Search Analyst Sasikumar Talks

What is Sentiment Analysis? Search Analyst Sasikumar Talks (Tamil)

#sentimentanalysis #marketanalysis #seo #searchanalystsasikumartalks

Sentiment analysis is nothing but analyzing the marketing data which eventually helps us to understand how the customers or the consumers feel about the organization or the business. Sentimentally how the customers are connected to the business can be analyzed and it can be called sentiment analysis.

Whether the customers feel about the business or the product positively or negatively or neutrally should be analyzed and it is considered an important factor when it comes to business and customer relationships.

When you understand the customer's emotional connection with the product or the services, the business can fine-tune the business approach toward success.

Sentiment analysis is a kind of natural language processing and mostly it analyses the textual data. While doing sentimental analysis, the marketing data might be a review, social media, online, comments, or news data, which ultimately helps business owners better understand their customers. I personally feel that sentiment analysis will directly or indirectly help in online reputation.

Our 10 Weakness well Monetized. Search Analyst Sasikumar talks

We human beings have some weaknesses and some businesses and marketers use our weaknesses and monetize our weaknesses.

Whenever we see celebrities and cricketers in the TV advertisement and the product they endorse we tend to believe them, we trust them, but these stars are actually advertising but not giving their personal opinion. they are acting in the advertisement just like how they act in the movies etc. So don't believe them and buy the products they endorse. Apply your own discretion.

Some people believe that foreigners and companies involved in foreign investment are good companies but that is not correct in all cases.

Some people believe in the word "free". sometimes the word "free" is the most dangerous word in the marketing world. Don't believe in freebies nothing will come free until you do the work for it and until you pay for it.

When I watch a video I saw that one person sold brass as iridium but that is not actually Iridium. in this case, people need general awareness. And some companies and marketers feel proud when we spend and encourage our spending to sell their products and goods.

Some businesses initially offer products with less or no price but slowly introduce and inject heavy prices that we won't recognize soon.

Some financial Agencies say that they will give good and mind-blowing returns if we invest in their company but all these things should be done after personal analysis and research on the company while we invest. People tend to invest just because their neighbors invest, just because their friends invest, but that is not the correct way.

In so many ways business use people's weakness and convert them into money example credit card gives an addiction for people to spend money that they really don't own but credit card companies later put heavy charges for late payment and so many other charges and collapse people's life. so dear people mind your weakness and be aware of these companies and marketers who want to monetize your weakness.

Lead Generation Tamil. Search Analyst Sasikumar Talks

Content marketing: Creating valuable and informative content can attract potential customers to your website and help generate leads. This could include blog posts, whitepapers, e-books, webinars, and more.

Search engine optimization (SEO): Optimizing your website and content for search engines can help increase your visibility and drive more traffic to your site, which can lead to more leads.

Pay-per-click (PPC) advertising: Running PPC campaigns on platforms like Google Ads and Bing Ads can drive targeted traffic to your website, increasing your chances of generating leads.

Social media marketing: Building a presence on social media platforms like Facebook, Instagram, and LinkedIn can help you connect with potential customers and generate leads.

Email marketing: Sending targeted and relevant email campaigns to a list of opted-in subscribers can help generate leads and build relationships with potential customers.

Affiliate marketing: Partnering with other businesses or individuals to promote your products or services can help generate leads and increase your reach.

Referral marketing: Encouraging current customers to refer their friends and family can be a powerful way to generate leads and acquire new customers.

Inbound marketing: Creating valuable content that attracts potential customers to your website and then guiding them through the sales funnel, can be a great way to generate leads.

Influencer marketing: Working with social media influencers to promote your products or services can help increase your visibility and generate leads.

Event marketing: Hosting or sponsoring events can help generate leads by providing an opportunity to connect with potential customers in person.

These are some of the most popular lead generation techniques, but there are many other methods that can also be effective. It's important to identify which techniques will work best for your business and target audience, and to regularly review and optimize your lead generation efforts.

A/B testing in Marketing. (Tamil) Search Analyst Sasikumar Talks

A/B testing, also known as split testing, is a method used in digital marketing to compare two versions of a marketing campaign, website, or app to determine which version performs better. The goal of A/B testing is to improve the performance of a marketing campaign by making data-driven decisions.

A/B testing typically involves creating two versions of a campaign, website, or app, with a single variable changed between the two versions. For example, if you're testing a website, one version may have a different headline, while the other version has the same headline but a different call-to-action button.

The two versions are then randomly shown to a sample of users, and the performance of each version is measured using metrics such as click-through rate, conversion rate, or bounce rate. The version that performs better is then chosen as the winner and used for the entire audience.

A/B testing can be used for a variety of marketing campaigns such as email marketing, social media marketing, and online advertising. It allows marketers to make data-driven decisions on what works and what doesn't work, which can lead to an increase in conversions and revenue.

It's important to note that A/B testing should only be used to test a single variable at a time, so you can understand the specific impact of that change.

Leadership skills in Tamil. Search Analyst Sasikumar Talks

Communication: The ability to clearly and effectively communicate with team members, stakeholders, and other groups is crucial for successful leadership.

Vision: A strong leader should have a clear vision for the future of the organization and be able to inspire and guide others to work towards that vision.

Decision-making: Leaders must be able to make difficult decisions in a timely and effective manner.

Problem-solving: Leaders must be able to identify and solve problems quickly and efficiently.

Strategic thinking: The ability to think strategically and plan for the long-term success of the organization is essential for leadership.

Emotional intelligence: Leaders must be able to understand and manage their own emotions, as well as the emotions of others.

Adaptability: The ability to adapt to changing circumstances and think on your feet is important for leadership.

Delegation: Leaders must be able to delegate tasks effectively and trust their team members to complete them.

Motivation: Leaders must be able to motivate and inspire their team members to reach their full potential.

Integrity: Strong leaders must be honest, transparent and act with integrity in all their decision making, setting an example for the rest of the team.

Omniture, Adobe Analytics and Google Analytics 360. (Tamil) Search Analyst Sasikumar Talks

Omniture: Omniture, now known as Adobe Analytics, is a web analytics tool developed by Adobe. It provides a wide range of features for website analysis and optimization, including data collection, analysis, and reporting. Omniture can track website traffic, user behavior, conversion rates, and other key performance indicators (KPIs). It also allows businesses to segment their audience and create customized reports. Omniture is generally considered to be a more advanced analytics tool and is often used by larger organizations or those with a high level of technical expertise.

Adobe Analytics: Adobe Analytics is a web analytics platform that helps businesses understand the customer journey across multiple devices and channels. It provides robust data collection, analysis, and reporting capabilities, enabling businesses to gain insights into customer behavior, optimize their digital experiences, and measure marketing ROI. Adobe Analytics allows businesses to track and report on a wide range of metrics, including website traffic, conversion rates, and customer engagement.

Google Analytics 360: Google Analytics 360 is a premium version of Google Analytics, which provides additional features and capabilities for businesses that need more advanced analytics capabilities. It includes additional data collection, analysis, and reporting tools, including advanced segments, custom funnels, and data-driven attribution. Additionally, it offers integration with other Google products such as Google Ads and BigQuery. It's often used by larger enterprises and businesses that require a high level of data analysis and reporting capabilities.

In summary, Omniture and Adobe Analytics are both advanced web analytics tools that provide robust data collection, analysis, and reporting capabilities. Google Analytics 360 is a premium version of Google Analytics, which provides additional features and capabilities for businesses that need more advanced analytics capabilities. All three tools are widely used by businesses of different sizes and industries to gain insights into customer behavior and improve their digital marketing efforts.

Mobile Marketing. (Tamil) Search Analyst Sasikumar Talks

Mobile marketing is a form of digital marketing that specifically targets mobile devices, such as smartphones and tablets. It uses a variety of techniques to reach and engage customers via mobile devices, including:

SMS Marketing: This involves sending text messages to customers with offers, promotions, or other information.

Mobile App Marketing: This involves promoting mobile apps through various channels such as app store optimization, in-app advertising, and push notifications.

Mobile Website Optimization: This involves optimizing a website for mobile devices, making it easy for users to navigate and interact with on a small screen.

QR Codes: This involves using QR codes to drive users to a specific website or landing page.

Location-Based Marketing: This involves using a customer's location to deliver targeted ads or offers, such as through GPS or beacons.

Social Media Marketing: This involves promoting products or services on social media platforms like Facebook, Instagram, Twitter, and TikTok, specifically on mobile devices.

Mobile Video Marketing: This involves creating and distributing video content on mobile devices, such as through YouTube or TikTok.

In-game Advertising: This involves placing ads within mobile games, reaching users who are actively engaged in the game.

Proximity Marketing: This involves reaching customers with targeted messages based on their proximity to a specific location, such as a store or event.

Mobile marketing allows businesses to reach customers when they're on the go, and it's becoming increasingly important as more and more people access the internet through mobile devices. However, it's important to ensure that mobile marketing campaigns are relevant, personal and comply with the mobile marketing guidelines of the country where the campaign is being run. Additionally, businesses need to consider the mobile user experience and make sure that the content is easily readable and actionable on a small screen.

Chennai Blog

Artificial Intelligence. Machine Learning, Market Automation. Search Analyst Sasikumar Talks (Tamil)

First of all, I want to convey here that artificial intelligence and machine learning are already used by many tech companies for their marketing automation works.

Intelligence in human beings and animals can be called Natural intelligence and the intelligence that we feed to machines or algorithms is called artificial intelligence. Learning that we do can be called human learning whereas learning by machines and when we make the Machines learn things and make informed decisions is called as machine learning.

Let me give a few steps of how we can implement this Artificial Intelligence and machine learning and market automation in our marketing data. You have the product or services and you are marketing it and definitely, you will have the marketing data either by doing digital marketing or other marketing techniques. Now process these marketing data using algorithms for segmenting the data for understanding the data, for creating patterns maybe we can call them data patterns and then find the relationship among the data and when we do all the data processing or data mining using machine learning or artificial intelligence then this will help in market automation.

Already big take companies like Google, Facebook, Amazon, YouTube, Instagram, Twitter, and many tech companies use machine learning and artificial intelligence.

These technology companies using their AI Artificial Intelligence and machine learning capability chase the users with advertisements of their interest, they show videos, and reels, shorts based on user behavior. If you take Google Maps or voice search via voice typing, everywhere you can see artificial intelligence and machine learning among these tech giants and it is time for the marketing companies to leverage this technology.

Microsoft Clarity. For Webmaster and SEO. (Tamil) Search Analyst Sasikumar Talks.

Microsoft Clarity is a free website analytics tool offered by Microsoft. It is designed to help website owners and marketers understand how users interact with their websites and identify areas for improvement.

Clarity provides a range of features such as:

Session recordings: Clarity can record user sessions on your website, providing a video replay of what users see and do on your site.

Heatmaps: Clarity can generate heatmaps to show where users are clicking, scrolling, and spending the most time on your site.

Funnel analysis: Clarity can help you identify the steps in a conversion funnel and see where users are dropping off.

Form analysis: Clarity can track form submissions and analyze how users interact with forms on your site.

User segments: Clarity allows you to segment users by different criteria such as referral source, location, device, and more.

Custom events: Clarity allows you to track custom events such as button clicks, form submissions, and more.

Integration with other tools: Clarity is integrated with other Microsoft tools such as Microsoft Dynamics and Azure.

Clarity's interface is user-friendly and easy to navigate, it's easy to install by adding a small script to your website and it provides a wealth of data to help you understand user behavior and improve your website's user experience. Clarity is available to use for free, with a limit of 2 million page views per month and additional features available with a paid subscription.

Data-driven Marketing. (Tamil) Search Analyst Sasikumar Talks

Data-driven marketing is a strategy that uses data and analytics to inform and guide marketing decisions. It involves collecting and analyzing data on consumer behavior, preferences, and demographics to better understand the target audience and improve the effectiveness of marketing campaigns.

The main elements of data-driven marketing include:

Data collection: This includes collecting data from various sources such as website analytics, social media, customer feedback, and market research.

Data analysis: This includes analyzing the data to identify patterns, trends, and insights that can inform marketing decisions.

Data-driven decision making: This includes using the insights gained from data analysis to make informed decisions about marketing strategies, tactics, and campaigns.

Continuous monitoring and testing: This includes using data to continually monitor and test the effectiveness of marketing campaigns and make adjustments as needed.

Data-driven marketing can help businesses make more informed decisions about their marketing efforts, improve the effectiveness of their campaigns, and ultimately drive better results. By using data and analytics to understand consumer behavior and preferences, businesses can tailor their marketing efforts to better meet the needs of their target audience, optimize their campaigns for better results, and ultimately increase ROI.

It's important to note that data-driven marketing requires a combination of technological tools such as analytics software and the ability to analyze and interpret data by the marketing team. Additionally, it's important to ensure data is collected and used ethically and comply with data privacy regulations.