Category : Littledata
It's been a busy and exciting 2017 here at Littledata. Our Shopify reporting app really took off this year, and with a bunch of new features and report packs in the works for 2018 we don't plan on slowing down any time soon. Data never sleeps. If you work in ecommerce, analytics or -- as we happen to do here at Littledata -- ecommerce analytics, the holiday shopping period can be sleepless for the humans in charge of that data, too. So we wanted to take a moment to pause and give thanks. We couldn't have made it this far without you. From our team to yours, happy holidays! May the coming year bring you peace and success. [subscribe]
Littledata at Codess
I was proud to be invited by Microsoft to speak at their Codess event in Bucharest last week to encourage women in software. We talked about how Littledata uses Meteor, Node and MongoDB to run scalable web applications; slightly controversial because none of these are Microsoft technologies! The event was well run and well attended, so I hope it inspires some of the attendees to start their own projects...or to join Littledata (we're hiring).
Custom reporting for marketing agencies
Are you a digital marketing agency looking for new reporting solutions? As our agency partnerships continue to grow, we thought it would be useful to outline how Littledata's custom reporting helps forward-thinking agencies cut down on reporting time, visualise data and improve performance for their clients. The marketing landscape is complex, but your reporting doesn't have to be overly complicated. With such a wide range of channels and sites to track, many agencies struggle to find the best analytics tools. To you we say: Welcome, you've finally found a solution that both simplifies and enhances the reporting process. Smarter reporting and accurate analytics Do you produce regular campaign performance reports in Excel or Google Sheets for your clients? Have you rejected other reporting solutions as being too rigid or complex for your needs? Then Littledata’s custom reports could work well for you and your clients. We automate the data fetching and calculations you currently run manually, and display the results to clients in a streamlined web app. We'll even show you the most important metrics, and report on key changes - automatically. One key advantage over tools such as Tableau, Data Studio or Chartio is that you can define a template report and then roll it out for many different web properties (or segments of websites) with the click of a button. Compared with other solutions you may have considered we also offer: Full support in data setup, report design and client onboarding Branded report packs for your clients and customers Complete life cycle data on your clients' customers, from marketing attribution to repeat purchases (including for subscription-based businesses) 1st line support to end users Flexibility to calculate any metrics (using Google Sheets in our processing pipeline) Comparison to industry benchmarks for sales, marketing and web performance - or create private benchmarks amongst your own client base Actionable insights for any online business to improve marketing ROI and increase conversions, whether one large ecommerce site or a series of micro-sites Integration of Google Analytics with Google Search Console data for powerful SEO reports [subscribe] We’re also open to discussions about white-labelling the Littledata app. This type of partnership works best for agencies with at least 20 clients ready to take advantage of our intelligent analytics tools. Please contact us if you’d like a demo, to see how this has worked for existing customers, or to discuss a particular client’s needs. Get ready to love your analytics :)
How to add tracking for multiple websites or apps (VIDEO)
If you're tracking multiple sites or apps in Google Analytics, you can connect all of these views to your Littledata account and easily switch between them. Watch this quick video to learn how to add or remove a Google Analytics data source in the Littledata app. [embed]https://www.youtube.com/watch?v=xoISTTx1zlw[/embed] FAQs - Working with multiple Google Analytics views How do Littledata reports link to Google Analytics views? When you click to set up another site you will see a list of all the Google Analytics properties and views linked to your Google account. Typically you will only be interested in one of the views, which contains data for the site or app you are working on. When you select a view, Littledata fetches the data it needs to enable core features such as our intelligent Google Analytics audit and industry benchmarking. Note that this doesn't commit you to purchase anything. The underlying data in your Google Analytics account is not affected unless you opt-in to our automated fixes, which let you automatically fix particular aspects of your Google Analytics setup. [subscribe] How many websites or apps can I track? You can set up standard reporting for as many websites as you like. However, if you're using Littledata's Pro services for advanced custom reporting, this is priced per view or data source. You can switch between these sites using the drop-down menu in the top bar. Does your reporting work with mobile app properties? Right now, some of the features will work - such as dashboards, alerts and buyer personas - but audit and benchmarking are specifically for websites. How do I add or remove a site? Once you've connected multiple web properties to your Littledata account, you can manage them using the My Sites page under the profile photo drop-down menu in the upper right. Can Littledata handle micro-sites? Yes. If each micro-site have it's own Google Analytics view, then go ahead and connect them all to your Littledata account. If the micro-sites are all under one web view, then ask the Littledata team about custom solutions to create a multi-site dashboard that lets you visualise Google Analytics data from many micro-sites and benchmark against each other. We have done this for a range of customers and are happy to discuss the details of what is involved in reporting on multiple micro-sites, whether just a few or several hundred!
TechHub London demo roundup
Last night we gave a live demo of the Littledata app at TechHub London's Tuesday demo night. It's always exciting to share Littledata with other entrepreneurs and business owners, and to get their feedback about Google Analytics issues (everybody has some!). But in this post I'm putting our app aside for a moment in order to share some thoughts on the other company demos from the event. After all, isn't sharing feedback and ideas what the TechHub community is all about? My Film Buzz MyFilmBuzz is an early stage mobile app – launched eight weeks ago with 150 users. The user interface is really intuitive; making use of great visuals from movies and Tinder-style swiping to rate movies. The commercial problem is competing with established players like Rotten Tomatoes with big established audiences. Can a better interface tempt film viewers away? HeathClub TV HeathClub TV offers personalised training videos and exercises, selling via personal trainers who create their own profile and packages. A bit like Udemy for personal training courses, the trainers take a cut of the course fees. Again personal fitness is a very competitive market – the founder said one competitor spent £1.5m on their first version mobile app. I’ve personally enjoyed the 8-fit mobile app, with a similar mix of video exercises but without the marketplace for trainers to produce content. It will be interesting to see if the user generated content model wins out in this market. Trevor.io Trevor helps companies visualise data sources from their own business, such as SQL databases. The user interface makes a good job of simplifying a complex task, switching between table and graph views. As a data geek, I love it! We thought about a similar product in the early stages of Littledata, so my big question is: how many users have the analytical knowledge to create the data integrations, but aren’t comfortable using SQL or similar. At Littledata, most of our analysts progress to coding, because it makes them quicker to do the analysis – but then we are an unusually techy company. Grocemania Grocemania allows customers to place orders from local retailers, charging a small delivery fee (£2.50) and small minimum order (£10) subsidised by 15% commission from the retailers. They have launched a pilot in Surrey with nine retailers. The strategy seems to be to undercut other delivery companies, with lower delivery costs from freelancers and passing stock control onto the retailers. The presenters got a groan for highlighting how they reduce employment costs, but my real concern is how they can profitably undercut companies like Amazon who are ruthless pros at retail and delivery. [subscribe] Worksheet Systems Similar to Trevor, Worksheet Systems aims to solve the problem of storing lots of data in interconnected spreadsheets. Their idea is to split the user interface and database inherent in a complex spreadsheet, and present as a kind of Google Sheet – rather than the customer building an actual database. It looks really powerful, but I wasn't clear what it can do that Google Sheets doesn’t; we use Sheets for lots of smaller ‘databases’ in Littledata, and it’s both simple and powerful. Crowd.Science Crowdfunding for scientific projects, helping scientists raise money from individual donations, business sponsorship and charitable trusts. They take 5 – 10% commission of the money raised. It seems like a great model: crowdfunding is well proven in other areas, and some scientific projects have real public benefit. As the trustee of a grant-giving trust, I know the way we find projects is fairly inefficient, so this platform would be a great benefit as it takes off. Realisable Realisable is an Extract, Transform and Load (ETL) tool, with a visual business rules editor to transform a data source. Their live demo uses a job to transform unshipped orders from Shopify into a format that can be exporting to an accounting package, adding a customer ID to the transactions. I investigated this market in 2016, and there are some very big companies in the ETL market. Many of their products suck - a great opportunity - but there are ones with better user interfaces like Stitch Data. Talking to the founders afterwards, their strategy is to dominate a channel (in their case, Sage consultants); I know this has really worked for another ETL tool, Matillion for Amazon RedShift. Conclusion What’s my favourite idea (outside of Littledata)? Crowd.Science has the biggest potential commercially I think, but I do love Trevor’s product.
Introducing Buyer Personas
This week we're excited to introduce Buyer Personas, a game-changing new feature for marketers and ecommerce teams that are serious about hacking growth at a major scale. Do you know which types of customers are most likely to convert? Gathering customer data is one thing, but turning it into actionable insights is another. We've found that Littledata users are often struggling to find the exact differences between web visitors that buy and those that don't buy, especially when it comes to particular marketing channels. Littledata's new Buyer Personas feature automatically generates user personas based on your particular Google Analytics ecommerce setup or conversion goals, making it easier than ever to target your marketing and on-site content at those shoppers most likely to engage, convert, and grow with your online business in the long term. For example, if you know that users who arrive on your site on the weekend, in the afternoon are more likely to buy, then you should allocate more of your budget to those times. Or if users on tablets are most likely to convert, then target campaigns and ad formats most relevant for that screen size. [subscribe] Accurate Data If you have a decent Google Analytics setup it is possible to look at how different attributes of the user (age, browsing device, time of visit, etc.) affect their likelihood of converting. The better the data setup for your 'people analytics', the more detailed the report can be – when's the last time you audited your website's Google Analytics setup? Buyers or Users? We’re calling the new feature Buyer Personas since this is often requested by retail customers, but it is equally relevant if you have another conversion goal (eg. registrations, event bookings). In all of these cases, your customers are essentially 'buying in' to your product or service. You can switch the conversion metric at the bottom of the Buyer Personas page in the app. Marketing Channels Buyer personas give you actionable insights on particular channels, such as paid search, while also improving your overall understanding of your ideal customer base. The feedback is split out by channel so you can action it more easily: how you would re-organise your paid search marketing is very different to how you re-target your email marketing, but both are needed. The reality is that most smaller websites won’t have any of the ideal people of their site. We are not saying that only that exact profile will convert but that, by targeting the marketing on those who convert most easily, you can improve your return on investment. Pick the category with the biggest potential audience first. The first iteration of the new feature is live in the app this week. We look forward to hearing your feedback! Note that to generate Buyer Personas, you will need an active conversion goal or ecommerce tracking setup, and a minimum of 50 conversions in the previous month. Don't have a Littledata account yet? Sign up today to fix your Google Analytics setup for free and start generating buyer personas.
How Google Analytics works
Online reporting: turning information into knowledge
Websites and apps typically gather a huge flow of user behaviour data, from tools such as Google Analytics and Adobe Analytics, with which to better target their marketing and product development. The company assumes that either: Having a smart web analyst or online marketer skim through the reports daily will enable management to keep tabs on what is going well and what aspects are not Recruiting a ‘data science’ team, and giving them access to the raw user event data, will surface one-off insights into what types of customers can be targeted with which promotions Having worked in a dozen such companies, I think both assumptions are flawed. Humans are not good at spotting interesting trends, yet for all but the highest scale web businesses, the problem is not really a ‘big data’ challenge. For a mid-sized business, the problem is best framed as, how do you extract regular, easy-to-absorb knowledge from an incomplete online behavioural data set, and how do you present / visualise the insight in such a way that digital managers can act on that insight? Littledata is meeting the challenge by building software to allow digital managers to step up the DIKW pyramid. The DIKW theory holds that there are 4 levels of content the human mind can comprehend: Data: the raw inputs; e.g. the individual signals that user A clicked on button B at a certain time when visiting from a certain IP address Information: provides answers to "who", "what", "where", and "when" questions Knowledge: the selection and synthesis of information to answer “how” questions Wisdom: the extrapolation or interpretation of this knowledge to answer “why” questions Information is what Google Analytics excels at providing an endless variety of charts and tables to query on mass the individual events. Yet in the traditional company process, it needs a human analyst to sift through those reports to spot problems or trends and yield genuine knowledge. And this role requires huge tolerance for processing boring, insignificant data – and massive analytical rigour to spot the few, often tiny, changes. Guess what? Computers are much better at the information processing part when given the right questions to ask – questions which are pretty standard in the web analytics domain. So Littledata is extending the machine capability up the pyramid, allowing human analysts to focus on wisdom and creativity – which artificial intelligence is still far from replicating. In the case of some simpler insights, such as bounce rates for email traffic, our existing software is already capable of reporting back a plain-English fact. Here’s the ‘information’ as presented by Google Analytics (GA). And here is the one statistically significant result you might draw from that information: Yet for more subtle or diverse changes, we need to generate new ways to visualise the information to make it actionable. Here are two examples of charts in GA which are notoriously difficult to interpret. Both are trying to answer interesting questions: 1. How do users typically flow through my website? 2. How does my marketing channel mix contribute to purchasing? Neither yields an answer to the “how” question easily! Beyond that, we think there is huge scope to link business strategy more closely to web analytics. A visualisation which could combine a business’ sales targets with the current web conversion data, and with benchmarks of how users on similar sites behave, would give managers real-time feedback on how likely they were to outperform. That all adds up to a greater value than even the best data scientist in the world could bring. Have any questions? Comment below or get in touch with our team of experts! Want the easier to understand reports? Sign up! Get Social! Follow us on LinkedIn, Twitter, and Facebook and keep up-to-date with our Google Analytics insights.
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