Littledata updates: new funding, new Segment connection...and we're hiring!

What an amazing year it's been already! With a focus on smart connections for ecommerce analytics, Littledata is scaling quickly. We recently closed a new funding round and are firing on all cylinders, ramping up our agile product development, marketing outreach, career opportunities and conference participation. Here's the latest news from Littledata HQ. Littledata closes new angel funding round We're excited to announce that Littledata has closed a new angel funding round. We will be using the new funding chiefly to enhance product development and inbound marketing. Funding is a tricky thing. Too many companies make big claims without building a viable product, or estimate markets that don't actually turn out to exist. We've taken the opposite approach, building automated tools that solve real problems faced by major ecommerce brands. After all, the fanciest reporting in the world is useless if you can't trust your data! In other words we've been conservative with our funding because we believe in establishing deep product-market fit, and this new round comes at a perfect time. I've long said that bootstrapping builds better startups. For a bit of Littledata history, check out CEO Edward Upton's appearance on the Ecommerce Fastlane podcast, and his take on six challenges in developing a Shopify integration. New connection: Shopify to Segment We worked closely with the Segment team to create the ultimate Segment connection for Shopify and Shopify Plus. Segment offers a powerful Customer Data Infrastructure (CDI) that lets you clean, collect and control customer data. Our Shopify app for Segment users fixes tracking automatically, and lets you use Shopify as a Segment source. Benefits include: Server-side tracking for 100% accuracy Capture every customer touch point, including checkout steps, sales data and customer lifetime value (LTV) Push Shopify customer data to hundreds of Segment destinations Set up in minutes for any Shopify store We're hiring! With great things on the horizon, Littledata is seeking the best talent across departments in London, NYC and Romania. Check out our job postings for an up-to-date list. Our values include: Agile development New technologies Open collaboration Happy people We're looking for brilliant team players who are ready to build the next generation of analytics apps. Google Analytics knowledge is essential. Ecommerce experience is a plus! Conference season We all might live online these days, but our team culture values meetups IRL. If you're heading to Shopify Unite in Toronto this June, or ReCharge's ChargeX conference in LA in September, send us a note - we'd love to see you :) Should you go to that ecommerce conference? How to decide. There's never been a better time to join the Littledata family, whether as a partner, customer or team member. Growth has never been stronger - and customer happiness continues to be our most impressive statistic. Thank you for joining us on the journey to better data!

by Ari
2019-04-16

Littledata Shopify App featured on Ecommerce Fastlane Podcast

Littledata's own Edward Upton is featured on a new episode of the Ecommerce Fastlane Shopify podcast! Check it out here:Episode 33: Get The Complete Picture Of Your Shopify Store's Performance With Deeper Marketing Insights .The eCommerce Fastlane podcast is the best in the business. It caters to ecommerce strategies, success stories, sales, traffic, and growth for Shopify Plus stores. In the new episode Ed discusses the Littledata Shopify reporting app and how you can make smarter business decisions for your Shopify store. As podcast host Steve Hutt puts it "It closes the loop on all of your data including your Shopify store orders, marketing channels, and lifetime customer value." In other words, your Google Analytics will never be the same. Littledata is a Shopify App Partner that has created an analytics platform that takes Google Analytics and literally puts it on steroids. It closes the loop on all of your data including your Shopify store orders, marketing channels, and lifetime customer value. Littledata offers a free connection with Google Analytics to make sure people get accurate reporting, more powerful marketing insights, and a more complete picture of ecommerce performance. Shopify's basic integration with Google Analytics doesn't capture all of the ecommerce journey events and attribution that stores want to have. That's where Littledata comes in, to make sure that you can get a better grasp of the customer journey. [subscribe] Our Shopify Plus connection automatically tracks the sales and marketing data you need to scale a Shopify Plus store. Here's a comparison chart between our tracking and the default tracking in Shopify. On top of fixing your data collection we've launched the first Shopify flow connector for Google Analytics. The connector enables Shopify Plus stores to automate tracking with custom events in Google Analytics. If you're a subscription business, we integrate with ReCharge to give you an accurate data stream. This means no more headaches when it comes to recurring orders and first-time orders. Say goodbye to the days when transactions from Shopify don't match Google Analytics, and say hello to accuracy! Littledata is the smart solution and we offer a free Google Analytics connection, plus a 14-day free trial on all of our plans - it's the smart way to connect Shopify Plus with Google Analytics. Don't forget to leave a review after subscribing to the podcast on iTunes, Stitcher, Google Play or wherever else you like to listen!

by Ari
2019-02-19

Our top 5 posts from 2018

Happy new year! With a lot of big things on the way for Littledata this year, including new Connections to automate analytics for an even wider range of popular ecommerce apps and platforms, we wanted to take a moment to look back on the posts you found most useful with our current feature set. Last year we reviewed our top posts from 2017 and found that the focus -- not surprisingly -- was on Shopify and Google Analytics. This time around, our most-read and most-shared posts have really honed in on individual features and connections, especially for larger stores using one of our enterprise plans for full account management and unlimited automation. Interestingly, 4 out of the 5 top posts have a title in the form of a question. Perhaps a sign of 'plugged-in' (ie distracted) readers looking for a sense of engagement? 1. What's the real ROI on your Facebook Ads? For the past decade Facebook’s revenue growth has been relentless, driven by a switch from TV advertising and online banners to a platform seen as more targetable and measurable. When it comes to Facebook Ads, marketers are drawn to messaging about a strong return on investment. But are you measuring that return correctly? 2. Why don't my transactions in Google Analytics match those in Shopify? If we had a nickel for every time we hear this question! In this popular post, our partner manager breaks down common reasons for ecommerce data inaccuracy between Shopify and GA, and takes a look at how to fix those issues automatically. Find out the top 6 reasons for inaccuracy, including some orders never being recorded in Google Analytics! 3. New help center articles on Shopify tracking and ReCharge integration With detailed new articles on Shopify tracking and how our ReCharge integration works, the new Littledata Help Center quickly became a go-to resource for current customers and ecommerce managers this past year. Even before they become customers, many ecommerce industry folks are using the help center to get a clearer view of how to use Google Analytics effectively. We're happy to help! 4. Are you looking at the wrong Black Friday metrics? Paying attention to the right ecommerce metrics can help you establish the best customer base and shopping experience for long-term growth. But many retailers still focus only on the most popular metrics — especially during the online shopping craze of Black Friday and Cyber Monday (#BFCM). Over the next few weeks ecommerce managers will be obsessing over data, but which stats are the most important? Two popular metrics — ecommerce conversion rate and average time on site — may be misleading, so in this post our CEO recommends looking instead at longer-term benchmarks. 5. Average order value benchmarks 2018: how do you compare? Increasing average order value usually has a dramatic impact on profits and ROI from marketing spend. It is also a gift that keeps on giving, as optimisation in this area is something that can deliver ongoing results over the long term. The holiday shopping period in 2018 had us obsessed with one of our favourite ecommerce metrics: average order value (AOV). How does your site compare? This popular post includes a new infographic that breaks down the stats, using our set of private benchmark data about the ecommerce industry.  

by Ari
2019-01-08

How to increase Average Order Value (AOV) on your ecommerce site

Average order value (AOV) is a bona fide north star metric for Shopify stores, and ecommerce companies more broadly. Increasing AOV is a priority goal for ecommerce teams as it directly boosts revenue (and profits, if you’re doing things right). Growing revenue often requires retailers to acquire more traffic, but with AOV you can increase sales simply by convincing shoppers to spend that little bit more. AOV can be improved by adopting a number of proven optimisation techniques. Many of these have their roots in offline retail, where price, promotion, placement and merchandising all play a part in persuading customers to buy additional - or more expensive - items. We’ll get onto these tactics soon enough, but for now let’s start at the beginning. What is average order value? AOV is the average amount spent by customers when they place an order. To calculate AOV you divide total sales by the total number of orders (typically over a certain period of time). You can monitor AOV via Google Analytics. If you’re using Littledata then you’ll see it on your dashboard and in ecommerce report packs. Why is average order value important? AOV is one of the primary KPIs in ecommerce. It is a measure of sales trends and reflects customer behaviour and buying preferences. This insight can be used to optimise your website, pricing strategy, and guide decisions on what you choose to sell. It is also a good indicator of your ability to optimise ROI, as your marketing budget will go that much further if you increase AOV. It is worth investing time and money into moving the AOV needle, as it will create universal uplift. Implement the right kind of tactics - and technology - and we are sure that you will see some positive results, especially if this is an activity you haven’t yet spent too much time on. The results? New and existing customers are likely to spend more with you whenever they buy. Better sales numbers, bigger profits, and various additional benefits. Just like the other ecommerce KPIs, it is best not to view AOV in isolation. Related metrics include customer lifetime value (CLV) and customer acquisition cost (CAC), particularly for ecommerce subscription businesses. How do I know if my average order value is in good shape? Littledata has robust benchmarking data from a sample of 12,000 ecommerce sites. You can drill down by category and revenue to see how you compare vs your peers. For example, we analysed AOV across 379 medium-sized ecommerce sites in September and found that $123 is the typical amount spent. But average is relative - it very much depends on the sector. Start a free Littledata trial to see your AOV alongside the benchmark for your sector (we will show you some other juicy metrics and benchmarks too). It will look like this: Pretty cool, huh? If you happen to be underperforming in any area then our app will suggest some proven optimisation ideas to help you improve your store. Other stores have used our ecommerce benchmarks to grow sales, and we're confident that you will experience similar results. What affects average order value? Lots of things influence how much people spend when they buy from your site. Consider the last time you bought a higher priced item, such as a TV, laptop or mobile phone. More often than not there are upsells and cross-sells as you progress down the purchase path. You end up buying related items (mobile phone cases), upgrading your initial choice (256MB memory vs 64MB), purchasing add-ons (extended warranty), or clicking on a compelling product bundle (phone + case + warranty = 15% off). This kind of buying behaviour helps ecommerce teams to sleep soundly at night. It is to be encouraged. A real world example Apple is an absolute master of maximising AOV. Let’s take a quick walkthrough of one of its purchase pathways. First, we’ll select a Macbook Pro and will then see the following page, which invites us to customise our order. Add a little more memory and one item of software, and the order value increases by about 30%. Boom. Now let’s click the ‘Add to Bag’ button. We’ll progress to an ‘Essentials’ page. Yet more ideas to help us spend extra money. Think we’re all done? Not so fast. Click on ‘Review Bag’ and you’ll enter the checkout. Note the ‘Related Products’ that appear underneath the basket summary. Is it any wonder that Apple is valued at more than one trillion dollars? How can I increase my average order value? The million dollar question (or maybe a few billions, in the case of Apple). The researchers for our newest product feature - called Missions - have discovered plenty of ideas for you to try out. Littledata Missions provide step-by-step guides to help ecommerce teams optimise performance, and AOV was one of the very first metrics we wanted to explore. The following ideas are taken from our Average Order Value Fundamentals mission. There are a bunch of others in there to try too. Missions automatically generate based on your ecommerce benchmark data in the Littledata app (try Missions for free today). I’ll wager that at least one of the following will help you to grow AOV. And a super combo might seriously move the dial. Once you’ve optimised AOV - and there might be a ceiling - you can work on increasing purchase frequency, customer referrals, and then scale up your customer acquisition efforts. So then, here are 12 ideas to help you start to grow average order value... 1. Provide free shipping for orders above a certain amount Betterware grew AOV by 20% after introducing free shipping for orders above £30. M&S also provides free standard delivery for orders that exceed £30, as seen in the screenshot. A study by UPS found that 58% of consumers would add extra items to their cart in order to qualify for free delivery. As such this is a great way of increasing average order value. Free delivery is an expectation these days, so if you're late to the party - and concerned about margins - then a minimum threshold is worth testing. 2. Offer minimum spend discounts Much like introducing a free shipping threshold, you can provide a discount if the customer spends a certain amount on your site. Although it might seem to go against the goal of increasing average order value, setting offers such as this can tempt visitors into spending whatever is necessary to achieve the discount, because it appears like a deal. There are a number of ecommerce plugins to help with this. A lot of happy Shopify stores use the Product Discount app. 3. Make the most of up-selling Up-selling is the art of convincing prospective customers to increase their spend, typically by buying a more expensive item to the thing they're looking at. For example, in the screenshot below we can see how Amazon shows higher priced TVs to the one initially selected. By listing out the features side by side it may be enough to convince the prospective buyer that the next model up is a more attractive option. This is a sure-fire way to increase average order value, though it's not without its risks as you'll need to change the shopper's mind about something ("You don't really want that, you want this."). So be careful when experimenting with up-selling techniques. 4. Embrace cross-selling Amazon has attributed around 35% of its revenue to cross-selling. Not exactly small change. As such it is crucial to find a cross-selling strategy that works for your website. Cross-selling is the science of persuading customers to buy additional products related to the thing they’re about to purchase. For example, buy a camera and you might see recommendations for camera cases, bigger memory cards, battery chargers, etc. Adding items to the basket in this way is highly likely to increase average order value. However, it is important to specify which customers receive cross-sell offers. You should certainly think twice before cross-sells to customers who regularly return items. 5. Allow customers to use live chat A Forrester study found that there is a 10% increase in order value from customers who used the live chat function. The study also discovered that live chat helps to increase revenue by 48% per chat hour, and increased conversion rate by 40%. The business case for live chat would appear to be strong. Why is this? Mainly because customers like the immediacy - and familiarity - of chat. It has been reported that 73% of consumers who have used live chat were pleased with the experience. So, live chat is good for AOV, sales, conversion rates and customer satisfaction. What's not to like? [subscribe] 6. Show how others have enjoyed the product Average order value is 6% higher among shoppers who read reviews, compared with those who don't bother, according to a Bazaarvoice study. Positive social proof is incredibly powerful. It goes a long way towards encouraging people to progress to the checkout. Social proof comes in many forms, from reviews and ratings to testimonials and buyer videos. Make it highly visible at key points in the buyer journey, to build trust and reinforce the decision to buy. 7. Offer financing for high-ticket items Analysis by Divido has shown that sales can increase by 40% when high-ticket items are offered in monthly instalments. Your most expensive items are the ones which can be heavily responsible for driving up your average order value. If you offer customers the option to pay in instalments it can help you sell more of these higher valued products. For example, Goldsmiths offers shoppers 0% interest-free credit on purchases which total more than £750. This may appeal to people looking at items in the £500+ range - they might end up being tempted to spend more once they see the financing available. 8. Offer volume-based discounts Office supplies company Paperstone generated a 19% average order increase when a bulk discount deal was offered. As well as helping to grow AOV, strategic discounting can be great for clearing out excess inventory. However, remember that it is important to calculate bulk discounts very carefully. You need to offer deals that attract customers, but which do not hurt your profit margins. 9. Use dynamic retargeting to increase average order value Stella & Dot increased AOV by 17% after experimenting with dynamic retargeting, which allows ecommerce firms to show shoppers the right kind of ads during the shopping journey (such as product recommendation ads, based on their browsing behaviour or purchase history). This technology also recaptures lost sales from visitors who leave websites, by showing them personalised offers to re-engage them. 10. Send personalised emails OneSpot found that average order value increased by 5% upon the personalisation of emails. Simply put, customers are more likely to feel valued by your site if you provide them with messages that are relevant to their specific interests. Personalisation often starts at the customer's name ('Dear sir' won't cut it), but extends to the content of the email. If this is based on prior browsing and purchase history then you're more likely to engage the shopper, to reinforce - or complete - the purchase. 11. Offer a gift card or loyalty scheme By offering customers rewards for shopping with you, you’re likely to see an increase in orders, as well as an increase in the size of those orders. It has been shown that offering rewards for purchases 15-20% above average order size can increase the amount people are willing to spend. Encouraging big spenders to buy more frequently will also have the effect of increasing AOV. A study by BigDoor found that loyal customers make up 70% of total sales in some cases, so it is important to give something back to those customers once in a while. 12. Create product packages A case study into BaubleBar, a jewellery site, showed that average order value increased significantly when product bundling was offered. One pair of its earrings costs $30, but a bundle of three is just $48. This bundle screams “deal” to a customer. BaubleBar saw its average order increase by $22 in a matter of days. Bundling reduces cognitive load. If you can help shoppers avoid thinking too much then you're onto a good thing. Bundles can be viewed by visitors as a valuable deal, especially if they contain products which supplement the one they are already interested in. Packaging up items this way can be incredibly persuasive, particularly when you're offering a discounted price. They can also save the shopper time - no need to browse for add ons. Start the AOV mission today In summary, trying to increase average order value is worth the effort, and will be a gift that keeps on giving once you move the dial in the right direction. You can launch the Average Order Value mission directly from your Littledata dashboard. Our app will track your progress as you test ideas to discover what works best for your site. People trust Littledata to audit, fix and automate reporting. They use our benchmarks to check and compare their performance, relative to their peers. And now, with Missions, digital teams can actively set about increasing ecommerce revenue.

2018-10-25

Is it worth attending that ecommerce conference?

Ecommerce conference season is upon us. In the past few weeks, the Littledata team was at Shop.org in Las Vegas, Paris Retail Week, and the Google Expert Summit in Waterloo, Canada -- three very different events in three rather different countries. Then we also hit up Agile Cambridge and Technology for Marketing in the UK, the UPRISE fest in Dublin, TechDay LA in sunny Los Angeles and the BigCommerce partner summit in Austin. And while we unfortunately couldn't make ReCharge's Recur event for the subscription industry, or Hawke Media's Hawkefest, the ultimate anti-conference, many of our partners and merchants were there and had awesome things to say. But wait a second. Slow down! With so many exciting events to potentially attend during what is already one of the busiest times of year for those of us in the industry (Black Friday is just around the corner from a marketer's perspective), how do you choose? Is that conference you've been debating attending really worth it? If we've learned anything... Over the years I've had a mixed experience with conferences. But with Littledata we've found a good rhythm. Of course it helps that we're on the cutting edge of new technology, actually using AI and machine learning as opposed to just talking about it, and that we already have major customers around the world, even though we're technically still a 'startup'. This gives us a wide range of high-quality speaking and learning opportunities. But at the same time our productive conference experiences haven't happened by accident, whether for ecommerce or general tech events. We've found such a good conference rhythm -- a dance that produces a consistently high ROI on in-person events -- by looking closely at our own data on a quarterly and yearly basis. Our strategy is always evolving, but some stats have been consistent. For example, we discovered that at the right events: Though we don't necessarily have a higher win rate for enterprise leads from conferences, the sales cycle is condensed, on average 3x faster from meeting to close. This saves our sales team valuable time chasing down leads, and also helps us improve our product, pitches and processes at a faster rate. Agencies we meet in person are 4x more likely to refer us a customer within the next 30 days -- even if we never did a formal product demo. What's your company's take on conferences? Here are a few insights that might help you get more out of the conference experience, whether that means big tech industry events or smaller, focused meetups. [subscribe] There is no such thing as a must-attend conference The great irony with ecommerce conferences is that they tend to be scheduled at what are already busy times for those of us in the industry. Whether it's the shows we attended these past 6 weeks that overlapped with everyone getting back to work after summer holidays, or European standbys like NetComm Suisse's later fall events and One to One in Monaco every March, right after SXSW in Austin, it's either an embarrassment of riches or -- depending on your perspective -- a really confusing hodge podge of hard-to-classify opportunities. There are simply too many choices, and it's especially hard to decide whether to attend a tech conference or meetup if your company has never attended that particular show before. One thing I love about our industry is that merchants (stores and ecommerce managers) and vendors (apps, platforms, consultants, designers and agencies) are all in the same boat. In short, we have no time for BS. We want events that focus on real information, emerging technologies and human connection. So how do you decide? First things first, make your own list. There are a ton of blog posts out there about 'must attend' conferences, those 'not to miss'. Give me a break! Every business is unique, and you're only as viable as your buyer personas. So make a list of conferences, events and meetups that might help connect you with your prime customers and best partners. Brainstorm, look online, ask around. Make your own list and plan to review every quarter. Then once you've made that list, on paper or Trello or however you work best, go through the following checklist with as many members of your team as possible, especially if you can bring in decision makers from both Product and Marketing. A simple checklist When deciding if you should attend a conference for the first or second time, it's useful to have a checklist for quick, consistent analysis. The checklist I use is deceptively simple. It has only 5 indicators. Would one significant sale pay for itself in terms of customer acquisition cost (CAC)? If the conference did work out, is it something you would attend every year? Would it be the right place for you to speak, either now or in the future? Is this your scene, your community? Are there companies, merchants, agencies, vendors etc. attending whom you wouldn't see any other time this year? (Even just one counts, if sufficiently high-value.) In short, if you can tick all five boxes then you should attend the conference. If you can only tick four, it's probably worth attending but needs more debate. If this is the case, then considering point number one in detail -- looking at your current LTV/CAC ratio and considering how the conference could help improve or at least maintain it -- is essential. For ecommerce tech companies like our own, this generally means one big sale or partnership. For ecommerce sites it can also take the form of discovering new tech (like Littledata, Klickly or ReCharge) that will help increase sales and marketing ROI. If you can tick all five boxes then you should definitely attend the conference The checklist works even if you've already attended the conference in the past. Just consider point two already covered and proven! If you're in the ecommerce space, definitely consider platform-specific conferences. Shopify and Magento have regular events and meetups around the world, and word on the street is that BigCommerce will be really ramping up their local partner events in 2019. Shopify Unite has consistently been that rare conference that ticks all the boxes for us here at Littledata, but that doesn't mean we're ignoring others that only tick four. We've cast our net wide (using the checklist of course) and are still seeing results. If you want to get a head start on conference browsing for next year,  Veeqo has created a calendar of best worldwide ecommerce conferences for 2019. Across the board remember this: success at a conference almost never comes in the form of expected outcomes. Yes, the best outcomes will be aligned with your sales and marketing goals, but sometime the biggest benefits will not be clear for 3, 6 or even 12 months down the line. That's why we do quarterly and yearly reviews of all in-person activities, from networking events to large conferences. I suggest you do the same. Most importantly, have fun! Gone are the days of boring trade shows. Show up. Make connections. And if we're there too, come say hi! Maybe nobody can make analytics sexy, but we at least promise to make them useful. And usefulness is a good place to start...

by Ari
2018-10-23

Categorising websites by industry sector: how we solved a technical challenge

When Littledata first started working with benchmark data we found the biggest barrier to accuracy was self-reporting on industry sectors. Here’s how we built a better feature to categorise customer websites. Google Analytics has offered benchmarks for many years, but with limited usefulness since the industry sector field for the website is often inaccurate. The problem is that GA is typically set up by a developer or agency without knowledge or care about the company’s line of business - or understanding of what that industry sector is used for. To fix this problem Littledata needed a way to categorise websites which didn’t rely on our users selecting from a drop-down list. Google Analytics has offered benchmarks for many years, but with limited usefulness since the industry sector field for the website is often inaccurate. [subscribe] The first iteration: IBM Watson NLP and a basic taxonomy Our first iteration of this feature used a pre-trained model as part of IBM Watson’s set of natural language APIs. It was simple: we sent the URL, and back came a category according to the Internet Advertising Bureau taxonomy. After running this across thousands of websites we quickly realised the limitations: It failed with non-English websites It failed when website homepage was heavy with images rather than text It failed when the website was rendered via Javascript Since our customer base is growing most strongly outside the UK, with graphical product lists on their homepage, and using the latest Javascript frameworks (such as React), the failure rate was above 50% and rising. So we prioritised a second iteration. The second iteration: Extraction, translation and public APIs The success criteria was that the second iteration could categorise 8 sites which the first iteration failed with, and should go on to be 80% accurate. We also wanted to use mainly public APIs, to avoid maintaining code libraries, so we broke the detection process into 3 steps: Extracting meaningful text from the website Translating that text into English Categorising the English text to an IAB category and subcategory The Watson API seemed to perform well when given sufficient formatted text, at minimal cost per use, so we kept this for step 3. For step 2, the obvious choice was Google Translate API. The magic of this API is that it can detect the language of origin (with a minimum of ~4 words) and then provide the English translation. That left us focussing the development time on step 1 - extracting meaningful text. Initially we looked for a public API, and found the Aylien article extraction API. However, after testing it out on our sample sites, it suffered from the same flaws as the IBM Watson processing: unable to handle highly graphical sites, or those with Javascript rendering. To give us more control of the text extraction, we then opted to use a PhantomJS browser on our server. Phantom provides a standard function to extract the HTML and text from the rendered page, but at the expense of being somewhat memory intensive. Putting the first few thousand characters of the website text into translation and then categorisation produced better results, but still suffered from false positives - for example if the text contained legal-ease about data privacy it got categorised as technical or legal. We then looked at categorising the page title and meta description, which any SEO-savvy site would stuff with industry language. The problem here is that the text can be short, and mainly filled with brand names. After struggling for a day we hit upon the magic formula: categorising both the page title and the page body text, and looking for consistent categorisation across the two. By using two text sources from the same page we more than doubled the accuracy, and it worked for all but one of our ‘difficult’ websites. This hold-out site - joone.fr - has almost no mention of its main product (diapers, or nappies), which makes it uniquely hard to categorise. So to put it all the new steps together, here’s how it works for our long-term enterprise client MADE.com's French-language site. Step 1: Render the page in PhantomJS and extract the page title and description Step 2: Extract the page body text, remove any cookie policy and format Step 3: Translate both text strings in Google Translate Step 4: Compare the categorisations of the title vs page body text Step 5: If the two sources match, store the category I’m pleased that a few weeks after launching the new website classifier we have found it to be 95% accurate. Benchmarking is a core part of our feature set, informing everything that we do here at Littledata. From Shopify store benchmarks to general web performance data, the improved accuracy and deeper industry sector data is helping our customers get actionable insights to improve their ecommerce performance. If you’re interested in using our categorisation API, please contact us for a pilot. And note that Littledata is also recruiting developers, so if you like solving these kind of challenges, think about coming to join us!

2018-10-16

Are you benchmarking your ecommerce site in the right sector?

Littledata launched benchmarks for websites two years ago. They quickly became a key feature of our app, and as customers became more engaged, so did ideas for how to improve our benchmarking and the algorithms that learn from those benchmarks. In response to customer feedback and deeper research into industry sectors, we've made some really exciting improvements over the last few months to make the comparisons even more useful -- and even more dynamic. The changes are five-fold. Detailed sectors and sub-sectors. Almost every customer we talked to said the benchmark comparison was most useful if it was for very similar sites. Previously we only had 50 high-level sectors to compare with; now we have hundreds of low-level sectors. You can visualise the full range. Smarter auto-categorisation of your website. Our machine learning process now has a 95% chance of finding the best sector for your website, meaning you can compare against the most useful benchmark without filling in a single form! Ability to manually change industry sector. And of course, if you're in that 5% that needs human input, then you (or your Enterprise account manager) can pick a better sector in the general app settings page. You might also want to change sectors just to see how you compare. No problem. Benchmarks for technology stacks. Want to see if you are making the most of a technology such as Shopify or Yieldify? Now you can compare with other sites using the same technology, making our ecommerce benchmarking even more powerful for agencies and web developers. Benchmarks for starter websites. Previously we only generated benchmarks for sites with at least 500 monthly visits. We dropped that to 200 monthly visits, so starter websites can see a comparison - and see more detail as they grow. We've launched a live visualisation of how our AI-based website categorizer is mapping a range of industry sectors. It offers a full overview of website categories and segments. And you can drill down to see more details. For example, we've seen a big rise in wine, coffee and health shake retailers this year, many of whom are using our ReCharge integration to get insight into their subscription business models. As our algorithms learn about ecommerce businesses selling beverages of many varieties and automatically categorises sites accordingly, you can now look closely at a particular segment to see how your site compares. Littledata is an Agile company. We're constantly iterating, and continuously improving the benchmarks to make them more actionable, so please give us feedback if you'd like to see more. Happy benchmarking! [subscribe]

2018-09-25

New help center articles on Shopify tracking and ReCharge integration

We recently launched the Littledata Help Center to make it easier for customers to find the most relevant answers to their analytics questions. You can think of it as the more formal, technically-minded cousin of our popular analytics blog (which you're reading right now). With detailed new articles on Shopify tracking and how our ReCharge integration works, the Littledata Help Center is a go-to resource for current customers and ecommerce managers looking for a clearer view of how to use Google Analytics effectively. About our Help Center Like many startups, we began by using our blog as the main support resource, with articles on everything from Google Analytics to GDPR. Yet as we've grown, so have the number of setup guides and technical details we feel we should provide for a seamless user experience. In short, our support articles have outgrown the blog! Not to worry, blog fans. The blog will continue to be a resource for anyone interested in ecommerce analytics. We've been honoured at all the industry attention our blog has received, and we look forward to growing both resources side-by-side in the coming years. Shopify tracking Until you know what to look for, choosing the right Shopify reporting app can seem like a daunting process. There are a number of apps that are good at tracking just one thing, or helping you visualise some of the tracking you already have set up. Littledata's Shopify app is different. It's become especially popular with Shopify Plus stores and medium-sized Shopify sites on the enterprise growth path because it fixes your tracking and provides a full optimisation suite, including automated reports, benchmarks and buyer personas, to help optimise for dramatically higher revenue and conversions. New support articles help break down how this all-in-one solution works, including what you can track with our Shopify reporting app and setup guides for basic and custom installations. [subscribe] ReCharge integration Advanced Google Analytics integration for stores using ReCharge is one of our most popular integrations. It's a streamlined way to get accurate subscription analytics, including marketing attribution and LTV reporting. New support articles break down how ReCharge integration works with Littledata. You'll find guides on everything from how to check if the integration is working, to FAQs and more technical articles about tracking first-time versus recurring payments with GA views. We hope you take full advantage of Littledata's Help Center. Of course, you can always reach out to our support team directly from the Intercom popups on our blog, public site and app. We're available Monday to Friday in time zones around the world. Don't hesitate to get in touch, and remember -- your success is our success!

2018-08-21

Get the Littledata analytics app

Complete picture of your ecommerce business. Free Google Analytics connection, audit and benchmarks.

Sign up
No Thanks
We respect your privacy. Your information is safe and will never be shared.
Don't miss out. Subscribe today.
×
×