Api-tools/GA Management Magic at master · narcan/api-tools. Home. Scroll Depth - A Google Analytics plugin for measuring page scrolling. Definitive Guide to Removing Google Analytics Spam - Analytics Edge Help. This is a PROVEN WORKING SOLUTION with filter expressions updated regularly!
There are a lot of partial solutions and misinformation out there about clearing out so-called referral spam (and organic search and event spam too), so here’s the Definitive Guide to removing all of that junk! This article has been constantly updated since January 2015 and has helped over 250,000 people clean up their Google Analytics reporting. All the information you need is provided below in this step-by-step guide, but you will need to update the filters as they change. There is also a free utility from Quantable.com that implements filters similar to what is described here, but you will need to update them over time. Don’t Want To Deal With It? The Google Analytics Referral Spam Solution The process in summary, proven effective for over 18 months: Have a new website? Urban Myths and Bad Advice: DO NOT use the Referral Exclusion List – Why? Top spammers past 30 days (2016-08-09) Preface: Follow Best Practices 1.
Untitled. Google Analytics - Analytics Canvas. Analytics Canvas has been designed for both Standard and Premium customers to perform sophisticated analysis and processing of Google Analytics data.
Advantages of our GA offering include:Access to Core Reporting, Unsampled Reports, Multi-Channel Funnel, Cost Upload, and Google BigQuery APIsUnsampled data from most Standard and all Premium accountsQuery and analyze hundreds of sites at onceSchedule exports to Excel, BigQuery, SQL Server, mySQL, Oracle and moreAccess hit level data from Google BigQuery without writing SQLMerge Google Analytics data with internal data sourcesPerform complex data transformations and calculationsCompletely automate Excel dashboards and reports Features for all Google Analytics accounts Eliminate Sampling. Dimensions & Metrics Explorer Google Analytics Regular Expressions Cheat Sheet by Jay Taylor.
Google Universal Analytics URL Collect Parameters Cheat Sheet by dmpg_tom. Measurement Protocol Parameter Reference This document lists all of the parameters for the Measurement Protocol.
General Protocol Version Required for all hit types. The Protocol version. The current value is '1'. Example value: 1 Example usage: v=1 Tracking ID / Web Property ID The tracking ID / web property ID. Custom filter fields - Analytics Help. Working with the Measurement Protocol This document describes how to send common hits to the Measurement Protocol.
Overview This document demonstrates how to format HTTP requests to send common hit types to the Google Analytics Measurement Protocol. Read the: Protocol reference – a complete description of how to format Protocol requests. Parameter reference – a list of all the parameters accepted by the Protocol. Sending Required Values. 29 Common Google Analytics Data Errors And How To Fix Them. With the Ecommerce Foundation quoting B2C eCommerce figures of $2.2bn worldwide for 2015, it seems that if a business is not focusing efforts online then it’s falling way behind the current trend.
Doing business online these days IS doing business, and the trusted means by which to measure our results is Google Analytics. “If you can not measure it, you can not improve it” – Sir William Thomson (First Baron Kelvin) Rolling out and implementing Google Analytics can be a tricky big process for most businesses and often specialist assistance is required to get things running correctly. However, even with the most skilled of talent, errors can occur in the data that can throw out results, often unknown to the analytics team.
Customizing the Google Analytics code is a team effort and will require constant measurement and evaluation to get things humming. During the refinement process you are likely to find some of these errors occurring. Better QA With Google Tag Manager Environments. Google Tag Manager, our favorite free tag management solution, has always struggled with its enterprise-worthiness.
There are many features still lacking, most of which have to do with working in multi-user environments. Now, grab the last word of that sentence (see what I did there), and hug it tightly, for GTM just introduced a new, enterprise-friendly feature: Environments. These Environments are actually browser cookies, which you use to link a Google Tag Manager container state with the browser of the user who needs to or wants to view that particular state. In other words, if you have a QA (quality assurance) process, as you should have, or if you do most of your testing on a staging server, as you should do, you can create an Environment in GTM, after which you can publish container versions (even the draft) into that particular Environment alone. Untitled. To implement Google Tag Manager (GTM) there are two things that you need to do: 1.
Understand the concept of data layers (which I explained in great detail in the post: Google Tag Manager Data Layer explained like never before). GTM works best when used with data layers.2. Migrate tags to Google Tag Manager In this article I will talk about the deployment process I use for migrating tags to GTM. There are 3 environment (stages) of tag deployment via GTM: 1. Google Tag Manager for Web Tracking This document describes details of how to implement Google tag Manager on your site.
Using a Data Layer To ensure maximum flexibility, portability, and ease of implementation, Google Tag Manager functions best when deployed alongside a data layer. A data layer is an object that contains all of the information that you want to pass to Google Tag Manager. Information such as events or variables can be passed to Google Tag Manager via the data layer, and triggers can be set up in Google Tag Manager based on the values of variables (e.g., fire a remarketing tag when purchase_total > $100) or based on the specific events. Variable values can also be passed through to other tags (e.g., pass purchase_total into the value field of a tag). How-To Guide: Setting up TV Campaign Tracking. Overview: TV Commercial Airing and Online Campaign Tracking: Basics We have already covered what online TV campaign tracking is and why it is important.
The wywy TV analytics plugin is a very simple, but still incredibly powerful way to enable an online in-depth analysis of TV commercial performance and the effect on your online KPIs. Once a commercial is added to the wywy system there are three data points provided for each airing: Commercial name – the name of the commercial to tell different versions apartChannel – the TV channel the commercial was detected on Datetime – the exact time (UTC) of the detection Before we start you should understand and be familiar with the following concepts: How to track phone call leads in Google Analytics. Simo Ahava's blog - What's New In Digital Analytics? How Google Analytics handles 301 and 302 Redirects - THIS IS AN ANSWER. Are You Making These 10 Common Google AdWords Mistakes? Internet marketers know that using Google AdWords is an excellent way to drive traffic to their sites.
Since it can be expensive if not handled correctly, the trick is to manage campaigns to get the highest return on investment. A poorly managed campaign can cost more than it brings in, but a well managed campaign can keep your store or company in business. It all comes down to how much you know about AdWords and how smartly you can manage your campaigns. In this post, we’ll discuss the top 10 mistakes people make with Google AdWords. By avoiding these mistakes and following the alternative advice provided, you’ll be on your way to a highly successful AdWords campaign. Mistake #1: Not Grouping Keywords Correctly AdWords is set up so you can create campaign ad groups to manage different types of campaigns.
Click on the green “New ad group” button within a campaign to create new groups for your ads and keywords. Not using ad groups is one of the biggest mistakes people make. Conclusions. Track custom click/touch events in Google Universal Analytics. In this simple tutorial I’m going to share how I track custom events like clicks/touches in the new Universal Google Analytics. In addition to looking at single inline usage, I’ll share the jQuery code I use to group my functions together for tracking multiple events in one easy place. When I first switched over to the new Universal Analytics tracking code last year, I unfortunately didn’t realise just how different it was. Universal Analytics sources a new tracking file called analytics.js which is very different from the classic ga.js tracking script.
Tracking custom events in the old Classic Analytics Before Universal Analytics was launched last year, you could track custom events using the _gaq Global Object like this… When paired with the older Classic tracking code, the above example would track how many clicks/touches the phone number received. Goodbye _gaq and hello ga. The New GAIQ EXAM: What You Need to Know. Checkout and Form Analytics. For almost all websites a forms sits between a website visitor and a conversion: For e-commerce sites the user has to fill in their details to become a customer and place an order For B2B service companies a user has to fill in a form to register an interest in a service Almost every site has a contact webform Most sites have login forms Forms play such an important part in the conversion process that if you can improve them then you'll see an increase in sales or leads with the same marketing spend.
This process of form conversion rate optimisation will also make it easier for your website visitors to engage with you, which means they'll have a positive experience of your brand. Blog for Web Analytics, Statistics and Data-Driven Internet Marketing. What is Enhanced E-commerce Tracking? It’s a significant upgrade of the traditional e-commerce tracking snippet and it comes with a bunch of new reports in the Google Analytics interface.
It lets you track checkout funnels, add/remove to cart behaviour, product view to sale funnels, refunds, affiliate and promo codes & coupons and more. We’ll see these in more detail bellow. Enhanced E-commerce was announced on May 30 and was released gradually in the following 30 days. Enhanced Ecommerce - Web Tracking (analytics.js) - Google Analytics. Enhanced Ecommerce — Google Analytics Demos & Tools.