As a business intelligence services firm, Lovelytics uses Tableau and data as a means of providing clients with a better understanding of their business data to make smarter decisions

Lovelytics

Want to create a food ordering app like Grubhub or UberEats? Not sure what tech stack to choose and what all to integrate? No problem. In this blog, I’ve covered (almost) all key points that connect the dots for creating a food delivery app like Uber Eats and GrubHub. Read on and know more about everything that takes to create apps to order food online. A food delivery app is not an unprecedented concept. More and more brands are entering the market for catering to the requirement of delivering sumptuous food online. Even amidst the challenging times of COVID-19, the online food ordering industry was booming with its contact-less delivery. Doordash, Grubhub, GoPuff, Postmates, etc., Technological advancement unlocked several opportunities for restaurants and eateries, which in return, evolved the food industry. As per the statistics, the . By 2027, these figures are expected to rise by 223.7 billion USD. global online ordering of food was estimated at 130 billion USD in 2022 Furthermore, another survey revealed that 27% of consumers in the US are willing to pay extra for fast delivery for their online orders. The US Department of Agriculture estimated that up to 54% of Americans spend a major chunk of their budget on ordering food online. There’s more for you to read ahead. Let’s dive in and absorb more information about creating apps to order food. But before proceeding with building an app, it is essential to understand and address the potential challenges. Once done with this, creating a food delivery service app would become a cakewalk. Potential Challenges That Should Be Addressed We’ve listed the common challenges that would simplify food delivery app development. Not Identifying The Market Needs If an app is not developed keeping in mind its target audience, most probably it would not sustain in the competition. Going through the competitor apps, figuring out the loopholes in them, and trying not to mess up by doing the same can save the app from getting buried. Outlining the segment that competitors have missed can give an upper edge. There are numerous food delivery service apps on the App Store and Play Store, but they do not cover everything. Identify those points and hunt the shark. Avoiding Vetted Analyses of Features Do you know what makes Doordash atop its competitors? The features like stability & performance are two prominent pillars that make this online food delivery app remain one level up as compared to its competitors. Statistics show that Doordash recorded 59% of sales in April 2022. It is because of two reasons- simple features that do not overwhelm the user and delivering alcohol by partnering with liquor stores. It’s a myth that more features would bring in the green shoots for food ordering apps. Sometimes, integrating several features can perplex users & impact the performance of the app negatively. Hence, food ordering app developers should look forward to including limited & necessary features. Not Developing an MVP like UberEats, Doordash, and Grubhub didn’t look the way they are today. It took them years to evolve after studying the market trends and requirements for sustaining in the competition. Food delivery apps Hence, it becomes vital to understand & integrate the necessary elements for the success of the app. For food ordering apps, it is essential to partner with local restaurants. Being a newbie in the industry, creating strong partnerships with restaurants and grocery stores becomes essential. These concerns should be addressed by food delivery app developers before proceeding to create food delivery services like the Grubhub app or Doordash. It would keep the technical and marketing pitfalls at bay, which in return, would guarantee success. Now, let’s understand the workflow of a food delivery app. Revenue Models of Food Ordering Apps Usually, food ordering apps have 3 types of revenue models: Subscription- Restaurant owners pay an annual fee to a platform to get their restaurant listed on the app. Advertisement- Restaurants buy premium listings that are run as sponsored ads. These are usually shown on the mobile/desktop website that catches the user’s attention. Commission- The platform chosen for operations deducts a specific percentage of earnings as commission. The fees vary by restaurant’s earnings and scale between 5-20%. The Must-Haves of Food Ordering Apps There are some vital elements that cannot be ignored in creating the best food delivery app. For food delivery app developers, it is essential to get the gist for integrating features because food delivery apps are used on two sides- the user panel and the admin panel. Maintaining a balance is a must because too many features can overwhelm the user.  Hence, integrate only the required features, according to the panel, as stated below: For User Panel Hassle-free registration & login Users should be able to register with the app & create an account without facing complexities. Login must include signing up with social integration (Gmail/Facebook), mobile number, or OTP confirmation. The registration and login should be kept simple. Search Option & Geolocation Users should be able to search for their preferred restaurants as per their location. By detecting the location of the user, the app must display the nearest restaurants available that offer paid or free delivery. Menu & Order Placement The app must display the menu of the selected restaurant. Once the dish has been selected, the user should be able to place the order, make the payment, and checkout. Payment Gateways & Order Tracking Food delivery app developers should integrate different payment options (CoD/UPI/Card/E-Wallet). Soon after making the payment, the details along with the invoice should be displayed on the screen. Users should be able to track the order status & real-time location of the delivery partner as well. Reviews & Ratings Since feedback is vital and helps to grow, developers must integrate an option for rating and reviewing order(s). Users can drop their suggestions based on their experience. For Admin Panel Here’s the list of features that must be included on the admin side of the app. Dashboard The dashboard of the app allows tracking of the overall operations of the business. It covers tracking the number of orders received, delivered, and canceled in a day. Apart from these, the dashboard also includes an analytics section where leading restaurants are listed. Individuals can perform R&D for gaining insights into better business development. Acceptance/Rejection of Orders Owing to several reasons, whether specified or non-specified, restaurants reserve the right to accept/reject orders. Some commonly specified reasons include distance and workload during peak hours. Accepting/rejecting orders can be managed within the admin panel. Payment Management The admin panel gives access to managing the payment section as well. Under this section, the admin can specify acceptable payment methods related to an order. It could be CoD, UPI, or E-wallet. Coupons & Offers Another major must-have for food ordering apps is the coupon section. Admin can provide exclusive deals & discounts to customers on their fast food orders. In order to create the best food delivery app, selecting the right tech stack becomes mandatory. Using the right programming language, an app can soar to greater heights. Here’s a quick look at the tech stack needed for creating apps to order food. Tech Stack Required for Creating Food Delivery Apps The performance of the food delivery app remains the foremost concern for users. Conceived using the right wireframe and technologies, a food delivery app would work like a finely-oiled machine when it has stability and performance. We’ve compiled a list of technology stacks that would help in creating food delivery apps. Programming- Flutter, React Native, Kotlin Cloud services- Cloud Sigma, AHU Registration- Facebook SDK, Google sign-in Payment- Google Pay, Amazon Pay, PayPal Geolocation- Google Maps Analytics- Google Analytics, Localytics Food Delivery App- Over To You Considering the pace of the ever-evolving industry of online food ordering, the future of food delivery apps is bright. Industry sharks like Uber Eats, Doordash, and Grubhub are leading the market, but with continuous tech upgrades, there’s room for more . food ordering apps Creating the best food delivery app wouldn’t be a tough nut to crack if the developer has the right vision & approach. By understanding the market trends and expectations of users, developers can conceive the desired food delivery app.

Building A Food Delivery App

Why Implementing Microservices on AWS Is Indispensable to a Modern Architecture for Business Agility

It’s been a . The tech giant celebrated the ten-year anniversary of the App Store, reached some new money milestones, saw PR highs and lows, and introduced a slew of new toys. iOS app development teams got some new technology to play with: iOS 12, , and ARKit 2. The upcoming year promises to have plenty more in store, with including more changes in screen size, improved graphics, and the iPhone 11. rollercoaster of a year for Apple Siri Shortcuts 2019 predictions With so many new innovations, mobile app professionals have their work cut out for them if they want to keep pace. Faster performance and edge-to-edge display mean less user frustration and more screen real estate to play with, but product teams should be sure that their app meets user expectations with every new update and feature. This is where choosing the right iOS app analytics tools plays an essential role. Vendors are continuing to expand their capabilities, build additional integrations, and add new features. To help you make an educated decision on what tools to use, we created a new and updated list of the best app analytics tools on the market. We researched the analytics SDKs used by the top apps in the App Store and listed their key features and pricing. Bear in mind that building any app analytics stack often takes more than one SDK, so pay attention to the key features for each tool. Many of them offer free trials, so you can mix ‘n match until you find a combo that suits your needs. Without any further ado, here are the 13 best iOS app analytics tools for 2019. Which one(s) will you be using to give your app its best year yet? iOS App Analytics Tool #1: Firebase “Firebase helps mobile app teams succeed.” Image: Firebase Built on Google infrastructure, Firebase is a suite of products that can be used individually or combined to expedite and improve app development, user experience, and growth. Firebase’s powerful iOS app analytics can track users from acquisition to in-app usage across different platforms. Firebase uses machine learning to offer smart user segmentation and predictive analytics. iOS developers can also use Firebase to monitor performance issues with the popular Crashlytics tool. Features: Predictive analytics Crash reporting with Crashlytics Cross-platform user tracking Integration with Google’s suite of mobile tools Price: Free, fixed price, and pay-as-you-go plans Free Trial: Yes iOS App Analytics Tool #2: Appsee “Understand in-app experience like never before” Image: Appsee The market leader in qualitative app analytics, Appsee’s robust platform goes beyond numerical metrics and offers powerful out-of-the-box tools for product managers, UX/UI designers, developers, and mobile marketers. Appsee provides session recordings and touch heatmaps that show exactly how users experience each screen and feature of the app. These tools are combined with features such as conversion funnels, crash reporting, navigation paths, and UI analysis. They help ensure deep, actionable insights on user behavior, usability, navigation, and more. Appsee helps entire mobile app teams make data-driven decisions faster, , and increase retention and conversion rates. reduce guesswork Features: Qualitative analytics: user session recordings, touch heatmaps Crash analytics and reporting via email, Slack, or SMS alerts Conversion funnels, action cohorts, and navigation paths Automatic tagging of events and gestures Price: Free, Premium and Enterprise plans Free Trial: Yes iOS App Analytics Tool #3: Mixpanel “Create products and experiences that people love.” Image: Mixpanel Mixpanel enables product and marketing teams to take intelligent action on their data with automatic insights powered by machine learning. Mixpanel’s extensive platform includes tools such as user flows and conversion funnels that help understand user behavior and increase engagement, retention, and loyalty. Mixpanel’s Predict feature can even make predictions on future user behavior and conversions. Mixpanel also goes beyond the analytics arena and includes tools for re-engagement through email, push notifications, and in-app messaging, and for running A/B tests within the platform. Features: Automatic Insights Predictive Analytics Conversion funnels Price: Free, Startup plan, Enterprise plan on request Free Trial: Yes iOS App Analytics Tool #4: Flurry “Actionable analytics for your mobile apps” Image: Flurry One of the most popular iOS app analytics tools out there, Flurry can track and compare metrics in real time across your entire app portfolio, including iOS, tvOS and watchOS apps. Flurry’s customizable dashboards zoom in on user actions, acquisition, conversion, retention, and revenue. You can even use Flurry’s machine learning to get predictions of audience metrics such as age and gender. Flurry also includes classic in-depth tools such as cohorts, user paths, and conversion funnels, as well as a crash analytics feature. Features: Predictive analytics User paths Customizable dashboards for acquisition, conversion, and retention Price: Free Free Trial: Yes iOS App Analytics Tool #5: Adobe Analytics “Eat, drink, and breathe insights with Adobe Analytics.” Image: Adobe Analytics Adobe Analytics is a tool catered towards enterprise apps , and provides a comprehensive suite of tools from attribution to marketing. These tools include advanced segmentation, user flows, and cohorting, among others. Adobe’s analytics tools collect data in real time. They also include predictive analytics based on AI and machine learning that can predict future behavior such as churn or conversion prediction. Features: AI and machine learning based predictive analytics Automatic anomaly Detection User flows and cohort analysis Price: Enterprise Free Trial: No iOS App Analytics Tool #6: Keen “Ship user-facing metrics in an afternoon, not months” Image: Keen Keen IO is a cloud-based analytics database for developers to create “an alternative to an in-house analytics database”. It streams data on any user interaction in real time, then stores it in a database that’s optimized for storing event data. As soon as the data is collected, developers can use Keen’s APIs to run analysis on them. With simple queries, mobile app professionals can then use the platform to view custom dashboards with funnels, segmentation, cohort analysis, and more. Features: Batch upload historical data Custom event tracking with rich attributes Customizable dashboards Price: By usage Free Trial: Yes iOS App Analytics Tool #7: Localytics “Real-time insights fuel smarter mobile app engagement” Image: Localytics Localytics combines a strong marketing automation platform with mobile analytics features for increasing engagement and improving features. Localytics analyzes entire user journeys and can even track app uninstalls. Customizable dashboards and filters enable at-a-glance insights that give each member of the mobile app team a detailed overview of the data that are most relevant to them. Localytics also includes an industry benchmarking feature so that you can compare your mobile app to others in the industry. Features: Predictive analytics Uninstall tracking Industry benchmarks Price: Upon request Free Trial: No iOS App Analytics Tool #8: Amplitude “Product Analytics for Startups” Image: Amplitude Amplitude helps you answer your user behavior questions and increase conversion rates by analyzing each user interaction. One of Amplitude’s biggest strengths is its powerful action cohort tool, which helps understand how users interact with the app and what brings them back. Amplitude can identify different personas that are likely to convert or become loyal users. Amplitude Insight uses machine learning to send smart alerts about various KPIs, helping mobile app teams stay one step ahead of fluctuations in conversion and retention. Features: Behavioral Cohorting Machine learning based smart alerts Single-user analysis Price: Free/paid plans Free Trial: No iOS App Analytics Tool #9: Adjust “Discover user behavior in real time” Image: Adjust Adjust provides end-to-end app analytics for mobile marketers, from attribution to uninstall/reinstall. Its customizable event tracking can cover every event and conversion goal, from the initial download and signup process to purchase completion. Adjust’s cohort analysis helps discover patterns in user behavior by segmenting users according to various metrics and filters. The Adjust dashboard is known for its sleek user-friendly design, and is also highly customizable. Features: Uninstall tracking Funnel and cohort analytics Customizable event tracking Price: Upon request Free Trial: No iOS App Analytics Tool #10: Apple App Analytics “Gain Insights with Analytics” Image: Apple Apple’s App Analytics, via App Store Connect, is included with the Apple Developer Program membership so there’s no need for coding or complicated setups. The free iOS app analytics platform tracks basic metrics for user engagement and marketing across iOS, macOS, and tvOS apps. It also provides data on user acquisition from the App Store and a crash analytics tool that filters crashes by iOS and app versions. Features: User engagement metrics App Store acquisition data Crash analytics Price: Free Free Trial: No iOS App Analytics Tool #11: Pendo “Pendo Makes Software Lovable” Image: Pendo Pendo offers in-depth product analytics that helps you understand who your power users are and what users actually do in the app. Pendo’s segmentation feature includes side-by-side comparisons of user behavior across various segments. If your company has multiple apps, you can use Pendo’s analytics tools across your entire portfolio of products and compare performance, engagement, and retention. You can even use Pendo to optimize your app with A/B testing and run experiments without having to write any code or even issuing version updates. Features: Custom segmentation A/B testing In-app messaging, surveys, or walkthroughs Price: Upon request Free Trial: No iOS App Analytics Tool #12: Countly “Secure and extensible product analytics” Image: Countly Countly’s customizable dashboards use plugins that you can choose in order to track user behavior analytics, crashes, retention, and even revenue. Funnels, user flows, and cohort analytics show you how users navigate through your app and where they drop off. Countly’s “Drill” tool helps answer pressing questions by delving deeper into the app’s data with a user-friendly built-in query builder — no complex SQL required. Another useful feature displays single user journeys to let you see how specific users navigate through your app. Countly supports iOS, watchOS, tvOS and macOS. Features: Funnels, cohorts, and user flows Easy to use query builder Crash analytics Price: Free/tailored paid plans Free Trial: Yes iOS App Analytics Tool #13: Heap “The New Standard in Tracking Customer Data” Image: Heap Heap is a code-free, point-and-click way to understand user behavior with both aggregate and single-user level iOS app analytics. It enables teams to make data-driven decisions faster by automatically collecting data on every user interaction, across different channels. Heap’s conversion funnels provide information across user segment or attribution channels to pinpoint exactly where users dropped off and help understand why. The dynamic cohorting feature enables creating segments of users and then combining them with a variety of user attributes. This helps understand user preferences and improve LTV. Features: Point-and-click, code-free setup with the Event Visualizer Cross-channel analytics Conversion funnels and dynamic cohorting Price: Free for small projects, fixed price for SMBs, price on request for enterprise Free Trial: Yes TL;DR: As iOS app development teams gear up for another exciting, challenging, and action-packed year, now is the time to review your analytics stack. Choosing high-caliber analytics for your iOS app can make the difference between a substantial improvement in KPIs and a dangerous drop. Why? If you and your team don’t understand what the data from your analytics actually means, you’ll end up wasting time and resources on guesswork, confusion, and mistakes. A good analytics tool will help you answer the right questions, and instead of creating more confusing ones. Before you plunge into your 2019 roadmap, make sure you have powerful tools in your toolbox. Shopping around for other tools, such as attribution, A/B testing, marketing, or crash analytics? Download our free Ultimate SDK Guide for a catalogue of the best mobile app SDKs of the year. Want more advice on using mobile app analytics without losing your head? _‘Analytics’ is a scary word. It often implies charts full of numbers, screens covered in technicolor graphs, and time —…_medium.com How To Succeed in Mobile App Analytics Without Really Trying

The Apps Have Spoken: Top 13 iOS App Analytics Platforms [2019]

Navigating the map of corporate IT can be treacherous for New World technology folk. Here are the top five objections to expect when you want to go serverless. You’re ready to get serverless into your organization — you’ve identified an opportunity, know how to build out the project, and now it’s time to get IT on board. The only problem is the Big Department of No has issues with this newfangled technology so how are you going to convince them to allow this heresy? Knowing the layout of Middle Management Earth is the key. Let’s take a look at some common concerns and see if we can address their major objections. Objection #1: We don’t need this. What’s Lambda good for? Resizing images. It’s awesome at resizing images, especially ones in S3. Unfortunately, most company applications cannot be replaced by image resizing alone, so we need to expand the realm of possible use cases and get people thinking. The same examples are recycled so frequently that we need to talk about how serverless is used. actually Almost is a good candidate for serverless — and these represent a number of workloads in typical companies. Cron jobs, reports and batch processing are at the top of the list. Even many supposedly synchronous tasks can work too, mainly because the latency just isn’t that terrible. any asynchronous task huge When your IT leaders give you the side-eye on serverless, remind them that it’s also . Functions are nice but if you add CDNs, object stores and databases, you now have all the toys needed to turn any flowchart into a working application. much more than functions Better yet — and they should like this — you can now build highly secure applications that scale automatically and cost a fraction to run. And you don’t have to manage any infrastructure to get these workloads to run forever. Let’s TL;DR those bullet points again: Highly secure Scales automatically Costs very little No infrastructure to manage So if they if want applications that just work with minimal management — you know, like congratulations, you just found the answer. Say it with me: Serverless is for everyone. most applications — Objection #2: This is nothing new. Bonus: Serverless is just a buzzword. According to some people who are wrong, serverless is nothing new. There’s an eye-rolling tendency with new tech to compare it to some past experience in a way that dismisses the actual benefit of the new. In this view of innovation, FaaS is sorta kinda like time-sharing on the mainframe much like taxis are the same . de minimis horse-drawn Hackney carriages This is tough one but I think we can dig ourselves out. Hopefully we can agree that horses and cars are different. Never mind the speed, convenience, air conditioning and lack of horse odor, there is a general ecosystem upgrade with taxis — the cost collapsed, taxis are everywhere on-demand, you can scale up the passenger count easily, and they gave rise to the next iteration — ride-sharing. The lack of horse manure on the streets is pretty wonderful too. So my point is, FaaS is to time-sharing on the mainframe as Uber is to horse rides. As a bonus, I was recently informed that ‘serverless is just a buzzword’ in that ‘everything you’re working on is a waste of time’ sort-of way. Both these sentiments were common in the early days of cloud too. Sure, I could tell you that serverless is so much more than an efficient use of an idle system, from practically no concurrency limits, infrastructure management, increased agility, and to a total refocus on business need instead of systems management — but I know these guys. They just want to tell you nothing is really new. Best just to agree and move onto to the next roadblock. Objection #3: “But vendor lock-in!” I’ve only ever heard this complaint from companies with multi-year Oracle contracts, Windows on every desktop and zero diversity in their infrastructure. It’s really strange to me. I can’t decide if it’s a catch-all gotcha in response to new ideas or genuine hand-wringing over committing to a single cloud provider. If we’re honest, any choice of technology involves vendor lock-in at some level, especially in enterprise IT. The question is really: are you trapped? Is there a 5 year contract (like Oracle)? Are prices going to suddenly spike after a cheap honeymoon period (like Oracle)? Can you move to another platform (unlike Oracle)? By any metric, committing to any serverless provider has significantly fewer lock-in issues than, say, choosing an on-premise RDMS provider (I can’t think of an example). Still not convinced? Well the good news is that you can mix-and-match serverless providers. Run your functions on Lambda, do your authorization in Google and store your data in Azure — go for it, it’s totally possible. Better yet, add an abstraction framework like and you can become much more provider-agnostic. Serverless From a business perspective, unlike the old days of rising IT vendor costs and multiyear commitments, all the major cloud providers have shown the opposite — costs continue to fall and this is now a pay-as-you-go world. Even if you choose to lock yourself into Amazon or Microsoft, you might be happy that you did. Objection #4: “My [team|manager|boss|cat|dog] won’t like this.” I used to think this was a flip-side to the tech Holy War problem — you know, where a group using one technology will never try anything else. But I’ve found it’s more related to fear of change in relation to people’s jobs. Beswick’s Law says that . Go ahead — Google it and I’ll wait. any mainstream discussion of artificial intelligence will eventually lead to a headline with a picture of The Terminator So it follows that since serverless means no servers, no servers means more automation, and more automation means a huge line of DevOps people in unemployment offices. DevOps people will just love the paper forms, fax machines and human interaction needed to get $100 a week. And to think it all started thanks to a harmless Lambda function resizing images. At least, that’s what some executives are hearing, and the #NoOps movement is ruffling some feathers in some entrenched teams. But it’s all bogus — in every serverless implementation I’ve seen, the DevOps engineers become the most important developers in the group. In fact, the man below, from ServerlessOps, frequently makes that exact point, even though his first presentation slide can suck the air of out most DevOps meetings. Tom McLaughlin Ops Teams — Don’t be scared of the man in the pumpkin suit. Why? Serverless management requires all the smarts that DevOps is good at — from security to deployment management — and this function is central to a fully serverless environment. It’s true that the job changes — you lose the annoying, repetitive, dull parts of managing infrastructure — but (I’d argue) it’s much more interesting. And you’ll get more sleep. This objection tends to have an aura of the Fear Of The Unknown — understandable but unfounded. As IT departments move from being a cost center to a strategic engine of most companies, we have to shake off the activities that aren’t a good use of our time. And yes, that means change for everyone — but no Terminators. Objection #5: “Serverless isn’t ready yet.” There’s a good portion of IT executive management who are terrible at predictions. Over the years, I’ve heard… Nobody will ever buy anything online Nobody will ever use their phones for banking Nobody will ever trust their data in the cloud … and these same voices that are consistently wrong and never held to account are often driving their IT departments. Go figure. The specific charge against serverless tends to take two forms. First, “nobody is using it”. Nobody apart from Coca-Cola, Zalora, Nordstrom, Next Door, Blackboard, CodePen, A Cloud Guru, Bustle, Localytics and thousands of others. Well, “nobody is using it ” — apart from Zillow, iRobot, Thomson Reuters, Netflix and (let’s not forget) Amazon itself. at scale Okay, so what they mean is serverless tools are currently immature and don’t support < >. It’s all true but it’s like complaining that flying cars are terrible because they don’t cure vertigo. There are new companies populating the ecosystem to address these gaps at all the time— take a look at Stackery, Epsagon and Binaris as shining examples. insert arbitrary requirement here Don’t get me wrong — some people have legitimate gripes against the cloud provider’s consoles, API limitations and problems with observability and debugging. Some of the brightest people I know in this space have glorious rants about all these issues and more. And you know what? They still use serverless. Second, the ‘too early’ claim is based around serverless being new, which it’s not. Lambda, the grand-daddy of the FaaS movement, is 4 years old and the development pace has been accelerating continuously. I don’t know what’s been put in the water at AWS but the Lambda feature release log has gone crazy over the last 12 months. First release on the far left: “Do timesharing like the mainframe”. Just because you haven’t heard of something doesn’t mean it’s new — serverless has been around for a while, it’s used by some major projects and companies, and the general hum of should be an indicator that’s it’s ready for you. On the plus side nobody has said, “There are servers in serverless” in quite a while so we’re making progress. success stories

Scared Serverless — How do you handle opposition from your IT group?

Just a year ago, the first thing I did when I woke up was picking up my phone and instantly reviewing my notifications. Despite what Tristan Harris said about tech , I was still doing it. hijacking my morning routine I didn’t want to check my social media in front of my employees. I wanted to show to an investor or client that emailed me overnight that I was working early in the morning. I needed to know if an important email would impact my morning meetings. As a startup founder, I always had a good reason to do it. And it seems that I’m not the only one. According to a from the tech analyst company ReportLinker, recent survey 46 % of Americans admitted to checking their smartphones before they even get out of bed in the morning. How did that happen? Push Notifications Become Part Of Our Daily Lives A few months ago, the mobile engagement platform Localytics conducted and it appears that push notifications are better designed and accepted today than they were a few years ago. Marketers are getting better at communicating through mobile and push notifications became part of our daily lives. a survey on 1000 users The average person touches his or her phone and spends 2 hours and 56 minutes on their mobile device every day, which equates to an astounding . What’s worse, we won’t be spending much of that time communicating through text or, I don’t know, taking phone calls… More than spent using mobile devices will be spent on apps. 2,617 times every day 86 hours per month actual 90% of our time Most apps are specifically designed to be attention hogs, using color schemes, wordings, and layouts that make them extremely addictive. Before you know it, you open an application to check on who liked your photo so far and you’ve suddenly been scrolling through your feed for minutes, or even an hour. It takes an average of 23 minutes and 15 seconds to get back to the task. According to , professor in the Department of Informatics at University of California, Irvine, interrupted work has a cost: it takes an average of 23 minutes and 15 seconds to get back to the task. Gloria Mark App Marketers Are Only Focused On Your Engagement Sadly, push notifications are only part of a much bigger whole: Notifications were designed to inform you, so you don’t have to check the given app over and over again. Now, most of them have no other goal than engagement: when Facebook notifies you of every like, it’s to give you that sweet dopamine kick and eventually bring you back onto its platform. dark patterns. Dark patterns refer to any design feature intended to “nudge” the user into an action he didn’t desire. It seems that using push notifications by 88%. In fact, it has been found that sending out push notifications greatly increases user retention, somewhere between depending on the app and frequency of notifications. Anyone who opts into push notifications for an application is twice as likely to keep it on their device. boosts app engagement 3x and 10x Retention or entrapment? That’s great news for the retention-driven companies behind the applications we use, but it’s not so great for people like you when you find yourself being utterly distracted by them all day long. LinkedIn is a good example of dark patterns. Just about every time you scroll through your notification feed, you’re going to see things like: “It’s John Doe’s birthday today, tell him a happy birthday!” or “We found 97 jobs you may be interested in.” If you paid attention to these notifications, you’d spend half the day wishing the people in your network a happy work anniversary and the other half trying to figure out how they got in your network, to begin with. The sole purpose of these notifications is to get you to open your application and use it for longer than you ever intended to. It’s Hard to Find An Escape I usually turn to music during my work day to escape from the chatter and help me dial in my focus on what really matters. The issue is, notifications are now permeating into every area of our lives, private and professional. According to an infographic published on , . Entrepreneur 40% of workers say they accept having to answer an urgent email during the middle of dinner This leaves people with their notifications always on and frantically checking whenever their phone dings, whether it’s urgent for work or something that didn’t deserve their attention at all. Because of this, you’ll never be able to properly step away from your job until you turn the unimportant notifications off. Once you’re done with your emails or social apps, notifications are also coming from your collaborative apps installed on our computer or opened on your web browser. Popular collaborative apps like Slack are requiring you to be constantly connected. And if you’re like me, convinced that you might have missed something important, real-time conversations become a trap. But living moment to moment with the fear of missing something isn’t how we’re built to live. — Tristan Harris . Push notifications pose a huge threat to our focus and well-being, and initiatives to overcome it are rare in the workplace. Not only are your notifications wasting your precious time, but they are also eating away at the little bit of “me” time you would be getting otherwise. The simple fact is that you don’t need to be seeing all of your notifications, so why don’t we just filter them? Filtering Your Notifications Is Painful But Necessary The unfortunate thing about notifications is that they don’t come through like emails. If you turn on Facebook notifications, you get notifications from Facebook for just about everything. It is quite impossible for someone to distinguish between a buzz of an important notification that needed their immediate attention and the buzz of a notification that didn’t even really need to be pushed through. The only way to tell is to interrupt your focus, even briefly, and look for yourself to determine whether or not the notification required immediate action on your part. Whether the notifications are coming from Twitter, Slack, Facebook, or a handful of other applications that most people have installed on their phones, they are far from the first thing we should be seeing in the morning and they definitely aren’t worthy of stealing our attention away from important work throughout the day. This is unlike your mailbox where you can easily regain control with . filtering and cleaning features It’s a lot more complicated to manage push notifications. First of all, there are 3 different platforms to set up: your desktop, your browser, and your mobile. Second of all, filtering takes some effort to set up, as if we were encouraged to avoid doing it. Third of all, it’s pretty difficult to come up with something relevant and useful (“I would like to see in priority all notifications related to my family or my boss”). But the thing is, even if it takes time, you have to filter your notifications and remove the useless ones. This is the only way to restore your work/life balance. Restore Your Work/Life Balance How often are you interrupted throughout the day by a notification? An even better question: How often are you interrupted throughout the day by a notification that actually deserves your attention? Filtering out all the notifications that don’t deserve your immediate attention, arguably the majority of them, lets you focus on the task at hand. If your phone does ring, you’ll know it’s important. Plus, while you’re at work, . unimportant notifications will no longer pull you away from the projects that deserve your attention the most When you are in a deep state of concentration doing X, Y, or Z or when you are already in the midst of an important meeting with a client, you don’t need your phone buzzing just because co-workers are chatting on Slack or because your boss just penciled you in for a conference next week. Those are things you can get back to later as you devote your entire focus to what’s in front of you at the moment. That will greatly improve your mental clarity and performance while preventing overwhelm. Take Control With The Android Do Not Disturb Feature Start with filtering your mobile notifications. I’ll explain later how to deal with desktop and browser notifications in another article. Many articles will advise you to disable your mobile notifications for each application, one by one. But it’s way too long to set up when you have, like me, more than 15 apps. In addition, every time I install a new application I have to redo it and frankly, I forget every time to do it. I worked the problem backward and removed all the notifications and set up exceptions. Android allows you to do it with the . “Do Not Disturb” mode Enabling the “Do Not Disturb” mode on Android If you want to quickly enable Do Not Disturb mode, just swipe down from the top of your screen to open the notification shade, and select the Do Not Disturb icon. All your notifications will be blocked (including phone calls and messages). The “Do Not Disturb” mode allows you to set up exceptions and to hide all visual notifications when the screen is on and off. Then you need to set up exceptions: a long tap on the Do Not Disturb will allow you to make changes to your settings. Now tap on and it will allow you to white-list certain contacts or callers. As a startup founder, I decided to white-list all calls, all messages from my contacts and my calendar notification, but you can restrict or allow a lot more depending on your job. Allow exceptions > Custom One last thing: do not forget to hide visual notifications when the screen is on and off. This will significantly reduce your daily checks. Uninstall And Hide Your Apps To definitely take control of my mobile push notifications, I then decided to uninstall all my social apps and apps I have not used in the last 6 months. I removed almost 10 applications. The blank home screen is great to avoid getting distracted by the apps on your phone Finally, the last thing I did was adding a blank page and set it as the main page to hide all applications except my messages and calls. To do that, tap and hold on a blank area on the home screen. Then, swipe over to the right as far as you can swipe and then add a new home screen. You just have now to define this new home screen as the main one by taping the Home icon located at the top of home screen settings. In doing so, I reduced my interruptions by 70%. I feel more focused and efficient every day. Everyone will probably tell you that notifications are bad for your productivity and that’s why you should ignore them all. In practice, I cannot afford to miss a call from an investor or an email from a prospect. As a young entrepreneur, I have to deal with this flow because I cannot miss any opportunity. In return, I must find all means to better filter them. I am not a serial entrepreneur who can ignore all notifications. I need to be responsive to solicitations. The funny thing is that it’s a LinkedIn notification that allowed me to sign our first large client at Gwapit: was it a needle in a haystack? Originally published at gwapit.com on October 19, 2018.

Push Notifications Are Not That Bad, You Just Need To Take Control Again

Researching mobile analytics for apps is typically a time-consuming and daunting task. Yet, it doesn’t need to be. Although there is an affluence of solid platforms to choose from, there are just a noteworthy few that give you a significant bang for your buck. Several platforms have already established themselves as the favorites of 2019. In the past ten years, the quality of apps has changed drastically, and correspondingly UX standards have also greatly developed, thus tremendously impacting the need for, and competence of, mobile analytics tools. Thanks to thorough research and comprehensive new reports like , we’ve handpicked the top tools within the industry. With ‘ by mobile professionals, we pulled recommendations from three nameable subcategories: quantitative analytics for apps, qualitative analytics for apps, and performance crash analytics. Remain ahead of the curve and secure your spot as a mobile front-runner, with this neatly packaged guide that saves you time on any further investigation. Gartner’s Market Guide for Web and Mobile App Analytics analytics’ as the prioritized SDK Quantitative App Analytics — The Top Platforms Through numeric data, analyzes metrics that give you hard aggregate insights on , user actions, and usage trends. Putting everything into numbers, quantitative analytics provides you with answers to questions regarding how many total users you have or length of an average user session. Here are five market leaders in the quantitative mobile app analytics field. quantitative analytics conversion rates Mixpanel Mixpanel is a great choice for mobile professionals when it comes to crunching a range of data points and understanding the overall on desktop, mobile web, and mobile apps. It is codeless, which means that no code is required to track app metrics. Mixpanel is a market leader in regards to extensive event tracking and is utilized by top brands such as Ticketmaster, Intel, and Viber. user journey Features: Engagement Analytics Conversion Funnels Retention Analytics A/B Testing Automatic Insights Firebase Firebase is Google’s suite of tools for mobile developers. It works with other Firebase features so that you can measure everything in one central location, from your ad spend ROI to app crashes. There is one incredibly thorough dashboard where you can view all user behavior and cross-network campaign performance. Firebase supplies you with a variety of tools to develop your app on the platform. Additionally, you can export all of your raw data to for custom querying. BigQuery Features: Crash Reporting Deep linking performance In-app purchase data Attribution In-depth audience segmentation Amplitude Amplitude concentrates on analytics that help startups pinpoint and address trends users’ in-app behavior. By utilizing audience segmentation, Amplitude clients can analyze their users based on various parameters (location, install source, etc.) and examine these groups through funnels, , and retention. Also included is access to behavioral and retention insights, which are key indicators to identifying specific types of user behavior that correlate to strong retention. IAPs cohorting Features: Behavioral Cohorting Single-user analysis Funnels & Conversions Retention User paths Localytics From traditional analytics for apps to smart targeting and marketing automation, Localytics offers a variety of features. It’s easy to understand your users and their interactions with this platform, and you can take these metrics to great heights–for example, EyeEm was able to target users with high-risk churn rate and adopted personalized re-engagement campaigns, or and the NHL app managed to increase app revenue through in-app messaging campaigns. Features: Sessions and Events Retention Attribution Uninstall Tracking LTV Keen Keen is a cloud-based analytics platform that allows developers to stream, compute, and access all events through a single API. Keen offers companies the possibility to track complicated attribution, generate alerts, institute real-time analytics dashboards, among a variety of other solutions. With Keen, developers can remain flexible with customized infrastructure while giving users the best user experience possible. Features: Event tracking Real-time analytics Attribution Full resolution queries Smart charts Qualitative App Analytics — The Top Platforms There’s quantity, and then there’s quality. Of course both have their unique attributes, but in the case of mobile analytics, the quantitative edge can only be taken so far in measuring numbers. The qualitative realm tracks what quantitative can’t, the app’s user experience. Although relatively new to the sport, qualitative app analytics is a powerful team player on the analytics field. Some might even say its the MVP of the whole team, as it enables mobile app professionals to probe their apps on the single-user and aggregate user level, gaining actionable insights into users’ behavior and app performance. Appsee Appsee is the premier qualitative app analytics platform, and has helped set the stage for the qualitative movement. Continuing to reign as the market leader in the industry, Appsee has a vast assortment of valuable features, two of the most noteworthy being and . User session recordings automatically tag all user events and give an exhaustive visualization of each user’s in-app experience. Touch Heatmaps, on the other hand, provide information on an aggregate level showing exactly where and how users are interacting with each screen and if they face any UI struggles. User Recordings Touch Heatmaps In addition to these dominant qualitative features, Appsee offers conversion funnels, crash recordings and symbolication, action cohorts, among many others to choose from, depending on your analytics needs. Additionally, platforms are available so you can pair all your data together. integration Features: User Recordings Touch Heatmaps Crash and ANR Recordings and Reporting Conversion Funnels with Drop-off Videos Retention and Engagement Analytics Performance/Crash App Analytics — The Top Platforms Crashes happen. It’s the unavoidable truth of a mobile app’s life cycle, and even the best of the best of the app world encounter the occasional upheaval. But no matter what, it’s how you deal with these crashes–be it monitoring, analyzing, reproducing, or troubleshooting–that dictate the . Here are two top mobile app analytics platforms for tracking and resolving in-app crashes. future success or failure of your app Crashlytics One of the most established crash solutions in the industry, Crashlytics is completely free and supports both iOS and Android. It prides itself on having highly detailed crash reports which take into consideration many factors, such as device, battery status, charge in progress, proximity sensor, wifi connection, and physical phone orientation. On an aggregate level, Crashlytics examines your crashes, and accordingly generates reports that display crucial issues and trends. An added bonus is that Crashlytics sends a friendly alert to its clients if any crash goes unresolved after a certain period of time. Key Features: Comprehensive crash reports Real-time processing and alerts Smart charts on crash trends and insights AppLink.io AppLink.io provides precise information regarding crashes in your app, from the manufacturer to the connection type to the app version. With these distinctions, you’re able to delve further into keymetrics such as, the number of impacted users and the rate that crashes are occurring. Applink.io is compatible with iOS and Android apps, and the dashboard is also easy to use, helping you make sense of your app’s performance. Features Crash reporting Conversion tracking Event reporting Brief Synopsis Choosing the right mobile app analytics platform is a nuanced process, but once you have the right ones in place, the difference will be enormous. Quantitative data, qualitative analytics, and improve app performance and user happiness, which drive better mobile app results. Identifying critical UX/UI problems is key, and only by complementing traditional analytics tools with a session replay tool you will obtain deep insights into the user journey. Furthermore, these tools possess many features that can be utilized across departments further aiding in cross-team collaboration and communication. crash reporting Utilizing top platforms from these three analytics categories will provide you with the most holistic view of what’s happening in your app and allow you to visualize results on a comprehensive level, taking your app to a place of supreme optimization. Setting these tools into your strategic plan will improve user experience on an unparalleled level.

The Best Mobile App Analytics Platforms in 2019–2020

App growth & is the most critical piece for app businesses. Most product owners spend good amount of time in User experience, User interface, features & perfecting a shadow & corner radius. Very little thought & efforts are put in for sustainable & organic growth for mobile applications. Product owners & marketers are often do not have knowledge or right tools & methodologies on growth. marketing One of the reason can be marketing companies as well. Most of the marketers & agencies has confined Mobile App marketing with web SEO, content, blogs & ASO (App Store Optimisation). At MobileFirst, we are exploring new, creative & easy to implement ways for app growth & marketing. This is Arpan from , we are mobile app development & growth agency. MobileFirst Ideal Mobile App Growth Lifecycle — Ref. LeanPlum App marketing is beyond only running ads. There are still an organic ways to grow your applications Referring an image from App Growth platform called LeanPlum. In general Product Owners & App Developers should plan following 4 steps. Use Acquisition (Organic & Paid) User Retention & Reducing Churn Marketing Automation App Store Optimisation “95% Of Opt-in Users, who don’t receive a push notification in the first 90 days will churn” — This makes user retention a most crucial aspect for building user base. With this article, we are covering strategies to improve App Growth. e.g, With branch you can create App Content previews. On a lighter note, Winston Churchill famously quoted this for effective speech. This is very applicable for App Content previews. DeepViews “App Content previews work like a woman’s skirt; long enough to cover the subject and short enough to create interest.” 13 Easy ways for achieving App Growth: Make your mobile app Content Aware : You can get organic growth with your app’s content. We recommend that you use SearchAPI, NSUserActivity, Spotlight Search, Indexing content for Android. This will create a long term effect in SEO & link generation of your content. Making mobile applications Social Aware: We recommend that you use right Social tools when you share via an application. OpenGraph & can be an excellent tool for creating immersive posts on Social Media. This will helps you create content rich social media posts when users share from your mobile applications. We integrated OpenGraph for Texas based Sports Platform — this is bringing 5% more users organically. A big reward for right app . Schemas.org engineering Open Graph tags make your applications Social Aware — By adding open graph tags, you are improving CTR by 40%. Making mobile applications Location Aware: Utilise an SDK to understand your User’s location to provide tailor made experience to you users. At times you don’t need them to provide their accurate location. Improve Discovery by Universal Links & Deep Linking: App to Site Association on your server to provide link back to your app. Improve Conversion by adding Smart Banners for App Downloads on your Website for conversion. This is simplest form of converting website visitors to app downloads. Apple & Google provides the tools or you can use Branch.io for this. Deep Linking SDKs by Firebase & Branch are quite popular you can utilise this to convert more users to App downloads. We will cover in-depth analysis of Deep Linking & how it can impact your customer engagement. D by Branch, they work as mini website for converting your visitors to App Downloads. This is one of the most effective way for app downloads. With DeepViews you can create a content preview websites. eepViews DeepViews by Branch — Cost Effective ways to promote & grow your user base. Understand User Journeys with the help of Mixpanel, Localytics, Firebase, CleverTap or Branch. There are lot of frameworks, based on your requirement you should pick the one. We will cover comparative analysis in next posts. Facebook & Goole re-marketing campaigns to activate users. Activating acquired users improve the conversion by 15 to 20% more. Only few of the SDKs provide this feature. This is very effective, as users already know your app & value. As an app owner you are reactivating the idle users with some incentives. This is more targeted incentives to acquired users. Automation to fix Funnel leakages with Email or Push Notifications, really effective for eCommerce related applications. What is funnel leakage? Imagine a customer has visited a specific product on an eCommerce app, added the product on Shopping cart — but have not completed transaction. A simple reminder via Email or Push Notification help you fix the funnel leakages. App Referral Program or Loyalty Programs. You can create with Deep Linking as well. With right strategy you can grow your user base organically. E.g Uber — Everyone remembers their first free ride & how they utilised loyalty programs to bring new users. The rightly executed Referral programs motivates your existing users to transact more on your platform. We built Loyalty program for a Client based in Singapore, this resulted in 20% more users organically. App Referral & Loyalty Programs are most efficient & scalable method to build your audience ASO (App Store Optimisation) by tracking & monitoring your keywords. You can utilise SplitMetrics, SearchAds, SensorTower for keyword tracking. Running App Store Ads & Google Universal Ads to understand the regions. At times some regions appreciate your application more than you have anticipated. You can utilise Google Ads & Apple Ads to understand conversion based on geography. e.g — One of our early apps got popular in Taiwan & Indonesia. We did not consider those markets to grow significantly. Eventually we changed our strategy to cater those customers with new features & translation for the region. We have a detailed deck & few case studies created for our clients, happy to share the same on personal emails. Regards, Arpan Desai (arpan@mobilefirst.in, Mobile Strategy & Growth Consultant at ). , If you are looking for help for your app business. MobileFirst Know more #mobile #marketing #growth #branch #clevertap #development #engagement #retention #leanplum

13 Ways to Engineer Growth as a Service

John Donne once said, “no man is an island.” If he lived in the 21st century, he might have said the same thing about software. Programs which, on the face of it, appear to be completely distinct entities, actually consist of dozens of other components made by other developers and companies. There are millions of third-party libraries and software development kits (SDKs) on the Internet. Developers download them and integrate them into their software, thereby saving them time when building features and functionality. There’s no need to reinvent the wheel for each thing they want to do. But are they also a security Achilles heel? Bay Area security expert examined several of the most popular SDKs, and found . Or, to put in plainer terms, they were being served in an insecure fashion, allowing a malicious third-party to intercept and modify the contents. Felix Krause many lacked transport-level security Your app is grass Before we go any further, I want to say that Krause’s research is platform-agnostic. It affects software of all stripes. . Linux. MacOS. . . Amiga too, probably. Windows Android iOS That said, in this section, I’m going to talk about iOS apps because it’s familiar to most people, and because it’s a particularly interesting case study. It also happens to be Krause’s major area of interest, and the platform upon which he’s based much of his research. Let’s suppose you want to infect a million users with malware. I don’t know why, but you do. It’s a tricky proposition. For starters, Apple’s locked down iOS tighter than Fort Knox. Grabbing an iOS zero day is a non-starter, too; those start in the six-to-seven figure range. iPhone So, as a last resort, you sneak a developer a compromised SDK, who then inserts the dodgy code into their app (we’ll talk about how this works later). You then get the keys to the kingdom, more or less. Although Apple’s killjoy sandboxing stops the real fun, the malicious code can still access: Any files and folders the app has access to Any permissions the app has access to (hello, microphone and location services!) The container belonging to the app iCloud All Keychain data the app has access to All information exchanged between the application and a remote server. Yikes. In short, you could turn an ostensibly-legitimate application into an Orwellian spying machine that records every tap — every keypress — made within it. It could even record where the user has been. And it could harvest credentials, which could be sold to other bad actors. And it’s all done at an unimaginable scale. An individual SDK might harvest hundreds of apps, which in turn ensnare thousands of users apiece. How this works Man-in-the-middle attacks are nothing new. This research isn’t about them, but rather about how important pieces of software are transported, and how that affects the broader software security ecosystem. It’s important to touch on how this attack works, however. This attack requires a third-party to position themselves either between a developer’s computer and the rest of the network, or between the network and the server providing SDK downloads. This allows them to observe and modify traffic as it goes from the computer, to the outside world. The finer technical details can be , if you’re curious. read on Krause’s blog The victim could be anywhere: at a hotel, a cafe, or an airport. It doesn’t matter. Once the attacker is positioned, they can start serving bogus SDKs. Krause pointed out that it’s trivial to replace text in an HTML document. So, they could change the link location on a download page to one that points elsewhere. An example given by Krause explores changing the location of Localytics’ SDK to one that’s visually similar, and unlikely to arouse suspicion. See if you can spot the difference: https://s3.amazonaws.com/localytics-sdk/sdk.zip https://s3.amazonaws.com/localytics-sdk-binaries/sdk.zip The former is the legitimate SDK, while the one containing “localytics-sdk-binaries” serves the malicious code. Krause has also created a proof-of-concept that allows him to switch the contents of ZIP files and binaries in real-time. This works by downgrading traffic from an encrypted format, to one that has no such protections, through a tool called sslstrip. Step-by-step, here’s how this works: A developer downloads an SDK T then modify it, inserting their own malicious code The attacker compresses the code. The attacker watches over the network traffic and waits for the developer to download an SDK. They then replace any ZIP file matching a certain pattern with their own payload. Vendors are serving insecure SDKs The avenue of attack highlighted by Krause’s research is a threat because of one thing: vendors are serving SDKs in a wholly-insecure fashion. Krause looked at 41 of the most popular SDKs. Thirteen of these were potentially vulnerable to a man-in-the-middle attack, while five offered no way to securely download the SDK at all. Many of these belong to big-name tech companies. Take Amazon (which, to its credit, fixed the problem within three working days), for example. The Seattle-based tech titan served its AWS (Amazon Web Services) SDK downloads over ultra-insecure HTTP. Another major SDK provider, Localytics (which has also resolved the problem), had an unencrypted documentation sub-site, which linked to its SDK. An attacker could have intercepted this and replaced the link to a malicious substitute, as mentioned earlier. In line with ethical disclosure procedures, Krause gave the affected SDK developers a meaningful opportunity to resolve the issue before disclosure. This meant he contacted the relevant stakeholders within each organization, and gave them three months to resolve the issue to his satisfaction. The issue is remarkably trivial to fix. Unlike many vulnerabilities, which require weeks worth of legwork, vendors only need to ensure their SDKs are downloaded through encrypted channels. Depressingly, however, vendors have failed to take any meaningful action. Five days before the publication of this article, Krause wrote to me and told me that nearly two-thirds of the affected SDK providers had failed to protect their SDK downloads. He said: I just went through the list and checked if the SDK providers fixed their sites: I notified all affected in November and December 2017, giving them enough time to resolve the issue before publicly blogging about it. Out of the 13 affected SDKs, 1 resolved the issue within three business days, 4 resolved the issue within a month, and 8 SDKs are still vulnerable to this attack at the time of publishing this post. The SDK providers that are still affected haven’t responded to my emails, or just replied with “We’re gonna look into this” — all of them in the top 50 most most-used SDKs. Which is shocking…. The software food chain When you think about it, software isn’t too dissimilar from a piece of steak you might buy in a supermarket. You purchase it with the assumption that it’s safe to eat. For that to work, it needs to have been handled appropriately during each stage of the manufacturing process. From farm to fork, everyone needs to do their job properly. Software is a bit like that. The end-user purchases a piece of software from their supermarket (in this scenario, the App Store) with the assumption that it won’t harm them. But for that assumption to be true, everyone needs to adhere to security best-practices: not just developers. This story was written by Matthew Hughes, and was originally published on The Next Web.

LOVELYTICS

lovelytics.com

-- employees

Since n.d.

COMPANY RANKING

LOVELYTICS

EVERGREEN INDEX #6650

Representing this company? Click here to claim and customize this page!

Lovelytics WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

LOVELYTICS

lovelytics.com

-- employees

Since n.d.

COMPANY RANKING

LOVELYTICS

EVERGREEN INDEX #6650

RELATED COMPANIESRANK

STORIES ABOUT LOVELYTICS

Representing this company? Click here to claim and customize this page!

Lovelytics WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!