Mobile applications are more than a trend – Marketing they offer a completely new form of engagement! But once the user discovers your app and installs it on his phone or tablet, that’s just half the battle won. Do remember, the first few minutes after the user gets the app on his device can clearly determine whether they are going to be active users or if they are going to immediately uninstall it and move to other options on the App Store.
The biggest pitfalls when it comes to mobile app marketing is – flaunting your app just like a desktop app, releasing it without any plan, and releasing an app which is almost like a mobile website! Fail.
Before we move on to the most common mistakes app developers make while marketing their app, let’s take a quick look at the tried and tested ways to market your app which would always guarantee successful results:
1) Social Media
Brilliant way to market your app to your potential customers. Facebook and Twitter are two great social networking sites that offer app-install ads. You can also try Foursquare as it offers the ability to create tips and these tips can be great boosters at promoting your app.
Try incorporating a tell-a-friend feature within your app.
2) Pre-Launch Promotion
Spread the buzz about your app prior to its launch. Contact bloggers and journalists who would write about things related to your app thus driving app engagements and mobile app installs. Before the launch conduct a thorough market research, do competitive analysis and also check out paid media efforts to identify cost-effective solutions; getting hold of a good PR team can also work wonders for your app launch.
3) Plan Multiple Releases
While releasing your app, don’t pack in all the features at once as the excitement will fade away after the app has been used multiple number of times. Design your app in such a way that with every update it will always have something new and exciting to offer the user. As your app progresses over time, the newer versions of it would boost sales even more.
4) Think About ASO
App Store Optimization, which is an SEO-related activity, is the process of improving the visibility of the app. The App Store industry is dominated by various platforms and it is important that you stay updated with important data related to improving your position within the Store.
Companies handling ASO related activity will make sure that all the information surrounding your app is well-structured and relevant.
These strategies mentioned above are all great approaches to gaining user retention, driving daily usage and getting users addicted to your app no doubt, but also remember – kindly do not deploy all of them at once! Also ensure that your users attain a delightful mobile app onboarding experience. Maintaining a systematic back-up of plans keeping an open mind to experimenting always helps as some plans may work and some might miserable fail.
Earlier, marketing just meant advertising your brand on print, TV and radio jingles; and the content looked and stayed the same through all these mediums. But the advent of smartphones and the digital era have changed things completely – consumers can get in touch with your brand through more channels. In other words, you can no longer afford to zero in only on one element of your marketing and leave out the rest.
Below are 5 most common mistakes mobile app marketers make regularly and a few helpful suggestions on how to tackle them. Read on.
Mistake 1: No Content Strategy (Or A Terribly Boring One)
Content marketing is not the only way to receive organic traffic. Strategic content marketing will always deliver the right organic traffic you want and need. As David Meerman Scott says, “On the web, you are whatever you publish”, and your content is the face of your brand. So, if you do not have a systematic digital content strategy, you are in trouble!
We understand that the biggest hurdle faced by your industry is not having a content plan or just the lack of inspiration (who is going to read my content, my industry is so boring) or the most common one – lack of resources to publish.
Worry not, you don’t always need a great group of writers to develop the next best content strategy – what you really should work on is a focused commitment to provide your future prospects and app users content which they wouldn’t look for elsewhere. It’s all about connectivity.
Mistake 2: Need For Speed
Speed kills but when it comes to app marketing, the faster the better. If your app takes a little longer than 3 seconds to load, 50% of your users are going to switch to the next best option. And the problems don’t stop there – slow apps would always attain a lower search ranking, which means your prospective users might never even find you even if you have a great strategy planned ahead.
Mistake 3: Blowing Your Own Trumpet, Much?
Nobody likes a showoff. Don’t you just hate it when at a social event, a fellow guest brags too much about their achievements, hobbies and life without communicating with the other members of the group. Sounds familiar? Yes, this applies to mobile app marketing too!
Most of the app marketers think that users want to hear all about their brand non-stop: NO! The best brands out there share 70-80% of their content with their audiences that provides a solution or motivates that user – the remaining 20-30% is about the positives of their brand and why you should switch to it.
Mistake 4: Mobile App vs Mobile Website
Both mobile applications and mobile websites allows users to find and get access to your brand from devices they use the most, but having a mobile website and a mobile application are not the same thing. Your app is not a desktop app, don’t pretend it is. Your users are going to use your app on their smartphones and tablets, so you should market it on that itself. So how do you do it?
Mistake 5: Let’s Talk About Privacy
Mobile app users, especially in the US, are extremely concerned when it comes to privacy. When you are working on your app marketing strategy, ensure that your mobile marketing technology strictly follows all the industry regulations and best practices for collecting, using and securing personal data of the users.
Quite often we observe that two seemingly similar terms are used interchangeably. This form of human error has not even spared the medical field. Neither are those professionals who use medical technology, day in and out, spared from committing this error.
Considering that CIOs feel EHR solutions to be a significant value differentiator, it is vital to understand the difference between the two terms so that each can be utilized in the best possible way within the healthcare ecosystem.
Though EHR and EMR may sound alike, there happens to be a distinct difference between them. Knowing the difference between EHR and EMR becomes important to those of you who are looking forward to the incorporation of medical technology into practice or are seeking out software that replaces the current system in use.
However, while we go on to spot the differences by pitting EHR vs. EMR, we need to look at each term individually.
What is EHR?
Acronym for Electronic Health Records, EHR traces a patient’s health history, following them from one healthcare provider to another throughout the course of their lives. It is a patient’s medical records in the digital format. EHR makes it easy to show the patient’s entire medical history: the symptoms, prescribed medications, treatment in use, progress over time, course correction measures and more.
An EHR bridges the gap between a patient and a doctor. The faster the information is pulled up regarding the patient’s medical history, the better the prognosis can be. EHRs aid critical medical decision-making and ensure better patient outcomes.
Now, What is EMR?
Leading to one of the most common factors that lead to the confusion between EMR and EHRs is the fact that an EMR is also an overview of the patient’s medical history. However, an EMR is restricted to a single practice alone. They also give out information about the patient’s symptoms, prescribed medication, etc.
Though they are accessible by other medical facilities, as and when the need arises, EMRs are rather destined to reside in the hospital/clinic the patient visits.
The Origins of EHR
The history of EHRs can be traced all the way back to 2004 when the in-office US President Bush mentioned about it in one of his State of the Union addresses. This announcement laid the foundation for the process of making electronic health records a practicality. This revolutionized the way medical care was imparted, making it effective and quick.
Electronic Health Records have now become an integral part of modern day healthcare practices by decreasing the distance between a patient and a physician and resorting to the ethos of uplifting the quality of medical services available to the masses.
Origins of EMR
The idea behind EMR is similar to that of problem-oriented medical charts in the 1960s. Problem-oriented medical charts concerned itself with the symptoms the patient showed and the treatment that would be prescribed. This enabled doctors to compare charts and reach to the root cause of the disease faster than before.
With the rise of the modern computing era, what was once just physical medical records, now turned into Electronic Medical Records. What was once on paper alone, was now transferred to electronic files, which made storing and accessing medical data much more seamless and less time-consuming. Keeping all health records in one central digital repository place also enables efficient tracking of community health problems.
Considering how fine the line is between EHR and EMR, one is bound to ask whether something could be EMR and EHR both. Well, it’s possible.
It is a legitimate possibility that older companies maintain brandings as EMRs to meet the sole purpose of avoiding confusion. EHR being a relatively newer concept still remains to be slightly esoteric and hence, long-term customers could be privy to them.
A concept that is even newer than EHRs and EMRs is something that is known as Personal Health Records or PHRs. A PHR, quite like its predecessors, is a tool that is used to gather, track, and access past and current medical information of a patient. This is beneficial in the sense that it ends up saving your money in going through medical tests all over again to probably diagnose the same disease you may have had before. Out here, however; it is the patient who takes up the task of updating his/her medical records regularly, and not the physician, as it was done earlier. A PHR thus contains vital medical information about procedures the patient has undergone in the past, family history and various other bits of information that are medically relevant.
The reliance on technology to make diagnostics simpler is indeed a boon to modern day medical practices. Overcoming challenges like these with the incorporation of technology has definitely helped simplify stuff and deliver better patient care.
In the medical field, the terms EHR and EMR are used interchangeable owing to the basic fact that they both concern themselves with the storing of medical information. The only difference between EHR and EMR is EMRs restriction to a single practice only. EHR vs. EMR, if at all an argument, is redundant because, in the end, it is all about storing medical information that is imperative to the health and well-being of every person.
But in case it does come down to spelling out the difference between EHR and EMR, then one must know that EHR is more about the transfer of patient’s information between stakeholders in the healthcare fraternity, whereas EMRs are nothing but digital representations of a patient’s medical charts.
We are inundated with information from a diverse set of blockchain applications—crypto currencies, funds transfers, asset registries, and the Internet of Things (IoT) payment. We are so busy that we don’t even have time to keep our information safe. I am sure there is a way to solve the issues starting from security to scalability and ease of use.
We are quite sure that this type of conversation often plays out in the corporate corridors these days. While business leaders know how to run their business in general, they are also looking for help in generating, storing, and managing the user’s cryptographic keys of the Blockchain applications so that they can concentrate on their business. If keys can be stored and accessed securely then handling cryptographic keys of the Blockchain applications can stop becoming a burden and turn into a pillar of strength.
How does one break this deadlock and secure data of Blockchain applications? Smart card and blockchain technology is a perfect match for proper management of cryptographic data of applications. They are like cheese and wine, delivering the life’s greatest information security pleasures.
The blockchain is a revolutionary technology that helps businesses create faster and secure applications that fulfill stringent security requirements. Its crucial innovation”Times New Roman”,”serif””>—decentralized ledger—is secured with the help of cryptographic keys that ensures security, immutability, and no vulnerability in the network. Inspite of these cryptographic keys, applications face common security issues. Therefore, it is essential to manage cryptographic keys effectively, as the loss of any of these keys leads to the permanent loss of the respective Blockchain asset. This is where smart card technology comes into the picture. Smart cards can be used to effectively manage cryptographic keys, thereby enabling efficient and secure transactions in the Blockchain applications. Private keys are stored on smart cards separate from the public keys.
Smart cards are essentially chips that stores data read by machines. They are embedded with microprocessors to allow smooth transactions. These cards are an essential component of most of the credit/debit cards, SIM cards, and hotel key cards, which are considered the most common, used forms of smart cards today.
The mode of installation, the architecture, and configuration of the smart card processor play a vital role in determining the cryptographic operation times. The time required for carrying out complex cryptographic operations has been minimized. For instance, signing a 1024-bit RSA modulus  would require a fraction of a second, while hash function evaluations are accomplished even sooner.
Applications of Smart Card Technology
Smart cards have been in use ever since they were introduced. They have revolutionized the way a business operates.
- A smart card is a hardware capable of performing operations such as key pair generation with minimum power consumption in the least possible time duration. The secure key pairs are capable of handling attacks of a critical and advanced nature of blockchain applications.
- Smart card technology protects private keys inside hardware with tamper-resistant hardware security and interaction restricted to a limited set of commands and responses, which indirectly increases the overall security of blockchain applications.
- It provides straightforward access to cryptographic keys. The smart card can be a simple card, USB device, mobile device, microSD, an embedded secure element chip, or a wearable device. These devices enable easy, portable, user-controlled access to the keys for performing Blockchain transactions.
- They provide Blockchain applications a secure platform and an established, standardized security evaluation and certification program for protecting keys.
Blockchain applications are the new oil, but it is crude, and when used with the help of one of the smart technology smart card will bring new gold nuggets. Smart cards securely store private keys which are part of the cryptocurrency transactions. Blockchain applications with the help of smart cards help businesses earn more revenue and retain more customers.
We already know that Google Ads are a popular form of PPC advertising. Being able to pay for a spot on search engine results pages is very useful, especially for small businesses that don’t have the time to achieve an organic search engine listing.
If you’re trying to perfect your PPC game with Google Ads you need to a proper understanding of Google Ads Quality Score. This is because the quality score has a big influence on the cost and effectiveness of your paid search campaigns.
What Exactly Is A Quality Score?
Quality score refers to the way Google measures the quality and relevance of your keywords and PPC adverts. Once Google has gathered enough data, the keywords in your advertising account are given a score between 1 and 10 (with 10 being the best score).
This score is used to determine your cost per click. After being multiplied by your maximum bid, it is also used to determine your ad rank in the ad auction process.
Your Quality Score depends on a few core factors which include:
- Click-through rate (CTR)
- Relevance of each keyword to its ad group
- Landing page relevance and quality
- Ad text relevance
- Google Ads account performance history
While each of these components plays an important role in determining your quality score, the click-through-rate is the most significant. The reason is simple – when an ad gets a lot of clicks it means that users find it helpful and relevant. Google takes note of this and rewards your ad with higher rankings and lower costs.
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How To Improve Your Quality Score
Since your Google Ads quality score determines where and how often your ads appear online, increasing your score is essential. Your quality score can be increased by streamlining a few key areas in your PPC efforts.
- Keyword Research – Work on finding new, relevant keywords to add to your campaign. This should include long-tail keywords too because they are more specific and are known to increase overall traffic.
- Keyword Selection – The keywords you use should always be directly related to the specific elements of your advertising campaign. It’s also useful to use keywords/phrases that are made up of a few words instead of just one. This is because internet users are more likely to search for a phrase and not a single word on its own.
- Keyword Organization – Organize your keywords into groups that can be effectively tied to individual campaigns.
- Refine Ad Text – Ensure that your advert copy is targeted to your specific ad groups. Ads with a more defined target audience get higher CTRs. This is one of the best ways to improve your quality score.
- Optimize Landing Pages – Ensure that your landing pages contain your targeted keywords in its content. It’s a good idea to create a custom landing page that incorporates your targeted keywords for different ads.
- Use Negative Keywords – Irrelevant Search terms are a drain on your budget. Research and identify these terms and phrases and exclude them from your campaign.
- Advert Structure – Your ad campaigns should always be relevant to what you’re selling. When an ad campaign is more relevant and targeted the campaign, it increases the relevance of your keywords. It’s also a good idea to include keywords in the ad’s headline and display text.
- Landing Page Load Time – It’s important for your adverts landing pages to load as fast as possible. Do a load speed test and see if you need to optimize the speed. Factors that tend to slow download speed are slow redirects, too many redirects, slow servers, and large page sizes.
Google’s quality score is primarily used as a measure of relevance. By restructuring your PPC ad campaigns into well-organized groups of keywords you can improve your quality score in no time. Spending a little extra time on keyword research, selection and organization will also improve the quality and specificity of your adverts. This will also increase your website traffic and allow you to target a more specific audience who are probably already searching for what you have to offer.
Artificial Intelligence (AI) in healthcare is a reality. However, the industry is facing a lot of challenges and the dismal state of the industry globally has been more apparent of late. The World Health Organization (WHO) estimates a shortage of 4.3 million doctors, nurses, and other health professionals worldwide, which doesn’t augur well for the welfare of patients. Reports as recent as April 2019 show that the US is expected to face a shortage of 46,900 to 121,900 physicians by 2032. The UK, on the other hand, is forecasted to experience a deficit of 190,000 clinical posts by 2027, which is roughly twice the size of the British Army. India isn’t immune to the existential crisis either. As per estimates, the country is running short of 600,000 doctors and 2 million nurses.
All these figures forewarn of a world that may be mourning on the quality of care in the future. While one might think that the existing doctors and nurses can fill some gaps, their overworked condition at all levels is clear. A 2018 study has revealed that burned out physicians are more likely to suffer from anxiety and depression, making them predisposed to committing errors and negligence. The revolution in medicine is further expected to increase the workload for medical practitioners and make them dangerously stressed out.
In the wake of today’s crippling physician shortage, several reforms have been set in motion worldwide to handle the situation. This includes easing the physician licensing process, making it easier for international medical graduates to practice, and building reforms that propose improved and affordable access to medical care for all. While these initiatives are praiseworthy, one shouldn’t neglect the role of emerging technologies in bringing the healthcare industry back on rails. Conversational Artificial Intelligence (AI) in healthcare is geared up to redefine the industry’s core bottom lines. Accenture predicts that the US healthcare industry can save $150 billion a year by 2026 if it adopts AI applications. Given so, how global savings would look like is something we leave to the imagination.
Pivoting to the Clinic of Tomorrow with Conversational AI
Conversational AI has begun to make a rallying case for the stress-ridden healthcare industry. It offers an interactive, intuitive, and patient-centric approach to remediate the sector, which is currently battling a chronic undersupply of health professionals and low-quality care. Apparently, the experience offered by traditional voice recognition systems is static and disconnected. However, with healthcare conversational AI solutions, ‘empathy’ is the operative word. The customer asks questions, healthcare conversational chatbots comprehend it, and direct them to the right answer—all while leveraging their ability to emulate human thought and compassion. Below are the key areas where conversational AI is believed to bring much-needed stability for the healthcare sector.
- Transforming Patient Experience
Today’s healthcare sector has a skewed doctor-patient ratio. Exhausted doctors have to squeeze maximum number of people in their schedules, which undercut the quality of experience. Conversational AI, on the other hand, can significantly raise the bar of service quality by automating the routine processes. The technology can help healthcare providers diagnose symptoms on the go, identify patients requiring attention from the less urgent ones, and schedule appointments accordingly. In addition to this, they can collect basic information at the time of patient check-ins, eliminating the chances of human errors.
By leveraging cognitive behavioral therapy, conversational AI can play a vital role in scaling down the number of unnecessary doctor visits and helping patients save a lot of time and money. AI applications for healthcare can help patients feed the details of their conditions and in return, get an accurate analysis of what they are suffering from—all without any frustration or delay.
Conversational AI can remind patients of the medications they need to take and ensure that they follow the doctor’s instructions. It can also double up as a healthcare assistant to answer queries related to drugs and diet. They can also provide personalized answers based on the patients’ medical history to further facilitate the end-user experience.
- Revolutionizing Care and Reducing Physicians’ Burden
Conversational AI in healthcare works wonders when working with patients in remote locations. When the patient’s health is critical, personalized assessment is urgently needed. In such a case, conversational AI can help. Conversational AI has introduced the concept of Telemedicine chatbots, which can be used by healthcare providers to diagnose, treat patients, and provide clinical services remotely. These chatbots can effectively convey the instructions and procedures to follow by patient’s relatives until help arrives.
NLP-enabled healthcare chatbots can help doctors to retrieve critical information quickly without having to meddle with complex CRM tools. It helps increase the doctors’ effectiveness in administering the medications. Another important aspect of AI chatbots is that they can save every patient’s medical history in the database. This information can help doctors prescribe the right treatment at the right time and foresee problems before they occur.
Some people are allergic to certain types of drugs, which when administered lead to far serious repercussions than the disease itself. But that won’t happen now. The conversational AI chatbots can follow up and track how the patients feel after they are discharged from the hospitals. They can eliminate the need for physical checkups after patients have fully recovered, thus freeing doctors’ time for more patients.
Of all the things, conversational AI can assist the healthcare industry in reducing human-induced errors as it affects the trust people have on the industry.
Things to Remember When Getting Started with Conversational AI Implementation
Implementing conversational AI is no walkover. Make no mistake; it’s a paradoxical technology. While it promises breakthrough benefits, its wrongful implementation can strike many sour notes. So to avoid the sticking wicket, it’s important that leaders must carefully consider the following aspects:
- Integration: Conversational AI is tied to backend systems for funneling dialogues and capturing the contextual information that might help. Given so, enterprises must define an articulated integration model that streamlines data access and powers the contextual capabilities of a virtual assistant.
- Change Management: This emphasizes increased transparency by communicating to customers that might be interacting with a virtual assistant. Further, it involves helping employees adapt swiftly to technological change and encouraging their engagement during the transition phase.
- Security: Security takes precedence over any other matter. When it’s about implementing conversational AI, enterprises must stop and check whether or not they are complying with various data regulations across the world.
Prepare for Conversational AI
Amid the deepening crisis in the healthcare sector, conversational AI has emerged as a new avenue for change. From delivering timely care to easing the workload for medical professionals, the technology has been teasing out a number of possibilities to transform the essence of the industry. But, every rose has its thorn. The road to conversational AI has its own obstacles as most of the healthcare providers refuse to let go of legacy systems and resist to adapt. Lack of accountability and job loss are one of the most pressing AI drawbacks already. But, having said that, we fail to imagine a future where conversational AI will not disrupt healthcare in the coming years. The technology is on its way to raise an army of intelligent bots and assistants that will greatly enhance the delivery of advanced care. So, change isn’t a matter of if, but a matter of when.
Technical Analysis can be used by both traders and investors for entering into any trade. It provides a means to have a stronger conviction about the trade. Candlesticks are the most common form of Technical analysis tool used by the traders globally.
We have several types of candlestick patterns that are used by traders in their day to day trading. One such form of candlestick pattern that gives traders with a high level of conviction is the “CUP AND HANDLE FORMATION”. In this article, we are going to cover what is a Cup and Handle Pattern and how to use them for your trades.
What is a Cup and Handle Pattern?
A cup and handle pattern is a formation that resembles the cup. The main body of the formation is like a “U shape” and further, we have a small body or a downward drift, which resembles a handle attached to the cup. This pattern is generally a bullish pattern as it follows a series of bearish sessions.
From the perspective of the long term, this formation pattern may take from a few weeks to a year. And for a short term view, we have haven this formation in a minute, hourly, etc., time frame.
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How is Cup and Handle Formed?
The market trend is generally bearish at the start of formation. We see new lows being formed, followed by a period of consolidation/stabilization, and then we have a move up, similar to initial move down. Therefore, the chart formation is like a cup. Afterward, the price then moves sideways or comes down within a channel, forming the handle for the cup.
The handle can have the shape of “Reverse C” or “A Triangle” or “A sideways zone”. Ideally, for a valid Cup and Handle formation, the handle should not have a depth of more than 50% of the size of the cup. Let us understand the formation with the help of a few examples.
Cup and handle formation on DMart
In Figure 1, we see a formation of Cup and Handle and the formation, which took nearly four months to complete. The first phase is a part where the market sees bearish momentum. Then, in the 2nd phase, we see consolidation at the bottom of the cup.
Next, in the third phase, we see buying momentum coming back and market-moving back up to the high of the first phase. And in the final phase, we see a formation of the handle.
Cup and handle formation on TATA Motors
In Figure 2, the pattern formation is very similar to the pattern formation on the D’MART chart. There are four phases of fall, consolidation, rise, and the handle formation. The trade for TATA Motors after the formation gave a very decent return of nearly 90%.
When to Enter the Trade using Cup and Handle Pattern?
Before entering the trade, one has to wait for the formation of the handle. During the formation of the handle, the market is often in a sideways trading mode. But when then market breaks the top of the sideways channel, the Cup and handle formation is complete and the market is expected to rise from there.
There is no guarantee of the trade making money after the completion of the formation. The market could again come back in the sideways zone and the pattern might fail. And that is why, we should always have a stop loss for the trade, entered by using this pattern.
How to set a Stop Loss for the Trade?
Stop-loss while trading is a point beyond which the trader does not want to lose money. It is a point to exit the existing trade. So, while trading using this formation, the stop loss for the trade is the low of the handle.
What is the Exit Point for the trade?
As a rule, the height of the cup should be the profit target for the trade, from the point of breakout.
Say, for example, the price at the bottom of the candle is Rs. 100 and the height of the candle is 10 units. Therefore, Rs. 110 is the breakout point for the trade. The target for this trade should be Rs.120 (Breakout price = 110 + the depth of cup = 10). The other way to keep a target for the trade would be using Fibonacci Projections.
The stabilization period at the bottom of the cup is very important for this formation, as it forms a base for the cup. The stronger the base, the better the quality of the trade. The volume at the formation of the pattern also plays a very important role in the authenticity of the trade. If formed on low volume, the pattern might not be as reliable as the one formed with higher volumes.
The Cup and handle formation takes some time to spot and trade upon. Constant practice is the best way to spot this pattern. But once if we get a hang of the pattern, it provides trades with very good risk-reward.
One should ideally enter the trade at the confirmation of the pattern as it provides trades with better conviction. And always have a stop loss for every trade which we enter in the market. Happy trading and Money making.