Tag Archive for: AI Marketing

Elevate Audience Targeting with Google Ads

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As your trusted certified Google Partner for nearly two decades, Onimod Global understands Google Ads remains one of the most powerful tools for businesses to reach their ideal audience. Nearly half (46%) of all Google searches are local, meaning people often look for businesses, services, or products nearby. However, running ads without strategic audience targeting can lead to wasted ad spend and suboptimal results.

Effective audience targeting is the key to ensuring your ad dollars are well spent, helping you connect with the right users at the right time. In this blog, we’ll explore how you can elevate your audience targeting with Google Ads to maximize conversions, increase ROI, and drive meaningful engagement. Here’s what you need to know.

Understanding Google Ads Audience Targeting

Google Ads

Google Ads offers multiple audience targeting options, allowing advertisers to segment users based on interests, behaviors, demographics, and intent. By refining your targeting strategy, you can help ensure that your ads are displayed to users most likely to convert.

Google’s audience targeting capabilities can be categorized into:

  • Affinity Audiences – Users grouped based on long-term interests and behaviors.
  • In-Market Audiences – People actively searching for or researching products/services.
  • Custom Audiences – Advertisers create audiences based on search behavior, website visits, or app interactions.
  • Demographic Targeting – Filtering audiences by age, gender, income, parental status, etc.
  • Customer Match – Use first-party data, such as email lists, to reach specific customers.
  • Remarketing Audiences – Targeting users who have previously visited your site or engaged with your content.
  • Lookalike (Similar) Audiences – Expanding reach to new users similar to existing high-value customers.

Each targeting option offers unique benefits depending on your campaign objectives, whether driving brand awareness, generating leads, or increasing sales. Let’s take a closer look at tips for elevating your audience targeting with Google Ads.

Google Ads

1. Leveraging Custom Audiences for Precision Targeting

Custom Audiences allow advertisers to tailor targeting based on specific keywords, URLs, apps, or interests. This helps brands connect with users showing intent rather than relying solely on broad affinity groups.

How to Use Custom Audiences Effectively:

  • Keyword-Based Targeting: Use keywords from search queries related to your business to help create audience segments.
  • URL Targeting: Enter competitors’ websites or industry-specific pages to target users with relevant interests.
  • App-Based Targeting: Target users who engage with specific apps related to your industry.

By refining audience creation, businesses can ensure that ads reach users more likely to convert.

2. Expanding Reach with Lookalike (Similar) Audiences

Lookalike audiences, or Similar Audiences, are generated by Google Ads using machine learning to find users similar to your existing customers. This is particularly useful for scaling campaigns while maintaining high relevance.

Best Practices for Lookalike Targeting:

  • Use High-Quality Source Data: The better your original audience data (such as past purchasers), the more effective Similar Audiences will be.
  • Segment by Behavior: Create lookalike audiences based on high-value actions such as completed purchases or form submissions.
  • Test Audience Sizes: Start with smaller audience groups for better accuracy, then expand gradually.

3. Engaging Past Visitors with Remarketing

Google Ads

Remarketing, also known as retargeting, is a digital marketing strategy that helps businesses reconnect with people who have previously visited their website or social media. This strategy allows you to stay top-of-mind and encourage return visits.

Remarketing Tactics to Implement:

  • Standard Remarketing: Shows ads to past website visitors as they browse Google Display Network sites.
  • Dynamic Remarketing: Displays personalized ads based on user’s previous interactions with your products or services.
  • Remarketing Lists for Search Ads (RLSA): Adjust search bids for users who have visited your site before, increasing the likelihood of conversions.

Remarketing can significantly boost conversion rates by re-engaging potential customers already familiar with your brand.

4. Capitalizing on In-Market Audiences for Purchase Intent

In-market audiences help advertisers reach users actively researching or considering purchasing specific products or services. Google categorizes these users based on recent browsing behavior, making them prime candidates for conversion-focused campaigns.

Implementing In-Market Audiences:

  • Identify High-Intent Categories: Use Google’s pre-defined in-market segments that align with your offerings.
  • Combine with Remarketing: Layer in-market targeting with remarketing lists for increased conversion potential.
  • Adjust Bidding Strategies: Allocate higher bids to in-market users to maximize engagement with high-intent audiences.

You can drive immediate results by targeting users already showing strong purchase intent.

5. Personalizing Campaigns with Customer Match Targeting

Google Ads

Demographic targeting lets you refine your audience based on age, gender, income level, parental status, etc. Combined with Customer Match, which uses first-party data (such as email lists or CRM data), it becomes a powerful tool for hyper-targeted advertising.

Best Practices for Using Demographics and Customer Match:

  • Segment by Demographics: Exclude irrelevant groups and focus on your ideal customer profile.
  • Use First-Party Data: Upload email lists to re-engage existing customers across search, shopping, and YouTube ads.
  • Personalize Ad Messaging: Tailor ad copy based on demographic insights for improved performance.

This approach enhances relevancy and increases the likelihood of conversions by targeting users with personalized messaging.

6. Optimizing Google Ads with AI-Driven Audience Signals

Google Ads’ AI-powered audience signals help advertisers automate and refine targeting by analyzing real-time user behavior. Smart Bidding strategies leverage AI to adjust bids dynamically based on the likelihood of conversion.

AI-Driven Optimization Tips:

  • Use Smart Bidding: Enable Target CPA (Cost-Per-Acquisition) or Target ROAS (Return on Ad Spend) to optimize bids automatically.
  • Leverage Predictive Analytics: Google’s machine learning analyzes user behavior to predict which audiences are more likely to convert.
  • Continuously Test and Adapt: AI-driven targeting constantly evolves, so regularly analyze performance data and make necessary adjustments.

Final Thoughts

At Onimod Global, we are proud to be a Google Partner, a designation recognizing our expertise in managing Google Ads campaigns with proven success. From search and display ads to YouTube and Performance Max campaigns, we leverage cutting-edge tools, audience insights, and AI-driven bidding strategies to help ensure your ads reach the right audience at the right time. 

If you need expert guidance in optimizing your Google Ads strategy, our team of Google experts can help you find data-driven marketing solutions that maximize ROI. Onimod Global is here to help you refine your targeting and achieve your digital advertising goals.

Contact us today, and let us help you elevate your Google Ads strategy.

FAQs on Google Ads Audience Targeting

How do I determine which audience targeting option is best for my business?
It depends on your goals. If you’re focused on brand awareness, Affinity Audiences work well. For conversion-driven campaigns, In-Market Audiences and Remarketing are effective. Custom Audiences are ideal for businesses wanting more control over targeting. Our Google-certified experts will analyze your business objectives, industry trends, and customer data to develop a customized audience targeting strategy that maximizes your ad spend and delivers the best results.

Can I use multiple audience targeting methods in the same campaign?
Layering multiple targeting methods, such as demographic filters with in-market or remarketing audiences, can help improve ad performance and relevance. Our data-driven approach helps fine-tune your audience segments for potential conversions.

What’s the difference between remarketing and Similar Audiences?
Remarketing targets users who have interacted with your brand, while Similar Audiences find new users who share characteristics with your existing customers. Our team fine-tunes ad messaging and bidding strategies to help ensure your campaigns convert effectively.

How often should I update my audience lists?
Regular updates are crucial. Refreshing Customer Match lists, testing new Custom Audience segments, and analyzing in-market trends can keep your targeting relevant and effective. Whether refining retargeting strategies or updating lookalike audiences, we help your business stay ahead of competitors.

Does audience targeting affect Quality Score in Google Ads?
Audience targeting doesn’t impact the Quality Score but can improve click-through rates (CTR) and conversion rates, contributing to better ad performance and lower costs. Our team continuously optimizes campaigns to help you get the best results for your budget.

Disclaimer: This blog post is for informational purposes only and does not constitute financial or marketing advice. Audience targeting results may vary based on industry, budget, and ad strategy. Work with the certified Google Ads experts at Onimod Global for personalized campaign optimization.

Amazon’s AI Revolution: A Game Changer in the AI Race?

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Amazon is making its boldest move in artificial intelligence with the upcoming launch of advanced reasoning AI under its Nova brand. Set for release in June 2025, this AI model is designed to challenge the dominance of OpenAI, Anthropic, and Google in the rapidly evolving AI landscape.

With Nova AI’s hybrid reasoning capabilities, aggressive pricing strategy, and deep integration with AWS, Amazon isn’t just competing with existing AI leaders—it’s positioning itself as a dominant force in the AI revolution. Here’s what you need to know about Amazon’s biggest AI play and what it could mean for businesses, marketers, and the future of AI-driven technology.

A Strategic Shift in Amazon’s AI Playbook

Amazon

For years, Amazon has supported AI development, investing in promising AI firms rather than building its own models. One of its biggest moves in this space was an investment of $8 billion in Anthropic, a leading AI research company. However, the launch of Nova AI marks a clear departure from this approach—Amazon is no longer just backing AI. It’s building it.

By developing its own AI infrastructure, Amazon is taking a step toward greater independence in the AI space. This shift isn’t just about innovation—it’s about control. Instead of relying on third-party partnerships, Amazon is positioning itself to compete directly with AI leaders while strengthening its ecosystem.

This move could have major implications for AWS, specifically in integrating Nova AI into Amazon Web Services. It could provide businesses with access to powerful AI-driven solutions at scale—potentially bundled with AWS cloud services. Given AWS’s dominance in cloud computing, this integration could make Amazon a formidable player in enterprise AI solutions, further solidifying its position as a leader in both AI and cloud technology. Let’s take a deeper look at what this entails.

Hybrid Reasoning: The Future of Smarter AI

Amazon’s Nova AI model will integrate hybrid reasoning capabilities. This feature blends rapid response generation with complex multi-step problem-solving. This approach mirrors recent advancements in Anthropic’s Claude 3.7 Sonnet, which leverages deeper contextual understanding for more nuanced decision-making.

AI models will soon deliver more precise and sophisticated answers for businesses and marketers, making AI-powered customer support, automation, and content generation significantly more efficient.

Imagine chatbots that don’t just provide generic responses but can understand complex inquiries, solve multi-layered problems, and provide more tailored solutions—a major leap in AI-powered marketing.

Amazon

Competing on Cost & Performance

One of Amazon’s most intriguing plays in this space is its aggressive pricing strategy. With the rise of ultra-low-cost models like DeepSeek, Amazon is looking to undercut its competitors while still delivering premium AI capabilities.

The goal? To rank among the top five AI models, promising a balance of affordability and high-quality performance. This move could make advanced AI more accessible to businesses, allowing startups, agencies, and enterprises to leverage cutting-edge AI without breaking the bank.

For digital marketers, this could mean access to more cost-effective AI-driven advertising solutions, enhanced content creation tools, and data analysis capabilities while maintaining a lower overhead.

Amazon’s AI-Powered Alexa+

Beyond Nova, Amazon is also working on Alexa+, an upgraded version of its AI-powered assistant. This suggests that Amazon plans to redefine voice AI, offering a more contextually aware, intelligent, and responsive assistant to handle more complex queries and tasks.

For digital marketers and e-commerce brands, this evolution could lead to more personalized and dynamic customer interactions. From voice-powered shopping to AI-driven customer service enhancements. If Alexa+ successfully integrates Amazon Nova’s AI reasoning model, it could become a serious competitor to Apple’s Siri, Google Assistant, and even OpenAI’s ChatGPT-powered assistants.

How Onimod Global Can Help Your Business Leverage AI

Amazon

At Onimod Global, our AI and data-driven agency understands that machine learning is revolutionizing marketing, but technology alone isn’t enough. The key to success is to balance AI-driven efficiency with human creativity and strategic insight. AKA, the ‘human touch’.

As AI evolves, businesses must adapt to stay ahead—but automation should never replace authentic engagement. That’s why we combine the power of AI with a human-first approach to help your marketing strategies remain effective, relatable, and results-driven.

Here’s how Onimod Global can help your business thrive in this AI-powered future:

  • AI-Powered Advertising Solutions: Optimize PPC campaigns with AI-driven bidding strategies and Leverage AI for real-time ad performance analysis.
  • AI-Driven Data Analytics: Gain deeper insights into customer behavior, trends, and engagement metrics.
  • AI-Enhanced Content Marketing: Create highly personalized email campaigns that combine AI’s data-driven insights with human-crafted messaging that resonates.

Final Thoughts

With AI becoming a key driver of marketing efficiency, businesses that fail to integrate AI-driven strategies risk falling behind. This shift presents game-changing opportunities for businesses and marketers to integrate smarter AI into their operations. But automation shouldn’t replace strategy, emotion, or connection—which is why Onimod Global ensures your campaigns are data-driven yet deeply human.

At Onimod Global, we help businesses like yours leverage AI correctly—enhancing automation while keeping a personalized, strategic, and creative approach at the core. Whether you want to automate your campaigns, optimize your PPC strategy, or enhance content marketing with AI, we’re here to help.

Contact us today to learn how AI can transform your business.

Frequently Asked Questions: Amazon AI

What is Amazon Nova AI, and how does it compare to ChatGPT?

Amazon Nova AI is an advanced reasoning AI model designed to compete with ChatGPT, Claude, and Google’s Gemini models. Unlike ChatGPT, Nova aims to integrate hybrid reasoning capabilities, making it more adept at multi-step problem-solving and complex queries.

How will Amazon’s AI impact digital marketing?

Amazon’s AI will likely enhance voice search, advertising automation, and AI-driven content generation. This could potentially help businesses create more personalized and data-driven marketing campaigns.

What does this mean for AI pricing?

Amazon plans to undercut competitors on pricing, making high-quality AI more affordable. This could lower costs for businesses looking to integrate AI into their marketing strategies.

How can businesses prepare for Amazon’s AI advancements?

Businesses can start by exploring AI-powered marketing tools, automating workflows, and optimizing their content for AI-driven search engines. Partnering with a digital marketing agency like Onimod Global can help you stay ahead of these AI trends.

Disclaimer: This article is for informational purposes only and does not constitute financial, investment, or business advice. AI developments are rapidly evolving, and businesses should conduct their research before making decisions based on emerging technologies. For more information, contact the digital marketing professionals at Onimod Global today.

How Marketers are Leveraging AI on Mobile

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Gone are the days of one-size-fits-all campaigns—AI now empowers businesses to harness data-driven insights, enabling real-time, personalized messaging that truly resonates. But to truly achieve maximum results, businesses must blend AI’s capabilities with human creativity to craft messaging that connects on a deeper level. This synergy allows brands to build meaningful relationships, ensuring every interaction feels personal and impactful.

Mobile devices are indispensable in our daily lives, making them an ideal platform for marketers to connect with audiences anytime, anywhere. Thanks to continuous advancements in artificial intelligence (AI), mobile marketing has experienced a revolutionary shift. In this blog, we’ll dive into how AI transforms mobile marketing, offering marketers new ways to understand customer behavior and create impactful, customized experiences. 

The Growing Role of AI in Mobile Marketing

AI is reshaping mobile marketing strategies by providing new insights and automation capabilities that would be impossible to achieve manually. Artificial intelligence is helping brands deliver more targeted messages, improve customer interactions, and optimize marketing spend. It provides these services through real-time recommendations, predictive analytics, or chatbots. Let’s look at how it is changing the game for mobile marketers.

1. Personalization at Scale

Personalization is necessary for marketing and helps marketers deliver highly personalized experiences on mobile devices. By analyzing user data such as browsing history, purchase behavior, and engagement metrics, artificial intelligence can create tailored recommendations and messages for each individual. This level of personalization helps increase customer engagement, conversion rates, and brand loyalty.

  • Dynamic Content: AI enables dynamic content that adjusts based on a user’s behavior and preferences. For example, customers who frequently browse fitness products might receive personalized fitness-related recommendations or offers.
  • Product Recommendations: AI-powered recommendation engines provide relevant product suggestions in real-time, enhancing the mobile shopping experience and increasing cross-sell and upsell opportunities.

2. AI-powered chatbots for Customer Support and Engagement

AI chatbots have become a valuable tool for marketers on mobile platforms. These bots are available 24/7 and can answer questions, provide product recommendations, and guide users through their buying journey, all without human intervention.

  • Instant Customer Service: AI chatbots respond to inquiries instantly, improving customer satisfaction and reducing wait times.
  • Lead Generation: Chatbots can qualify leads by asking relevant questions and gathering user information, making it easier for marketers to follow up with high-potential customers.
  • Enhanced Engagement: With AI chatbots, brands can engage users anytime, helping reduce churn and build stronger customer relationships.

3. Predictive Analytics for Better Targeting

Predictive analytics uses historical data and algorithms to forecast future behaviors and trends, helping marketers on mobile platforms make more informed decisions. With predictive analytics, marketers can anticipate what users will likely do next, allowing for more proactive marketing efforts.

  • Behavioral Targeting: Predictive models can determine when users are most likely to convert or re-engage, allowing marketers to send well-timed messages that drive action.
  • Churn Prevention: By analyzing engagement patterns, AI can identify users at risk of churn, allowing marketers to send retention offers or special promotions to keep them engaged. 67% of marketers believe that increasing the adoption of marketing automation is critical for acquiring and retaining customers.

4. Voice and Visual Search Optimization

With the rise of smart devices, more people are performing searches through voice or images rather than typing. Artificial intelligence enables voice recognition and image analysis, making it easier for mobile users to find what they want:

  • Voice Search: As mobile voice search becomes more popular, AI helps marketers optimize their content to align with conversational language and long-tail keywords, ensuring their brand is visible in voice search results.
  • Visual Search: AI-driven visual search technology lets users snap a photo of a product to find similar items online. Brands can leverage this by enabling mobile users to shop based on images, creating a seamless shopping experience.

5. Ad Targeting and Retargeting

AI enhances mobile ad targeting and retargeting by analyzing user data to create more relevant ads. Using machine learning to understand user preferences, AI can ensure ads are shown to the right audience at the right time on the right platform.

  • Programmatic Advertising: automates ad buying, optimizing ad placement based on audience data and engagement patterns.
  • Retargeting Campaigns: By analyzing previous interactions, AI can target users who visited a website or app but didn’t complete a purchase, encouraging them to return and convert.

Synergy Between AI and Human Creativity

The synergy between AI and human creativity is transforming mobile ad creation, enabling the development of highly personalized, data-driven, and emotionally resonant advertisements. AI’s ability to process vast amounts of data, coupled with its capacity to generate diverse ideas, complements human intuition and emotional intelligence, resulting in ads that truly connect with audiences. This collaboration allows for the rapid exploration of creative possibilities, freeing humans from repetitive tasks and enabling them to focus on the more nuanced and imaginative aspects of their work—where the human touch is irreplaceable.

By using AI as a tool to enhance, not replace, human creativity, businesses can craft powerful, personalized messages and experiences that leave a lasting impact. This harmonious blend of technology and creativity not only boosts efficiency but also enriches the creative process, ensuring that content is both data-driven and emotionally engaging. The result is a more dynamic, meaningful interaction with audiences. Ultimately, the integration of AI and human creativity doesn’t just improve productivity; it elevates the depth and quality of creative expression, fostering deeper connections and more innovative outcomes.

Key Benefits of AI in Mobile Marketing

AI provides mobile marketers with powerful tools to enhance engagement, drive conversions, and improve efficiency. According to surveyed companies, the leading benefit of AI marketing was the increased speed or efficiency of workflows or processes. Here’s a snapshot of the key benefits:

  • 1. Enhanced Customer Experience: AI enables brands to deliver personalized experiences through real-time, data-driven insights. By tailoring content and interactions to individual preferences, AI improves engagement and satisfaction, building brand loyalty.
  • 2. Increased Conversion Rates: Personalization boosts conversion rates by delivering the right messages to the right people. Predictive analytics and behavioral triggers help identify and convert high-potential leads, maximizing campaign impact.
  • 3. Cost Efficiency: According to a recent study, 54% of organizations report that AI provides cost savings and efficiencies. Automated customer support with AI chatbots further reduces costs while enhancing user support.
  • 4. Data-Driven Insights and Improved Decision-Making: AI empowers marketers with real-time analytics and deep insights into customer behaviors and trends. This helps brands make smarter decisions and continuously optimize campaigns for better ROI.
  • 5. Customer Retention and Loyalty: AI-driven insights help identify at-risk customers and engage them with targeted retention strategies. Using predictive models, brands can proactively prevent churn and build lasting customer relationships.

How Onimod Global Can Help

At Onimod Global, we help leverage AI to optimize mobile marketing strategies for businesses of all sizes. Here’s how we can help your brand harness the power of AI on mobile:

  • Voice and Visual Search Optimization: As voice and visual search grow, optimize your mobile content, helping your brand appear in relevant searches and capturing users who prefer alternative search methods.
  • Comprehensive Analytics and Reporting: With advanced analytics tools, we track and analyze campaign performance, giving you insights into what’s working and where improvements can be made. Our transparent reporting keeps you informed on key metrics and ROI.
  • Customized Solutions: Our team assesses your unique marketing goals and implements solutions that align with your business objectives, from dynamic content personalization to predictive analytics.

Final Thoughts

AI is quickly changing mobile marketing by enabling hyper-personalization, efficient customer service, and data-driven insights. By integrating AI with human creativity, marketers can craft personalized, impactful messages that resonate deeply, driving efficiency and fostering a richer creative process.

Ready to take your mobile marketing to the next level? Let our team help you leverage the power of AI on mobile to optimize campaigns and drive results. Contact us today to see how we can help you increase ROI with cutting-edge AI solutions.

How AI is Changing Social Media

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Harnessing the power of AI has become essential for marketers looking to optimize their social media content and campaigns. AI seamlessly integrates into major social media platforms, revolutionizing marketing strategies and driving unparalleled results.

According to The 2023 State of Social Media Report, 97% of business leaders recognize AI’s role in optimizing social media data and insights. This blog will explore the dynamic intersection of social media and AI, offering insights and practical tips to elevate your current marketing approach. Join us as we explore the potential of AI in social media and unlock new opportunities for brand growth and engagement.

What is AI in Social Media?

AI in social media marketing uses machine learning and natural language processing to dissect user data and interactions across social platforms. This empowers marketers to leverage AI tools for tasks such as:

  • Personalization.
  • Content creation.
  • Influencer marketing.
  • Customer service.
  • Advertising.

Such integration promotes data-driven decision-making, helping shape social media strategies. The promise of AI in digital marketing is achieving hyper-personalization to deliver tailored experiences that resonate with individual preferences and needs. Let’s look at each task in more detail and how it can change your marketing strategy.

Content Creation

In the digital landscape, content creation is the bedrock of success. It’s essential for any business or brand striving to leave its mark online. Thanks to AI-powered tools, generating high-quality content has become swift and efficient. Whether crafting catchy captions, composing compelling blog posts, or producing captivating videos, AI algorithms can mimic human creativity and language patterns.

Natural Language Processing (NLP) algorithms and platforms can now analyze user preferences, trending topics, and historical data with precision. This enables the tailoring of content that resonates deeply with target audiences. However, it’s important to acknowledge that while these language models can swiftly produce information, accuracy and relevance may vary, and there’s always a risk of outdated content. It’s always crucial to check the source to avoid this problem.

Influencer Marketing

In the era before social media, brands relied heavily on traditional marketing channels such as print ads and TV commercials. These campaigns often featured iconic characters like Santa Claus for Coca-Cola, aiming to forge emotional connections with consumers. However, with the advent of social media, marketing strategies underwent a natural evolution. Rather than depending solely on fictional characters or celebrity endorsements, brands now tap into the influence of real-life individuals on social media platforms.

Just as consumers once trusted the endorsements of these beloved characters, the authentic recommendations of social media influencers sway today’s audiences. This shift has propelled influencer marketing to the forefront of social media strategies, with brands leveraging popular personalities to promote their products and services. AI algorithms are key in helping analyze an influencer’s reach, engagement, and audience demographics to identify the right fit for specific campaigns.

Furthermore, AI-powered platforms can help predict trends and measure influencer collaborations’ effectiveness, helping brands maximize ROI. This data-driven approach enhances the impact of influencer marketing efforts and optimizes resource allocation for future campaigns.

Personalization

Personalization helps increase user engagement, build loyalty, and improve return on investment. When content resonates personally, users are more likely to engage. Engagement takes shape in the form of clicks, shares, or conversions. A brand that shows it understands its audience establishes trust. Over time, this trust translates into loyalty. Personalized campaigns often see a better return on investment because they target the right people with the right message.

AI algorithms analyze user behavior on social media platforms. This includes the types of posts they engage with, the frequency of their interactions, and the time of day they are most active. AI can suggest personalized content that aligns with the user’s interests and preferences based on this data. For example, if a user frequently interacts with fashion-related content, AI may recommend fashion blogs, influencer posts, or advertisements for clothing brands.

Customer Service

AI-powered chatbots have revolutionized customer service on social media platforms. These chatbots can decipher and adapt to individual user preferences and behaviors. They achieve this using sophisticated algorithms. Chatbots help ensure that each interaction feels unique and catered to the user. Instead of generic responses or predefined scripts, customers are treated to a conversation that mirrors their interests and needs.

This hyper-personalized touch helps enhance the user experience and fosters a deeper connection between the consumer and the brand. When customers feel understood and valued in this manner, it naturally elevates their loyalty to the brand. Over time, this strengthened bond translates into increased sales, as consumers are more inclined to purchase from brands they resonate with and trust.

Advertising

Social media advertising brings many benefits to businesses. Firstly, it can increase a brand’s visibility and recognition. Your brand gets exposed to a diverse audience, fostering recognition and recall. Moreover, social media platforms foster improved customer engagement and loyalty. The conversational nature of social media platforms provides a unique opportunity for brands to build meaningful relationships with their customers.

AI is quickly changing the social media advertising landscape by helping enable brands to target audiences with unprecedented precision and efficiency. Machine learning algorithms analyze user data and behavioral patterns to help optimize real-time ad targeting. By leveraging predictive analytics and A/B testing, advertisers can refine their campaigns and achieve higher ROI. AI-powered ad platforms also offer sophisticated ad formats, such as dynamic product ads and personalized recommendations, to deliver highly relevant and engaging content to users.

Last Thoughts

AI is revolutionizing social media by empowering platforms and brands to enhance their marketing and advertising strategies. As AI continues to evolve, the possibilities for innovation and growth in social media are virtually limitless. As we enter this new era, brands and marketers must be agile and innovative and prioritize the end-user’s experience.

At Onimod Global, we’re excited about the endless possibilities that the future of digital marketing holds. If you want to harness the power of new digital marketing trends for your brand, contact us today.

4 Digital Marketing Trends to Pay Attention to in 2018

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The scope of the digital marketing industry is constantly changing, so being able to adapt to these changing trends is a must. So far in 2017 we have seen new technologies like the IPhone X, Google Home, and other innovative products that continue to change the dynamic of marketing. Listed below are some digital marketing trends that organizations need to watch out for as we approach 2018.

1. Voice Optimization
With technologies like Siri, Google Home, and the Amazon Echo becoming popular, marketers must understand the importance of optimizing content for voice search queries. According to Google, “in 2016 more than 20 percent of online searches were conducted through voice search. And by 2020 that number is expected to increase to 50 percent.” Therefore, with an increasing number of voice searches, optimizing for longer keyword phrases and “conversational language” is an SEO strategy that should be implemented moving forward.

2. Instagram’s Value Increasing
The continued growth of Instagram is a trend that all marketers should be paying attention to. This year Instagram announced that “about 800 million users are active on the platform each month.” They also noted that their updated story feature is now “more popular than Snapchat.” Because of their focus on images/videos and appeal to younger generations, it’s no surprise that this platform continues to gain popularity. Some marketers like Deep Patel even believe that Instagram is “poised to become the go-to channel for brands interested in social media marketing.”

3. Twitter on the Decline
Contrary to Instagram’s continued growth, Twitter is a social media platform that has seen a decline in activity so far in 2017. It appears as if Twitter has put little effort towards their advertising platform compared to their wants of acquiring more users. Moreover, advertisers have allocated more time and money to other social media platforms like Facebook, Instagram, and Snapchat as a result. In the end, this trend of decline is expected to continue for Twitter and according to Patel, Twitter is “dying a quiet death.”

4. Artificial Intelligence (AI) and Messaging
Although artificial intelligence (AI) exists today, it’s future implications on digital marketing can’t be ignored. According to the Entrepreneur article, Deep Patel mentions how “artificial intelligence is taking over website messaging.” More and more businesses are now utilizing AI live chat programs to communicate with their consumers. Essentially, as artificial intelligence (AI) continues to evolve with messaging platforms, marketers must be able to adapt and learn how to most effectively communicate with consumers online.

Contact Us
For more information regarding digital marketing expertise and news, visit the Onimod Global Website. We look forward to hearing from you!