Monthly Archives: July 2022

Social Media

How can you best include social proof into your marketing strategy?

Social proof is an effective marketing tactic that may increase your sales and conversion rates. Here’s how to include social proof into your marketing plan to achieve the best results.

1. Make use of client endorsements and reviews

Use customer testimonials and reviews as one of the best ways to incorporate social proof into your marketing strategy. Potential clients are more likely to convert when they discover that others have enjoyed using your product or service.

2. Make the most of social media

A fantastic venue for displaying social evidence is social media. Post consumer testimonials, reviews, and even social media interactions on sites like Twitter and Face book. This will demonstrate to potential clients that you are a reliable company with a devoted audience.

3. employ influencer marketing

Another excellent approach to use social proof is through influencer marketing. You effectively obtain the influencer’s mark of approval when you collaborate with one who has a sizable following. This can greatly increase your chances of converting potential consumers.

4. Ensure that your website is easy to utilize

Another crucial component of any social proof approach is your website. Make sure that using and navigating your website is straightforward. This will boost the likelihood that potential consumers will convert by making it simple for them to locate the information they need.

5. Employ trust seals

Another excellent way to demonstrate to potential customers that your company is reliable is by using trust badges. Badges from reputable organizations like the Better Business Bureau (BBB) can assist raise conversion rates and increase brand credibility. By include social proof in your marketing approach, you may increase your brand’s trust and increase sales. your sales and conversion rate.

The best way to incorporate social proof into your marketing strategy

You always search for methods to enhance your marketing approach as a business owner. Including social proof in your marketing mix is one method to do this.

Describe social proof. Social proof is a psychological phenomena that happens when individuals imitate the behaviors of others to feel accepted. To put it another way, it refers to the notion that people are more inclined to do something if they observe others doing it as well. Numerous ways may be found to incorporate this idea into your marketing plan. For example, you might use social proof to: Build trust with potential consumers by showing them that other people have had good experiences with your company. Increase conversions: People are more inclined to become paying customers themselves if they see that others are using and appreciating your product. Create word-of-mouth: Social proof may help you create word-of-mouth marketing because people are more inclined to recommend a product or service to their friends and family if they witness other people using and enjoying it. As you can see, social proof has the potential to be a potent weapon in your marketing toolbox. Then, how can you include it into your marketing strategy? Here are some suggestions:

1. Make use of endorsements:

 Customer endorsements are an excellent approach to foster trust and boost conversions. Make sure to prominently feature them in your marketing materials and on your website.

2. Make use of social media:

 This is a terrific way to show off social evidence. Share client success stories and testimonials, and be sure you submit many favorable reviews.

3. Use influencers:

It might be effective social proof if you can get prominent individuals to talk about your good or service. Ask bloggers, social media influencers, and other opinion leaders whether they’d be willing to sample your product and write a review of it.

4. Provide statistics:

Data and statistics may serve as effective social evidence. Share the number of clients you have, the amount of money you make, or the number of app downloads.

5. Employ case studies:

Case studies are an excellent technique to communicate the outcomes of utilizing your product or service. They can assist potential buyers in envisioning how they could use your product to get comparable outcomes. Obtaining endorsements for your product or service from well-known bloggers or social media users may be effective social proof.

4. Run contests:

Contests are a terrific method to promote your business through word-of-mouth. People are more inclined to spread the news if you provide a contest with an alluring reward.

5. Make advantage of user-generated content (UGC):

UGC is material that users or fans of your product or service make. Make sure to prominently feature this material on your website and social media pages as it may be a wonderful source of social proof. You always search for methods to enhance your marketing approach as a business owner. Including social proof in your marketing mix is one method to do this. Describe social proof. Social proof is a psychological phenomena that happens when individuals imitate the behaviors of others to feel accepted. In other terms, it refers to the notion that individuals are more inclined to take an action if

Technology

Multi-profile accounts may soon be available on Facebook

Facebook is exploring a possibility that allows users to make multiple accounts using the same account, as part of an attempt by the platform to increase growth in its user base. This feature is designed to aiding users “tailor their experience based on interests and relationships”.

Although Facebook does not allow users to have several accounts on the platform, this feature will enable users to make up to 5 profiles on their account to interact with various topics or groups of individuals. This could include profiles made to connect with friends instead of coworkers or a profile devoted to a particular pastime like gaming.


The test is taking place when Facebook, the parent of Meta (FB), has a slowing profit and a hefty competition from rivals such as TikTok, which is competing for users’ attention and attention.

Meta is currently transitioning into a business focused on the future of a virtual and augmented reality-enabled metaverse rather than social media. However, it must continue earning profits from its existing platforms to finance investments in the future vision. The company is looking to improve the integration between Facebook and Instagram and make it easier for users to access content and interact with communities across both platforms.

The users of the new multi-profile feature can make distinct identities for every profile they create. The profiles of users’ main accounts must be in line with Facebook’s rules to use the same names that are referred to frequently. There will also be specific Facebook features, like capability to create a profile, which is only accessible only to profiles that are the primary ones of the user.

Tech News

Microsoft Windows 12 could be available in 2024

Microsoft is shifting the Windows update release date again. According to a Windows Central report, Microsoft is considering changing the Windows update release schedule. Instead of releasing one major update per year, as previously stated, they will release one significant update every three to four years.

Given the bugs and performance issues that plagued previous releases, the recent change from a two-a-year update to one significant update was well received. IT administrators could also relax and worry less about updating their systems yearly. Microsoft now has more time to release major updates and still delivers a steady stream of new features to current Windows versions.

Microsoft will allow enough time for any problems to be resolved before releasing an update that causes printers or other devices to crash. Three years after Windows 11 was released, the next release is scheduled for 2024.

Machine Learning

5 Unexplored Benefits of Machine Learning in Retail

When we start examining how technology is changing life, education, and the business landscape as a whole, we might not be able to exhaust everything in a day. Technology is now a mode of life and there is no denying that. Among the top-notch technologies conquering every aspect of life, we have Machine Learning (ML) and Artificial Intelligence (AI).

Machine learning alone is a subset of artificial intelligence and deals with the use of data and algorithms to gain insights and draw predictions from the raw data input. Precisely, ML is a technology that allows systems to learn on their own i.e from experiences without being explicitly programmed.

The growth of data science has led many businesses and companies to leverage technologies like ML and AI. With such technologies in place, business processes are streamlined, and business owners are able to attain and digest big data and make more informed decisions. When computers are fed with data; whether from customers or business owners, they are able to learn and update their knowledge base continually.

Machine learning is revolutionizing eCommerce and retail as a whole by allowing retailers to stay ahead of the competition, forecast market changes, and provide better customer service. Applying machine learning to business workflow helps to achieve optimal efficiency, eliminates human error, and results in the better utilization of business data. When it comes to marketing, ML helps in the process of analyzing large data to gain insights into customer behavior, spending, and customer lifetime value. It also leads to better-targeted marketing campaigns.

The global market for machine learning was valued at USD 15.44 billion in 2021. More insights show that the ML market is expected to grow to USD 209.91 billion in 2029. Other findings indicate a 300% increase in investments in machine learning and AI technologies. 91.5% of the world’s companies besides Amazon, Alibaba, eBay, Netflix, and Walmart are already investing in machine learning, automation, and artificial intelligence.

Regardless of the industry, or type of business (online or brick-and-mortar), any retailer can leverage ML technology to improve marketing strategies, increase sales, or double ROI. However, it’s crucial to first understand how machine learning works to bring about optimal results. Now let’s explore more about the benefits of Machine Learning in retail.

5 Unexplained Benefits of Machine Learning in the Retail Sector

  1. Personalized Product Recommendations

This is the age of personalization and the trend isn’t about to fade away. A report by McKinsey & Company shows that customers not only want personalization but demand it. The report also shows that companies that manage to connect with their customers generate faster revenue. To substantiate, 71% of customers expect personalization from their brands. Todd Yellin, Netflix’s vice president of product innovation, describes personalization as the process of creating the right connection between the viewer and the content. In addition, Netflix managed to save $1 billion due to its machine learning algorithm that personalizes content recommendations for its users.

Personalized product recommendation results in better customer experiences and consumers are left more satisfied than without it. Many brands and businesses are aware of how valuable every customer is. To enhance experiences, generate leads, and boost sales, companies leverage ML to understand customers’ behavior depending on purchase history or profile. The technology studies customers’ or shoppers’ data input or queries and then begins cultivating experiences based on the data input.

With time, the website automatically brings up related searches and similar products based on historical data or what other customers searched about. Retail companies use recommendation systems to help customers access the latest content and personalized offers they would benefit from. These efforts increase sales and improve buyer journeys.

  1. Optimized Supply Chain Management

Market dynamics are forces that every business must deal with. However, with machine learning technology, businesses can have their supply chains optimized to eliminate or reduce disruptions and meet customer demands on time. Machine learning provides an avenue where large volumes of real-time data are centralized, accessed, and used to make decisions.

Retailers get to know how to better manage their inventory or look for other suppliers to achieve a balance between the stock in hand and the customer demand. Businesses can also stock up on goods or resources once they predict a shortage in the near future. Precisely, ML allows automated quality inspections and reduction in forecast errors due to its efficiency.

For example, an apparel store can leverage machine learning to study customer behavior, analyze its current stock, and plan for procurement. The retailer is able to learn about future customer behaviors and then stock more where necessary. ML impacts every point of supply chain management from procurement, and logistics, to stock availability.    

  1. Forecasting Future Trends 

Modern markets are fast-paced and forecasting is key to predicting future market changes and why they will occur. With the advent of COVID-19, a drastic change in customer behavior, and supply chain disruptions, it has become more significant for retailers to rely on data to understand future market trends.

Market forecasting is the process of analyzing the current trends to predict future trends. Machine learning helps retailers to predict market patterns by assessing current customer behavior, purchasing power, and preferences among other forces. Machine learning has become crucial in forecasting future trends by providing authentic data to retailers.

Computer algorithms recognize people’s genders, ages, preferences, and purchasing power. It helps retailers to do away with guesswork, most especially when it comes to planning and decision making. They are able to make realistic predictions that have a far-reaching impact on business ROI and growth. Retailers are also able to create optimized and targeted marketing campaigns to increase customer lifetime value. All in all, trend forecasting helps retailers stock up on products that will be in demand or make better marketing decisions.

  1. Greater Efficiency in Finance & Payments

The recent developments are paving the way to harness machine learning in financial management and payments. With the help of ML and AI, retailers can track customers’ purchase trends through various channels like CRM databases, user-generated content, and purchase history. As people prefer online payments, and order discounts, machine learning helps in price optimization and fraud detection.

Machine learning involves data analytics and it can help in studying customer and purchase behaviors. In case there are sudden changes, there is better predictability as algorithms can revise the data. Businesses can then set better Key Performance Indicators (KPIs) to impact the business tasks and their bottom line.

Utilizing machine learning in payments and financial management will require a retailer to first find an eligible team with professional and technical experience in several areas like data, computer science, and advanced analytics.

These should work hand in hand with the sales, marketing, and management teams. Machine learning currently caters to credit card transaction monitoring and this helps in the real-time authorization of transactions and elimination of errors in payments.

Besides, when recurring payments or invoice operations get automated, it will add to positive employee experience leading to greater workplace motivation. Employees can then focus on other imperative tasks without having to worry about monotonous and repetitive tasks.

  1. Seamless Customer Experiences  

It is every business’s target to get more leads, and sales, and offer the best-in-class customer experiences. Before, retailers relied on human efforts to offer the best experiences to customers. However, with the advent of top-notch technologies like AI, ML, and data science, retailers can rely on facts to craft better experiences depending on customer habits and interests.

eCommerce and retail are all about experiences and with ML, retailers can optimize buyer journeys through personalized shopping experiences. Machine learning helps businesses gain insights into raw data such as customer purchasing habits and trends and are able to understand demographics, improve browsing experiences or invest in targeted marketing campaigns. Algorithms are more accurate in identifying what customers are more likely to buy more in the future and retailers are able to direct their marketing efforts to the right consumers and markets.

To encapsulate, Machine learning (ML) and Artificial Intelligence (AI), are fascinating technologies stirring up every aspect of life. From recommendation engines, and self-driving cars to seamless voice searches, ML and AI are revolutionary in every way. In retail, ML is undeniably an influential factor in understanding customer data, crafting marketing campaigns, and providing seamless CX. As a retailer, it’s essential to implement AI and ML technologies to optimize marketing efforts, business growth, and ROI.    

Author Bio:

“Doing what you love is the cornerstone of having abundance in your life.” Wayne Dyer’s thoughts are well suited to Kiara Miller. She has been working as a content marketing professional at ‘The Speakingnerd’. Her passion for writing is also visible in the innovative joys of material she provides to her readers.

Tech News

Samsung creates world’s most powerful graphics DRAM chip


24-gigabit Graphics Double Data Rate 6 (GDDR6) is based on third-generation 10-nanometer technology and boasts a processing speed that is 30 percent more efficient than other products, according to the company in an announcement.


South Korean tech giant Samsung has created a new active random-access memory (DRAM) chip. Samsung claims it’s the fastest graphics DRAM chip designed with faster performance and higher efficiency than prior chips.


Its 24-gigabit Graphics Double Data Rate 6 (GDDR6) utilizes the third generation of 10-nanometer technology. The company stated in an announcement that it boasts a processing speed that is 30 percent more efficient than other products.


The latest DRAM chip can process images with graphics at speeds up to 1.1 trillion bytes per second, which Samsung declares is the most efficient in the world, and it is equal to processing up to 275 Full HD films in a second.


Graphics DRAM chips can be found in devices that require video and images with high-resolution 3D games, notebooks, personal computers, and other devices that require high-end processors.
Soon, we could see high-end computers, electric cars, high-end computers, and autonomous vehicles that utilize the New DRAM Graphic chip technology, according to Yonhap, the news organization.


Samsung has stated that in the coming years, much artificial intelligence and graphic companies will likely opt for Samsung graphic chips as Samsung has complied with every standard and norm set by JEDEC.
The JEDEC Solid State Technology Association is a semiconductor association responsible for chip standardization.


Samsung said that utilizing the so-called variable voltage scaling the GDDR6 DRAM increases efficiency by nearly 20%.

Taking the lead in the next generation of graphics DRAM market will be Samsung’s objective of mass producing the new graphics chip at an opportune time to meet growing customer demands.
Samsung, the world’s leading memory chip maker, experienced its DRAM sales decline during the first three months of the year’s second quarter