to mitigate them. Read on to learn how to build a robust data recovery strategy that won’t… Read More »How to Design Recovery-Ready Cloud Data Pipelines (Before It’s Too Late) The post How to Design Recovery-Ready C...| windsor.ai
Raw Facebook Ads data in BigQuery is messy. Table structures differ between campaigns. Metric definitions often change over time. This makes consistent reporting difficult. Analysts often rework SQL just to get CTR (click-through rate), ROAS (return on ad spend), or CPC (cost per click) right. Inconsistent models force marketing teams to work with dashboards that… Read More »How to Build a Clean Facebook Ads Reporting Layer in BigQuery with dbt (Free Package) The post How to Build a Clean...| windsor.ai
Selecting the right data warehouse architecture is crucial for how efficiently your organization can store, access, and analyze data. Today, businesses typically choose from three core models: Cloud data warehouses On-premise (on-site) solutions Hybrid architectures Cloud data warehouses are the most modern and rapidly adopted option, thanks to their scalability, lower upfront cost, and ease… Read More »Cloud vs On-Prem vs Hybrid: Comparing Data Warehouse Architectures The post Cloud vs O...| windsor.ai
If you work with cross-channel data, from marketing and sales to finance and product, centralizing everything in one place is crucial for accurate insights and business success. Google BigQuery is a great choice for data centralization; it’s fast, serverless, and handles massive datasets with ease without the hassle of infrastructure maintenance. But here’s the challenge:… Read More »How to Build an ELT Pipeline into BigQuery: Top Methods and Tips The post How to Build an ELT Pipeline...| windsor.ai
Donors today engage across multiple channels like email, website, social media, etc., each offering a chance to inspire or a risk to lose connection. Navigating this complexity requires more than hope; it requires data-driven precision. Personalization and predictive analytics bridge this gap, empowering nonprofits with the insights to anticipate donor needs and deliver tailored experiences… Read More »Reimagining Donor Journeys with Predictive Analytics and Personalization The post Rei...| windsor.ai
The importance of data integration in enhancing business intelligence is best captured by how big it has grown over the years. Based on a recent survey, the data integration market size is projected to hit 22.1 billion by 2027. This is huge. It shows that data integration is a game-changer as far as business intelligence… Read More »How Data Integration Enhances Business Intelligence The post How Data Integration Enhances Business Intelligence appeared first on windsor.ai.| windsor.ai
When evaluating ELT (Extract, Load, Transform) tools, the core priorities often come down to reliable data pipelines, fast setup, and extensive scalability. Depending on your business size and goals—whether you’re a non-technical marketing team or an enterprise-level data operation—choosing the right platform can significantly impact your workflow. In this article, we compare two well-regarded options:… Read More »Windsor.ai vs Fivetran: In-Depth Comparison of Top ELT Platforms The ...| windsor.ai
Generating human-like voices using prompts has gained immense traction in recent years. With a staggering market size valuation of $3.29 billion in 2025, AI voice cloning is no longer an undervalued concept. Just like other AI-powered technologies, it also relies on deep learning algorithms. Owing to this, efficient data management lays the cornerstone for voice… Read More »How Voice Cloning Relies on Effective Data Management Behind the Scenes The post How Voice Cloning Relies on Effecti...| windsor.ai
Every click, scroll, and search your customer makes adds to a never-ending flow of business data. Every day, people generate 2.5 quintillion bytes of data. In theory, it gives business owners and analysts more visibility than ever. However, here also lies a problem. That data is scattered across dozens of platforms, and sometimes it’s very… Read More »Top 7 Data Integration Challenges and How to Deal with Them The post Top 7 Data Integration Challenges and How to Deal with Them appeared...| windsor.ai
Most modern tech stacks involve multiple data sources — campaign data, CRM records, web events, spreadsheets, and more. To make sense of it all, you need to aggregate and analyze the data in one place. That’s where ELT (Extract, Load, Transform) pipelines come in, letting you pull in the raw data first, then clean it… Read More »Top ELT Tools in 2025 for Agencies, Analysts & Data Engineers The post Top ELT Tools in 2025 for Agencies, Analysts & Data Engineers appeared first on windsor...| windsor.ai
Do you have trouble determining how to accurately attribute your marketing activities? Many others also go through this challenge. Now, 57.9% of marketers are using a marketing attribution tool. However, they still do not always gain the kind of actionable insights they seek. This is because these days, the path to accurate marketing attribution can… Read More »4 Common Marketing Attribution Mistakes (And How to Fix Them) The post 4 Common Marketing Attribution Mistakes (And How to Fix Th...| windsor.ai
At Windsor.ai, we’re all about turning your data into actionable insights. Now, we’re excited to introduce Windsor’s MCP (Model Context Protocol) — a powerful tool that helps you interpret, explore, and extract insights from the data you’ve already integrated with Windsor.ai. Whether you’re a marketing analyst or a data engineer, this AI bridge enables smarter… Read More »Introducing Windsor MCP: AI-Powered Insights from Your Integrated Data The post Introducing Windsor MCP: A...| windsor.ai
Are your programmatic campaigns running across multiple platforms, and you still lack a clear vision of how things are really going? Programmatic advertising is a way to buy and sell ads using special platforms automatically. It uses data and algorithms to show ads to the right people at the right time. However, a single clear… Read More »The Best Way to Perform Analytics for Programmatic Advertising Platforms The post The Best Way to Perform Analytics for Programmatic Advertising Platfor...| windsor.ai
Metadata is one of the most crucial components in today’s time, especially for data management and analytics. Proper metadata management can help businesses get critical content and ensure that it is used efficiently. However, numerous companies today are struggling with the implementation of metadata management because of a lack of strategic importance. A study by… Read More »Metadata Management Best Practices for Data Teams The post Metadata Management Best Practices for Data Teams ap...| windsor.ai
Data is everywhere, and yet many still struggle to use it effectively. At the same time, 73% of business leaders believe that integrated data reduces uncertainty and leads to better decisions. But here’s the catch: getting your data in one place, clean and usable, is often where things fall apart. That’s where ETL (Extract, Transform,… Read More »ETL vs ELT Pipelines: Choosing the Right Data Integration Strategy The post ETL vs ELT Pipelines: Choosing the Right Data Integration Strate...| windsor.ai
Have you ever struggled to unify data from multiple channels or extract deeper insights from raw datasets? You’re not alone—many marketing analysts and data engineers face the same challenge. The good news is that you can use Google BigQuery to significantly simplify this process. As a fully managed, serverless data warehouse, it lets you connect… Read More »What Is BigQuery? The Ultimate Guide for Marketing Analysts and Data Engineers The post What Is BigQuery? The Ultimate Guide for...| windsor.ai
A customer bounces from Instagram Reels to Google Shopping, checks prices on Amazon, opens an email, and, maybe, buys on your Shopify store. That’s five micro-moments, across five platforms, before they even hit “add to cart.” Now multiply that by every SKU, every audience segment, and every campaign. That’s why you cannot single out a… Read More »5 Ways to Perform Omnichannel Marketing Analytics for E-commerce The post 5 Ways to Perform Omnichannel Marketing Analytics for E-com...| windsor.ai
These days, companies generate over 328 million terabytes of data daily. That’s a massive amount — and managing, shaping, and making value of that data is essential if you want accurate reports, always up-to-date insights, and effective data-driven decisions. That’s where ELT (Extract, Load, Transform) pipelines come in. ELT is a data integration method where… Read More »What’s an ELT Data Pipeline? Benefits, Challenges, and Automation The post What’s an ELT Data Pipeline? Benef...| windsor.ai
Today, the most successful companies are powered by data. Businesses use customer data to understand what their customers need and create products and services that can meet those customer expectations. They also need customer data to run targeted ads. Ad platforms also provide rich performance data that can be used for decision-making. You also have… Read More »How to Excel in Master Data Management: Best Practices and Examples The post How to Excel in Master Data Management: Best Practi...| windsor.ai
You did everything correctly: Adopted the right branding strategies Used effective marketing techniques Implemented the best sales practices to hit your targets But are you still struggling to convert leads into customers? The issue likely lies in your customer acquisition funnel. Want to know how to fix it? Keep reading to learn what a customer… Read More »How to Create a Successful Customer Acquisition Funnel The post How to Create a Successful Customer Acquisition Funnel appeared first...| windsor.ai
Is your data scattered all over the place, coming from different sources and getting lost in various silos across your organization? If yes, then you might better understand how tough managing data is without pipeline orchestration, and if not, you should definitely know what this process is. But if you feel like you’re the only… Read More »What Is Data Pipeline Orchestration and Why Does It Matter for Developers? The post What Is Data Pipeline Orchestration and Why Does It Matter for...| windsor.ai
If you’re running Facebook advertising campaigns, accurately evaluating their performance is essential. Since Meta’s built-in tools can be limited, many turn to external solutions for deeper insights to better optimize campaigns and ad spend. That’s where Google BigQuery comes into play. BigQuery is a powerful data warehouse that streamlines the storage and analysis of large… Read More »How to Integrate Facebook Ads into BigQuery: Top 3 Methods The post How to Integrate Facebook Ads...| windsor.ai
Salesforce provides a wealth of information regarding your business’s sales, marketing, and customer support activities. However, you might find its native analytics somewhat limiting, especially when it comes to custom formulas or predictive capabilities. Therefore, if you want to extract deeper insights, pairing Salesforce with a more powerful analytics platform, such as BigQuery, can be… Read More »How to Send Salesforce Data to BigQuery: Top Methods and Tips The post How to Send S...| windsor.ai
Do you think that collecting customer data is like striking oil—limitless riches with every click? That can be true until the regulatory equivalent of the EPA shows up wielding billion-dollar fines. From Europe’s GDPR to California’s CCPA (and new copycat laws emerging faster than TikTok trends), the privacy landscape continues to tighten its grip on… Read More »GDPR, CCPA, and Beyond: Staying Compliant in a Data-Driven World The post GDPR, CCPA, and Beyond: Staying Compliant in a...| windsor.ai
A sense of mystery and challenge is both a blessing and a curse for business decision-makers. However, no matter how much you enjoy embracing uncertainty and pushing your limits, this mindset has nothing to do with intentionally keeping yourself in the dark. Especially when all the data-rich tools for your business are one click away.… Read More »How AI Enhances Data-Driven Decision Making The post How AI Enhances Data-Driven Decision Making appeared first on windsor.ai.| windsor.ai
Shopify’s built-in analytics make it easy to manage your online store by tracking sales trends, customer behavior, product performance, and order data. However, when it comes to large-scale reporting or deeper business intelligence, its native capabilities often fall short. That’s where Google BigQuery comes in—a powerful cloud data warehouse designed to handle large datasets with… Read More »How to Integrate Shopify Data into BigQuery: Top Methods and Pro Tips The post How to Integ...| windsor.ai
Seconds count in ad tech. Delaying even a few hours to make decisions based on data received will cost a company money, customers, and a competitive advantage. Hence, real-time data synchronisation is indispensable today as it allows the marketing team to make decisions based on up-to-date, complete, and accurate information rather than going in blind. … Read More »Real-Time Data Synchronization: A Game Changer for Ad Tech The post Real-Time Data Synchronization: A Game Changer for Ad Te...| windsor.ai
CTV has quickly become a major channel for reaching audiences, but measuring its impact still lags behind. Brands run campaigns, impressions rack up, and then…attribution gets muddy. Maybe search traffic ticks up. Maybe Meta claims the win. But there’s little clarity, and even less control. That’s why we’re excited to announce our new integration with… Read More »Keep Track of Your CTV Performance with Windsor.ai and Vibe.co Integration The post Keep Track of Your CTV Performance ...| windsor.ai
Organizations generate vast amounts of data. This data can be classified broadly into structured and unstructured data. Structured data present in rows and columns is easy to analyze, whereas unstructured data does not have a predefined format and usually requires advanced artificial intelligence (AI) tools to extract useful information from raw data. This guide explores… Read More »Unlock Unstructured Data with AI: The Ultimate 2025 Guide The post Unlock Unstructured Data with AI: The Ul...| windsor.ai
Pulling campaign and customer data from HubSpot via its APIs or built-in tools can work well for basic reporting, but when it comes to large-scale, advanced analytics, HubSpot’s native capabilities often fall short. This is where Google BigQuery comes in: a fully managed data warehouse that handles massive datasets, enables scalable querying, provides deep insights… Read More »How to Integrate HubSpot Data into BigQuery: Top Methods and Best Practices The post How to Integrate HubSpot D...| windsor.ai
We just crossed the 4,000‑customer mark. It’s a big moment. We’re bootstrapped. We’re 100 % remote. And we’re growing faster than ever. Why the graph keeps climbing Database destinations took off. Teams want their marketing data right in the warehouse. The United States is leading the charge. A big percentage of our monthly revenue now comes… Read More »Windsor.ai Hits 4,000 Customers. Next Stop: 10,000 The post Windsor.ai Hits 4,000 Customers. Next Stop: 10,000 appeared first...| windsor.ai
This guide walks you through the steps required to run the Meridian MMM (Marketing Mix Modeling) tool using Windsor.ai data via a pre-built Docker container image. Prerequisites: Windsor.ai API key (get yours from https://onboard.windsor.ai/). Docker Desktop installed and running on your machine. To get the most accurate results, various ad data sources (Google Ads, Facebook… Read More »How to Run Meridian MMM on Windsor.ai Data (A Step-by-Step Guide for Non-Techies) The post How to Run M...| windsor.ai
Here’s your ultimate guide to creating custom fields in Windsor.ai. With this feature, you can effortlessly build new metrics and dimensions, such as CPA, ROAS, or any other key performance indicators, by combining and transforming existing fields from your connected data sources. If you’re familiar with spreadsheets or BI tools like Looker Studio, you’ll find… Read More »Working with Custom Fields in Windsor.ai The post Working with Custom Fields in Windsor.ai appeared first on win...| windsor.ai
Getting the message across is only half the challenge, but attracting and keeping the right customer is the real catch. To attract your ideal customer, you must tailor your marketing efforts to them. This may sound simple, but it’s easier said than done. Personalized marketing is not only about boosting your numbers (sales, followers, clicks,… Read More »Top Tools for Creating a Highly Personalized Marketing Strategy The post Top Tools for Creating a Highly Personalized Marketing St...| windsor.ai
Google Meridian is an open-source library developed by Google to implement Bayesian Marketing Mix Modeling (MMM). It helps marketers understand the effectiveness of their advertising channels by estimating how different media inputs (like ad spend or impressions) impact a key business metric (KPI), such as conversions or revenue. Meridian utilizes probabilistic modeling to provide insights… Read More »Connecting Data with Google Meridian for MMM Using Windsor.ai [Python Tutorial] The po...| windsor.ai
Many people boast about having a fantastic gut feeling about things, but they fail to realize that this gut feeling is nothing more than an impromptu analysis of data. Some people should better analyze data and learn from their experiences in real-time. Still, they do this subconsciously and later attribute this to some mythical force… Read More »How Organized Data Systems Drive Smarter Analytics The post How Organized Data Systems Drive Smarter Analytics appeared first on windsor.ai.| windsor.ai
Rivery is a cloud-native ETL/ELT platform that provides businesses with a simple way to build automated data pipelines for management and analytics purposes. Users choose Rivery as it’s easy to use for basic data integration operations, provides access to 180+ connectors, and offers pretty good customer support. In addition, the platform delivers native data orchestration… Read More »Top Rivery Alternatives: Features, Pricing, Use Cases Compared The post Top Rivery Alternatives: Feat...| windsor.ai
Facebook has made a name for itself as one of the largest social media platforms. So, it’s no surprise that many businesses see it as a great place to run their operations. The only trouble is that it’s also tough out there. You and millions of other brands end up competing for the same audience. … Read More »Facebook SEO: Effective Tips for Optimizing Your Facebook Business Page The post Facebook SEO: Effective Tips for Optimizing Your Facebook Business Page appeared first on windso...| windsor.ai
Nowadays, almost every business worldwide strives to collect as much information as possible. From customer feedback to proposals and more, more than 96% of businesses rely on data to make informed decisions, says the S&P Global Market Intelligence Study. However, it’s important to note that raw data alone won’t drive any success. You need to… Read More »Strategies to Turn Raw Data into Insightful Reports The post Strategies to Turn Raw Data into Insightful Reports appeared first on...| windsor.ai
Personalization in marketing matters more than you might assume. When it was first introduced, it was a niche that only a few companies utilized. Now, it has become a necessity. If you do not personalize your marketing efforts, you are losing out on much business. But what is personalization? It refers to creating and presenting… Read More »Marketing Personalization at Scale: Using Data to Improve Customer Experience The post Marketing Personalization at Scale: Using Data to Improve Custo...| windsor.ai
Marketing reports are essential to understand and justify your efforts, through data visualizations, facts, and more. They must be written clearly so that your organization can easily make decisions and maximize returns. However, creating impactful marketing reports is often easier said than done. It requires utmost perfection in data cleansing, visualization, and discussing; a diverse… Read More »The Ultimate Guide to Creating an Impactful Marketing Report The post The Ultimate Guide to ...| windsor.ai
Remember when running an online store meant simply listing products and hoping for the best? Those days are long gone. In today’s eCommerce landscape, your data, like a treasure map, can lead you straight to business success if you know how to read it properly. With the explosive growth of online shopping (and people’s reliance… Read More »How to Use eCommerce Data Analytics to Increase Revenue The post How to Use eCommerce Data Analytics to Increase Revenue appeared first on windso...| windsor.ai
One of the reasons Facebook is such a popular and successful marketing platform is the fact that it provides detailed insight that allows marketers to scale and optimize their campaigns with ease. Having fresh Meta Ads (Facebook Ads) in Power BI is very useful. Especially in case, you are investing heavily in Facebook and Power… Read More »How Connect Facebook Ads to Power BI: Ultimate Guide 2025 The post How Connect Facebook Ads to Power BI: Ultimate Guide 2025 appeared first on windsor.ai.| windsor.ai
Definition Non-aggregatable metrics are specific to their segments, meaning that summing these metrics can lead to inaccuracies. They cannot be combined across different segments without distorting their true values. Overview To illustrate the challenges of working with non-aggregatable metrics, we will examine user-level data. Note that this type of data is not available in Windsor.ai.… Read More »Understanding Non-Aggregatable Metrics The post Understanding Non-Aggregatable Metrics appe...| windsor.ai
Steps to Find Service Dynamics 365 Root URL To use the Windsor.ai Dynamics 365 connector you’ll need to find the Dynamics 365 root URL. Here are the steps to retrieve it Access Developer Resources Log into your Dynamics 365 or Power Apps environment Navigate to Settings Select Customizations Click on Developer Resources Locate the Web… Read More »Dynamics 365 Connector Set Up Guide The post Dynamics 365 Connector Set Up Guide appeared first on windsor.ai.| windsor.ai
Windsor.ai gives you access to the free Amazon Vendor Central dashboard template on Looker Studio. The dashboard template displays all your business metrics from Amazon Vendor Central. The reporting template is easy to use and does not require any technical skills. All you need to do is integrate your data source, and the dashboard template… Read More »Free Amazon Vendor Central Dashboard Template on Looker Studio The post Free Amazon Vendor Central Dashboard Template on Looker Studio app...| windsor.ai
Windsor.ai gives access to the Mailchimp dashboard template, which tracks email marketing campaigns on Looker Studio. The template shows all your vital metrics for email marketing, including the best time to send your messages. It is free, and you can customize it to suit your company’s needs. To use the connector, you need to connect… Read More »Free Mailchimp Dashboard Template on Looker Studio The post Free Mailchimp Dashboard Template on Looker Studio appeared first on windsor.ai.| windsor.ai
Analyzing your ad performance just got easier with Windsor.ai’s free Google Ad Manager dashboard templates on Looker Studio. These templates make your reporting hassle-free as they provide workable insights into your campaigns. They focus on key metrics like impressions, CPM, clicks, and CTR to give you an accurate picture of the marketplace. You can also… Read More »Google Ad Manager Dashboard Template on Looker Studio The post Google Ad Manager Dashboard Template on Looker Studio appe...| windsor.ai
Windsor.ai uses Looker Studio to create and automate Quickbooks insights dashboards. The dashboard reporting template is useful for monitoring your business insights, including book balances, revenues, and expenses. Windsor.ai gives you free access to the white-label dashboard template, which you can customize to suit your needs. Using the Quickbooks Insights dashboard template for Looker Studio… Read More »Quickbooks Insights Dashboard Templates on Looker Studio The post Quickbooks Insig...| windsor.ai
Data blending is a significant reason analysts choose Looker Studio, But what is data blending? The feature enables analysts to combine data from multiple sources when creating Looker Studio reports. While Looker Studio simplifies the creation of data blends, it has some limitations, which we will discuss herein. We will also show you how to… Read More »Data Blending in Looker Studio: How to Blend Data, Benefits, and Overcoming Limitations The post Data Blending in Looker Studio: How to B...| windsor.ai
Learn about the best Sales Marketing Cloud alternatives and why you must try the Windsor.ai marketing data attribution software.| windsor.ai
Automate data integration from 325+ sources with scalable, no-code pipelines that connect to top destinations in under 5 minutes.| windsor.ai
Use Windsor.ai's free PPC dashboards to track key ad performance metrics, optimize strategies, and keep reports automatically updated—saving you time and maximizing results.| windsor.ai
Easily integrate Google Analytics 4 data into your BI tool, data warehouse, or visualization platform using Windsor.ai’s ELT connectors in minutes.| windsor.ai
Use the actual Google Ads Report Dashboard Templates created and used by Windsor.ai for Google Ads performance monitoring and optimization.| windsor.ai
Easily integrate Google Ads data into your BI tool, data warehouse, or visualization platform using Windsor.ai’s ETL connectors in minutes.| windsor.ai
Integrate HubSpot metrics into your favorite data destinations with Windsor.ai. Connect and move your HubSpot data in minutes with no code.| windsor.ai
Access a vast library of the best Looker Studio dashboards and templates. Create custom reports and unlock valuable insights in a few clicks with no code.| windsor.ai
Easily integrate LinkedIn Ads data into your BI tool, data warehouse, or visualization platform using Windsor.ai’s ELT connectors in minutes.| windsor.ai
Ready-to-use 70+ free Marketing Dashboard Templates to Streamline Reporting ✓ Explore Marketing Dashboards for Every Purpose ✓| windsor.ai
Windsor.ai pricing starts at $19/month ✅ Enjoy a free 30-day trial to explore core features before upgrading to a paid plan.| windsor.ai
Use Windsor.ai’s free Instagram Ads Google Sheets template to track impressions, clicks, spend, and CTR in an auto-refreshing dashboard—no manual exports.| windsor.ai
