Reputation management for Apps and Games AppFollow
Reputation management involves monitoring app ratings, analyzing user reviews, and responding to reviews. It is important for user acquisition, app store optimization, and customer support. Developers should aim for an average rating of at least 4.0 but ideally 4.5 or higher. Sentiment analysis of reviews can provide insights and replying to reviews quickly can increase ratings by an average of 0.7 stars. Certain types of reviews like those where the rating changed significantly or are long deserve close attention. Constantly improving the app based on user feedback is key to maintaining a strong reputation.
App Retention Strategies for 2020 by Evgeny Kruglov & Mike BarclayMoEngage Inc.
You probably know that driving new users to install your app is not enough! You need to ensure they stay back and derive value from your app.
As you begin 2020, we wanted to help you plug the critical leaks and grow your marketing LTV. Here's the presentation from a webcast with AppFollow, It discusses the reasons why users do not return to your app and how you can plug those leaks using a simple engagement strategy.
Studying the Dialogue Between Users and Developers of Free Apps in the Google...SAIL_QU
The study analyzes user-developer interactions through reviews and responses on the Google Play Store. It finds that responding to reviews has a significant positive impact, with 84% of rating increases due to the developer addressing the issue or providing guidance. Three common response patterns were identified: only negative reviews, negative or longer reviews, and reviews shortly after an update. Developers most often thank the user, ask for details, provide guidance, or ask for an endorsement. Guidance responses can address common issues through FAQs. The analysis considered over 2,000 apps, 355,000 review changes, 128,000 responses, and 4 million reviews.
KnowYoType is a new Android app that recommends the best apps for a user based on their profile rather than what others like. The app aims to help people find apps suited to their needs, hobbies and profession among the many available. It will launch with free and premium versions. The marketing strategy is to promote the free version widely to achieve 300,000 downloads in the first year and convert 20% of free users to the premium version. Tactics include games to determine a user's profile and providing accurate, fast app recommendations in attractive graphs. The premium version offers additional features for a subscription fee.
How to get 30k+ App Store reviews every monthAppFollow
This document discusses the importance of app ratings and reviews for conversion rates. It notes that 79% of users check reviews before downloading an app and that apps with ratings of 1-3 stars can lose half of potential downloads. The document recommends regularly monitoring reviews and using in-app rating requests to significantly increase ratings. It provides tips on the best times to prompt users to rate the app to receive more positive reviews and higher download numbers.
Performance management problem and solution overview : GroSum GroSum
Overview of Performance Management issues and how GroSum is benefiting organization. By automating the entire Performance Management process, GroSum makes the work of HR much easier and saves time for other activities.
With Checkins and Instant Feedback, GroSum is eliminating non-engagement from Performance Management.
Topics covered here : Checkins, Instant Feedback, GroSum Review Cycle, Review Letters, Automated Email and notifications
Reputation management for Apps and Games AppFollow
Reputation management involves monitoring app ratings, analyzing user reviews, and responding to reviews. It is important for user acquisition, app store optimization, and customer support. Developers should aim for an average rating of at least 4.0 but ideally 4.5 or higher. Sentiment analysis of reviews can provide insights and replying to reviews quickly can increase ratings by an average of 0.7 stars. Certain types of reviews like those where the rating changed significantly or are long deserve close attention. Constantly improving the app based on user feedback is key to maintaining a strong reputation.
App Retention Strategies for 2020 by Evgeny Kruglov & Mike BarclayMoEngage Inc.
You probably know that driving new users to install your app is not enough! You need to ensure they stay back and derive value from your app.
As you begin 2020, we wanted to help you plug the critical leaks and grow your marketing LTV. Here's the presentation from a webcast with AppFollow, It discusses the reasons why users do not return to your app and how you can plug those leaks using a simple engagement strategy.
Studying the Dialogue Between Users and Developers of Free Apps in the Google...SAIL_QU
The study analyzes user-developer interactions through reviews and responses on the Google Play Store. It finds that responding to reviews has a significant positive impact, with 84% of rating increases due to the developer addressing the issue or providing guidance. Three common response patterns were identified: only negative reviews, negative or longer reviews, and reviews shortly after an update. Developers most often thank the user, ask for details, provide guidance, or ask for an endorsement. Guidance responses can address common issues through FAQs. The analysis considered over 2,000 apps, 355,000 review changes, 128,000 responses, and 4 million reviews.
KnowYoType is a new Android app that recommends the best apps for a user based on their profile rather than what others like. The app aims to help people find apps suited to their needs, hobbies and profession among the many available. It will launch with free and premium versions. The marketing strategy is to promote the free version widely to achieve 300,000 downloads in the first year and convert 20% of free users to the premium version. Tactics include games to determine a user's profile and providing accurate, fast app recommendations in attractive graphs. The premium version offers additional features for a subscription fee.
How to get 30k+ App Store reviews every monthAppFollow
This document discusses the importance of app ratings and reviews for conversion rates. It notes that 79% of users check reviews before downloading an app and that apps with ratings of 1-3 stars can lose half of potential downloads. The document recommends regularly monitoring reviews and using in-app rating requests to significantly increase ratings. It provides tips on the best times to prompt users to rate the app to receive more positive reviews and higher download numbers.
Performance management problem and solution overview : GroSum GroSum
Overview of Performance Management issues and how GroSum is benefiting organization. By automating the entire Performance Management process, GroSum makes the work of HR much easier and saves time for other activities.
With Checkins and Instant Feedback, GroSum is eliminating non-engagement from Performance Management.
Topics covered here : Checkins, Instant Feedback, GroSum Review Cycle, Review Letters, Automated Email and notifications
Scribd, inc. slide share - google play - worldwide - 2021-05-03 18-07_11Noômen Ben Hassin
The document discusses how to use App Review Management to support mobile app growth. It notes that responding to reviews can increase customer satisfaction and retention, improve the product, and save time and money. It provides an overview of a mobile app's ratings and reviews and recommends automating responses to repetitive reviews, addressing unanswered reviews, and integrating helpdesk tools to streamline support and increase productivity. The goal is to increase organic growth, in-app transactions, and average lifetime customer value through higher ratings and improved customer experience.
The Journey from User Acquisition to Advocacy - CleverTap & AppFollowCleverTap
In this webinar, AppFollow and CleverTap explore how brands should optimize experience right from being discovered, converting visitors into customers, retaining these customers and turning them into brand advocates.
The document discusses a new mobile analytics app called Media Mobile Analytics. It aggregates data from various social media and news sources to provide customizable dashboards and reports. The app utilizes Microsoft's Power BI platform and works across various mobile platforms. It provides analytics and insights for brands in an affordable and customizable way to help companies make strategic decisions. Some of its key features include social media monitoring and analysis, keyword tracking, share price analysis, and brand news aggregation.
AppFollow: all-in-one service to win in app storesAppFollow
This document is a product deck for AppFollow, an all-in-one service for monitoring mobile app data, managing customer reviews and support, and optimizing app store optimization (ASO). It summarizes AppFollow's key features including dashboards for tracking app metrics, ratings, reviews, and organic growth. It also describes tools for automating customer support, conducting keyword research, and integrating with other services. Testimonials are provided from existing customers praising AppFollow's ability to streamline workflows and gain insights from user feedback. Pricing plans and additional services like ASO consulting are also mentioned.
The document analyzes and compares the online presence of a client and its competitors across various digital platforms. It finds that the client has a low global traffic rank and sites linking to its website. On social media, the client does not have an official Twitter, blog or recent Facebook posts. Sentiment of online mentions of the client are mostly positive or neutral. Videos of the client have a low average rating. The document recommends improving the client's online presence on blogs, Twitter and Facebook to better compete against competitors who perform better on some of these metrics.
The document discusses the process for closing projects, including administrative closure, performance evaluations, and project audits. It outlines the key activities for project closure like assigning closure tasks and monitoring implementation. The project audit process is also summarized, including collecting data from the project team, organization, and stakeholders to identify lessons learned and areas for improvement on future projects.
How to reply to app reviews with Freshdesk and AppFollowAppFollow
The document discusses four strategies for working with app reviews: 1) Reply to all reviews, which is best for new apps or those getting 10-20 reviews per week. 2) Reply only to popular and featured reviews, which works for apps getting over 50 reviews per week with under 10% negative reviews. 3) Reply only to negative reviews, for apps over 50 reviews per week with over 10-15% negative reviews. 4) Automate replies to reviews, which works for established companies using templates and assigning reviews. The document emphasizes not ignoring any reviews, letting users know when problems are fixed, and monitoring for spam.
This document discusses strategies for user acquisition through organic and paid channels. It begins by covering organic user acquisition techniques like keyword research, creating appealing app store metadata, and leveraging user reviews. It then covers paid user acquisition channels like Facebook ads, Google Ads, and mobile ad networks. Key recommendations include choosing keywords strategically, split testing app assets, building communities on social media, and attributing the relationship between paid and organic installs for better ROI. The document provides checklists and examples to help optimize different acquisition tactics.
Intro to Web Analytics - www.Cooperate.NYC - Cohort 3, Summer 2015: Day 2emcubedanalytics
The document provides an agenda and materials for a 3-day web analytics training. Day 1 covers introductions and key concepts. Day 2 focuses on gathering data through segmentation and external tools, and includes exercises to practice these skills. Day 3 is about applying insights through reports and user profiles. Links are provided to presentations, guides and workbooks for each day's session.
Studying User-Developer Interactions Through the Distribution and Reviewing M...SAIL_QU
This document discusses studying user-developer interactions through the distribution and reviewing mechanisms of the Google Play Store. It analyzes emergency updates made by developers to fix issues, the dialogue between users and developers through reviews and responses, and how the reviewing mechanism can help identify good and bad updates. The study found that responding to reviews is six times more likely to increase an app's rating, with 84% of rating increases going to four or five stars. Three common patterns of developer responses were identified: responding to negative or long reviews, only negative reviews, and reviews shortly after an update.
On the Link Between Mobile App Quality and User ReviewsSAIL_QU
The document summarizes three papers by the author on improving mobile app quality. The first paper analyzed user reviews to find the most common complaints were functional errors, missing features, and apps crashing. The second studied Android game apps and found testing a small subset of popular devices covered most users. The third linked bugs detected by FindBugs to ratings, finding low-rated apps had more bad practice and internationalization warnings. The papers provided insights to help developers prioritize quality assurance efforts.
This document discusses social media monitoring and provides examples of how leading companies are using it. It outlines the types of social media that can be monitored, including blogs, forums, video/image sharing sites and social networks. Case studies are presented on how Kellogg's, Xbox and Dell have benefited from listening to social conversations. The document also covers topics like measuring impact, managing crises, identifying influencers and crowdsourcing. It emphasizes understanding customer needs across social media and predicting how social research will become more important over time.
1. The document is a lab report submitted by 6 students from Green University of Bangladesh for their Software Engineering Lab course. It details an experiment on software testing, including both automated and manual testing.
2. The report describes conducting various types of manual tests on an internet banking application, including unit, integration, and acceptance tests. Test cases were developed to check functionality like funds transfer.
3. The team members' responsibilities for the project and lab work are evaluated. Most members contributed fully but one was absent and did not contribute.
In this blog, we'll explore the importance of effectively assessing the work of developers who work remotely. When you hire developers to work remotely, it's crucial to have a system in place to evaluate their performance. Imagine you're a virtual development team manager, and you need to ensure everyone is doing their best work.
For more information visit our blog https://hire-remote-developer.blogspot.com/2023/05/how-to-measure-performance-of-remote.html
The document provides an overview of JUMP (Scalable, Successful Approach to Software Project Management). It discusses key aspects of the JUMP methodology including its iterative process, roles, phases (inception, elaboration, construction, transition), reviews, artifacts, tools, best practices, and metrics for measuring success. The goal of JUMP is to achieve project commitment and consensus through formal reviews at key milestones to align projects with organizational directives.
The document discusses key aspects of software development. It is divided into two major categories: construction activities like requirement gathering, design, coding and testing, and management activities like planning, configuration management and quality assurance. The software engineering framework is based on quality focus, defined processes, methods and tools. The software development loop involves problem definition, technical development, solution integration and achieving status quo. There are four phases: vision, definition, development and important maintenance phase.
IRJET- Product Aspect Ranking and its ApplicationIRJET Journal
The document presents a framework for product aspect ranking using consumer reviews from online sources. It aims to identify important aspects of products by extracting aspects from reviews, classifying the sentiment on each aspect, and ranking aspects based on frequency and influence on overall consumer sentiment. The framework includes data preprocessing of reviews, aspect identification by extracting frequent nouns, sentiment classification of reviews as positive, negative or neutral, and a probabilistic ranking algorithm to determine important aspects. It is proposed that identifying and ranking important product aspects can help consumers make purchase decisions and help companies improve products. The framework is implemented and evaluated on consumer reviews from various sources and products.
The document discusses different software process models. It describes the waterfall model, which involves sequential phases of requirement analysis, design, implementation, testing, and maintenance. The waterfall model suggests a systematic approach but real projects rarely follow sequential phases and instead involve overlap and feedback between phases. The document also briefly describes the build-and-fix model, which develops software without specifications or design and relies on repeated modifications until requirements are met.
"How to acquire users with 0 marketing budget?" by AppFollow & WelltoryAppFollow
Session from App Promotion Summit London.
Find the recording here https://appfollow.io/blog/appfollow-and-welltory-сo-session-at-app-promotion-summit-london-2021
What to know about media buying and advertising when entering new marketsAppFollow
Presentation from the webinar "Entering new markets: strategy, pitfalls, and tips" hosted together with Social Peta.
Watch the video here https://appfollow.io/webinar/webinar-entering-new-markets-strategy-pitfalls-and-tips
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The document discusses how to use App Review Management to support mobile app growth. It notes that responding to reviews can increase customer satisfaction and retention, improve the product, and save time and money. It provides an overview of a mobile app's ratings and reviews and recommends automating responses to repetitive reviews, addressing unanswered reviews, and integrating helpdesk tools to streamline support and increase productivity. The goal is to increase organic growth, in-app transactions, and average lifetime customer value through higher ratings and improved customer experience.
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The document analyzes and compares the online presence of a client and its competitors across various digital platforms. It finds that the client has a low global traffic rank and sites linking to its website. On social media, the client does not have an official Twitter, blog or recent Facebook posts. Sentiment of online mentions of the client are mostly positive or neutral. Videos of the client have a low average rating. The document recommends improving the client's online presence on blogs, Twitter and Facebook to better compete against competitors who perform better on some of these metrics.
The document discusses the process for closing projects, including administrative closure, performance evaluations, and project audits. It outlines the key activities for project closure like assigning closure tasks and monitoring implementation. The project audit process is also summarized, including collecting data from the project team, organization, and stakeholders to identify lessons learned and areas for improvement on future projects.
How to reply to app reviews with Freshdesk and AppFollowAppFollow
The document discusses four strategies for working with app reviews: 1) Reply to all reviews, which is best for new apps or those getting 10-20 reviews per week. 2) Reply only to popular and featured reviews, which works for apps getting over 50 reviews per week with under 10% negative reviews. 3) Reply only to negative reviews, for apps over 50 reviews per week with over 10-15% negative reviews. 4) Automate replies to reviews, which works for established companies using templates and assigning reviews. The document emphasizes not ignoring any reviews, letting users know when problems are fixed, and monitoring for spam.
This document discusses strategies for user acquisition through organic and paid channels. It begins by covering organic user acquisition techniques like keyword research, creating appealing app store metadata, and leveraging user reviews. It then covers paid user acquisition channels like Facebook ads, Google Ads, and mobile ad networks. Key recommendations include choosing keywords strategically, split testing app assets, building communities on social media, and attributing the relationship between paid and organic installs for better ROI. The document provides checklists and examples to help optimize different acquisition tactics.
Intro to Web Analytics - www.Cooperate.NYC - Cohort 3, Summer 2015: Day 2emcubedanalytics
The document provides an agenda and materials for a 3-day web analytics training. Day 1 covers introductions and key concepts. Day 2 focuses on gathering data through segmentation and external tools, and includes exercises to practice these skills. Day 3 is about applying insights through reports and user profiles. Links are provided to presentations, guides and workbooks for each day's session.
Studying User-Developer Interactions Through the Distribution and Reviewing M...SAIL_QU
This document discusses studying user-developer interactions through the distribution and reviewing mechanisms of the Google Play Store. It analyzes emergency updates made by developers to fix issues, the dialogue between users and developers through reviews and responses, and how the reviewing mechanism can help identify good and bad updates. The study found that responding to reviews is six times more likely to increase an app's rating, with 84% of rating increases going to four or five stars. Three common patterns of developer responses were identified: responding to negative or long reviews, only negative reviews, and reviews shortly after an update.
On the Link Between Mobile App Quality and User ReviewsSAIL_QU
The document summarizes three papers by the author on improving mobile app quality. The first paper analyzed user reviews to find the most common complaints were functional errors, missing features, and apps crashing. The second studied Android game apps and found testing a small subset of popular devices covered most users. The third linked bugs detected by FindBugs to ratings, finding low-rated apps had more bad practice and internationalization warnings. The papers provided insights to help developers prioritize quality assurance efforts.
This document discusses social media monitoring and provides examples of how leading companies are using it. It outlines the types of social media that can be monitored, including blogs, forums, video/image sharing sites and social networks. Case studies are presented on how Kellogg's, Xbox and Dell have benefited from listening to social conversations. The document also covers topics like measuring impact, managing crises, identifying influencers and crowdsourcing. It emphasizes understanding customer needs across social media and predicting how social research will become more important over time.
1. The document is a lab report submitted by 6 students from Green University of Bangladesh for their Software Engineering Lab course. It details an experiment on software testing, including both automated and manual testing.
2. The report describes conducting various types of manual tests on an internet banking application, including unit, integration, and acceptance tests. Test cases were developed to check functionality like funds transfer.
3. The team members' responsibilities for the project and lab work are evaluated. Most members contributed fully but one was absent and did not contribute.
In this blog, we'll explore the importance of effectively assessing the work of developers who work remotely. When you hire developers to work remotely, it's crucial to have a system in place to evaluate their performance. Imagine you're a virtual development team manager, and you need to ensure everyone is doing their best work.
For more information visit our blog https://hire-remote-developer.blogspot.com/2023/05/how-to-measure-performance-of-remote.html
The document provides an overview of JUMP (Scalable, Successful Approach to Software Project Management). It discusses key aspects of the JUMP methodology including its iterative process, roles, phases (inception, elaboration, construction, transition), reviews, artifacts, tools, best practices, and metrics for measuring success. The goal of JUMP is to achieve project commitment and consensus through formal reviews at key milestones to align projects with organizational directives.
The document discusses key aspects of software development. It is divided into two major categories: construction activities like requirement gathering, design, coding and testing, and management activities like planning, configuration management and quality assurance. The software engineering framework is based on quality focus, defined processes, methods and tools. The software development loop involves problem definition, technical development, solution integration and achieving status quo. There are four phases: vision, definition, development and important maintenance phase.
IRJET- Product Aspect Ranking and its ApplicationIRJET Journal
The document presents a framework for product aspect ranking using consumer reviews from online sources. It aims to identify important aspects of products by extracting aspects from reviews, classifying the sentiment on each aspect, and ranking aspects based on frequency and influence on overall consumer sentiment. The framework includes data preprocessing of reviews, aspect identification by extracting frequent nouns, sentiment classification of reviews as positive, negative or neutral, and a probabilistic ranking algorithm to determine important aspects. It is proposed that identifying and ranking important product aspects can help consumers make purchase decisions and help companies improve products. The framework is implemented and evaluated on consumer reviews from various sources and products.
The document discusses different software process models. It describes the waterfall model, which involves sequential phases of requirement analysis, design, implementation, testing, and maintenance. The waterfall model suggests a systematic approach but real projects rarely follow sequential phases and instead involve overlap and feedback between phases. The document also briefly describes the build-and-fix model, which develops software without specifications or design and relies on repeated modifications until requirements are met.
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"How to acquire users with 0 marketing budget?" by AppFollow & WelltoryAppFollow
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Watch the video here https://appfollow.io/webinar/webinar-entering-new-markets-strategy-pitfalls-and-tips
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Watch the video here https://appfollow.io/webinar/webinar-entering-new-markets-strategy-pitfalls-and-tips
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AppFollow is a marketing automation platform with four main features:
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2) Customer support tools for managing reviews and replies across integrations like Slack, Zendek, Intercom and Helpshift.
3) ASO tools for keyword suggestions, tracking keywords and a Google Sheets add-on.
4) Monitoring tools for tracking competitors, timelines and via an API.
The platform currently has 11k accounts and 13k users, with 30% located in Russia.
This document discusses changes and optimizations needed for App Store Optimization (ASO) in iOS 11. The key points covered are:
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3. Developer pages and In-App Purchases will now appear in search results.
4. Description, promotional text, and rating history can be changed when submitting app updates. Replies can also now be provided for reviews.
5. ASO should be optimized for the app name, subtitle, keywords and In-App Purchases. Testing different screenshots and video orientations can also help
AppFollow.io is a competitive analysis tool that automatically tracks 3 million competitor apps and provides app collections, insights and visibility tools to compare apps. It offers features like app collections, a compare tool, community management and a visibility tool starting at 30 euros per month. The company has over 100 paid clients, is seeking investors to expand globally and plans to enter new markets and find strategic investors after launching its MVP and growing its paid client base.
This document discusses AppFollow.io, a mobile app analytics platform that allows users to track competitor apps, collect data reports, and gain insights. It notes that constantly analyzing competitor data across app stores is time-consuming. AppFollow.io's platform aims to address this by allowing users to create app collections, track metrics like ranks and reviews, and share competitive analyses. The business model involves subscription plans starting at 1500 rubles per month. Since launching in 2014, AppFollow.io has grown to over 170 paying subscribers and is seeking a $100,000 investment to further develop the platform.
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Visit:- https://www.1solutions.biz/link-building-packages/
If you’re at all interested in digital
marketing and in making a name for
your brand online, then it is crucial that
you understand how to properly make
use of content marketing. Content
marketing is currently one of the
biggest trends in digital marketing as a
whole and is an area that many website owners and brands are investing in
heavily right now thanks to the impressive returns that they are seeing.
This document was submitted as part of interview process for Content Strategist position at Viapulsa, an Indonesian tech company which offers service to convert/transfer mobile credits into bank account.
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Top 10 AI Trends to Watch in 2024
Trend 1: Agentic AI
Overview of Agentic AI
Agentic AI represents a fundamental shift in artificial intelligence. These AI systems are designed to comprehend complex workflows and pursue difficult objectives autonomously, with minimal human assistance. Essentially, agentic AI functions similarly to human employees, understanding intricate contexts and instructions in normal language, defining goals, deducing subtasks, and adapting actions to changing circumstances.
Impact of Agentic AI
Agentic AI has the potential to drastically alter organizational roles, procedures, and relationships. AI assistants with advanced thinking and planning capabilities can perform tasks previously managed by humans. This shift enhances productivity by fully automating complex processes, freeing workers from repetitive tasks to focus on more critical activities. The ability to adapt quickly to changing circumstances ensures continuous operational improvements.
Examples and Use Cases of Agentic AI
Autonomous Vehicles: Self-driving cars use agentic AI to navigate roads, interpret traffic signals, and make real-time decisions to ensure passenger safety.
Smart Home Devices: AI-powered home assistants, like smart thermostats and security systems, operate autonomously to optimize energy usage and enhance security.
Customer Service Bots: Advanced chatbots handle complex customer queries, provide solutions, and escalate issues to human agents when necessary.
Trend 2: Open Source AI
Overview of Open Source AI
Open-source AI involves freely available source code, encouraging developers to collaborate, use, adapt, and share AI technology. This openness fosters innovation and speeds up the development of practical AI solutions across various sectors, including healthcare, finance, and education.
Impact of Open Source AI
The collaborative nature of open-source AI promotes transparency and facilitates continuous improvement, leading to feature-rich, reliable, and modular solutions. These platforms enable the creation of applications such as real-time fraud detection, medical image analysis, personalized recommendations, and customized learning experiences.
Examples and Use Cases of Open Source AI
TensorFlow: An open-source machine learning framework by Google, widely used for building and deploying AI models.
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Compitive analysis on Noise pvt Ltd.pptxSauravDey45
ChatGPT
Competitive Analysis: Noise Smartwatch
Overview
Noise is an Indian electronics brand that primarily manufactures smartwatches, wireless earphones, and other electronic accessories. Noise smartwatches have gained significant popularity due to their affordable pricing, feature-rich offerings, and stylish designs. The competitive landscape for Noise smartwatches includes both local and international brands that cater to various market segments. This analysis will focus on key competitors, market positioning, product features, pricing strategies, and consumer preferences.
Key Competitors
Amazfit (Huami):
Strengths: Known for excellent battery life, robust fitness tracking, and premium build quality.
Weaknesses: Slightly higher price points compared to Noise.
Products: Amazfit Bip U, Amazfit GTS series.
Realme:
Strengths: Strong brand presence, integration with Realme smartphones, and aggressive pricing.
Weaknesses: Limited variety in smartwatch models.
Products: Realme Watch, Realme Watch S.
Boat:
Strengths: Competitive pricing, appealing designs, and extensive marketing.
Weaknesses: Relatively new to the smartwatch market, which may affect consumer trust.
Products: Boat Storm, Boat Flash.
Samsung:
Strengths: High brand credibility, advanced features, and premium design.
Weaknesses: Higher price points make it less accessible to budget-conscious consumers.
Products: Galaxy Watch Active 2, Galaxy Watch 3.
Xiaomi:
Strengths: Strong ecosystem integration, affordable pricing, and extensive features.
Weaknesses: Less focus on premium design compared to some competitors.
Products: Mi Band series, Mi Watch.
Market Positioning
Noise positions itself as an affordable yet feature-rich alternative in the smartwatch market. Its target demographic includes budget-conscious consumers and fitness enthusiasts who seek value for money without compromising on essential features like fitness tracking, notifications, and battery life. Noise leverages its strong online presence and partnerships with e-commerce platforms to reach its audience effectively.
Product Features Comparison
Noise Smartwatches:
Key Features: Heart rate monitoring, SpO2 tracking, multiple sports modes, customizable watch faces, notifications, and music control.
Battery Life: Typically lasts 7-10 days on a single charge.
Build Quality: Focus on lightweight and comfortable designs with water-resistant capabilities.
Amazfit Smartwatches:
Key Features: Advanced fitness tracking, GPS, AMOLED displays, and long battery life (up to 20 days).
Battery Life: 10-20 days depending on the model.
Build Quality: Premium materials and durable designs.
Realme Smartwatches:
Key Features: Basic fitness tracking, SpO2 monitoring, and notifications.
Battery Life: Up to 9 days.
Build Quality: Sleek designs but slightly limited in variety.
Boat Smartwatches:
Key Features: Heart rate monitoring, multiple sports modes, and customizable watch faces.
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We’ve entered a new era in digital. Search and AI are colliding, in more ways than one. And they all have major implications for marketers.
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4. Part 1 Intro
1. Monitor average rating
types of avg. ratings, overall vs. country, benchmarks
2. Analyze user reviews
types of reviews, key metrics: sentiment score, avg. ratings
3. Reply to reviews
all vs. important reviews, integrations with help desks
4
What is Reputation Management?
13. 13
Part 2 Reputation Management
Average rating: Overall vs. Country
Avg. rating is specific to
each territory. You can
reset it when you release a
new version of your app.
Users see a unified
overall rating. Google
switched a lifetime rating
to a new rating system
in August 2019.
22. 22
3. Replying to reviews is important
for UA & Customer Support
Part 2 Reputation Management
23. Every day, developers respond to more than
100,000 reviews in the Play Console, and when
they do, we’ve seen that users update their
rating by +0.7 stars on average
Google, May 2019
Part 2 Reputation Management
23
27. 1. Featured/Helpful reviews
2. Rating became worse, e. g. 4* → 1*
3. Rating became better, e. g. 1* → 5*
4. Long reviews
5. Updated reviews with the same rating
5 types of reviews to pay attention to:
2. Reputation Management
27
32. 32
Recap:
1. Take care about app reputation
2. Track average rating, min: 4.0, target: 4.5
3. Reply quickly to important reviews
4. Dig into reviews to find insights
5. Constantly improve your product
Part 3 Summary
33. 33
Read more:
Part 3 Summary
1. How to get featured in App Store
2. How to deal with reviews to increase CR
3. Why and how to respond to app reviews
4. Challenges when working with reviews
5. How to increase user loyalty with review responses
6. How to level up your Zendesk support
7. How to report a concern in Google Play and App Store