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Top 10 AI Trends That Will Transform Your Businesses

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Artificial Intelligence

Artificial Intelligence (AI) is no longer a futuristic concept; it has become an integral part of businesses across industries, transforming the way companies operate, innovate, and compete. AI technologies are evolving at a rapid pace, and organizations that adapt to these advancements stand to benefit immensely, driving efficiency, innovation, and customer satisfaction. The following article explores the top 10 AI trends that will significantly transform businesses in the coming years, providing insights into how these trends can be harnessed to create sustainable value.

1.AI-Powered Automation: Efficiency at Scale

Automation has been a key focus of AI development, and its impact on businesses is profound. AI-driven automation is not limited to simple, repetitive tasks; it’s now extending into more complex areas such as decision-making, customer service, and even creative tasks.

How AI-Powered Automation Transforms Businesses

  • Operational Efficiency: AI automates mundane tasks like data entry, payroll, and scheduling, freeing employees to focus on more strategic functions.
  • Improved Accuracy: Machine learning algorithms can reduce human error, especially in fields like finance and logistics.
  • Cost Reduction: AI enables businesses to scale operations without needing a proportional increase in manpower, significantly reducing operational costs.
  • Customer Service Transformation: AI-powered chatbots and virtual assistants provide 24/7 support, resolving customer queries in real time with increased accuracy and personalization.

Key Industries Benefiting

  • Manufacturing is embracing AI-driven robotics to automate production lines.
  • Retailers are using AI to automate inventory management and customer interaction.
  • Financial institutions deploy AI algorithms to automate trading and fraud detection.

Automation powered by AI is poised to transform virtually every industry by driving greater efficiency, lowering costs, and enhancing decision-making capabilities. Companies that fail to invest in this technology may find themselves at a competitive disadvantage.

2.AI in Personalization: The Age of Hyper-Personalized Customer Experiences

The shift towards a customer-centric business model has made personalization a cornerstone of successful companies. AI takes personalization to the next level by analyzing large amounts of data to deliver individualized recommendations, offers, and content.

How AI Enhances Personalization

  • Data-Driven Insights: AI algorithms process vast datasets to predict customer preferences and behaviors. By analyzing historical data and real-time interactions, businesses can offer personalized recommendations.
  • Customized Marketing Campaigns: With AI, marketers can create targeted campaigns tailored to specific audience segments or even individual customers, enhancing engagement and conversion rates.
  • Adaptive User Experiences: AI can modify website content, product recommendations, and even pricing in real time to suit the preferences of each user, providing a more engaging and relevant experience.

Examples in Action

  • Netflix and Spotify use AI to recommend content based on users’ viewing and listening habits.
  • Amazon and e-commerce platforms utilize AI to suggest products customers are more likely to purchase based on their browsing and buying behavior.
  • Healthcare companies leverage AI to deliver personalized treatment plans and wellness recommendations.

As customers expect more personalized experiences, AI-driven customization will become essential for businesses seeking to maintain a competitive edge. Personalization driven by AI can lead to higher customer satisfaction, loyalty, and retention rates.

3.AI and Cybersecurity: Strengthening Defenses Against Threats

As cyber threats become more sophisticated, AI is emerging as a powerful tool to protect businesses from data breaches, malware, and other security threats. AI-driven cybersecurity solutions can detect anomalies, predict attacks, and even respond to security incidents in real time.

Key AI Applications in Cybersecurity

  • Anomaly Detection: AI systems can analyze network traffic and user behavior to detect unusual patterns that could indicate a potential security threat.
  • Predictive Analytics: Machine learning models can predict vulnerabilities or threats by analyzing past data, allowing businesses to preemptively address security risks.
  • Automated Incident Response: AI systems can react to potential security breaches faster than human response teams, minimizing damage and disruption.
  • Fraud Detection: In sectors like finance and e-commerce, AI-powered algorithms are highly effective in identifying fraudulent transactions in real-time, enhancing trust and security for businesses.

AI-Driven Cybersecurity in Action

  • AI is being used by banks to detect fraudulent transactions by recognizing unusual patterns in financial data.
  • Companies like IBM are developing AI-driven security platforms to automatically respond to cyber-attacks.
  • Retailers use AI to identify and prevent e-commerce fraud, protecting customer data and financial information.

AI’s ability to analyze large datasets in real-time and recognize patterns beyond human capabilities is revolutionizing cybersecurity. As cyber threats evolve, businesses will increasingly rely on AI to safeguard their data and operations.

4.AI in Healthcare: Revolutionizing Diagnostics and Patient Care

Healthcare is one of the sectors that is poised to be radically transformed by AI. From diagnosing diseases to personalizing treatment plans, AI’s potential in healthcare is enormous, improving both patient outcomes and the efficiency of healthcare systems.

AI’s Impact on Healthcare

  • Enhanced Diagnostics: AI algorithms, especially those using deep learning, are increasingly outperforming humans in diagnosing conditions such as cancer, heart disease, and neurological disorders. AI analyzes medical images, lab results, and even genetic data to provide faster and more accurate diagnoses.
  • Predictive Healthcare: Machine learning models can predict disease outbreaks, patient recovery times, and the likelihood of disease progression, allowing for more proactive and preventative care.
  • Robotic Surgery: AI-powered robotic surgery systems provide precision that surpasses human capabilities, reducing recovery times and the risks associated with human error.

Examples of AI in Healthcare

  • IBM Watson uses AI to assist oncologists in identifying the most effective cancer treatment protocols based on patients’ medical histories.
  • Google DeepMind is applying AI to improve the accuracy of medical imaging, helping radiologists detect diseases like breast cancer at early stages.
  • AI-powered virtual nurses like Babylon Health assist patients in self-diagnosis and provide healthcare advice, improving accessibility to medical care.

As AI becomes more integrated into healthcare systems, it will lead to more accurate diagnoses, personalized treatments, and a more efficient healthcare delivery system overall. AI-driven advancements in healthcare could potentially save lives and revolutionize how care is provided.

5.AI-Enhanced Data Analytics: Turning Data into Actionable Insights

Businesses today are generating enormous volumes of data, but extracting actionable insights from that data can be challenging. AI-enhanced data analytics allows companies to process and interpret large datasets at unprecedented speeds, providing insights that would otherwise go unnoticed.

The Role of AI in Data Analytics

  • Real-Time Analysis: AI can process vast amounts of data in real time, offering businesses the ability to react quickly to changes in the market or customer behavior.
  • Predictive Analytics: Machine learning models predict future trends by analyzing historical data, helping businesses make more informed decisions.
  • Natural Language Processing (NLP): AI-powered NLP algorithms can analyze unstructured data, such as customer reviews, social media posts, and news articles, to identify trends and customer sentiments.

Key Examples of AI-Driven Data Analytics

  • Financial institutions use AI for risk assessment, detecting trends in market data, and optimizing investment portfolios.
  • Retailers use AI to analyze consumer behavior, predict shopping patterns, and optimize inventory levels.
  • Marketing teams use AI to analyze social media sentiment, improving their campaigns by understanding consumer needs and preferences.

AI-enhanced data analytics allows businesses to convert raw data into actionable insights, enabling better decision-making, increasing operational efficiency, and driving business growth. Data-driven decision-making is fast becoming a critical component of success in the modern business landscape.

6.AI in Supply Chain Optimization: Streamlining Operations

The global supply chain is complex and interconnected, with many moving parts. AI offers solutions that streamline logistics, predict demand, and optimize inventory management. AI-driven supply chain optimization can improve efficiency, reduce costs, and ensure smoother operations.

AI’s Role in Supply Chain Management

  • Demand Forecasting: AI models analyze historical sales data, market trends, and even weather patterns to predict future demand accurately, allowing companies to manage inventory more efficiently.
  • Route Optimization: AI-powered logistics platforms help optimize delivery routes in real time, considering traffic, weather conditions, and delivery deadlines, ensuring timely and cost-effective transportation.
  • Automated Warehousing: Robotics and AI-driven automation are transforming warehouse management by optimizing storage, streamlining inventory handling, and reducing human error.

Key Examples

  • Amazon and Alibaba leverage AI to predict consumer demand, manage inventory, and streamline delivery operations, improving their supply chain efficiency.
  • Walmart uses AI for demand forecasting and inventory optimization, reducing waste and ensuring products are always in stock.
  • AI-powered robots are increasingly used in warehouses for picking and packing products, speeding up order fulfillment while reducing errors.

The ability of AI to process large amounts of data and offer predictive insights is revolutionizing supply chain management. Businesses that adopt AI for supply chain optimization will see significant improvements in operational efficiency and cost savings.

7.AI in Human Resources: Smarter Recruitment and Employee Management

The integration of AI into human resources (HR) is streamlining processes such as recruitment, employee engagement, and performance management. AI tools are not just improving efficiency but also helping HR professionals make better, data-driven decisions.

AI’s Role in HR

  • AI-Powered Recruitment: AI can screen resumes, match candidates to job profiles, and even conduct initial interviews using natural language processing (NLP). This reduces the time HR teams spend on repetitive tasks and increases the likelihood of finding the right candidate.
  • Employee Engagement: AI-driven platforms can monitor employee sentiment by analyzing feedback, emails, and social interactions, enabling HR teams to proactively address workplace issues and improve morale.
  • Performance Management: AI can analyze employee performance data to identify trends, potential challenges, and areas for development, offering personalized training and development recommendations.

Examples of AI in HR

  • HireVue uses AI to analyze video interviews, assessing candidates’ language, tone, and non-verbal cues to make recommendations on fit and performance potential.
  • LinkedIn Recruiter utilizes AI to suggest potential candidates based on a company’s hiring history and a candidate’s online profile.
  • AI-driven employee engagement platforms like Glint analyze feedback and suggest actions to improve team morale and performance.

AI is transforming the HR landscape by making recruitment more efficient, improving employee satisfaction, and driving better performance management. By leveraging AI, businesses can create more productive, engaged, and satisfied workforces.

8.Natural Language Processing (NLP): Bridging the Communication Gap

Natural Language Processing (NLP), a subset of AI, focuses on enabling machines to understand and process human language. NLP is transforming how businesses interact with customers and manage information, from chatbots to sentiment analysis and content generation.

How NLP is Transforming Business

  • Customer Support Automation: AI chatbots powered by NLP can handle routine customer inquiries, freeing up human agents to focus on more complex tasks.
  • Sentiment Analysis: NLP algorithms can analyze customer reviews, social media posts, and other unstructured data to gauge customer sentiment and identify areas for improvement.
  • Content Generation: AI-driven platforms use NLP to create content automatically, from marketing copy to news articles, saving time and resources.

Key Examples of NLP

  • Chatbots like those used by companies such as Zendesk and Drift can respond to customer queries in real-time, improving customer satisfaction.
  • Social media platforms use NLP to filter out inappropriate content and analyze sentiment around trending topics.
  • AI content generation platforms like OpenAI’s GPT are helping businesses create high-quality content at scale.

NLP is revolutionizing how businesses interact with their customers and process vast amounts of text data. As NLP technology continues to improve, businesses will benefit from more efficient communication and better insights into customer needs and preferences.

9.AI and Edge Computing: Bringing AI Closer to the Source

Edge computing is the practice of processing data closer to where it is generated, rather than relying solely on cloud-based systems. This trend, when combined with AI, can offer real-time data processing and decision-making at the source, improving performance and reducing latency.

AI’s Role in Edge Computing

  • Real-Time Analytics: AI-powered edge computing enables real-time data processing, making it ideal for industries where immediate insights are crucial, such as manufacturing, autonomous vehicles, and smart cities.
  • Reduced Latency: By processing data locally, AI at the edge minimizes the delays caused by transmitting data to central servers, ensuring faster response times for critical applications.
  • Increased Security: With sensitive data being processed locally, edge computing combined with AI can reduce the risk of data breaches that could occur when transmitting data to cloud-based systems.

Industries Benefiting from AI at the Edge

  • Autonomous vehicles rely on AI and edge computing to make split-second decisions based on data from sensors and cameras.
  • Smart manufacturing systems use AI at the edge to monitor equipment in real time and predict maintenance needs before a breakdown occurs.
  • Retailers use AI at the edge for real-time inventory management and customer behavior tracking, improving store efficiency and customer experience.

As the need for real-time decision-making grows, the combination of AI and edge computing will become critical in industries where speed and security are paramount. By processing data at the source, businesses can achieve faster results and make more informed decisions.

10.AI in Sustainability: Driving Environmental and Business Goals

Sustainability is becoming a key priority for businesses, driven by consumer demand, regulatory requirements, and a growing awareness of environmental issues. AI can play a significant role in helping businesses meet their sustainability goals, reducing waste, optimizing resource use, and even developing new environmentally friendly products.

AI’s Role in Driving Sustainability

  • Energy Efficiency: AI can optimize energy use in buildings, manufacturing processes, and data centers, reducing overall energy consumption and carbon footprints.
  • Waste Reduction: AI-powered supply chain optimization helps businesses reduce waste by improving inventory management, reducing overproduction, and minimizing unsold goods.
  • Sustainable Product Design: AI-driven innovation platforms assist businesses in designing products with a lower environmental impact, from sourcing sustainable materials to optimizing product lifecycles.

Examples of AI in Sustainability

  • Google uses AI to reduce energy usage in its data centers, leading to significant reductions in its overall carbon footprint.
  • Siemens uses AI in its smart grid technology to optimize energy distribution, reducing waste and improving efficiency.
  • Unilever employs AI to monitor its supply chain, ensuring sustainable sourcing and reducing its environmental impact.

As businesses increasingly prioritize sustainability, AI will play a critical role in helping them meet environmental goals while also driving efficiency and cost savings. AI-driven sustainability initiatives not only benefit the environment but also enhance brand reputation and customer loyalty.

Conclusion

AI is reshaping businesses across all sectors, offering new ways to drive efficiency, enhance customer experiences, and achieve long-term growth. From automation and personalization to cybersecurity and sustainability, the potential applications of AI are vast and varied. The key to success for businesses lies in embracing these AI trends early, understanding their implications, and investing in the right technologies to remain competitive in an ever-evolving marketplace. By leveraging AI effectively, businesses can unlock unprecedented opportunities for innovation, transformation, and value creation.

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Top 3 Advanced Persistent Threats and How Businesses Can Stop their Attacks

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Businesses of various sizes and fields are susceptible to advanced persistent threats (APTs). According to the cybersecurity company ANY.RUN, in the first quarter of 2025 the most active phishing groups were Storm1747, TA569, and Storm1575. isn’t limited to, finance, media, and cybersecurity.

To protect the infrastructure of your organization, learn about their tactics and weak spots below.

Storm1747 – detected 16,140 times in January–March 2025

Storm1747 is a cybercriminal group responsible for the Tycoon 2FA phishing kit. It’s known to evade detection systems by using malicious QR codes. Still, such attacks don’t go unnoticed. The adversaries leave traces, and they can be identified.

To retrieve information on them and protect your company, use threat intelligence services. Here’s how to investigate threats in ANY.RUN’s TI Lookup, a constantly updated searchable database of IOCs, IOAs, and IOBs of the most recent attacks:

1.Enter the query

TI Lookup allows you to conduct compound searches. For example, let’s browse its database to look for threats flagged as Storm1747 and involving QR codes by entering this query:

threatName:”storm1747″ AND threatName:”qrcode”

threatName:"storm1747" AND threatName:"qrcode"

In TI Lookup, you can form compound searches with any of over 40 available parameters

Explore current cyber threats with 50 trial requests in TI Lookup

2.See the results

Now we can see a list of all freshly gathered threat samples that fit our requirements:

The list of threat samples that fit our query

The list of threat samples that fit our query

3.Collect actionable intel to enrich your defense

Each contains an in-depth threat context. By clicking any of the search results, you can continue the analysis in ANY.RUN’s Interactive Sandbox for malware analysis to collect detailed info on each threat and interact with malicious files safely to understand their behavior:

Interact with malware for further analysis in ANY.RUN’s Sandbox

Interact with malware for further analysis in ANY.RUN’s Sandbox

That’s how you can analyze recent attacks, collect their indicators, and take measures to protect your company from upcoming threats associated with them.

TA569 – detected 1,005 times in January–March 2025

TA569 is a threat actor responsible for the SocGholish malware injected into compromised websites via malicious JavaScript.

With this simple search query in TI Lookup, we can find our which domains fell victim to SocGholish:

threatName:”socgholish” AND domainName:””

Search results for domains associated with the SocGholish

Search results for domains associated with the SocGholish

You can also subscribe to this or any other query via the Search Updates feature to keep track of the threats as they evolve. In this case, information on fresh attacks will appear on your dashboard highlighted in green.

Search Updates in TI Lookup allow you to track evolving threats

Search Updates in TI Lookup allow you to track evolving threats

Storm1575 – detected 762 times in January–March 2025

TI Lookup allows you to check if an indicator has anything to do with a threat. For instance, you would like to find out whether a website is related to malicious activities. All you have to do is to browse the database for its mentions using a query like that:

domainName:”castirontexas[.]com”

And in a moment’s time, you’ll know that this website is associated with Storm1575, one of the leading recent cyber criminal groups. It’s known to conduct attacks targeting companies globally via the Dadsec platform.

The website we checked is associated with malicious activities

The website we checked is associated with malicious activities

Try TI Lookup to Enrich Alerts and Speed up Incident Response

TI Lookup’s searchable database provides you with the most up-to-date information on the latest cyber threats and enables business and organizations to:

  • Detect and identify attacks before they cause damage
  • Investigate and browse IOCs, IOAs, and IOBs for more insights on threat actors
  • Enhance the efficiency of your security team’s workflow
  • Gain access to data that helps take proactive action against cyber threats

Over 500,000 security professionals worldwide, including SOC teams from 15,000 companies, contribute to ANY.RUN’s database, keeping it relevant and abundant.

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How Accurate Pulley Alignment Can Prevent Equipment Failures

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Pulley Alignment

In industrial settings, the smooth operation of machinery is essential for productivity and safety. One often overlooked aspect that can significantly impact machinery performance is pulley alignment. Proper alignment of pulleys ensures that belts run smoothly, reducing wear and tear on equipment components and minimizing the risk of costly breakdowns. In this article, we’ll explore the importance of accurate pulley alignment and how it can prevent equipment failures.

Understanding Pulley Alignment

Pulleys are critical components in various types of machinery, including conveyor systems, pumps, and motors. They transmit power from one rotating shaft to another via belts or chains. When pulleys are misaligned, even slightly, it can lead to a range of problems, including increased friction, excessive vibration, and premature wear on belts and bearings.

Common Causes of Misalignment

Several factors can contribute to pulley misalignment, including:

  1. Installation Errors: Improper installation of pulleys or shafts can result in misalignment from the start.
  2. Belt Tension: Inadequate or uneven belt tension can cause pulleys to shift out of alignment over time.
  3. Shaft Deflection: Shaft deflection due to excessive loads or improper support can lead to misalignment issues.
  4. Thermal Expansion: Temperature fluctuations within the machinery can cause components to expand or contract, affecting pulley alignment.

Impact of Misalignment on Equipment

Misaligned pulleys can have significant consequences for machinery and production processes, including:

  • Increased Wear and Tear: Misalignment causes excessive friction, leading to accelerated wear on belts, bearings, and other components.
  • Reduced Efficiency: Machinery operates less efficiently when pulleys are misaligned, resulting in higher energy consumption and reduced productivity.
  • Vibration and Noise: Misalignment often results in excessive vibration and noise, which can be disruptive and potentially harmful to equipment and personnel.

Preventive Measures

Preventing pulley misalignment is key to maintaining equipment reliability and prolonging service life. Here are some preventive measures to consider:

  1. Regular Inspection: Conduct routine inspections of pulley alignment using precision tools such as a laser alignment tool. Identify and correct misalignment issues promptly.
  2. Proper Installation: Ensure that pulleys and shafts are installed correctly according to manufacturer guidelines to minimize the risk of misalignment from the outset.
  3. Belt Tensioning: Maintain proper belt tension to prevent slippage and minimize the likelihood of pulley misalignment.
  4. Temperature Monitoring: Monitor temperature fluctuations within the machinery and take measures to minimize thermal expansion effects on pulley alignment.

Importance of Laser Alignment Tools

Laser alignment tools are invaluable for achieving precise pulley alignment. These advanced devices use laser technology to measure and adjust the position of pulleys with unparalleled accuracy. By providing real-time feedback and visual guidance, laser alignment tools enable operators to achieve optimal alignment quickly and efficiently.

Conclusion

In conclusion, accurate pulley alignment is crucial for preventing equipment failures and ensuring the smooth operation of industrial machinery. By addressing misalignment issues proactively and utilizing advanced tools such as laser alignment tools, manufacturers can minimize downtime, reduce maintenance costs, and enhance overall productivity. Investing in proper pulley alignment practices is a wise decision that pays dividends in the form of improved equipment reliability and performance.

Remember, maintaining optimal pulley alignment is not just a matter of efficiency—it’s a fundamental aspect of ensuring the safety and longevity of industrial equipment.

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Tweet Your Way Towards Better Dental Marketing Results

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Dental Marketing

As one of the leading social networking sites nowadays, Twitter is a good way to promote a business. Engagements and search results can be easily achieved. Through a 140-character content, you have the power to expand your business.

Retweets and Likes are mostly the forms of promotions that Twitter uses. But because Twitter uses a different method of curating the content, there is a possibility that new tweets will cover up the tweets, tweeted just minutes ago.

So, as proven time and again, Twitter is a great tool for promoting. But it isn’t a genie’s lamp that would grant you wishes for faster marketing success. Instead, it needs to have great content that is relevant to your audience.

How to use Twitter for your Dental Campaign

Social media is a great way to grow your practice with dental marketing ideas, especially if you’re looking for dental patients. Twitter in particular is a good platform to start with, as it allows you to connect and communicate with your audience in the most direct and effective way.

There are many benefits to using twitter for your dental marketing even if you are not a “techie” or a “geek”.

Here are some of them:

  • Twitter provides a fast and effective way to communicate with your target audience.
  • You can interact with people who might not know who you are yet. You can build relationships with potential clients.
  • Twitter can help you find new customers. Use hashtags to get known by new customers who might be looking for someone exactly like you.
  • Twitter helps you stay relevant and up-to-date on current trends and news affecting your industry. You can share important information regarding dental health, dentists, procedures and products with your followers.
  • Twitter gives you credibility as an expert by sharing your knowledge and experience with other dental practitioners, patients and potential clients.

Twitter might be a little bird that only allows 140 characters, but if you know how to maximize its use, then you’ll expect better results.

Here are some the tips on using Twitter for your marketing strategy:

Know How to Use the Search Option Properly

A lot of Twitter users don’t know how the search options work and how to properly use the search operators to  accurately get the results that they need.

Most people just randomly type keywords in the search box, but what they did not know is that Twitter will only search tweets that have all those words. The results usually show unrelated tweets, to what you intend to find.

However, to obtain better results, users should use the search operator or in between the two keywords that they are searching. And if they are using phrases to search something, it is better to use “” for better results.

From Pinned Tweet to Feature Box

Feature Box is like a lead magnet of your page that allows visitors to add to your email list – it is a form that is on the top of your homepage. You can turn your pinned tweet into a feature box by using lead generation cards and a pinned tweet.

You can create this by only making a Lead Generation Card that includes rewards for people who use or answer the form then pin the tweet to your Twitter profile, then there you have it!

This tool will come in handy in the future when you use it with other marketing tools, and you can directly download your email list with this also.

Tweet the Same Content Many Times but Tweak it a Little

The downside that Twitter has a lot of users is that recent tweets immediately are covered by other tweets. And it results in previous tweets being neglected and becomes useless.

What you can do to maximize the tweeting process to promote this is to tweet the same content a lot of times. Don’t be afraid to do it, because sometimes your second tweet will work better than your first one.

However, even if it is a good idea to tweet the same tweet a couple of times, making the text and image different each time you tweet has a higher risk of receiving tons of interest and engagement. With this also, you can check the analytics of the type of tweets and contents works well.

Your Tweets Should Look Good

Links can be a great help for contents but having long tweets can limit the character count of your tweet. Instead of tweeting the whole link, you can maximize link shorteners. With this, it also makes your tweets neater.

Your Tweets Should Look Good

As Twitter keeps on changing, adding videos and images can make a great difference as well because they make your tweets more attractive instead of having dull tweets. Engagements are usually high with this kind of tweets.

Your displayed photo and header should match the business that you have. Make sure that the pictures that you are going to use have high resolutions and fits with the standard sizes that twitter has.

Even your profile bio should be presentable as it is the first thing after your picture that a visitor will look at. Make it short and exciting, like phrases that describe your business or page.

Create a Proper Tweeting Schedule

It may sound so vain, but there are appropriate hours where the engagement is higher compared to other hours of the day. You should properly study the perfect timing, and make scheduled tweets to increase awareness and engagement for your tweets. This way, a lot will be aware of your business.

Takeaway

As social media marketers, using influencer marketing enables us to learn new strategies about social media and how to connect and achieve more engagements. Knowing Twitter’s basics and setting up a profile can help you understand the advances.

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