Vu Luan an 18-year-old from Quang Ninh, even though he had both parents around, he still always felt lonely. Because of their busy trading business, his parents entrusted all his meals and studies to the maid and the tutors they hired. If he did something wrong, their first reaction was to resort to physical punishment. Even when there were changes in his mental and emotional state, Luan couldn’t share with anyone and had to overcome it on his own. Every time he went to a friend’s house and saw their parents joking happily with their children, he wished that was his family.

This favoritism often occurs in families with traditional families, where sons are favored over daughters, or parents prefer the eldest child when all emotions are fresh, or the youngest child is most attention. This situation is also related to the personality and behavior of the child or personal reasons such as the child’s resemblance to the appearance or personality of the father or mother. “Parents tend to prioritize the child who is most like them to remind themselves or represent what is considered successful parenting,” Mrs. Huong said.

Another reason is that family members lack emotional connection. This lack of sharing may depend on many factors such as age, personality, thoughts… causing conflicts when children feel that their parents do not understand them. “The lack of harmony comes from parents imposing their will on their children while the children feel unfair; using the idea of ‘other people’s children’ to force children to conform to the desired parental model or advising children to behave properly but violating it themselves,” Mrs. Huong shared.

Once children feel alienated within their own families, according to Dr. Nguyen Thi Minh, a lecturer at the National Academy of Public Administration in Ho Chi Minh City, they will seek trust from friends or acquaintances, leading to abuse, deception as well as encountering many emotional issues such as anxiety disorders, or even rebellion.

To ensure that no child feels lonely in their own home, Dr. Vu Thu Huong believes that the most important thing is that parents must think carefully before communicating with their children rather than the mindset of “Whatever my child says is fine.” Parents need to make an effort to approach their children, acknowledge their emotions without judgment. In this way, children will gradually open up instead of locking their emotions tightly. Furthermore, parents should establish the principle of “Permitted – Prohibited – Required”, what can be done, what cannot be done, and what must be done, requiring both children and adults to comply. When children violate rules, parents’ attitudes should be fair, and when distributing benefits, it should be fair as well. If they cannot express it verbally, they can use handwritten letters, emails, or text messages to convey messages, resolve conflicts between family members.

In agreement, Dr. Nguyen Thi Minh believes that there are 5 languages of love in psychology: Words of affirmation; Acts of kindness; Quality time; Gifts; and Physical touch. To strengthen relationships between family members, parents must recognize these languages of love and apply them frequently to their children. Moreover, through intuition, they need to quickly identify changes in their children’s psychology to adjust their behavior accordingly.

AI has the potential to enhance both teaching and learning processes. By analyzing vast amounts of data, AI-powered systems can personalize education to meet individual needs, catering to different learning styles and paces. Intelligent tutoring systems, for instance, can adapt to students’ progress and deliver tailored content, ensuring a more efficient and effective learning experience.

Furthermore, AI in education can automate administrative tasks, freeing up teachers’ time to focus on fostering meaningful student-teacher relationships and providing personalized guidance. By automating tasks such as grading assignments and generating reports, AI allows educators to dedicate their expertise towards facilitating deeper learning and critical thinking.

The integration of AI also enables the creation of immersive and interactive learning environments. Virtual reality and augmented reality technologies can transport students to new worlds, making abstract concepts tangible and enhancing engagement. This shift from passive to active learning promotes creativity, problem-solving, and collaboration skills among students.

One of the key challenges in education is identifying and addressing individual learning gaps. Traditional classroom settings often struggle to provide personalized attention to each student due to time constraints. However, AI technologies can analyze students’ performance and identify knowledge gaps or areas of improvement. By doing so, AI empowers educators to personalize instructions and interventions, ensuring every student receives the necessary support they need to succeed.

The rise of AI also introduces new possibilities in the field of assessment and evaluation. AI technologies can provide immediate feedback, helping students gauge their understanding and identify areas for improvement. This timely feedback facilitates a continuous learning process, allowing students to progress at their own pace while mastering concepts more effectively.

As AI continues to evolve, it is important to address concerns regarding the ethical implications of its implementation in education. Privacy, security, and biases are some of the critical areas that need to be carefully considered to ensure responsible and equitable use of AI-powered technologies. Transparency and accountability should be fundamental principles guiding the integration of AI in educational settings.

While AI holds great promise, it is crucial to recognize that it is not a substitute for teachers. Rather, AI complements the role of educators by providing additional tools and resources, enhancing instructional delivery, and supporting individualized learning experiences. The human aspect of education, including emotional intelligence, inspiration, and guidance, remains essential in shaping the holistic development of students.

In conclusion, the rise of artificial intelligence is transforming the field of education. AI technologies bring unprecedented opportunities to personalize learning, create immersive environments, and improve assessment methods. However, its implementation should be done thoughtfully, addressing potential ethical concerns and ensuring the continued importance of human educators. The era of AI in education marks a paradigm shift that holds immense potential to empower students and educators alike, shaping a brighter future for education.

Economic Impact and Employment Disruption

One of the major ethical concerns surrounding AI is its potential impact on the job market. As AI technologies continue to develop and automate tasks, there is a growing fear that many jobs will become obsolete, leading to unemployment and economic inequality. It is crucial to find ways to mitigate these effects by investing in the retraining and upskilling of workers to adapt to the changing job landscape.

Privacy and Data Security

Another ethical challenge posed by AI is the collection and use of personal data. AI systems rely on vast amounts of data to learn and make predictions, which raises concerns about privacy and data security. Companies and organizations must be transparent about how they handle data and ensure that proper security measures are in place to protect individuals’ privacy. Additionally, regulations should be developed to safeguard against the misuse of personal information.

Algorithm Bias and Fairness

AI algorithms are created by humans and can inherit biases present in the data they are trained on. This raises ethical concerns regarding fairness and discrimination. If AI systems are making decisions that affect people’s lives, such as loan approvals or employment screenings, it is essential to ensure that these algorithms are fair and unbiased. Regular audits and diversity in AI development teams can help address these issues.

Accountability and Transparency

Accountability for AI systems is crucial to address ethical challenges. As AI becomes more complex and autonomous, it becomes difficult to determine who should be held responsible for errors or harm caused by these systems. Clear guidelines and regulations should be established to ensure transparency and accountability in the development and deployment of AI technologies.

Human Control and Agency

AI systems possess the potential to make decisions and take actions without direct human involvement. This raises concerns about loss of human control and agency. It is essential to strike a balance between autonomous decision-making and human oversight to prevent AI from making potentially harmful or unethical choices. Ensuring that AI is designed to augment human capabilities rather than replace them is vital in addressing this ethical challenge.

Unintended Consequences and Risk Mitigation

AI systems are designed to optimize specific goals, but they may produce unintended consequences or unforeseen risks. For example, self-driving cars may prioritize passenger safety over pedestrians, leading to ethical dilemmas. It is crucial to anticipate and actively mitigate these risks through rigorous testing, regulation, and ongoing monitoring of AI systems.

Conclusion

As artificial intelligence continues to evolve and integrate into various industries, it presents numerous ethical challenges that must be addressed. From economic impact and employment disruption to privacy and algorithm bias, these challenges require careful consideration and proactive measures to ensure that AI benefits society while upholding ethical principles. By fostering a multidisciplinary approach involving technologists, ethicists, policymakers, and society as a whole, we can navigate these challenges and shape AI technologies that are both innovative and ethically responsible.

What is SEO?

SEO is the practice of improving your website’s visibility in search engine results pages (SERPs). The goal is to rank higher in organic (non-paid) search results, so that more people can find your website when searching for relevant keywords.

Why is SEO important?

With billions of websites out there, it’s easy for yours to get lost in the crowd. When you optimize your website for search engines, you increase the chances of attracting qualified traffic and potential customers. SEO helps you:

• Increase organic search visibility

• Drive targeted traffic to your website

• Improve user experience and website usability

• Build credibility and trust with your audience

• Boost conversions and revenue

On-Page SEO Techniques

On-page SEO refers to optimizing the elements on your website itself. Here are some essential techniques to boost your on-page SEO:

• Keyword research: Identify relevant keywords your target audience is likely to use when searching for your products or services.

• High-quality content: Create informative, engaging, and unique content that focuses on your keywords.

• Title tags and meta descriptions: Craft compelling, keyword-rich title tags and meta descriptions for each web page.

• Header tags: Use H1, H2, and H3 tags to structure your content and improve readability.

• URL optimization: Keep your URLs short, descriptive, and keyword-rich.

• Image optimization: Optimize image file names, alt tags, and sizes for better search engine understanding.

• Internal linking: Link between relevant pages on your website to improve navigation and user experience.

Off-Page SEO Techniques

Off-page SEO involves activities that take place outside of your website to improve its search engine rankings. Here are some essential techniques:

• Link building: Acquire high-quality backlinks from reputable websites to improve your website’s authority.

• Social media marketing: Leverage social media platforms to promote your content and engage with your audience.

• Online directories: Submit your website to relevant online directories to gain exposure and improve visibility.

• Guest blogging: Contribute informative articles to other reputable websites in your industry to increase brand awareness and build backlinks.

• Online reputation management: Monitor and respond to online reviews and comments to maintain a positive online reputation.

SEO Tools and Analytics

Several tools and analytics platforms can assist you in optimizing your website for search engines. Here are some popular ones:

• Google Analytics: Track and analyze website traffic, user behavior, and conversion rates.

• Google Search Console: Monitor your website’s performance, submit sitemaps, and identify potential issues.

• Keyword research tools: Use tools like Google Keyword Planner, SEMrush, or Moz to discover and evaluate relevant keywords.

• Backlink analysis tools: Tools like Ahrefs, Majestic, or Moz can help you analyze your website’s backlink profile and find opportunities for improvement.

• Website audit tools: Conduct regular audits using tools like Screaming Frog or SEMrush to identify technical issues and areas for optimization.

Stay Up-to-Date and Adapt

SEO is an ever-evolving field, with search engine algorithms constantly changing. To stay ahead of the competition, it’s crucial to regularly update your SEO strategies and adapt to the latest trends and best practices. Keep an eye on industry blogs, forums, and news sources, and invest in continuous learning to maintain your website’s visibility and rankings.

By implementing these essential SEO techniques and staying informed about the latest industry developments, you can boost your website’s visibility, attract more organic traffic, and ultimately achieve long-term success online.

1. Improved Decision-Making

AI-enabled robotics systems possess the ability to analyze vast amounts of data in real-time and make informed decisions based on this analysis. This allows robots to respond to dynamic environments and perform tasks more efficiently. With the ability to learn and adapt, they can optimize their actions and improve their performance over time.

2. Enhanced Perception and Sensing

Artificial intelligence equips robots with superior perception and sensing capabilities. They can perceive and interpret their surroundings using sensors such as cameras, LIDAR, and ultrasonic sensors. These sensors enable robots to detect obstacles, recognize objects, and navigate complex environments with ease. With AI, robots can also understand human commands and gestures, making human-robot interaction more intuitive.

3. Intelligent Automation

AI-powered robotics systems excel at automating repetitive and labor-intensive tasks. By harnessing computer vision, natural language processing, and machine learning, robots can take on various roles in industries like manufacturing, logistics, and healthcare. They can assemble products, handle complex logistics operations, and even perform surgeries with high precision. This frees up human workers to focus on more creative and strategic responsibilities.

4. Increased Efficiency and Productivity

The integration of AI in robotics has greatly boosted efficiency and productivity in various fields. Robots equipped with intelligent algorithms can analyze production processes, identify bottlenecks, and optimize workflows, leading to reduced cycle times and improved output quality. Additionally, AI-powered robots can work continuously without the need for breaks, resulting in higher productivity and cost savings.

5. Improved Safety

AI-based robotics systems have significantly improved safety in hazardous work environments. Robots can handle dangerous tasks that would put human workers at risk, such as working with toxic chemicals or exploring uncharted territories. AI algorithms enable robots to make decisions that prioritize safety, reducing the likelihood of accidents and injuries.

6. Future Implications

The integration of AI and robotics holds immense potential for the future. With ongoing advancements in machine learning and robotics technology, we can expect even more capable and intelligent robots. They could revolutionize various sectors, from transportation and agriculture to healthcare and space exploration. AI-enabled robots may even assist humans in challenging tasks and contribute to scientific breakthroughs.

Conclusion

Artificial Intelligence has become a game-changer in the realm of robotics. The combination of AI and robotics has led to significant advancements in automation, efficiency, and safety. These intelligent machines are reshaping industries and revolutionizing the way we live and work. As AI continues to evolve, we can anticipate more sophisticated robotics systems that will unlock new possibilities and drive innovation in a wide range of fields.

1. Data Dependence

AI algorithms require large amounts of quality data for training and learning. The performance and accuracy of AI systems heavily rely on the quality and diversity of the data they are exposed to. Insufficient or biased data can lead to inaccurate, biased, or discriminatory outcomes. Additionally, AI systems can be vulnerable to manipulation or targeted attacks if the data they are trained on is compromised.

2. Lack of Contextual Understanding

While AI systems have excelled in specific tasks such as image and speech recognition, they often struggle with grasping contextual understanding. AI lacks the ability to comprehend nuanced human emotions, sarcasm, or cultural references, leading to misinterpretations or inappropriate responses. This limitation can hinder effective communication and raise ethical concerns, especially in customer service or sensitive situations.

3. Overreliance on Data

AI systems heavily depend on the data they are trained on, which can lead to overreliance on patterns present in the training data. This overreliance can result in biased decision-making or perpetuating societal prejudices. For example, if an AI hiring system is trained on historical data that reflects discriminatory hiring practices, it might perpetuate those biases by recommending candidates based on potentially unfair characteristics such as race or gender.

4. Lack of Creativity and Intuition

While AI excels in tasks that require analytical abilities and pattern recognition, it lacks human qualities such as creativity and intuition. AI systems cannot think outside the box, dream up new ideas, or produce original works of art. The essence of human creativity and intuition, which often involves abstract thinking and emotional experiences, is yet to be replicated by AI. It remains a significant limitation in fields that demand imagination and innovation.

5. Ethical Concerns

AI raises various ethical concerns. As AI systems become more autonomous, decisions made by AI algorithms can have significant consequences. There is a need for transparency and accountability to ensure that AI systems make fair and unbiased decisions. Moreover, AI systems can amplify existing societal biases, leading to discriminatory outcomes in areas such as hiring, lending, or criminal justice. Addressing these ethical concerns is crucial to prevent potential harm and impact on human lives.

6. Job Displacement

The advancements in AI and automation have the potential to disrupt existing job markets. As AI systems become more capable, there is a risk of job displacement for certain occupations. Roles that involve routine, repetitive tasks are particularly vulnerable. Ensuring a smooth transition and reskilling of the workforce is essential to mitigate the negative impact on individuals and society.

7. Security and Privacy Risks

The reliance on AI systems also introduces security and privacy risks. AI algorithms are susceptible to adversarial attacks, where malicious actors manipulate inputs to deceive or exploit AI systems. Additionally, AI systems often handle large amounts of sensitive personal data, raising concerns about data privacy and potential breaches. Robust safeguards and security measures must be implemented to protect against these risks.

Conclusion

While artificial intelligence has made remarkable achievements in recent years, it is essential to recognize and address its limitations and risks. From data dependence and lack of contextual understanding to ethical concerns and job displacement, these challenges require careful consideration and proactive measures. By understanding these limitations and working towards mitigating associated risks, we can harness the true potential of AI while ensuring a responsible and ethical implementation.

Enhancing Vehicle Safety

AI-powered systems play a pivotal role in enhancing vehicle safety. With the help of sensors and cameras, AI can detect potential hazards on the road, such as pedestrians, cyclists, and other vehicles, and take proactive measures to prevent accidents. Smart systems equipped with AI algorithms can analyze data in real-time to identify potential risks, warn the driver, and even take autonomous actions to avoid collisions. This technology has the potential to significantly reduce human errors, making road travel safer for everyone.

Autonomous Driving

One of the most significant advancements enabled by AI in the automotive industry is the development of autonomous driving technology. Self-driving cars equipped with AI algorithms can interpret complex data from sensors, cameras, and GPS to make real-time decisions about acceleration, braking, and steering. These intelligent machines can navigate roads, respond to traffic conditions, and park on their own, eliminating the need for human intervention. With the introduction of autonomous driving, we can envision a future where commuting becomes more efficient, reducing traffic congestion and improving the overall transportation experience.

Advanced Driver Assistance Systems (ADAS)

AI has enabled the development of advanced driver assistance systems (ADAS) that assist drivers in various ways. These systems use AI algorithms to analyze data from sensors and cameras to provide real-time information, alerts, and warnings to drivers. ADAS features such as adaptive cruise control, lane-keeping assist, and automatic emergency braking, among others, not only enhance driving comfort but also improve safety on the road. AI-powered ADAS systems continuously learn and update their algorithms, ensuring they stay up-to-date with the latest road conditions and driver preferences.

Improved Vehicle Infotainment

AI has also transformed the in-vehicle infotainment experience. With the integration of voice recognition and natural language processing technologies, drivers can interact with their vehicles through voice commands, allowing for a safer and hands-free operation. AI algorithms can understand and respond to voice queries, provide real-time traffic updates, suggest nearby restaurants or gas stations, and even personalize the driving environment based on individual preferences. Through AI, vehicle infotainment systems have become more intuitive, convenient, and user-friendly.

Efficient Traffic Management

AI plays a vital role in optimizing traffic management and reducing congestion on the roads. Intelligent transportation systems (ITS) powered by AI can collect and analyze vast amounts of data from various sources, such as traffic cameras, GPS, and weather reports. By processing this information, traffic management systems can predict road conditions, optimize traffic signal timings, and efficiently redirect vehicles to less congested routes. AI algorithms continuously learn from live traffic data, ensuring efficient management of traffic flow and minimizing travel time for commuters.

Conclusion

The integration of artificial intelligence in the automobile industry is revolutionizing transportation as we know it. With enhanced safety, autonomous driving capabilities, advanced driver assistance systems, improved vehicle infotainment, and efficient traffic management, AI is shaping the future of the automotive sector. As technology continues to advance, we can expect further innovations that will make transportation more reliable, convenient, and environmentally friendly. Artificial intelligence holds the key to unlocking the full potential of the automobile industry, paving the way for a futuristic and connected transportation system.

On the big brands’ side of the app marketing equation, the challenges are both to reach and retain app users on the scale. On top of these challenges, there is a heat competition for people’s attention – multiple studies have shown that on average, on a daily basis, people use just a handful of mobile apps, and to break through to that small circle is a marketing feat on of itself.

As you begin to build your mobile app marketing strategy, you ask yourself – how much does it cost to market an app? Today mobile app marketing costs consist of many important components that cover the entire lifespan of an app and can be divided into three stages – Pre-Launch, Launch, and Post-Launch. Further on we are covering app marketing campaign constituents that represent these three stages.

If you need a quick glimpse into what app marketing cost components look like, use the following key data points list for reference.

Key Data Points

• App market research – $5k…$15k
• App beta testing – up to $5k
• ASO tool – $25..$1,500 / month
• App marketing agency pricing – up to $25k / app
• App PR outreach – $100…$300 / hour
• Influencer Marketing – $10…$18k / month
• Average Cost Per Install (CPI) – $1.75 / install
• Cost Per Action (CPA): Register – $3.5 / install
• CPA: In-app purchase – $87 / install
• CPA: Purchase – $75 / install
• CPA: Subscribe – $37 / install

Let’s look at the trajectory of app marketers’ spending in recent years. Any app marketing campaign budget has several components and the most significant of those is expenses on paid user acquisition, specifically – the app install ads.

App Install Ad Spend

In February 2020 AppsFlyer published a white paper that summed up the data for the app install spend in 2019 and projected for the 2019-2022 period. Obviously, the data was compiled before the COVID pandemic hit the world in March 2020 and wracked havoc in the world economy but still it gives us the general curve of how much money was spent and was projected to be spent in recent years.

Throughout the period, the bulk of the app install ad spend is presented by Asia-Pacific region countries, where China, India, Japan, and Indonesia are setting the tone. In 2019 the total spending in that region was $29.9 billion and this year it’s projected to reach $61.1 billion.

North America holds second place on the app install spend chart, in 2019 app marketers in US spent $14.2 billion and by the end of this year is projected to spend $27.5 billion. European app marketers spent $10.6 billion back in 2019 and this year are expected to invest $22.9 billion in driving app installs. Finally, Latin America is closing the chart with $3.1 billion in 2019 and about $7 billion in 2022

Mobile App Marketing Plan

Next up is the general picture of what kind of app marketing activities marketers need to allocate and spend their budget on. On the following graph you can see a big picture of what an app marketing plan consists of. As time goes by, new app marketing channels pop up but the overall approach to how market mobile app efficiently remains the same. It starts with the pre-launch phase that involves marketing before the app’s release, once the app is launched, multiple app marketing tools are involved to reach out the app’s audience and ideally reach the top ranks and finally the third stage that is all about sustaining the app’s growth and growing its user base.

On this graph Facebook Mobile Ads is just one example of the ad platforms to drive paid app installs, the full list would include Apple’s Search Ads, Google UAC, TikTok, Snapchat, Twitter, Reddit and Pinterest Ads, and more.

App Pre-Launch Costs

The Pre-Launch components are market research that needs to be conducted before any steps are taken, beta testing, to make sure a mobile app is ready for launch, and possible bugs that won’t create a blowback once it’s launched on an app store. As well as App Store Optimization to make sure an app will be found by its potential users and appeal to them enough to be downloaded and actually used afterward.

Media coverage with various publications, being covered by Influencers and various actions to tap into viral marketing are also important at this pre-market stage. It’s important to create anticipation, and awareness of the app before it hits the market so people know when to go to app stores to download an app right after it was released.

In addition, all marketing assets such as a website, Social Media accounts, and any graphics associated with it need to be ready to create a cohesive look for an app across all marketing channels app users will be discovering the app.

App Market Research Costs

Because a mobile app is a product like any other that needs to meet certain people’s needs, any app marketing starts with a market research to define the market and if there are needs that the app will meet. Such research on average may cost between $5,000 and $15,000.

App Beta Testing Costs

To ensure that an app is ready to be released on a market and serves its users well, it needs to be tested. According to one research such beta testing, conducted before an app’s release, may cause up to $5,000. There are also a number of beta testing services that offer an online subscription for their services, with a pricing range based on the number of beta testers involved.

App Store Optimization Costs

ASO or App Store Optimization is a process of tuning a mobile app’s marketing copy – keywords, title, description, screenshots, icon to improve its chances to be found on an app store by its potential users. To do ASO for an app brands and indie developers may either perform it in-house if a proper expertise is in place, use online tools or hire an app marketing agency to take care of it. An average price for ASO tool ranges from $25..$,1,500 / month, depending on keywords volume analyzed and specific features. To hire an app marketing agency to carry on an App Store Optimization, brands or app developers would need to pay for ASO service as a part of an app marketing package that may costs north of $1,000 and up to $25,000 per app.

App PR Outreach Costs 

One of the app marketing techniques that is well established is PR outreach and pitching an app to online publications via a press release or direct communication. This technique is time consuming and requires having established relationships with media to increase chances of an app to be actually covered. On average a PR agency would charge an app developer or a brand $100 – 300 / hour for media outreach.

Influencer Marketing Costs

Tapping into the power of Influencer Marketing is one of the recent trends for many industries and app industry is one of them. Essentially influencers are capable to deliver for brands and app developers what previously was available only with celebrities – an endorsement. An Influencer Marketing platform may cost to a brand $10,000 and up for a campaign to connect an app with its audience. An Influencer Marketing agency management fees may reach $10k – $18k a month and so, obviously, both options aren’t on the table for an indie developer and only big brands can allocate a certain amount of an app marketing budget for such kind of marketing.

Viral Marketing Costs

Ironically Viral Marketing shouldn’t involve any costs by definition but still – some app brands may try to ignite it by launching TikTok / Instagam /Snapchat / YouTube paid ad campaigns to spread the message about an app and finally get it viral with no extra expenses down the road. In this case, marketing budget for such viral popularity inducing paid ad campaigns may vary significantly.

App Promotion Assets Costs

Any mobile app, regardless of app category and complexity, requires creating an online presence in a form of a website and social media channels on all of some of the top platforms such as TikTok, Instagram, YouTube, Snapchat, Facebook, Twitter, and Pinterest. App developers and brands have two choices – either hire a web design studio to create a website and in this case it would cost around $5,000 –  $25,000 or use online website builder from such company as Squarespace that charges $18 a month and up for a business website or Wix that charges $12.5 a month for a business website. Even though social media account creation itself is free but the graphics for each should be developed professionally to ensure visual consistency for an app’s brand online.

App Launch & Post Launch Costs

Once a mobile app is ready to be launched, two app marketing costs will be dominating the balance sheet – CPI, aka Cost-Per-Install and CPA, aka Cost-Per-Action. Both brands and indie app developers will need to spend big portion of their app marketing budget to acquire users for their app and even more to get them perform a specific action(s) that is expected – register an account, make an in-app purchase, subscribe to a service or make a reservation.

Despite the rise of such powerful app install platform as TikTok Ads, Facebook Ads is stil number one when it comes to driving mobile app installs. Last April, the time when Apple finally released its ATT framework that caused significant drop of the FB Ads platform, the CPI rates skyrocketed to more than $5 per mobile app install. In May it shot up even more significant to $7. With an exception in October of 2021, since Facebook Cost Per Install rates have been dropping down dramatically. As of April, 2022, a single app install driven by Facebook Ads costs only $1.3

App User Actions Cost

The other crucial app marketing cost, that is essential to measure for running an effect app marketing campaign , actually trumps Cost-Per-Install in its significance because it covers the most important aspect of an app marketing – specific action that app marketers expect mobile users to take. Getting mobile users to install is only the first step in a mobile app life cycle, for a mobile app to be profitable app marketers need to get their app users to take an action that the app suggests, such as registration, placing a reservation, making in-app purchase, buying a physical product or service, subscribing to a service on a recurrent fashion. Apart from an app install, the cheapest action achieve is registration that costs $3.6 for iOS and $2.2 for Android, the most popular monetization mechanism – in-app purchase costs marketers to achieve $77.5 on iOS and $86.7 on Android. In contrast with previous years when subscription was the most expensive action app marketers had to pay for, now it costs only $33 for iOS and  $46 for Android apps. Curiously the price that app marketers pay for app users to purchase via app is almost identical to the in-app purchase one.

Push Notifications Platforms Cost

One of the most effective and widely adopted mobile app marketing tools are Push Notifications platforms that allow app marketers to communicate with their apps user base to keep their loyalty, address their concerns, pick up any improvements they may suggest for the app, and avoid them churning away, which is the awful problem they need to deal with. Depending on the number of subscribers that the specific plan supports, as well as extra features and API access, the pricing for Push Notification services may lay within $30 – $250 / month.

Final Thoughts

Summing up all kinds of app marketing expenses mentioned above, we may come up with a figure of at least $10k that is necessary to plan an app go-to marketing strategy. Because the app industry is extremely crowded, talking about doing app marketing for free does not make any sense anymore, regardless of the industry and the app’s purpose. Because the ultimate competition that app marketers are in is about people’s time and attention, it’s become paramount to allocate the app marketing budget to marketing channels that are capable to deliver the message to potential app users when it’s appropriate and when they are receptive to this message. Doing otherwise would be simply wasting an app marketing budget.

(Source: Business of apps)

Below are some photos of Super Family development team at the event.

(Sep 23rd 2023)