Fundamentals

Understanding No Code Ai For Social Media

For small to medium businesses (SMBs), social media is often seen as a double edged sword. It’s a vital channel for connecting with customers, building brand awareness, and driving growth, yet it demands significant time and resources ● resources that are frequently stretched thin. The promise of automation, particularly through Artificial Intelligence (AI), offers a potential solution. However, the complexity and cost traditionally associated with AI can feel prohibitive.

This is where no-code AI tools Meaning ● AI Tools, within the SMB sphere, represent a diverse suite of software applications and digital solutions leveraging artificial intelligence to streamline operations, enhance decision-making, and drive business growth. become transformative. These platforms democratize AI, making sophisticated technologies accessible without requiring coding expertise or large budgets. For SMBs, this means leveraging the power of AI to streamline social media strategy, enhance efficiency, and achieve measurable results, all while maintaining a lean operational structure.

No-code AI tools empower SMBs to automate social media, bridging the gap between advanced technology and practical business needs.

No-code AI in social media Meaning ● AI in Social Media, for small and medium-sized businesses (SMBs), represents the application of artificial intelligence technologies to automate and enhance various aspects of social media marketing and customer engagement. essentially means utilizing user-friendly platforms with pre-built AI algorithms that automate various tasks. Think of it as plug-and-play AI. Instead of writing complex code to analyze data, generate content, or schedule posts, SMB owners and marketing teams can use intuitive interfaces to achieve the same outcomes. These tools are designed with the user in mind, offering drag-and-drop functionalities, pre-set templates, and guided workflows.

This ease of use is paramount for SMBs where time is a precious commodity and specialized technical skills might not be readily available. By adopting no-code AI, SMBs can level the playing field, competing more effectively with larger organizations that have traditionally dominated the digital space due to their access to advanced technological resources.

Identifying Core Social Media Goals

Before diving into automation, it’s imperative for SMBs to clearly define their social media objectives. Automation without a strategic direction is like driving a high-performance car without a map ● you might move fast, but you’re unlikely to reach your desired destination. For SMBs, social media goals should be directly tied to overall business objectives. Are you aiming to increase brand awareness Meaning ● Brand Awareness for SMBs: Building recognition and trust to drive growth in a competitive market. within your local community?

Are you focused on driving sales through your online store? Or is your primary goal to enhance customer loyalty and build a strong online community around your brand? Clearly defined goals provide the compass for your social media strategy Meaning ● Strategic use of social platforms for SMB growth, leveraging data and AI to enhance customer engagement and business outcomes. and ensure that automation efforts are focused and impactful.

Consider these common social media goals for SMBs:

• Brand Awareness ● Increasing visibility and recognition within your target market.
• Lead Generation ● Capturing potential customer information for future marketing efforts.
• Sales Growth ● Directly driving product or service sales through social media channels.
• Customer Engagement ● Building relationships with customers and fostering a loyal community.
• Website Traffic ● Driving users from social media to your website to learn more or make purchases.
• Customer Support ● Providing timely and efficient customer service Meaning ● Customer service, within the context of SMB growth, involves providing assistance and support to customers before, during, and after a purchase, a vital function for business survival. through social media platforms.
• Reputation Management ● Monitoring and managing your brand’s online reputation.

Each of these goals requires a different approach to content, engagement, and measurement. Automation should be tailored to support these specific objectives. For example, if your primary goal is lead generation, your automation strategy might focus on tools that facilitate lead capture through social media ads or interactive content. If customer engagement is key, automation could involve using AI-powered chatbots to respond to inquiries promptly and personalize interactions.

Selecting User Friendly No Code Ai Platforms

The no-code AI Meaning ● No-Code AI signifies the application of artificial intelligence within small and medium-sized businesses, leveraging platforms that eliminate the necessity for traditional coding expertise. landscape is rapidly expanding, offering a plethora of tools designed for various social media tasks. For SMBs, the key is to select platforms that are not only powerful but also genuinely user-friendly and aligned with their specific needs and technical capabilities. Choosing the right platform involves evaluating several factors, including ease of use, features offered, integration capabilities with existing tools, pricing structure, and customer support.

It’s also beneficial to consider platforms that offer free trials or freemium versions, allowing SMBs to test the waters before committing to a paid subscription. Prioritize platforms with intuitive interfaces, comprehensive tutorials, and readily available customer support resources.

Here are some categories of no-code AI tools relevant to social media automation Meaning ● Social Media Automation for SMBs: Strategically using tech to streamline social media, boost efficiency, and drive growth while maintaining human connection. for SMBs:

1. Content Creation Tools ● AI-powered platforms that assist in generating social media posts, captions, and even visual content like images and short videos.
2. Scheduling and Publishing Tools ● Platforms that automate the process of scheduling and posting content across multiple social media channels at optimal times.
3. Analytics and Reporting Tools ● AI-driven analytics dashboards that provide insights into social media performance, audience behavior, and content effectiveness.
4. Engagement and Community Management Tools ● Tools that automate tasks like responding to comments, messages, and mentions, and help manage online communities.
5. Social Listening Tools ● Platforms that monitor social media conversations for brand mentions, industry trends, and competitor activities.
6. Advertising and Campaign Management Tools ● AI-powered tools that optimize social media advertising campaigns for better targeting, ad copy, and budget allocation.

When selecting platforms, consider the following table comparing key features and suitability for different SMB needs:

Start with one or two tools that address your most pressing social media challenges. For instance, if content creation Meaning ● Content Creation, in the realm of Small and Medium-sized Businesses, centers on developing and disseminating valuable, relevant, and consistent media to attract and retain a clearly defined audience, driving profitable customer action. is a bottleneck, explore AI content Meaning ● AI Content, in the SMB (Small and Medium-sized Businesses) context, refers to digital material—text, images, video, or audio—generated, enhanced, or optimized by artificial intelligence, specifically to support SMB growth strategies. generation platforms. If consistent posting is an issue, focus on scheduling tools. Gradually expand your toolkit as you become more comfortable and identify further automation opportunities.

Setting Up Initial Automation Workflows

The initial steps in automating social media strategy should focus on establishing foundational workflows that deliver immediate value and build confidence in no-code AI. Start with automating repetitive, time-consuming tasks that are essential for social media management but don’t necessarily require constant human intervention. Content scheduling is an excellent starting point.

By batch-creating social media posts for the week or month ahead and scheduling them to publish automatically, SMBs can ensure consistent online presence without the daily scramble for content. This frees up time for more strategic activities like engaging with followers and analyzing performance data.

Begin automation by streamlining repetitive tasks like content scheduling to free up resources for strategic social media activities.

Another impactful initial workflow is setting up basic social listening Meaning ● Social Listening is strategic monitoring & analysis of online conversations for SMB growth. alerts. Use no-code AI tools to monitor social media for mentions of your brand name, relevant keywords, or industry topics. This allows you to stay informed about online conversations related to your business, identify potential customer issues or opportunities, and proactively engage in relevant discussions. Start with simple keyword monitoring and gradually refine your listening strategy as you become more comfortable with the tools and insights they provide.

For example, a local bakery aiming to increase brand awareness could implement these initial automation workflows:

• Weekly Content Scheduling ● Use a no-code scheduling tool to plan and schedule posts showcasing daily specials, customer testimonials, and seasonal promotions across Instagram and Facebook for the upcoming week.
• Brand Mention Monitoring ● Set up alerts to track mentions of “Bakery Name” and related keywords like “best pastries,” “local cakes,” or “coffee shop near me” on Twitter and Instagram.
• Automated Welcome Messages ● Configure automated direct messages on Instagram to greet new followers and offer a discount code for their first purchase.

These initial workflows are relatively simple to set up and manage, yet they can significantly improve efficiency and consistency in social media efforts. They also provide a valuable learning experience, allowing SMBs to understand how no-code AI tools work and identify further opportunities for automation as their social media strategy evolves.

Intermediate

Enhancing Content Creation With Ai Assistance

Once SMBs have grasped the fundamentals of no-code AI for social media, the next step is to leverage these tools to enhance content creation. Moving beyond basic scheduling, intermediate strategies focus on using AI to generate more engaging and effective content, optimizing for different platforms, and personalizing the user experience. AI-powered content creation tools can assist with various aspects of content development, from brainstorming ideas and generating compelling captions to creating visually appealing graphics and short-form videos. These tools are not intended to replace human creativity entirely but rather to augment it, providing SMBs with resources to overcome content creation bottlenecks and produce higher-quality social media assets more efficiently.

Intermediate automation leverages AI to enhance content quality and efficiency, moving beyond basic scheduling to creative assistance.

Consider using AI to:

• Generate Content Ideas ● Input keywords related to your industry or target audience, and AI tools can suggest relevant social media post topics, trending hashtags, and content formats.
• Write Engaging Captions ● Provide a brief description of your post, and AI can generate multiple caption options with varying tones and styles, optimized for different platforms.
• Create Visual Content ● Some no-code AI platforms offer features to generate basic graphics, resize images for different social media dimensions, or even create short animated videos from templates.
• Repurpose Content ● AI can help repurpose existing content, such as blog posts or website articles, into social media snippets, quote cards, or infographic elements.
• Optimize Content for Platforms ● AI tools can provide suggestions on tailoring content for specific platforms, considering character limits, image ratios, and audience preferences on each platform.

For example, a fitness studio aiming to promote its online classes could use AI content creation tools in the following ways:

• Idea Generation ● Use an AI tool to generate content ideas around “home workouts,” “fitness tips,” “yoga for beginners,” and “healthy recipes” to keep their social media feed fresh and relevant.
• Caption Enhancement ● Use AI to refine captions for workout videos, making them more engaging with calls to action, relevant emojis, and platform-optimized hashtags.
• Visual Content Creation ● Utilize AI-powered design tools to create eye-catching promotional graphics for new class schedules or special offers, even with limited design skills.

By integrating AI assistance into the content creation process, SMBs can overcome common challenges like content fatigue, lack of creative inspiration, and time constraints. This leads to a more consistent flow of high-quality, engaging content that resonates with their target audience and drives better social media results.

Implementing Ai Powered Engagement Strategies

Beyond content creation, no-code AI tools offer significant opportunities to enhance social media engagement. In the intermediate phase, SMBs can move beyond basic community management to implement more proactive and personalized engagement strategies powered by AI. This includes using AI to understand audience sentiment, personalize interactions, automate responses to common inquiries, and even identify potential brand advocates. Effective engagement is crucial for building strong relationships with followers, fostering a loyal community, and ultimately driving conversions from social media interactions.

AI-powered engagement strategies enable SMBs to personalize interactions, automate responses, and proactively build community relationships.

Intermediate AI-powered engagement strategies include:

• Sentiment Analysis ● Utilize AI tools to analyze the sentiment of comments, messages, and mentions related to your brand. This helps identify positive feedback, negative issues, and areas for improvement in customer perception.
• Personalized Responses ● While fully automated personalized responses are complex, AI can assist in segmenting your audience based on their interests or past interactions, allowing for more targeted and relevant messaging.
• Automated FAQ Responses ● Set up AI-powered chatbots or auto-responders to address frequently asked questions (FAQs) on social media channels. This provides instant support to customers and frees up human agents for more complex inquiries.
• Proactive Engagement Triggers ● Configure AI tools to identify specific triggers for proactive engagement, such as when a user mentions a competitor, asks for recommendations in your niche, or expresses interest in a particular product or service.
• Identify Brand Advocates ● AI can help identify users who consistently engage positively with your brand, share your content, and recommend you to others. These brand advocates can be nurtured through special offers or personalized interactions.

Consider a restaurant using AI to enhance its social media engagement:

• Sentiment Monitoring ● Use an AI social listening tool to monitor customer reviews and comments on platforms like Yelp, Google My Business, and social media, identifying trends in customer sentiment towards specific dishes or services.
• Automated Reservation Responses ● Implement an AI chatbot on Facebook Messenger to handle basic reservation inquiries, check table availability, and guide users through the booking process.
• Proactive Engagement with Foodie Hashtags ● Set up alerts to identify users posting with local foodie hashtags and proactively engage with their posts, inviting them to try the restaurant.

By implementing these AI-powered engagement strategies, SMBs can move beyond reactive community management to proactive relationship building. This leads to increased customer satisfaction, stronger brand loyalty, and ultimately, a more engaged and valuable social media audience.

Leveraging Ai For Data Driven Optimization

The true power of AI in social media strategy emerges when SMBs begin to leverage it for data-driven optimization. Intermediate automation moves beyond simply collecting data to actively using AI-powered analytics to understand social media performance, identify trends, and make informed decisions to improve results. No-code AI analytics Meaning ● AI Analytics, in the context of Small and Medium-sized Businesses (SMBs), refers to the utilization of Artificial Intelligence to analyze business data, providing insights that drive growth, streamline operations through automation, and enable data-driven decision-making for effective implementation strategies. tools provide SMBs with accessible dashboards and reports that visualize key metrics, highlight areas of success and underperformance, and even predict future trends. This data-driven approach allows for continuous improvement and ensures that social media efforts are aligned with business goals and delivering a strong return on investment (ROI).

Data-driven optimization using AI analytics transforms social media from intuition-based to a measurable, ROI-focused strategy.

Key areas for data-driven optimization Meaning ● Leveraging data insights to optimize SMB operations, personalize customer experiences, and drive strategic growth. using AI analytics include:

• Content Performance Analysis ● Use AI analytics to identify which types of content resonate most with your audience, based on metrics like engagement rate, reach, and click-through rates. Understand what topics, formats, and posting times are most effective.
• Audience Segmentation and Insights ● AI can analyze audience demographics, interests, and behaviors to identify key segments and understand their preferences. This informs content targeting and personalization strategies.
• Campaign Performance Tracking ● For social media advertising campaigns, AI analytics provides real-time tracking of key performance indicators (KPIs) like cost per click (CPC), conversion rates, and ROI. Identify underperforming ads and optimize campaigns for better results.
• Competitor Analysis ● Some AI analytics tools offer competitor analysis features, allowing you to track competitor performance, identify their top-performing content, and understand their social media strategies.
• Predictive Analytics ● Advanced AI analytics can predict future trends in social media performance, based on historical data and current patterns. This helps SMBs anticipate changes and proactively adjust their strategies.

Consider an e-commerce SMB using AI analytics to optimize its social media strategy:

• Product Performance Analysis ● Use AI analytics to track social media engagement Meaning ● Social Media Engagement, in the realm of SMBs, signifies the degree of interaction and connection a business cultivates with its audience through various social media platforms. and website traffic for different product categories. Identify top-performing products on social media and focus content and advertising efforts on these items.
• Audience Interest Segmentation ● Analyze audience data to identify segments interested in specific product types (e.g., “eco-friendly products,” “luxury goods”). Create targeted content and ad campaigns for each segment.
• A/B Testing Ad Creatives ● Use AI analytics to track the performance of different ad creatives (images, ad copy) in A/B tests. Identify the most effective ad elements and optimize future campaigns accordingly.

By embracing data-driven optimization, SMBs can transform their social media strategy from an intuition-based approach to a measurable, ROI-focused activity. AI analytics provides the insights needed to continuously refine content, engagement, and advertising efforts, ensuring that social media investments are delivering maximum impact and contributing directly to business growth.

Advanced

Personalized Customer Journeys With Ai

For SMBs ready to push the boundaries of social media automation, advanced strategies center on creating personalized customer journeys Meaning ● Tailoring customer experiences to individual needs for stronger SMB relationships and growth. powered by AI. This moves beyond broad audience segmentation to individualized experiences, tailoring content, interactions, and offers to each user based on their unique preferences, behaviors, and stage in the customer lifecycle. No-code AI tools are now capable of facilitating sophisticated personalization at scale, enabling SMBs to build deeper relationships with customers, increase engagement, and drive higher conversion rates. This level of personalization was once the domain of large enterprises with extensive resources, but it is now within reach for SMBs through the power of accessible AI.

Advanced automation leverages AI to create personalized customer journeys, tailoring experiences to individual user preferences and lifecycle stages.

Key components of personalized customer journeys Meaning ● Customer Journeys, within the realm of SMB operations, represent a visualized, strategic mapping of the entire customer experience, from initial awareness to post-purchase engagement, tailored for growth and scaled impact. with AI include:

• Dynamic Content Personalization ● AI tools can dynamically adjust social media content based on user data. This could involve showing different product recommendations, tailored ad creatives, or personalized content Meaning ● Tailoring content to individual customer needs, enhancing relevance and engagement for SMB growth. feeds based on past interactions and preferences.
• Behavioral Triggered Messaging ● Set up automated messages triggered by specific user behaviors on social media or your website. For example, send a personalized welcome message to new followers, offer a discount code to users who abandon their shopping cart on your website after clicking through from social media, or send birthday greetings with a special offer.
• Predictive Customer Service ● AI can analyze customer data Meaning ● Customer Data, in the sphere of SMB growth, automation, and implementation, represents the total collection of information pertaining to a business's customers; it is gathered, structured, and leveraged to gain deeper insights into customer behavior, preferences, and needs to inform strategic business decisions. to predict potential customer service issues or needs. Proactively reach out to users who may be experiencing difficulties or offer personalized support based on their past interactions.
• Personalized Ad Retargeting ● Use AI-powered ad platforms to create highly personalized retargeting campaigns based on user behavior. Show ads for products users have previously viewed, offer dynamic product recommendations based on their browsing history, or personalize ad copy based on their interests.
• Multi-Channel Journey Orchestration ● Integrate AI across multiple channels (social media, email, website, etc.) to create seamless and consistent personalized experiences. Ensure that messaging and offers are coordinated across different touchpoints based on the user’s journey.

Consider a boutique clothing store implementing personalized customer journeys with AI:

• Personalized Product Recommendations ● Use AI to analyze customer purchase history and browsing behavior to show personalized product recommendations in social media ads and content. A user who previously purchased dresses might see ads featuring new dress arrivals or related accessories.
• Abandoned Cart Retargeting with Dynamic Offers ● Implement AI-powered retargeting ads that trigger when a user abandons a shopping cart after clicking through from social media. The ads could dynamically display the items left in their cart and offer a personalized discount to encourage completion of the purchase.
• Birthday Discount Automation ● Integrate customer data with social media automation to automatically send birthday greetings and a personalized discount code to customers on their birthday via direct message.

Creating personalized customer journeys with AI requires careful planning and data integration, but the rewards are significant. SMBs can achieve higher engagement rates, improved customer loyalty, increased conversion rates, and a more differentiated brand experience in a competitive social media landscape.

Ai Powered Social Listening And Trend Forecasting

Advanced social media strategy leverages AI not just for reactive monitoring but for proactive social listening and trend forecasting. This goes beyond simply tracking brand mentions to using AI to understand broader industry trends, anticipate shifts in consumer sentiment, and identify emerging opportunities. No-code AI social listening tools are becoming increasingly sophisticated, capable of analyzing vast amounts of social media data to extract actionable insights, predict future trends, and inform strategic decision-making. For SMBs, this means staying ahead of the curve, adapting quickly to changing market dynamics, and capitalizing on emerging opportunities before competitors.

AI-powered social listening moves beyond brand monitoring to proactive trend forecasting, enabling SMBs to anticipate market shifts and opportunities.

Advanced applications of AI-powered social listening and trend forecasting Meaning ● Trend Forecasting, within the purview of Small and Medium-sized Businesses (SMBs), is the strategic process of anticipating future market shifts and consumer behaviors to inform business decisions related to growth, automation implementation, and overall strategic direction. include:

• Emerging Trend Identification ● Use AI to analyze social media conversations and identify emerging trends in your industry, related keywords, and trending hashtags. This allows you to proactively create content and campaigns that capitalize on these trends.
• Sentiment Trend Analysis ● Track changes in public sentiment towards your brand, your industry, or specific topics over time. Identify shifts in sentiment and understand the underlying drivers, allowing you to address potential issues or capitalize on positive trends.
• Competitive Landscape Analysis ● Use AI to monitor competitor activities, track their social media performance, and identify their strengths and weaknesses. Understand their strategies and identify opportunities to differentiate your brand.
• Crisis Detection and Management ● AI can detect early signs of potential social media crises by identifying spikes in negative sentiment or mentions related to your brand. This allows for timely intervention and proactive crisis management.
• Predictive Market Research ● Leverage social listening data as a form of real-time market research. Analyze social media conversations to understand consumer needs, preferences, and pain points, informing product development, marketing strategies, and overall business decisions.

Consider a coffee shop chain using AI for advanced social listening and trend forecasting:

• Trend Spotting in Coffee Preferences ● Use AI to analyze social media conversations about coffee, identifying emerging trends like “cold brew popularity,” “plant-based milk alternatives,” or “sustainable coffee sourcing.” Inform menu innovation and marketing campaigns based on these trends.
• Sentiment Analysis on Competitor Brands ● Track public sentiment towards competitor coffee chains, identifying areas where they are perceived positively or negatively. Identify opportunities to differentiate their brand based on competitor weaknesses or unmet customer needs.
• Early Crisis Detection for Customer Service Issues ● Set up AI alerts to detect spikes in negative mentions related to “long wait times,” “order errors,” or “rude staff” across social media and review platforms. Proactively address these issues and improve customer service processes.

By embracing AI-powered social listening and trend forecasting, SMBs can transform their social media strategy from reactive to proactive and predictive. This enables them to stay ahead of the curve, anticipate market changes, make data-driven strategic decisions, and gain a significant competitive advantage in the dynamic social media landscape.

Integrating Ai Across Marketing And Sales Funnels

The most advanced application of no-code AI in social media strategy involves seamless integration across the entire marketing and sales funnel. This moves beyond siloed social media activities to a holistic approach where AI powers every stage of the customer journey, from initial awareness and engagement to conversion and customer retention. By integrating AI across marketing and sales, SMBs can create a cohesive and efficient system that maximizes the impact of social media efforts and drives measurable business results. This requires a strategic approach to data integration, workflow automation, and cross-functional collaboration, but the potential for increased efficiency, improved customer experience, and accelerated growth is substantial.

Advanced integration of AI across marketing and sales funnels creates a holistic, efficient system for maximizing social media impact and business results.

Key areas for integrating AI across marketing and sales funnels include:

• AI-Driven Lead Generation from Social Media ● Use AI tools to identify and qualify leads directly from social media interactions. Automate lead capture processes through chatbots, interactive content, and targeted ad campaigns. Score leads based on their engagement and behavior to prioritize sales efforts.
• Personalized Lead Nurturing Meaning ● Lead nurturing for SMBs is ethically building customer relationships for long-term value, not just short-term sales. via Social Channels ● Implement AI-powered lead nurturing Meaning ● AI-Powered Lead Nurturing, for SMBs, represents the strategic application of artificial intelligence to automate and optimize the process of engaging and guiding potential customers through the sales funnel. sequences that deliver personalized content and offers to leads through social media channels. Tailor messaging based on lead interests, engagement history, and stage in the sales funnel.
• Social Selling with AI Assistance ● Equip sales teams with AI-powered tools to facilitate social selling. Provide insights into prospect social media profiles, automate personalized outreach messages, and track social selling activities.
• AI-Powered Customer Onboarding and Support via Social Media ● Use AI chatbots to provide instant onboarding support to new customers through social media channels. Automate responses to common customer service inquiries and proactively address potential issues.
• Customer Retention and Loyalty Programs Enhanced by AI ● Leverage AI to analyze customer data and identify opportunities for personalized retention and loyalty programs. Offer tailored rewards, exclusive content, and proactive engagement Meaning ● Proactive Engagement, within the sphere of Small and Medium-sized Businesses, denotes a preemptive and strategic approach to customer interaction and relationship management. to retain valuable customers acquired through social media.

Consider a SaaS SMB integrating AI across its marketing and sales funnel:

• AI Chatbot for Lead Qualification ● Implement an AI chatbot on LinkedIn and Twitter to engage with users who express interest in SaaS solutions. The chatbot qualifies leads by asking relevant questions and automatically routes qualified leads to the sales team.
• Personalized Content Nurturing on LinkedIn ● Set up AI-powered lead nurturing campaigns on LinkedIn that deliver personalized content (e.g., industry articles, case studies, product demos) to leads based on their industry and job role.
• Social Selling Insights for Sales Team ● Provide the sales team with an AI-powered social selling tool that provides insights into prospect LinkedIn profiles, recommends personalized connection requests, and tracks social selling engagement.
• AI-Powered Onboarding via Twitter DM ● Use an AI chatbot to send automated onboarding messages to new customers via Twitter direct message, providing step-by-step guides and answering frequently asked questions.

Integrating AI across the marketing and sales funnel represents the pinnacle of social media automation for SMBs. This holistic approach maximizes efficiency, enhances customer experience, and drives significant business growth by transforming social media from a standalone marketing channel into a fully integrated engine for customer acquisition, engagement, and retention.

References

• Kotler, P., & Armstrong, G. (2021). Principles of Marketing (18th ed.). Pearson Education.
• Solomon, M. R. (2020). Consumer Behavior ● Buying, Having, and Being (13th ed.). Pearson Education.
• Tuten, T. L., & Solomon, M. R. (2018). Social Media Marketing (3rd ed.). SAGE Publications.