What Skillsets to learn in Digital Marketing to be job ready & be relevant by 2030?

September 15, 2022 by strategyworks

The Digital Marketing industry is growing very rapidly and it 2nd the most sought-after skillset globally.

We wanted to understand and help the learners worldwide focus on newer and upcoming areas of Digital Marketing, which can be added as an additional skill set to the current list of major areas like SEO, PPC, SMM, Email, and Analytics.

That will help the learners to be relevant for the industry till 2030 and will be ready to get into the web 5.0 stage

We connected with Digital Marketing professionals across the globe and got many interesting views.

Survey Report

We carried out a detailed survey and got responses from 31 CEOs, MDs, and heads of the department of Digital Marketing Agencies & companies across the world.

What Skillsets to learn in Digital Marketing image — Respondents interested in learning Digital Marketing Skillsets by 2030

As per the survey Content creation has been predicted as the first most popular Skillset, people would like to learn and be ready for the future.

Then, comes Data Analytics, Customer Experience, Metaverse, and Coding Knowledge as the other skill areas of great importance.

Content marketing is Still No1 skillset

Leszek, Head of Marketing at Passport Photo Online

Leszek says – Content Marketing skills are still no1 mentioned for the future of marketing. In fact, we’re expecting automatization to expand on more fields, and things that now are humans’ position may not be that way for long. What makes us stand out from machines is creativity and abstract thinking. That’s why creation and thinking outside the box may be crucial in the future. I suggest taking care of your imagination and thinking processes in advance. There are many exercises and courses to improve those skills.

To be a digital marketer, data analytics skill is very important

Christian Velitchkov, Co-Founder,Twiz LLC

Christian says,As part of becoming a digital marketer, data analytics becomes very important. It refers to the utilization of functional procedures and modern software to gather and process data collected from online interactions with potential customers. Markets will have to understand various data analytics functions like data cleansing, database management, etc. They will have to constantly update the database and get rid of unwanted data for making effective marketing decisions.

Digital marketing works on content. The content will pull the company’s target market toward the brand. The aim of a digital marketer is to create relevant high-quality content targeting its target audience and getting tier engagement. The marketer should create some evergreen content as part of the process, which will be relevant to the customers, even after a long period of time.

By 2030, the most important skill set in digital marketing will be SEO

Harrison Tanner Baron,CEO & Founder, Growth Generator

Harrison believes that, by 2030, the most important skill set in digital marketing will still be that you have to increase your SEO presence. This is because, if you don’t increase your SEO presence, then there is no way potential clients can see the marketing you create in the first place. And, if those clients don’t see that marketing, you won’t be successful.

You can spend all the money you want creating the best commercial you can but it won’t matter if no one can see it. Once you have a great SEO presence people can become attracted to your site. Then they will decide whether or not to use your services.

To stay relevant in Digital Marketing, you must think years in advance

Clay Kramer,Head of Product ,SEORadar

To stay relevant in Digital Marketing, you must think years in advance. The growing demand for developers and coders will translate into a basic need for this kind of talent. The same way everyone is expected to know Google Docs, it’s likely to start seeing “HTML or Python knowledge” as requirements in LinkedIn open positions for SEO or SEM specialists. Although no-code is here to stay, there are many reasons to believe that knowing how to code automatically gives you an advantage over other candidates. Especially in SEO, where code plays a vital role.

One thing that stays constant is the Customer Experience (CX)

Gosia Hytry, Head of Content at spacelift

As marketers are acquiring useful SEO, PPC, SMM, data/analytics skills, one thing that stays constant is the Customer Experience (CX). After all, the target is to provide the best and most attractive product/service to the customer.

Customer Experience (CX) has cemented its standing as the key brand differentiator over price or product. Although many understand the importance of CX, some have gaps in knowledge on how to adopt this strategy in their activities. As we know, CX is the customer’s overall perception of your brand: from the first point of awareness to the repeat purchase of your product/service.

Judging by this, it would be wise if future marketers start learning how to get into the shoes of the people they’re trying to sell to. Surprisingly enough, CX doesn’t require too many hard skills; even though it helps, CX is all about emotional intelligence. The ability to share the values and behaviors the target audience has is the key to successful brand loyalty, i.e., creating a base of long-term customers that will nurture the future of the company.

Lot of changes will happen over the next 10 years

Madilyn Hill, CEO at TruePersonFinder

The world is changing and so are the skills for digital marketing. A lot of changes will happen over the next 10 years, with more developments in the tech industry than we have seen before. Here are some of the digital marketing skills that you should be learning to stay relevant by 2030.

Multivariate testing

This step will determine the strengths of your website compared to the competitors and site’s performance. It gives you the opportunity to analyze which areas of your page are doing well and which ones can be improved. It also gives you a chance to see how different changes affect how visitors use your site.

Map your customers’ browsing history

It’s not just about how visitors find you, but how they actually interact with your site. This type of data is known as session data. It can help you determine in which areas of the website customers struggle and want to make changes. You can also use this data to measure the value of marketing efforts.

Mobile-first design and development strategy

As of this writing, Google searches from mobile devices account for more than 50% of all searches. Mobile-first development is the practice of designing websites with the mobile visitor in mind first and foremost. Things like easy to read text, buttons and links in logical locations, and accessible content that scrolls horizontally instead of vertically making a huge impact on the visitor experience.

Machine learning

Machine learning has become a powerful tool that helps large social networks and tech companies understand users’ tendencies better. Machine learning is used to sort search results or filter out spam or offensive content on social media sites. It is also used for things like matching people with similar interests for online dating services.

Focus on creating engaging video content

Philip Pasma, President of Asterisk Marketing Inc

Artificial Intelligence & Video Production are the main Skills to acquire

AI can aid in digital marketing by providing information regarding customer profiling, consumer behavior analytics, content recommendation, and much more. To stay updated with the demand of web 5.0, it is crucial to develop skills in AI.

Video Production

With the overwhelming popularity of video content these days, the demand for advanced skills in video production and editing has leveled up. Video platforms like Tiktok, Youtube, and others are leading this revolution from the front. Videos attract people quite easily. From big giant companies to newbie small businesses – all are focusing on creating engaging video content that affects and engages their audience towards the brand. Eventually, the demand for video production and editing skills has gone up.

Metaverse Marketing

Ryan Yount, founder of LuckLuckGo

Metaverse marketing is the next big frontier in the field. Already, the Metaverse and other components of it such as blockchain, crypto, and NFTs are set to take center stage as the world settles into web 3.0.

By starting your marketing journey from this point of Metaverse marketing, you help set yourself up for success even as the internet shifts to Web 4.0 and 5.0 by 2030.

Digital marketing will build upon all these developments, and those who dedicate time to learning dynamic skills needed to make a product stand out on web 3.0, 4.0, and 5.0 will be the marketers of the future.

Blockchain is impacting the Marketing industry

Kimberly, CEO, FindPeopleFirst

Kimberly says, Understanding how Blockchain is impacting the Marketing industry: Blockchain and digital marketing are an ideal match for one another.

Blockchain’s purpose is to create a public ledger that cannot be changed. It does this by having a network of computers constantly verify blocks of data to ensure that the information is legitimate. Once a block of data is verified, it cannot then be modified.

The annoying characteristic of traditional digital ads can easily be avoided by using blockchain technology. It will give an unmistakable channel of participation between organizations, consumers/users, and marketers.

After looking at the information shared by leading industry experts, the conclusion is that the future requires us to focus on Content creation. All major social media platforms are also encouraging content creators by giving them exclusive space on their platforms. Content Creation will certainly move forward with metaverse and blockchain technology.

It’s high time we should focus on learning these additional skill sets to be relevant for another decade.

Best AI tools for digital marketing

May 12, 2022December 13, 2021 by strategyworks

Artificial Intelligence Machine Learning (AIML) in Digital and Social Media Marketing

What is Artificial Intelligence (AI)?

Artificial intelligence (AI) refers to the imitation of human intelligence in machines designed to think like humans and imitate their actions. The term can also be applied to any machine that displays features that resonate with the human mind such as learning and solving problems.

What is Artificial Intelligence (AI) in digital marketing?

Artificial Intelligence (AI) in marketing uses automated decision-making technology based on data collection, data analysis, and additional audience views or economic trends that may affect marketing efforts.

Artificial Intelligence (AI) is often used for marketing efforts when speed is important. Artificial Intelligence (AI) tools use customer information and profiles to learn how to communicate effectively with customers, and then deliver timely messages without the intervention of members of the marketing team, ensuring perfect efficiency.

For many of today’s markets, Artificial Intelligence (AI) is used to grow marketing teams or to perform many strategic tasks that require minimal human processing. Strategyworks is a having full fledged course in Digital Marketing with internship which includes the learning of some important tools like Google Ads, Facebook Ads which uses Artificial Intelligence and machine learning in Digital Marketing & social media marketing

Some use cases on how Artificial Intelligence (AI) is used in marketing?:

Data analysis
Natural language processing
Media buying
Automated decision making
Content generation
Real-time personalization

How to use Artificial Intelligence (AI) in digital marketing?

Artificial Intelligence (AI) is transforming many industries. From finance to technology, retail, hospitality everywhere. Artificial Intelligence (AI) changes the way brands do business. For digital marketers, it changes the way they connect products with their audience.

Computers and computer programs work as people with tasks such as voice recognition, visual acuity, translation and decision-making, which previously required human ingenuity. Now, artificial intelligence can accomplish those tasks independently.

Use cases of using Artificial Intelligence (AI) in Digital Marketing;

Use of ChatBots: Artificial Intelligence (AI) transforms customer-focused services for digital marketers by increasing efficiency and improving user experience. These chat bots can work 24 hours.

Personalised Content: Artificial Intelligence (AI) in digital advertising to customise the content a user sees while browsing a website. With the help of artificial intelligence, machines can track spending habits and record what you like.

Thereafter, Artificial Intelligence (AI) can use that information to market users of similar products that they may be interested in. This process will help to differentiate your audience domains and drive sales with customised content. Both of these examples show how Artificial Intelligence (AI) in digital marketing is transforming space by helping brands increase productivity and revenue by creating automated tasks that required human performance and ingenuity.

How is Artificial Intelligence (AI) used in advertising?

Companies that serve ads, such as large social media platforms, use Artificial Intelligence (AI) to monitor ad usage, marketing, tracking, and customer behaviour. These companies use Artificial Intelligence (AI) to further enhance the ads placed on their network.

Artificial Intelligence (AI) transforms the possibilities in the world of advertising at all levels, from ad creation to targeted audiences to buying ads.

Today Artificial Intelligence (AI) is used heavily in advertising, Using Artificial Intelligence (AI) tools to target and differentiate audiences intelligently, build ad art, differentiate testing, improve performance, and improve spend – automatically, in real time, and on a scale.

How does social media use Artificial Intelligence (AI) for advertising?

Rewrite and Test Ads: One of the great use of AI tool is that it automatically writes lines for email topics better than humans – and the same AI-powered functionality has now been adapted to automatically write Facebook ads and push notifications.
Identify and convert audiences: Artificial intelligence will not just write ads. It will also show you exactly which audience you should target – and how you can convince them to act according to your ad messages.
Get new audiences. AI tools apart from writing ad copy, it also helps in the process of gaining a new audience for your products and services — based entirely on what the program is learning from your advertising data.
Get more conversions for less. Adobe Advertising Cloud is an essential platform that integrates advertising data from digital and TV campaigns. As part of the platform, Adobe Sensei, the company’s AI product, offers “predictions on how to get the highest conversion rate at the lowest possible cost,” according to the company’s website.
Get more views on your ads. GumGum uses powerful computer-based AI technology to scan images, videos, and content across the web. After that, it uses the information from that analysis to help your brand-based ads where consumers are more likely to pay attention.
Improve Ad Budgets: Money empowers your advertising, but technology can help you make the best use of it. Today, artificial intelligence can add budgets in real time or near real-time, to all channels, faster and better than people.
Monetise media types. Lucy, an AI assistant from Equals 3, uses predictive and predictive models to show how well the news system will work. The tool then offers redistribution strategies to ensure that each dollar plays its role in your advertising.

What are the main applications of Artificial Intelligence (AI)?

Artificial intelligence today is not just a theory. In fact, it has many applications that work. A 2016 Gartner study shows that by 2020, at least 30% of companies worldwide will use AI in at least one segment of their marketing processes. Today businesses around the world are using artificial intelligence to make their process more efficient and profitable. We have reached out to some industry experts to share their views on the use of artificial intelligence. Here is the information we received:

Conversations: Artificial intelligence continues to be a hot topic in the technology space and expands its start in other areas such as health care, business and gaming. AI-sponsored discussions in businesses will also see an influx of people more relaxed about how AI can actually help businesses compared to, say, taking over their jobs. From an analytical perspective, AI can be embedded in social media to change how they receive and understand data.

Chatbots, in particular, are always present, delivering smart and flexible analytics for conversations on mobile devices using standard messaging tools and voice communication sites This greatly reduces the time to collect data for all business users, thus speeding up business speed and ease of use analysts. their time, preparing companies for the growing needs of future data.

eCommerce: Artificial Intelligence technology provides competitive limits to commerce businesses and is readily available to companies of any size or budget. Using machine learning, AI software automatically tags, edits and visually scans content by labeling image or video features.

AI enables consumers to find compatible products regardless of size, color, shape, or brand. AI viewing capabilities improve every year. By first detecting visual cues from uploaded images, the software can effectively assist the customer in finding the desired product. Many e-commerce marketers are already becoming more sophisticated with their AI capabilities, and is expected to grow in the future.

AI to Promote Workplace Communication: Artificial Intelligence will help businesses improve internal and external communication by enabling individual customisation for each professional, allowing for improved focus and increased productivity.
Human Resource Management: HR is likely to be one of the first business areas to benefit from AI for two simple reasons. Firstly there are tons of high-level data in HR, and secondly, HR is part of any very important company but feels the pressure of time.

If the aspects of the recruitment and HR work are automatic, HR employees may have the freedom to work directly with business or employees, using the personal time required by the HR department.

Artificial Intelligence will basically take out all the “worst” stuff for all HR employees (daily check-ups, time-consuming paperwork, and annoying data entry) as well as delivering powerful and insightful tools is a bonus to improving their performance. Automatic production of high-quality HR data and incredible AI benefits make it one of the first places to experience the fourth industrial revolution.

AI in health: In the coming year, and especially in the next five to ten years, artificial intelligence will have a huge impact on the healthcare industry and the way healthcare-related companies use AI.

AI presents opportunities to apply our data collection to patients and to innovate clinics to improve patient outcomes on a much larger scale. AI improves reliability, prediction, and compliance with patient quality and safety. AI, as used in software, is used as a decision-making tool, but it should not have free domination without human interaction and guidance. While it will not replace doctors and nurses, it can make them more efficient, efficient and happy at work as it removes the burden of understanding on our providers – which increases confidence and reduces stress and anxiety.

Internal Security Intelligence: In terms of cyber security, Artificial Intelligence is making great strides. Although AI is considered to be at the forefront of cyber security and can effectively address all issues, it is effective in protecting data. AI allows companies to identify user weaknesses or negative behaviour in business systems such as ERP or financial systems.
Artificial Intelligence in Logistics and Supply Chain: Combined with customer data and statistics, physical implants eliminate conflicts of customer experience. Artificial intelligence enables businesses to work on consumer information to drive improvements in operations.
Sports Betting Industry: In its article Sports Trading and AI: Gambling Insider, “As sports science analysis changes the way coaches, coaches, and clubs play their games, greater analysis of sports events helps opportunities for database operators to check potential event permits. each sport, increase the accuracy of the goal and thus make the next determination easier. ”

Human marketers cannot compete with artificial intelligence when it comes to analyzing large amounts of data. With AI we can perform analysis of the vast amount of sports analysis data available to increase our accuracy when it comes to predicting future results. This proves fruitful especially in today’s betting market, where large numbers of games and betting types are offered to a growing betting community.

Simplified AI Manufacturing & production: For many clients when it comes to AI or Machine Learning, magic occurs when a large amount of data can be transmitted in milliseconds from a machine and process the data for a variety of information. This provides a realistic understanding that can help these customers reduce unproductive downtime, predict failures or build a “gold standard” that can be branded on all production lines.
Casinos / Hotels / Combined Recreation: AI can help hotels / casinos find parts of customers they may not realise exist. Which customers want stay near the lake, those who need three papers in the morning before they can face the day. Armed with this kind of information, hotels can understand what is most important to their guests at each level, enabling them to anticipate the needs of their guests before guests also get to know them.

In addition, hotels can understand the key features of their highly profitable customers and be aware of the following important ones in case they sign up for an online hotel booking system. The use of deep neural networks and image filters can analyze and analyze images, which can allow hoteliers to monitor images that provide the highest level of booking conversion per channel. AI can also be used to calculate tourist dynamic collections to create liquid separation in real time.

Sales: Online shopping creates rich data traits in terms of personal preferences, spending habits and popular individual consumer channels. Feeding these crumbs of digital bread on the AI-engine helps bring the chosen shopping trip to a wider audience. Automatic bots can create a healthy, seamless customer service experience, talking to the customer about their purchase history and interests.

On the marketing side, AI could bring that extra dash of compatible program advertising that has been waiting all these years. On the buyer’s side, AI helps create visual ads for website visitors who want to see it, while on the responding side, “bots manage to pay and pay for this transaction, giving marketers more time to focus on the big picture. With AI, customer service forecasting and marketing can be just around the corner. .

What are the best Artificial Intelligence (AI) and Machine Learning (ML) tools for digital marketing?

Import.io : Import.io allows you to import data from any web page, even if the data you’re after is hidden behind login forms or other elements. You can then compile this data into spreadsheets, visualisations or machine learning algorithms. With this data on your side, you can do anything from competitor price research to analysing all of your customer reviews to pinpoint the most important areas for improvement.
X.ai: X.ai is a perfect example of how simple and effective artificial intelligence can be – a refreshing break from many platforms that try to do too much. With X you’re simply looking at an AI scheduler that genuinely makes arranging meetings and other appointments effortless.
Grammarly : Grammarly is another example of simple but effective AI – this time in the form of an intelligent proofreading tool. It’s not going to catch all of your writing errors but it’s an impressive piece of software and its integration with apps and browsers is incredible. It will flag up your typos as you write emails and blog posts in the browser and compile reports of your most common mistakes so you naturally become a better writer over time.
Uberflip: Now we’re venturing into a more complex collection of AI tools, starting with Uberflip – an advanced content personalization platform that helps you create unique experiences for each customer. Content personalisation remains one of the biggest challenges for brands and Uberflip makes it easier to execute at scale for enterprise brands with a large, diverse audience to work with.
Acrolinx: Before you can personalise content, you need to be able to create it and Acrolinx helps you create highly-effective content at scale. Acrolinx claims to be the only software platform that can “read” your content, thanks to its advanced artificial intelligence engine that assesses your content, grades it and guides you to creating better content.
Unmetric : Xia by Unmetric takes a different approach by helping you to analyse the content of other brands and discover new content ideas an opportunities. Xia will unlock the secrets of other brands’ content marketing success and point you in the direction of what kind of content should get similar results for your own business.
Cortex : Cortex also offers competitor content analysis but the focus here is on their social media efforts. Once you’ve analysed your rivals’ social efforts the platform will help you create better content for your own strategy, optimised for your target audiences with its AI insights. Next, Cortex will decide when the most effective time to publish your posts is and schedule everything for you as it continues to assess your competitors and unveil new insights.
BrightFunnel: Creating better content is going to help you generate more leads and a better quality of prospects but you still need to turn them into sales. This is where BrightFunnel wants to help by using its artificial intelligence to help you optimise your sales funnels, meaning you turn more of those hard-earned leads into easier-earned customers.
Cogito : Cogito is a real-time conversation analysis and guidance system that detects human signals in your customers’ speech and predicts what kind of reaction your sales and support teams should provide. The end goal is to empower your team with “emotional intelligence” so they know when to listen, when to take the lead and when to show empathy in interactions with your customers and leads.
Tact.ai : Tact.ai aims to fill the gap between human interactions with an AI sales assistant, so your sales teams can spend less time navigating inboxes and more time dealing with profitable leads. If you’ve ever found CRMs frustrating to use, you’ll be happy to hear Tact.ai is there to remove as much of the friction as possible. You can scan business cards to create new contacts, sync calls and meetings with Salesforce and handle just about everything from the mobile app.
ManyChat : With chatbots taking over more of the sales process for brands across every industry, the need to create bots on the fly is increasing. ManyChat makes it about as easy as it can be to create Facebook Messenger chatbots with the platform’s drag-and-drop builder. Forget about the coding implications of building a Facebook bot because ManyChat’s got you covered and it throws in some hefty analytics and automation features for good measure.
Chatfuel : Chatfuel also helps you create Facebook bots but there’s an even heavier emphasis on automating your inbox with this platform. The goal is to automate as much of the conversations with your clients, customers and leads as possible until handing them over to your team members at the crucial moment. The end result should be a sales process that’s able to handle a significantly large volume of customers without the cost of expanding your team.
Aizimov : Aizimov is an interesting piece of AI software that scribbles custom, personalised messages on your behalf. The platform scrapes information from the web (mostly form social media, news sources and financial transcripts) to create accurate emails and messages for each of your target audiences.
LivePerson : LivePerson takes artificial intelligence to the message apps your prospects are already using and creates a sales channel on the platforms they’re most comfortable with. Essentially, you’ve got AI-powered chatbots integrating with apps like WhatsApp, Line, Google Assistant and even your website – so you can have meaningful conversations wherever your prospects want to have them.
Optmyzr : Paid marketing has probably benefited from AI, machine learning and automation more than any other marketing strategy – purely because most of the workload involves crunching data, optimising settings and adjusting bids based on a variety of factors.

This is where technologies like automation and machine learning shine, which is why Optmyzr is such an impressive tool. In fairness, it doesn’t do anything you can’t script into Google Ads yourself (assuming you’ve got the programming skills) but it makes essentials like bid adjustments, keyword management, A/B testing and other optimisations simple – without the programming requirements.

Pathmatics : Pathmatics takes the opposite approach to Optmyzr and focuses on analysing the advertising performance of your competitors. It offers dedicated AI implementations for business, advertising agencies, publishers and ad tech firms – all designed to unveil new opportunities based on the best performers in your industry.
Cortex : Cortex by Retention Science is an AI email marketing platform that constantly optimises its own automation for better results. It refines your subject lines, discovers the best times to send emails to individual users, tracks user responses and then uses engagement data to create better campaigns all-year round.
Sensai : Sensai is an AI social marketing insights and recommendations platform that analyses the effectiveness of your social posts and guides you towards creating a strategy that hits bigger targets. The mobile app puts a social media expert in your pocket, powered by detailed analytics and data-driven recommendations that help you pinpoint what to post and when.
Slackla : Visual content is crucial to just about any social media marketing campaign and Stackla helps you discover user-generated content (UGC) and turn it into content that really engages with people. Instead of creating corporate videos and images that reek of sales pitches, Slackla’s algorithms discover the content your target audience is already creating – and other members of the same audience are engaging with – so you can cut in on the action.
GumGum : GumGum offers a number of AI-powered features for marketers, advertisers, sports brands and other niches. On the advertising side of things, it uses to AI to analyse the images as well as the content of pages so you can choose relevant sites to place your display ads. While Google Ads allows you to target sites topically, it’s difficult to guarantee your ad message doesn’t conflict with the content.
Emarsys : Emarsys is a fully-featured AI marketing system that promises to power your content, social, email, advertising and entire strategy with the latest technologies. We’re talking integrated personalisation across the board, sophisticated automations, predictive analytics and a single platform that streamlines your omnichannel marketing efforts.

How to increase the conversion rate on your website? Follow these 6 methods

April 9, 2023December 13, 2021 by strategyworks

6 ways to increase website conversion rates

How to increase the conversion rate on your website?

So what do you do when you recently realized that your current conversion rates are below the industry average? I have six tips that will help you increase the conversion rate on your website.

Reduce the information needed in the form

Especially in the B2B industry, entry forms have many chances that increase conflict and drive people away from filling them out. Since most of these forms are displayed only after you find your company, it is only natural that users may not want to give you their full name, phone number, address, annual income, or other details – but many B2B companies ask for all or most of this information.

Even in B2C, many companies can reduce conflict by removing the required fields to a blank space, which is usually just an email address. Chances are you are not swimming in the councils and customers right now, so you do not need to filter the indicators by making them jump to extra hoops.

Write a positive copy

Delete copy and standard landing page. Especially in B2B, I still see many sign-in pages and websites asking for email and other confidential information to exchange “joining a newsletter” or “getting an ebook.” People do not want to join your newsletter. They want the benefits of that brochure.

Get more art with your copy than the standard offer of “free trial” or “free consultation”. Communicating and providing creative ways is not as difficult as you think. The bar is low in the market.

Improve user information

The user experience of the page you want users to convert is a significant factor to increase the conversion rate on your website. If your forms are not accurate and if users have to spend a lot of time thinking about what they will do next, they may feel frustrated and overwhelmed, rather than changed. The user experience includes technical considerations.

If your website uploads too slowly, your users will leave before they can see all the content. Alexa SEO testing can help you quickly identify SEO technical issues that can provide a negative user experience and prevent conversions.

4. Better email for Lead Nurturing

Customer visits require different messages. If you have never heard of this product or your product, grab their attention by highlighting the benefits of your product rather than your brand name. In the same book, you should highlight your brand name in what is repeatedly featured on your product and who is already a loyal follower.

This difference in messaging creates different emotions and is designed for search purposes, all of which will improve the chances of your conversion. If you fail to organise the right messages to the right stage of the journey, achieving to increase the conversion rate on your webiste is less than right. Hope you won’t tend to focus on your offer when your topic and your main messages focus on an unfamiliar product or need that doesn’t fit well with theirs.

Include social proofs

Social evidence is a phrase that is thrown everywhere these days, even in pop culture. While the use of social evidence may seem obvious, common sense is not a normal process. Our agency has met many companies that know that public testimony is important, but they have never posted anything on their login or exit page – or on their website.

Adding social evidence to the page does not have to be a big temptation. You can add one expert quote, customer testimonials, a simple study of marketing cases, a reputable publication or a company you work with, a winning prize, or an average rating on a review site. Or, you can start with something as simple as a screenshot of your updates. Any social evidence can help give people the push they need to change. Add Google Reviews to your landing page

Intelligent A / B testing

Usually, your first landing page test will not change for the better. That is normal and expected. You should be aware that most of your conversion rate improvements may come from the many tests you run in order to improve your landing page over time as you edit your ad copy.

A common mistake is that a live landing page is not maintained due to other priorities. Regular reviews can give you important information and help you increase your page conversions.

By constantly splitting up to explore new variations of your page, you can further increase the conversion rate on your website over time. When you start, check out the important changes because you don’t know what works or doesn’t work. Small tweaks to the color of the buttons or font have little effect. Recommend to do A/B testing on Google Optimize

What is lead generation in digital marketing? Top 12 Proven ways for B2B leads generation

December 14, 2021December 13, 2021 by strategyworks

What Skillsets to learn in Digital Marketing image 3 — Source Credit: https://images.app.goo.gl/d91pBocoMYZaGMFFA

what is lead in marketing?

A lead is a term used in sales to describe interaction with a possible customer, also known as a “prospect.” …… For some businesses, a “lead” is a contact who has already been identified as a potential customer, whilst for others, a “lead” is any sales contact.

What are types of lead generation?

Outbound lead generation (cold calls, direct mail, advertising, and e-mail marketing) and inbound lead generation (cold calls, direct mail, advertising, and e-mail marketing) are the two basic types of lead generating (SEO, social media, PPC)

What is the difference between a lead and a qualified lead?

Anyone who has interacted with your company is referred to as a lead. They might or might not become a client. Anyone who has passed qualifying criteria to determine their quality as a lead, their fit as a customer, and their readiness to buy is referred to as a qualified lead. Leads eventually turn into opportunities, which turn into customers.

Is Lead generation part of Digital Marketing?

Yes, lead generation is part of Digital marketing. Lead generation is divided into marketing activities that correlate to stages of the buyer’s journey, beginning with traffic generation, then converting visitors to leads, and finally converting leads to customers.

What is lead generation strategy?

A lead generation strategy includes techniques for attracting and converting interested prospects into leads. A lead is a prospective consumer who has expressed interest in your brand by taking action. They’ve given you their contact information or hinted that they’d like to do business with you in some way.

There are four components to both B2C and B2B lead generation methods.

Lead capture is a method of gathering information from a lead. The lead’s name and contact information, as well as pertinent qualifying details about them or their company, may be included in the data (e.g., business name, position, number of employees).
Lead magnets are incentives that encourage potential customers to become new leads.
Lead qualification is a method of determining how probable a lead is to buy based on the information provided by the lead.
Segmenting leads based on their information, habits, and behaviours is known as lead segmentation (e.g., job title, lead magnet that attracted them, pages they visited on your website).

What is lead generation in SEO?

Search Engine Optimization (SEO) is a term that refers to the process of optimizing Search engine optimization (SEO) is developing material that responds to questions posed by search engines such as Google, Bing, Yahoo, and others.

It will assure the visibility of your website and its content on search engine results pages if implemented appropriately.

It’s an all-encompassing term that refers to everything from link-building and social media marketing to having keywords placed in your website that will notify search engines.

Here are some basic strategies for generating leads using SEO.

Create and Optimize Local Business listing
Optimize Your Homepage and Inner Content.
Create an active blog and optimise your blog posts….
Guest posting
Use Alt Tags in your images.
Increase the speed of your website.
Use social media to your advantage.

How to generate leads for B2B businesses with online media?

To increase B2B sales, we need a solid lead-generating strategy. This brings the marketing and sales teams together and provides salespeople with a tried-and-true framework to follow.

B2B lead generation, as we all know, is the process through which sales and marketing teams convert prospects into paying clients. But what exactly are these steps?

Step 1: Identifying B2B prospects

Finding the contact information of potential buyers is the first step in creating B2B leads. This data is frequently gathered in-house, developed by a third-party “lead gen” firm, or purchased from a lead database (not advisable for B2B lead generation).

Step 2: Contacting potential leads

Sales Reps contact prospects via cold outreach, social media, or answering to queries with a list of (hopefully) high-quality leads.

Step 3 : Qualifying and prospecting high-quality leads

Sales Reps assess how probable leads are to buy when communicating with them.

They’ll do it by determining where leads are in the buying process.

These stages are as follows:

1. Customer awareness and research: The customer is aware of a solution they require or an issue they are experiencing, and they are beginning to learn more about it.They will devour materials such as blogs, whitepapers, and case studies at this point.
1. Consideration: The lead is aware of the precise service/product required. He or she will now go over their precise requirements in detail before conducting research and “opening up” to vendors.
1. Purchase: After narrowing down vendors who best match their criteria, the buyer will have many meetings and check-ins with other decision-makers in order to finalise a purchase. Reps will start nurturing campaigns or focus on getting the prospect to schedule a call or demo depending on where they are in the sales cycle.
Step 4: Bringing leads to a close Achievement! After several meetings with various vendors, the prospect chooses you and the sale is completed. They’ll be moved to customer success for on boarding.

Ways to Generate Leads

1. Implement Chat-bot

Chatbots have the potential to generate a lot of leads. Because chatbots are available 24 hours a day, 7 days a week, the technology is ideal for establishing rapport with prospects. Set them up to reflect your brand’s personality so they may act as automatic marketing and sales agents.

2. Using Lead Magnets- Using gated content

Online content that is only accessible once a user fills out a form is known as gated content. The content is “locked,” unlike regular blog entries or landing pages. To access the content, visitors must first fill out a lead capture form.

This lead generation technique works because it provides free value to the audience while attracting high-quality leads who are interested in themes relating to your brand or offers. The following items are frequently found in gated content assets:

White papers
E-books are electronic books
Reports on Guides
Worksheets for Courses
Online resources

3. Using Marketing Automation: Lead Nurturing series

Making a must-read newsletter that encourages interested prospects to engage and remain in touch with your brand is another method to use the content as a lead magnet. This allows you to stay top of mind with consumers while also sharing product and service offerings that can move prospects farther down the purchase funnel. The following items could be included in your newsletter:

New blog entries
Information regarding your products or services will be sent to you on a regular basis.
Offers that are unique
Events to look forward to
Other thought leaders’ suggested reading

4. Host Events Online

Online and offline lead generation tactics are also possible. To attract and service your target market, host an in-person or online event and capture their contact information through event registration. Use live events to communicate with consumers in real-time, answering questions, responding to concerns, learning more about your audience, and actively guiding prospects through the sales funnel. Consider the following event possibilities:

Webinar
Workshop
Seminar
Meetup
Conference

5. Use Coupon & Discount

Offer a voucher or discount as a lead magnet to convert prospects who are interested in your products and services. This draws in both long-term and short-term prospects. In the long run, you’ve attracted someone who wants to purchase from your company. You can swiftly convert bottom-of-funnel prospects who are ready to buy into customers in the short term.

6. Free Trial

7. Optimize Your Website for Lead Magnet Promotion

Make sure website visitors can simply access your lead magnet to create more leads. Create on-site funnels that segment your audience and direct them to the lead magnet that most closely matches their requirements and interests. This can be accomplished by distributing lead magnets throughout your website.

It should lead to the main homepage call to action.
At the end of blog posts and pages, promote relevant lead magnets.
Use a pop-up to generate leads.
Create a resource library with password-protected material.
Include a lead generation hello bar (that sits at the top or bottom of your site).
In the sidebar, promote your lead magnet.

8. To promote your lead magnet, optimise your social profiles.

Make sure your social media followers are aware of your important lead magnet. It should be prominently displayed on social media so that when consumers interact with you, they see your offer and the clear next step toward partnering with you.

On profile pages, use hero photographs to promote your lead magnet. Instead of sending consumers to your homepage, employ call-to-action buttons by including links in your lead magnet.

9. Keywords toward the top of the funnel should be targeted.

Create a plan to target the phrases they search for to attract interested prospects and push them to your lead magnets. Do keyword research to find terms that your ideal customers are looking for at the top of the sales funnel. Then, in a variety of methods, target those keywords.

Create evergreen content that is keyword-optimized.
Create an on-site blog strategy based on the keywords you want to target.
Pay-per-click marketing allows you to target specific words.
Guest blog on sites where the target phrases have a large share of speech.
You increase your chances of being on page one, make sure to follow SEO best practises. The more search visibility you have, the more interest and traffic you’ll get from potential customers.

10. Do Re marketing

Keep the faith if prospects don’t convert during their initial engagement with your brand. Retargeting allows you to reconnect with people who have shown interest in your brand but haven’t taken the next step.

Retargeting allows you to show advertising to people who interact with your brand’s website or social sites (through Google display or social advertisements). Because buyers may need to view your brand several times before converting, re-targeting is a smart approach to keep them moving down the sales funnel.

11. Design Referral Reward Program

Create a referral rewards program in which consumers are rewarded for bringing you leads in exchange for a benefit or discount. Customers respect and trust recommendations from their peers, so getting current customers to spread the word about your company can be an effective approach to fill your lead funnel.

Above mentioned strategies are tried and tested and surely deliver great results. do share your feedback.

What are the best free and paid social media analytics tools?

December 14, 2021December 13, 2021 by strategyworks

Digital Marketing Course in Marathahalli

The answer to these questions is not just important to justify the ROIs of clients, but also the key to making future decisions on creating impactful digital campaigns.

That’s why the role of social media analytics has become paramount for successful social media marketing. To accurately measure the reach, impact, and even futuristic potential of social media marketing, having a solid, robust social media analytical framework is a must.

By paying close attention to social media analytics, we can measure our performance against our social media goals and make strategy amendments.

Social media analytics tools, competitor analytics tools, social media tracking tools, social media metrics tools, are just some variations in this cluster that users can take up.

From planning and scheduling social media content to measuring their performance and enabling informed decision-making, social media analytics tools give users control over their social media footprints.

This social media analytics provides social media reports according to their analytics which helps users to attract or create traffic on their social media or website platform.

Facebook Insights

Facebook offers an insightful glance at organic versus paid reach and engagement, which is a free social media analytics tool that helps users decide whether spending on ads is worthwhile.

Facebook’s analytics displays detailed metrics about your posts and the engagement they yield.
It provides audience analysis including demographic and location breakdown, video views, actions taken on your page and the reach of your posts.
You will need at least 30 fans to be able to use the tool as an Admin.

The main work of Facebook Insights is to measure the traffic and their want and dislikes. Facebook Insight provides a report on social media analytic based on their analytics.

They use campaigns also to get more relevant data. So these are the goals that Facebook Insights had to help many companies, organizations, and people to know the choice of people so they can do their marketing to make sales.

Twitter Analytics

Twitter’s built-in analytics tell you a lot about which tweets are succeeding and to what end and extent.

Your number of tweets, tweet impressions, visits to your profile, mentions, and followers are all tracked in the Twitter analytics dashboard.

Pinterest Analytics

Pinterest’s analytics measures the traffic that your site gets, as well as traffic from other channels.

Pinterest analytics also provide data as content people save from channels. Some analytics covered include average daily impressions and viewers, audience location, gender, language, the total number of repining, total number of clicks, and total likes.

They use measuring campaigns and tracking conversations to make powerful social media analytics reports. so these are the main goals of these social media analytics tools to do research for making a marketing platform for entrepreneurs.

Instagram Insights

Instagram’s analytics give you access to a host of social analytical data like interactions (profile visits and website clicks), discovery (reach and impressions), posts, Story, promotion analytics, location, age, and gender info of your followers.

Instagram is today one of the best tools to use for social media analytics. Instagram also provides a distinctive feature where you can see what days and times, your audience traffic.

Instagram follows the trend that is the reason it is trended social media network. The main work of Instagram Insights is to measure the types of users and provide the data.

You tube Analytics

Youtube analytics is the most comprehensive out there, and using them can help you maximize your earnings, engagement, enhance traffic sources with content sorting filters, geographical sorting, and a host of other filters to pick and choose.

You also get audience retention reports that show how style, length, and promotion efforts affect your videos.

YouTube is one of the most amazing and noteworthy places to attract marketing for your business. It is the second most popular media platform and search engine with 2 billion monthly active users. Maximize YouTube to promote your business.

To get started with YouTube analytics tools, you’ve got to understand how to get analytics on YouTube. Most people are not familiar with the fact that functions like YouTube analytics can be accessed on YouTube. Before diving into the top 10 YouTube analytics tools that can help in managing your YouTube channel, here’s how to get them straight from YouTube.

Step one: Click on your profile picture at the corner of your YouTube page

Step two: Select YouTube Studio, which is the third option there

Step three: A new page pops out showing your YouTube Studio dashboard. Check out the left-hand side, you will see “analytics” as one of the options on the dashboard.

LinkedIn Analytics

LinkedIn’s social media analytics are very distinctive and basically offer data about visitors, page updates, and followers as well as visitor demographics that revolve around job functions.

It provides critical information that social media managers, marketers, and content creators can use to improve their performance, learn about their audience, and track their progress against key goals.

LinkedIn analytics can help you measure:

The number of users who saw your content posted on LinkedIn
Demographic information about the users who follow you and visit your page
The number of times your content was liked and shared
Engagement with your career page

A LinkedIn analytics dashboard or report gives you a few benefits:

Display your LinkedIn data in one place alongside your other marketing data
Update whenever new data becomes available
Connects to other metrics from services such as Google Analytics
Allows you to share LinkedIn data with stakeholders who may not have access to or knowledge of the platform

Radian6

Radian6 is an online reputation management tool. It monitors brand mentions across social media platforms.

It takes the entire buzz over the web and filters it, which eases the task of analyzing. This is one of the paid and famous social media analytic.

They use measuring campaigns and also tracking conversations to make a powerful report based on social media analytics.

Social listening platforms like Radian6 search social media for keywords you provide. This list of keywords is super important to get right.

For most marketers, it can take some time to refine the keyword set to ensure that much of the results found are actually relevant and not off-topic. You can also connect competitor pages and profiles to enable benchmarking and competitor analysis.

Hootsuite

Hootsuite is an all-in-one social media platform that allows you to post through a single dashboard and can create a custom targeted stream to view the relevant conversations.

Its additional feature allows adding multiple team members to work simultaneously. This is also a paid social media tool but also used by the business world largely. They use measuring campaigns and also tracking conversations to make a powerful report based on social media analytics.

SocioAdvocacy

SocioAdvocacy is an Employee Advocacy Tool that empowers the employees to share company marketing data in their personal social media circles and increase the reach of the post.

It comes with a gamification feature that keeps employees engaged in the advocacy program. Again, this also works like LinkedIn which helps to build social media network between the company and employees.

They use measuring campaigns and also tracking conversations to make a powerful report based on social media analytics. Any organization that is conducting community awareness activities related to the above points can be considered a social advocacy organization.

The objective of a social advocacy organization is to support the legal and natural rights of those who cannot defend themselves, as a means to achieving social justice.

SocialBakers

SocialBakers is social media analytics and publishing platform. It provides social media analytical data in comparison with the competition or industry data. It collates all your Twitter and Facebook advertising data and gives clear reports for the same.

This is one of the famous social media analytics tools because it provides data and data is very helpful for building social media networks. They use measuring campaigns and also tracking conversations to make a powerful reports based on social media analytics.

Measuring historical data is a given with most analytics tools, but with Socialbakers, you get advanced AI technology that can predict your performance in addition to powerful sentiment analytics, influencer analytics, ads analytics, and more.

Google Alerts

Google Alerts monitors millions of online sources and shows you all the relevant published content, making sure you don’t miss out on anything on the web and social media networks so this is also one of the important platforms for help in creating traffic.

An e-mail is received whenever a new update is found. What are Google Analytics custom alerts? The Google Analytics custom alerts feature in Google Analytics allows you to be alerted of unusual changes in your Google Analytics data by email. So these were the main goals of social media analytics tools to make marketing and creating traffic on their website and business.

What is Facebook EdgeRank and why is it important

February 14, 2022December 13, 2021 by strategyworks

Facebook Edgerank decides which stories appear in users news feed

Facebook Edgerank algorithm hides the boring stories, so if the story doesn’t score good, no one will be seeing it.

When people login facebook what they see the first is the “newsfeed”. This is what is shared among their friends on facebook platform.

Every action their friends take is a potential newsfeed story. Facebook calls these actions “Edges.” That means whenever a friend posts a status update, comments on another status update, tags a photo, joins a fan page, or RSVP’s to an event it generates an “Edge,” and a story about that Edge might show up in the user’s personal newsfeed. Facebook Edgerank decides which stories appear in users news feed?

Facebook created an algorithm to predict how interesting each story will be to each user. And Facebook calls this algorithm “EdgeRank” because it ranks the edges. Then they filter each user’s newsfeed to only show the top-ranked stories for that particular user.

Why Should I worry?

Because most of your Facebook fans never see your status updates.

Facebook looks at all possible stories and says “Which story has the highest EdgeRank score? Let’s show it at the top of the user’s newsfeed. Which one has the next highest score? Let’s show it next.” If EdgeRank predicts a particular user will find your status update boring, then your status update will never even be shown to that particular user.

How does EdgeRank work?

EdgeRank is like a credit rating.it’s invisible, it’s important, it’s unique to each user, and no one other than Facebook knows knows exactly how it works.

Watch This Video to know more about how facebook Newsfeed decides what we want to see.

At Facebook’s 2010 F8 conference, they revealed the three ingredients of the algorithm:

Affinity Score
Edge Weight
Time Decay

Affinity Score

Affinity Score means how “connected” a particular user is to the Edge. For example, I’m friends with my brother on Facebook. In addition, I write frequently on his wall, and we have fifty mutual friends. I have a very high affinity score with my brother, so Facebook knows I’ll probably want to see his status updates.

Facebook calculates affinity score by looking at explicit actions that users take, and factoring in

the strength of the action,
how close the person who took the action was to you, and
how long ago they took the action.

Explicit actions:

Include clicking, liking, commenting, tagging, sharing, and friending. Each of these interactions has a different weight that reflects the effort required for the action–more effort from the user demonstrates more interest in the content. Commenting on something is worth more than merely liking it, which is worth more than merely clicking on it. Passively viewing a status update in your newsfeed does not count toward affinity score unless you interact with it.

Affinity score measures not only my actions, but also my friends’ actions, and their friends’ actions. For example, if I commented on a fan page, it’s worth more than if my friend commented, which is worth more than if a friend of a friend commented. Not all friends’ actions are treated equally. If I click on someone’s status updates and write on their wall regularly, that person’s actions influence my affinity score significantly more than another friend who I tend to ignore.

Lastly, if I used to interact with someone a lot, but less so now, then their influence will start to wane. Technically, Facebook is just multiplying each action by 1/x, where x is the time since the action happened.

Affinity score is one-way. My brother has a different affinity score to me than I have to him. If I write on my brother’s wall, Facebook knows I care about my brother, but doesn’t know if my brother cares about me.

This may sound confusing, but it’s mostly common sense.

Edge Weight

Each category of edges has a different default weight. In plain English, this means that comments are worth more than likes.

Every action that a user takes creates an edge, and each of those edges, except for clicks, creates a potential story. By default, you are more likely to see a story in your newsfeed about me commenting on a fan page than a story about me liking a fan page.

Facebook changes the edge weights to reflect which type of stories they think user will find most engaging. For example, photos and videos have a higher weight than links. Conceivably, this could be adjusted on a per-user level–if Sam tends to comment on photos, and Michelle comments on links, then Sam will have a higher Edge weight for photos and Michelle will have a higher Edge weight for links. It’s not clear if Facebook does this or not.

New Facebook features generally have a high Edge weight in order to promote the feature to users. For example, when Facebook Places rolled out, check-ins had a very high default weight for a few months and your newsfeed was probably inundated with stories like “John checked into Old Navy.” Generally, after a few weeks or months Facebook dials the new feature back to a more reasonable weight.

Time Decay

As a story gets older, it loses points because it’s “old news.”

EdgeRank is a running score–not a one-time score. When a user logs into Facebook, their newsfeed is populated with edges that have the highest score at that very moment in time. Your status update will only hit the newsfeed if it has a higher score–at that moment in time–than the other possible newsfeed stories.

Facebook is just multiplying the story by 1/x, where x is the time since the action happened. This may be a linear decay function, or it may be exponential–it’s not clear.

Additionally, Facebook seems to be adjusting this time-decay factor based on

how long since the user last logged into Facebook, and
how frequently the user logs into Facebook.

It’s not clear how exactly this works, but my experiments have shown time-decay changes if I log into Facebook more.

How do I check my EdgeRank Score?

Anyone who claims to check your EdgeRank is lying to you. It is completely impossible.

You can measure the effects of EdgeRank by seeing how many people you reached. You can also measure how much engagement you got (which impacts EdgeRank) using a Facebook analytics tool.

But there is no “general EdgeRank score” because each fan has a different affinity score with the page.

Furthermore, Facebook keeps the algorithm a secret, and they’re constantly tweaking it. So the value of comments compared to likes is constantly changing.

How can I optimize my fan page for EdgeRank?

It’s hard to trick an algorithm into thinking that your content is interesting. It’s much easier to rewrite your content so your fans leave more likes and comments.

Take your dull press releases, and turn them into questions that compel your fans to engage.

Here’s some examples:

“Click ‘like’ if you’re excited that we just released our new line of Gift products at Picworks.”
“Fill-in-the-blank: All I want for Gifting is ___. Our latest Diwali special discount is Rs 800/- Off.”
“On a scale of 1-5, I think Modi is a great marketer. Read his case study on General Elections this year.”

All those likes and comments will increase the Affinity Score between each fan and your page, boosting how many fans see your status updates in their newsfeed.

This is taken from www.edgerank.net

Digital Marketing Resume for Fresher & Experienced

December 16, 2021November 10, 2021 by strategyworks

What Skillsets to learn in Digital Marketing udemy course

When looking for opportunities on numerous job portals, such as Digital Marketing For Freshers, you will seldom come across companies that are willing to hire job seekers all at once.

Nobody wants to hire a digital marketer who doesn’t know what they’re doing. They require a digital marketing professional capable of developing Social Media strategy and SEO plans, as well as a digital specialist capable of successfully implementing digital tactics.

If you’re having trouble landing a decent job, it’s likely that your digital resume isn’t up to par or that you’re applying for the incorrect position.

The article will aid you in identifying flaws in your current digital resume as well as creating an exceptional CV that will help you stand out from the crowd and land a decent job in digital marketing as a fresher.

The Digital Marketing Resume Guide Will Help You Prepare for the Following Positions:

Make your resume header powerful to stand out by choosing the correct resume layout.
To be hired as a digital marketer without any experience, write captivating and effective objectives and summary for your digital marketing CV.

Selecting the Best Resume Layout

There are generally two sorts of resume formats based on how much digital marketing expertise you have.
If you’re a newbie or don’t have a lot of expertise, a functional resume structure is an ideal option for you. There is also various video editing software available to assist you in creating video resumes and CVs, which is a popular trend these days.

A CV like this focuses on your talents rather than your employment experience. We’ll go over how to put abilities on your CV later.
Those with sufficient experience should utilize the reverse procedure, which emphasizes job experience. You should not, however, overlook the need of adding a separate section for talents.

Resume and CV writing & Career hacking via LinkedIn Profile

Learn the latest resume & cv writing techniques, Interviewing skills, Group discussion best practices, Video Resume

The participants will be able to learn the Following imports topics in detail;

Effective Resume and CV preparation and Video CV / Resume
Academic output articulation and presentation of project work
Tips for Group Discussion and Personal Interview
Grooming and self-presentation
LinkedIn Profile ( Importance of LinkedIn profile, benefits and the related)

Effective Resume & CV Preparation:

Why companies Hire?
What is the Recruitment Process?
Science behind making of Resume/ CV
Why You need Video CV and when you should use it.

The scientific method of making resumes ready for keyword Searches and AI-based ATS?

First Review the Job Description and edit resume according to requirement
Upload Your resume in word Doc ( no other format)
While Writing resume put important Keywords ( as mentioned in the Job description & your industry keywords)
Header & Footer of word Doc should not contain any important information
Use standard format of resume I.e. it should include professional summary and key skills section along with a record of chronological achievements and work experiences.
Avoid any fancy looking formatting ( ATS software convert the resume in to text format)
Write Precise details about work and achievements ( Which can be quantified)
Keywords are good, but don’t overuse.

Important Sections to have in Resume

Header Section- To have Name and Contact Information
Professional Objective or Resume summary ( Better to use Resume summary for work Ex. People)
Work Experience ( for experienced) / Internships/ On Job Training/ Projects ( for fresher’s)
Job Responsibility / Project Description/ Work Allocated
Achievements / Project Outcome/ Your contribution to company (Include measurable results)
Educational Qualifications( Most recent first and so on)
Skill ( Technology Skills / Management Skills/ Soft skills)
Awards & Achievements ( Keep it to recent )
Languages
Community Services
Hobbies
References

Table of Contents