Accurate data in Google Analytics for Shopify Plus stores
Using Shopify Plus? Littledata's team of Shopify Plus experts and Google Analytics consultants is here to help you scale. Introducing the Shopify Plus smart connection guide! ✨ Littledata has helped more Shopify Plus stores get accurate, actionable data than any other solution on the market. Now, with the help of the smart connection guide, we're ushering in a new era of enterprise ecommerce — one with accurate Shopify reporting, expert Shopify Plus support and Shopify Plus analytics that empower you to make better decisions at scale. For ecommerce directors selling across country borders, not to worry! Shopify Plus multi currency and Shopify Plus multi store businesses are also covered in the guide. They're also included in Littledata's Enterprise Plus plan: Littledata Enterprise Choose the plan that's right for you based on your ecommerce analytics needs. All enterprise plans include priority support from an analytics expert: Enterprise: Do more for less with a dedicated account manager and unlimited data thresholds. Enterprise Plus: Scale like the top Shopify Plus brands with custom setup and reporting, including Tag Manager support and an in-depth analytics audit. What are you waiting for? With the Shopify Plus smart connection guide, you're well on your way to scaling faster for enterprise ecommerce success. [subscribe heading="Get the Shopify Plus smart connection guide" background_color="green" button_text="Download it free" button_link="https://www.littledata.io/app/shopify-plus-smart-connection-guide"]
Top 5 ecommerce trends in 2015: more power to consumer
2014 saw an increasing number of people buying online. With ever-growing competition, it’s ever more important for retailers to understand what their customers want and how to best serve them. Let’s look at five main ways that shoppers will be dictating what they want from ecommerce retailers in 2015 and how you can track these trends. 1. They’re shopping more on mobile devices Not only are shoppers making more purchases on their laptops and PCs but they’re also increasingly using their mobile devices. Retailers saw mobile transactions grow 40% at the end of the last year and there are no signs of slow down. If you’re sceptical about whether optimising for tablets and smartphones is necessary for your business, add a custom Google Analytics report by Lens10 that will quickly tell you if you should go mobile. It will also show you which devices are being used to access your site so you’ll know where to focus your efforts. 2. They’re using click & collect services In 2014 we saw some of the biggest companies jump on the click & collect bandwagon to allow customers to choose when and where they want to pick up their purchases. Waitrose, Ocado, Amazon partnered with TfL to provide click & collect at tube stations. Argos and eBay teamed up to offer the collection of parcels to eBay buyers from Argos stores nationwide. Online buyers want to enjoy a greater freedom when it comes to their shopping so we expect to see more companies join up to expand their offering. With 76% of digital shoppers predicted to use click & collect service by 2017, many more companies will begin offering the service. It’s time to offer customers the option to pick up purchases on their daily commute. 3. They’re expecting convenient delivery options It’s annoying to go through the online buying process only to be faced with limited and costly delivery options at the checkout page. Customers want more flexibility with how and when their purchase will be delivered and if your competitor offers those better options, then why aren’t you? 50% of online shoppers have abandoned a purchase online due to inconvenient delivery options. This number is staggering and should act as a warning to review your delivery cost, times and the accuracy of information you provide on the site. 4. They want personalised communication As shoppers get snowed under hundreds of emails, their individual experiences have become more important. Whilst a large majority of the businesses, 94%, understand that personalisation is crucial to their strategy it’s surprising that not that many are using the tactics. Econsultancy and Adobe produced a survey that reported 14% rise in sales, which makes a strong case for making marketing more personal. Track your customers’ location, local weather, viewed and bought items, and start testing with personalised marketing campaigns to see what works for your sales. (Chart: How do you (or your clients) measure the benefits of personalisation? | Econsultancy) 5. They’re accelerating online sales UK retailers saw their biggest sales over Christmas period, with digital increasingly getting the bigger share of the overall retail market. In 2014 ecommerce sales broke the £100bn mark for the first time and IMRG Capgemini e-Retail Sales Index predicts further growth to £116bn this year Be wary of repeating the mistakes of retailers like Currys, Argos, Tesco and PC World, whose websites couldn’t handle the increased number of visitors on Black Friday. Many customers remained stuck on frustrating holding pages instead of shopping. Check out some useful tips from Econsultancy for how to prepare for Black Friday in 2015. By setting up ecommerce tracking you can understand what shoppers are doing on your website and make informed decisions on further updates to product pages. In 2015 retailers’ success will depend on their ability to meet customers’ expectations and we hope the list above has helped your preparations. If there are any other trends you see growing in 2015, do share them in the comments.
What's new in Google Analytics 2014
Google has really upped the pace of feature releases on Analytics and Tag Manager in 2014, and we’re betting you may have missed some of the extra functionality that’s been added. In the last 3 months alone we’ve counted 11 major new features. How many have you tried out? Official iPhone app. Monitor your Google Analytics on the go. Set up brand keywords. Separate out branded from non-brand search in reports. Enhanced Ecommerce reporting. Show ecommerce conversion funnels when you tag product and checkout pages. Page Analytics Chrome plugin. Get analytics for a particular page, to replace old in-page analytics. However, it doesn’t work if you are signed into multiple Google Accounts. Notifications about property setup. Troubleshoot common problems like domain mis-matches. Embeded Reports API. So you can build custom dashboards outside of GA quickly. Share tools across GA accounts. Now you can share filters, channel groupings, annotations etc easily between views and properties Tag Assistant Chrome plugin. Easily spot common setup problems on your pages using the Tag Assistant. Built-in user tracking. See our customer tracking guide for the pros and cons. Import historic campaign cost and CRM data (premium only). Previously, imported data would only show up for events added after the data import. Now you can enter a ‘Query Time’ to apply to past events, but only for Premium users. Get unsampled API data (Premium only - developers). Export all your historic data without restrictions Better Management API (for developers). Set up filters, Adwords links and user access programmatically across many accounts. Useful for large companies or agencies with hundreds of web properties.
Pulling Google Analytics into Google Docs - automated template driven reporting
The Google Docs library for the analytics API provides a great tool for managing complex or repetitive reporting requirements, but it can be tricky to use. It would be great if it was a simple as dropping a spreadsheet formula on a page, but Google’s library stops a few steps short of that - it needs some script around it. This sheet closes that gap, providing a framework for template driven analytics reports in Google Docs. With it you can set up a report template, and click a menu to populate it with your analytics results and run your calculations - without needing to write a line of script - the code is there if you want to build on it, but you can get useful reports without writing a line of script. Prerequisites While you don't have to write code to use this, there are some technical requirements. To get the most out of it you'll need to have: your Google analytics tagging and views set up familiarity with Google’s reporting API familiarity with Google Docs spreadsheets - some knowledge of Google apps scripting is an advantage If you are looking for something more user-friendly or tailored to your needs, contact us and book a consultation to discuss - we can help with your analytics setup and bespoke reporting solutions. Getting started Setting this up takes a few steps, but you only need to do this once: Open the shared Google spreadsheet Make a copy Enter a view ID in the settings sheet - get this from the Google Analytics admin page. Authorise the script Authorise the API - in the API console - this is the only time you need to go into the script view using Tools|Script Editor Once in script editor select Resources|Advanced Google services On the bottom of the Advanced Google services dialogue is a link to the Google Developers Console, follow this and ensure that Google analytcs API is set to On You're done. You can go back to the spreadsheet and run the report (on the Analytics menu). From now on all you need to do is tweak any settings on the template and run the report. Setting up your own report template You can explore how the template works using the example. Anywhere you want to retrieve value(s) from Google Analytics, place this spreadsheet function on the template: = templateShowMetric(profile, metric, startdate, enddate, dimensions, segment, filters, sort, maxresults) This works as a custom spreadsheet function, for example =templateShowMetric(Settings!$B$2,$B7,Settings!$B$3,Settings!$B$4,$C7,$D7,$E7,$F7,$G7) Note that in the example, several of the references are to the settings sheet, but they don't have to be, you can use any cell or literal value in the formula - it's just a spreadsheet function. To get the values for the API query, I'd suggest using Google’s query explorer. To set this up for a weekly report, say, you would have all the queries reference a single pair of cells with start and end dates. Each week you would change the date cells run the report again - all queries will be run exactly as before, but for the new dates. Using spreadsheet references for query parameters is key. This opens up use of relative and absolute references - for example if you need to run the same query against 50 segments, you list your segments down a column, set up segment as a relative reference, and copy the formula down spreadsheet style. You can use this to do calculations on the sheet and use results in the analytics API, for example you might calculate start and end dates relative to current date. Future posts will cover setting up templates in more detail. Under the hood The templateShowMetric function generates a JSON string. When you trigger the script, the report generator copies everything on the template to the report sheet and: runs any analytics queries specified by a templateShowMetric function removes any formulas that reference the settings sheet (so you can use the settings sheet to pass values to the template, but your reports are not dependant on the settings staying the same)
Analytics showing wrong numbers for yesterday's visits
We've noticed a few issues with clients using Universal Analytics this last month, when visits for the last day have been double the normal trend. It then corrects itself a few hours later - so seems to be just a blip with the data processing at Google. Others have noticed the same problem. The temporary fix is to only generate reports with time series ending the day before yesterday. i.e. ignore yesterday's data. Now Google have officially acknowledged the problem Looking forward to seeing that one fixed!
Measuring screen resolution versus viewport size
There’s a difference between the ‘screen size’ measured as standard in Google Analytics and the ‘browser size’ or ‘browser viewport’. Especially on mobile devices, there are pitfalls comparing the two. Browser viewport is the actual visible area of the HTML, after the width of scroll bars and height of button, address, plugin and status bars has been allowed for. Desktop computer screens have got much bigger over the last decade, but browser viewports (the visible area within the browser window) are not. The CSS tricks site found only 1% of users have their browser viewing in the full screen. While only 9% of visitors to his site had a monitor less than 1200px wide in 2011, around 21% of users have a browser viewport of less than that width. Simply put, on a huge monitor you don’t browse the web using your full screen. Therefore, 'screen resolution' may be much larger than 'viewport size'. The best solution is to post browser viewport size to GA as a custom dimension. P.S. Google Analytics does have a feature within In Page Analytics (under Behaviour section) to overlay Browser Size, but it doesn’t work for any of the sites I look at.
How many websites use Google Analytics?
Google Analytics is clearly the number one web analytics tool globally. From a meta-analysis of different surveys, we estimate it is currently installed on over 50% of all websites or 80% of operational websites using any kind of analytics tracking. We looked at the following sources for this chart: Datanyze survey of Alexa top 1m sites (04/2014) BuiltWith survey of all websites (04/2014) MetricMail survey of Alexa top 1m sites Pingdom survey of Alexa top 10k sites (07/2012) W3Techs survey of their own sites (04/2014) LeadLedger survey of Fortune 500 sites (04/2014)
What's included in Analytics traffic sources?
The Channel report in Google Analytics (under 'Acquisition' section) splits out into 6 or more types of visit channel: Direct Where a visitor has: typed the URL into the address bar clicked on a link which is NOT in another web page (e.g. in a mobile app) visited a bookmarked link Organic Search All visits from search engines (i.e. Google, Bing, Yahoo) which were not an advertisement. You used to be able to filter out people searching for your brand (which are more like Direct visits), but now the search terms are not provided. Paid Search Visits from search engines where the visitor clicked on an advert. Referral Where a visitor has clicked on a link in another website (not your own domain), but not including search engines or social networks. Social Networks Specifically links from known social network websites (including Facebook, Twitter, LinkedIn etc) Email From links tagged as medium = 'email'. Your email software needs to be configured correctly to add this tag. Display Links tagged as 'display' or 'cpm'. FAQs Can I change the channel groupings? Yes, you can change this under Admin .. (Selected View).. Channel Grouping. But we recommend you don't do this for your default view, as you won't be able to compare the historical data.
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