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September 30, 2026

Why Most Giveaways Fail to Generate Long-Term Customers

A giveaway wraps up. The entry count looks great, and the team calls it a win. Then three months pass, and none of it shows up anywhere that matters. No bump in repeat purchases. No real growth in the customer list. Just a folder of names nobody opens again.

This happens a lot. Giveaways are easy to run and easy to measure right after launch. Entries are visible, they’re easy to count, and they look great on a recap slide. But entries are not customers. Treating them like the same thing is the root of the problem. The mistakes that cause it aren’t new, either. The same few show up in giveaway after giveaway, and most of them have a straightforward fix once a brand knows to look.

The Prize Attracted the Wrong Crowd

The most common mistake starts before the contest even launches: the prize itself.

A gift card, cash, or a popular gadget with no real link to the brand pulls in a huge crowd. It also pulls in people who have zero interest in what the brand actually sells. These are the accounts that follow every giveaway on their feed, enter dozens a week, and unfollow the moment the winner is picked. Lots of entries, very little interest, and almost no chance any of them become a paying customer.

A prize tied to the product does the opposite. Fewer entries, sure, but the people who show up already care about the category. They’re not there for a free gadget. They’re there because they actually want what the brand makes.

Picking a Prize on Purpose, Not by Habit

This is a tradeoff brands need to make on purpose instead of stumbling into. A big generic prize will always win on raw entry numbers. A relevant prize wins on the number that actually matters six months down the line: how many entrants turn into customers.

Entry Mechanics Never Asked for Anything Useful

Plenty of giveaways ask for the bare minimum. An email address, maybe a follow, maybe a tag. That’s fast for the entrant, but it leaves the brand with almost nothing to work with once the contest is over.

Now compare that to an entry form with a short preference question, a product pick, or a quick quiz. Same effort from the entrant, but now the brand actually learns something. Which product they like. What problem they’re trying to solve. What kind of message might land with them later.

Without that extra layer, every entrant looks identical on paper. A brand has nothing to personalize a follow-up with, so everyone ends up getting the same generic email. Generic emails get generic results.

The One Question Most Forms Skip

A lot of teams drop this question from the form on the assumption that any extra step costs entries. That assumption rarely holds up. One short question barely moves the total number, and the payoff down the line outweighs whatever small dip it might cause on launch day. A brand that asks nothing upfront ends up guessing at everything downstream. A brand that asks one good question skips the guessing entirely.

This has to be fixed at the entry form, not after the fact. Once the contest closes, there’s no way to go back and ask people questions they were never asked to begin with.

The Follow-Up That Never Got Built

This mistake shows up more than any other, and it’s rarely about effort. It’s about where that effort went.

Almost all the planning time on a giveaway goes toward the launch. The creative, the prize, the entry flow, getting the page live. The period after the winner is announced usually gets one “thanks for entering” email and nothing else. Not because anyone decided that on purpose, but because the team is tired, the budget’s gone, and announcing the winner gets treated as the finish line.

But the interest a contest builds doesn’t disappear the day the winner is picked. People who entered are still paying attention right after that announcement. That’s exactly the moment a brand needs a real follow-up plan, and it’s exactly the moment most brands leave empty.

A giveaway with no post-contest plan isn’t really a customer acquisition campaign. It’s a short spike in attention with nothing built to hold onto it.

Everyone Got Treated the Same Way

A flat list of entrants isn’t really an asset yet. It only becomes one once it’s split apart by how each person engaged.

The winner deserves a different message than someone who only submitted an email and did nothing else. Someone who answered a product quiz deserves different follow-up than someone who spent ten seconds on the page. And any existing customers who happened to enter shouldn’t get pushed into a generic “welcome to the brand” series they don’t need.

Skipping this step means every entrant gets the exact same email no matter how engaged they were. That makes a genuinely interested entrant feel like just another name on a list, and it wastes whatever signal the entry form managed to collect.

The Follow-Up Was One Email, Not a Real Sequence

Even brands that do send something after the contest often send just one message, usually the same day the winner is announced. That single email tries to do everything at once. Thank people, promote a product, ask for a follow, and push a sale, all in one shot.

What a Real Sequence Looks Like

A real sequence starts somewhere, builds, and ends somewhere else. The opening message tells people who won, thanks everyone for showing up, and leaves them with a reason to stick around. A second message goes out a few days later with something for everyone who didn’t win, usually a small offer that rewards them without asking for a full purchase. Only after that does the sequence move into an actual product message, ideally tied to whatever the entrant showed interest in during the contest.

Cramming all of that into one email doesn’t just weaken the message. It burns through the best window a brand has to keep the conversation going, since entrants are only paying close attention for a short stretch right around the announcement.

Retargeting Stopped at the Entry List

A lot of brands treat the entrant list as the whole audience worth retargeting, which leaves a big chunk of interested traffic completely untouched.

Anyone who landed on the entry page and left without finishing is a warmer prospect than cold traffic, even if they never actually entered. So is anyone who clicked in from an ad but bounced off the landing page. None of that traffic shows up in the entrant list, but all of it saw the brand and showed some interest.

The other common mistake is running the same ad creative for weeks after the contest ends. Entrants have already sat through a lot of the brand’s messaging in a short window, so that creative goes stale fast. Once the contest wraps, the ad message should pivot toward an actual product or offer instead of repeating a pitch people have already seen.

Lookalike Audiences Get Skipped Too

There’s a second retargeting mistake that’s easy to miss because it doesn’t involve the entrant list at all. A well-run contest produces a useful seed audience for lookalike targeting on paid social, and a lot of brands never build one. The entrants who converted into customers, not just anyone who entered, make the strongest seed group. Skipping this step means the brand only ever markets back to people it already reached, instead of using the contest to find new prospects who look like the ones who actually stuck around.

User-Generated Content Went Straight Into a Folder

If the contest asked people to submit photos, videos, or captions, that content is usually the most wasted asset from the whole campaign.

Real customer photos make better social proof than studio shots most people don’t fully trust anymore. UGC often performs better than polished brand creative in paid social. A recap post brings back people who didn’t enter this time but might next time. None of that happens if the submissions just sit in a folder after the winner is picked.

The other piece brands miss is permissions. Reposting UGC on social and running it in paid ads usually need different levels of rights, and that has to be checked against the official contest rules before any of it goes back out. Skip that check, and content that could have been an asset turns into a legal headache instead.

The Data Never Made It Into the CRM

Even a contest with good segmentation and a solid follow-up plan can still fail long-term if the data dies with the campaign. Contest data sitting in its own spreadsheet, cut off from the brand’s real CRM and lifecycle marketing, is only useful for as long as that one email sequence runs.

Tagging contacts by entry source lets a brand compare contest-driven leads against other channels later on. What matters is how many entrants become paying customers, not how many opened an email. Get quiz answers and preferences into the brand’s personalization work, and a contest stops being a one-off and starts paying off long after it ends.

Nobody Defined What Success Meant Before Launch

The last mistake is the quietest one, and it’s why so many giveaways get called a win when they really weren’t. If a brand only decides what success looks like after the campaign wraps, entry count becomes the default measure, since it’s the easiest number sitting right there.

Setting a thirty- and sixty-day checkpoint before the contest even launches changes that. A target open rate for the follow-up emails. A conversion goal for the retargeted audience. Several UGC pieces cleared for reuse. Picking those numbers ahead of time is what forces a team to actually check back in two months later, instead of letting the whole campaign’s success rest on how big the entry count looked on day one.

Measuring the Right Numbers

Part of why entry count sticks around as the default metric is that it’s the only number that exists the moment the contest closes. Email engagement by segment, retargeting conversion, repeat purchases among entrants, and cleared UGC all take weeks to show up, and by then attention has usually moved to the next campaign.

That’s a reporting problem more than a results problem. A brand that builds a short checklist ahead of time, reviewed at thirty days and again at sixty, gets to see the real outcome instead of guessing at it.

Did entrants from the relevant-prize group convert at a better rate than the ones chasing a generic prize? Did the segmented sequence outperform a single blast email? Those answers only exist if someone bothers to check, and checking only happens when it’s built into the plan from the start rather than left for whoever remembers later.

Fixing the Pattern

None of these mistakes are really about the entry phase. That part usually works fine. Brands are good at getting people to enter something when there’s a decent prize attached.

Where things fall apart is everything the entry phase was supposed to set up. A prize that attracts the right people. An entry form that collects something useful. A segmented list. A real follow-up sequence with an actual arc. Retargeting that reaches past the entrant list. A plan for the content people submitted. And a way to feed all of it into the CRM so it doesn’t disappear the moment the campaign ends.

A giveaway that skips all of this can still hit its entry goal and still fail at the one thing that actually matters: turning a stranger’s five seconds of attention into someone who sticks around. The entry count was never the finish line. It was just the point where the real work was supposed to start.

Micro-Moments: How Marketers Are Leveraging These for Long-Term Relationships

In today’s fast-paced, on-the-go world, consumers are constantly looking for instant answers, solutions, and experiences. This recent shift in behavior is due to the available processing power and AI tools.  The combination of these has created what is known as micro-moments – brief, decisive instances when people turn to their devices to act on a need. Whether it’s a query, a purchase decision, or a quick decision-making moment, these micro-moments have the potential to drastically alter how marketers engage with consumers. 

Understanding micro-moments and how marketers can effectively leverage them not only helps businesses provide immediate value but also creates opportunities to build lasting relationships with consumers. In this blog, we’ll explore what micro-moments are, the role they play in consumer behavior, and how marketers can harness their power to foster long-term loyalty. 

What Are Micro-Moments? 

Micro-moments occur when a consumer instinctively turns to their device (typically a smartphone or tablet) to seek information, make decisions, or take action. Google, a pioneer in identifying and studying this phenomenon, describes micro-moments as instances when consumers have an immediate need for something and expect a quick, relevant, and personalized response. These moments are often driven by emotions, urgency, and curiosity. 

There are four key types of micro-moments that marketers should be aware of: 

  1. I-want-to-know moments: These occur when consumers are seeking information. They might be looking up product reviews, how-to guides, or general knowledge about a topic. For example, someone may search, “How to fix a leaking faucet?” or “What’s the best DSLR camera for beginners?” 
  1. I-want-to-go moments: This happens when a consumer is looking to make an immediate purchase or visit a location. For instance, when someone searches “best restaurants near me” or “24/7 pharmacy open now.” 
  1. I-want-to-do moments: These moments are driven by a desire to accomplish a specific task. It could be anything from learning a new recipe to completing a DIY home improvement project. Consumers seek actionable content that guides them through the process. 
  1. I-want-to-buy moments: At this stage, consumers are ready to make a purchase decision. They’ve done their research, and now they’re narrowing down their options. An example could be searching for “buy Nike running shoes” or “best price for iPhone 15.” 

The Importance of Micro-Moments for Marketers 

The rise of micro-moments has fundamentally changed the way consumers interact with brands. Here are some key reasons why micro-moments are so crucial for marketers: 

Instant Gratification: Today’s consumers want quick answers and seamless experiences. Micro-moments are all about satisfying the need for instant gratification. Consumers expect fast, relevant responses, and when they don’t get them, they may quickly abandon their search and move on to a competitor. 

Influence on Decision-Making: Micro-moments often influence purchasing decisions. A consumer’s decision to buy something could hinge on the information or experience they encounter in just a few seconds. Brands that are present in these moments can significantly impact the consumer’s journey. 

Mobile-Centric Behavior: As mobile usage continues to rise, consumers are increasingly using their smartphones to search for information, navigate local businesses, and make purchases. This mobile-first behavior makes micro-moments even more critical for marketers to address. 

Opportunity for Brand Building: If marketers can effectively cater to these moments, they can position themselves as the trusted solution to the consumer’s need. This can create a sense of brand loyalty and lead to long-term customer relationships. 

How Marketers Are Leveraging Micro-Moments for Long-Term Relationships 

While micro-moments are fleeting and short-lived, they offer marketers a significant opportunity to build long-term relationships. Here’s how brands can harness these moments for sustained engagement and loyalty: 

Being Present at the Right Time 

The first and most important step in leveraging micro-moments is being present at the exact moment a consumer has a need. This means ensuring that your brand’s content, ads, and offerings appear when consumers are actively searching for information. 

For example, a travel brand can target consumers during an “I-want-to-go” moment by offering real-time deals for weekend getaways or by providing a list of nearby travel destinations. By capturing these moments, brands can meet consumers where they are and provide immediate solutions. 

Personalizing the Experience 

Consumers expect personalized experiences, especially in micro-moments. They want to receive relevant content and offers based on their specific needs or actions. This means using customer data to tailor customer messaging and interactions. 

A great example is how brands can use browsing behavior to personalize content. If a consumer has previously looked for information about a certain product, such as a new smartphone, marketers can serve them targeted ads or emails with personalized offers or discounts on that product when they enter a micro-moment. 

By catering to each consumer’s unique preferences, marketers create a sense of relevance and intimacy that can extend beyond a single micro-moment into long-term brand loyalty. 

Delivering Seamless, Omnichannel Experiences 

A key aspect of micro-moments is that they’re typically happening across multiple devices and platforms. Consumers may search for information on their mobile, then move to a laptop to make a purchase, or vice versa. 

Marketers need to ensure that the experience is seamless across all channels, whether it’s a mobile app, social media, website, or email. This means ensuring that all platforms are connected, and the customer’s journey feels consistent and fluid. For example, a user could start a search on their mobile device for a product, and when they switch to a desktop, they should be able to pick up where they left off. 

By providing a smooth and uninterrupted experience, marketers not only make the immediate interaction more pleasant but also foster a sense of trust and reliability in the brand. 

Offering Value Beyond the Purchase 

To turn a micro-moment into a long-term relationship, brands must provide more than just a transactional experience. It’s crucial to offer value beyond the immediate moment, even after the consumer has made a purchase or received the information they needed. 

For example, after a consumer makes a purchase, a brand can follow up with helpful content such as “how-to” guides or tips related to the product. A clothing retailer might send post-purchase styling suggestions, while an electronics brand could offer maintenance tips or product upgrade alerts. 

By continuing to engage consumers after the micro-moment has passed, brands can nurture these relationships and keep consumers coming back. 

Building Emotional Connections 

While micro-moments are often driven by immediate needs or curiosity, they can also be an opportunity to connect with consumers on an emotional level. Brands that are able to tap into consumers’ emotions during these moments are more likely to create lasting relationships. 

This can be done through empathetic messaging, storytelling, or content that resonates with consumers’ values. For example, a brand could share content on social media that inspires or entertains, tapping into the consumer’s desires and emotions beyond the transaction itself. 

Top Brands Mastering Micro-moments 

Several top brands excel at delivering exceptional micro-moments by offering relevant, timely, and personalized experiences that align with consumer needs. These brands not only provide immediate value but also foster long-term relationships by meeting customers where they are. Here are some of the brands that stand out in delivering micro-moments: 

  1. Amazon
  • Micro-moment Type: I-want-to-buy and I-want-to-know moments. 
  • Why It’s Exceptional: Amazon has mastered the art of micro-moments by offering customers easy access to products and information with minimal friction. Its personalized recommendations, 1-click purchasing, and fast delivery cater directly to I-want-to-buy moments. Additionally, features like product reviews and quick information on products ensure that customers can quickly make informed decisions during I-want-to-know moments. 
  1. Netflix
  • Micro-moment Type: I-want-to-do and I-want-to-know moments. 
  • Why It’s Exceptional: Netflix capitalizes on I-want-to-do moments by offering personalized content recommendations based on user behavior, making it easy for users to instantly start watching a show or movie. They also excel at I-want-to-know moments by offering detailed movie and show descriptions, trailers, and ratings, ensuring that users can decide quickly what to watch. 
  1. Google
  • Micro-moment Type: I-want-to-know and I-want-to-go moments. 
  • Why It’s Exceptional: As the most used search engine, Google is at the heart of I-want-to-know moments. Whether it’s answering a quick query or providing personalized search results, Google delivers instant answers. With tools like Google Maps, the brand also shines during I-want-to-go moments, helping users find directions, locations, and real-time information. 
  1. Starbucks
  • Micro-moment Type: I-want-to-go and I-want-to-buy moments. 
  • Why It’s Exceptional: Starbucks has perfected the I-want-to-go micro-moment through its mobile app. Customers can quickly find the nearest location, order ahead, and even customize their drinks in a seamless experience. With the app’s loyalty program, Starbucks also enhances I-want-to-buy moments by offering personalized deals and rewards based on customer preferences. 
  1. Sephora
  • Micro-moment Type: I-want-to-know and I-want-to-buy moments. 
  • Why It’s Exceptional: Sephora engages customers during I-want-to-know moments by offering tutorials, reviews, and product information across multiple channels, including its website and app. The brand also capitalizes on I-want-to-buy moments by providing personalized product recommendations, easy online shopping, and access to in-store experiences, allowing customers to seamlessly move from learning about a product to purchasing it. 
  1. Domino’s
  • Micro-moment Type: I-want-to-do and I-want-to-buy moments. 
  • Why It’s Exceptional: Domino’s has streamlined the process for consumers during I-want-to-do moments (i.e., ordering food). The company’s app and website allow customers to quickly order, customize, and track their pizza. Additionally, with personalized deals and easy reordering options, Domino’s delivers on I-want-to-buy moments, offering convenience and speed. 
  1. Nike
  • Micro-moment Type: I-want-to-do and I-want-to-buy moments. 
  • Why It’s Exceptional: Nike offers a personalized, engaging experience during I-want-to-do moments through its Nike Training Club and Nike Run Club apps, which provide customized workout plans, challenges, and content. During I-want-to-buy moments, Nike’s personalized product recommendations and easy checkout process encourage seamless purchases, making it easy for customers to act on their fitness needs. 
  1. Airbnb
  • Micro-moment Type: I-want-to-go and I-want-to-know moments. 
  • Why It’s Exceptional: Airbnb offers a user-friendly app and website that quickly addresses I-want-to-go moments by helping travelers discover and book unique accommodations based on their location and preferences. Airbnb also delivers during I-want-to-know moments by providing detailed property information, reviews, and helpful suggestions, making it easy for potential guests to make decisions on the spot. 
  1. Uber
  • Micro-moment Type: I-want-to-go moments. 
  • Why It’s Exceptional: Uber is the go-to solution for I-want-to-go moments. Whether you need a ride to the airport, a meeting, or a quick trip around town, Uber makes it incredibly easy to hail a ride, track its arrival, and adjust the ride’s details—all in real-time. Uber’s simple app interface and seamless payment process cater to on-the-go customers in a variety of contexts. 
  1. Spotify
  • Micro-moment Type: I-want-to-do moments. 
  • Why It’s Exceptional: Spotify leverages I-want-to-do moments by helping users instantly discover and listen to music based on their mood or preferences. Personalized playlists like “Discover Weekly” and “Daily Mix” offer users curated experiences, ensuring they have access to music that fits their current activity or mindset. 

 

Conclusion 

Micro-moments are more than just fleeting interactions; they are opportunities for marketers to meet consumers’ immediate needs and build lasting relationships. By being present, personalizing experiences, offering value, and creating emotional connections, marketers can not only drive short-term conversions but also nurture long-term loyalty. 

As consumer behavior continues to evolve, marketers must remain agile and responsive to these moments, ensuring that they are positioned as the solution when consumers need it the most. Embracing micro-moments as part of a broader relationship-building strategy can help brands stand out in an increasingly competitive landscape. 

 

Leveraging AI for Good in Marketing: Humans Must Lead

Digital marketers are leveraging AI to enhance their strategies and achieve better results in various ways. The first AI concepts started near Alan Turing’s time. Alan Turing’s work on the concept of a universal machine (the Turing machine) and his famous paper “Computing Machinery and Intelligence” (1950), which posed the question, “Can machines think?” and introduced the Turing Test as a criterion for intelligence in machines. Neural networks, a foundational concept in machine learning, have a history that dates back several decades being introduced during the same time Turing was bringing these subjects to discussion and analysis.

Now that modern day computing is less expensive with hardware and bandwidth, it’s the time in technology where major growth spurts are being made and this technology is making its way into company’s and consumer hands alike.

Let’s look at some of the key areas where AI is working well for digital marketers:

Personalization: AI enables marketers to deliver highly personalized content and experiences to their customers. By the super power of AI analyzing customer behavior, preferences, and interaction data faster than ever before, AI can tailor recommendations, emails, and advertisements to individual users, increasing engagement and conversion rates. Consider the ability you would have if you had all the data at your fingertips and had to do your own analysis, it would be fantastic but take more time.

Predictive Analytics: AI helps in predicting future trends and customer behavior by analyzing historical data. This allows marketers to make data-driven decisions, optimize campaigns, and allocate resources more effectively when diagramming the customer journey. This will also enable you to have many customized customer journeys to tailor communication style and strategy to like customers within the same segments. Work smart, not hard.

Chatbots and Customer Service: AI-powered chatbots provide instant customer support, answer queries, and guide users through the sales funnel. This enhances customer experience and frees up human resources for more complex tasks. This also enables a hybrid model of support where AI can manage your queue and send escalated messages to real humans with the expertise in that area, also providing for greater customer satisfaction.

Content Creation and Curation: AI tools can generate content outlines, such as blog posts, social media posts, and ad copy, based on specific keywords and topics. They can also curate content by selecting and sharing relevant articles, videos, and other media, saving time and ensuring consistent content output. They key here is to understand that humans will always know reality and context better than AI. All AI outlines and content should be modified by a human, thereby leveraging AI for processes, but keeping it authentic by the brand with brand experts. Consider AI, of your best researchers that delivers you a myriad of options fast.

Ad Targeting and Optimization: AI improves ad targeting by analyzing user data to identify the most relevant audience segments. It also optimizes ad placements and budgets in real-time, maximizing ROI and reducing wasted spend. Consider the power – again, this needs to be moderated by a human to constantly consider context and brand knowledge.

Email Marketing: AI enhances email marketing campaigns by segmenting audiences, personalizing content, and optimizing send times. It can also predict the likelihood of email opens, clicks, and conversions, allowing for more effective campaign strategies. In essence, human programmed algorithms have been doing this in email clients for decades.

Social Media Management: AI tools can assist in scheduling posts, analyzing engagement, and identifying trends on social media platforms. They help marketers understand which content resonates with their audience and optimize their social media strategies accordingly. Again, you will notice the trend of what has traditionally been identified as an algorithm is now being called AI as its being created by machine learning and not human analysis.

SEO and SEM: AI improves search engine optimization (SEO) by analyzing search patterns, identifying keywords, and optimizing content for better rankings. For search engine marketing (SEM), AI can automate bidding strategies and identify high-performing keywords to maximize ad effectiveness. Again, human intervention is necessary here as keywords are extremely contextual and AI may be your 1st point of reference for research, but then human intervention should be employed to outrank folks solely relying on machines. Nuances matter here and this is where responsible marketers will separate themselves from the pack.

Customer Insights and Segmentation: AI helps marketers understand their customers better by analyzing large datasets to uncover insights and segment audiences based on various criteria, such as demographics, behavior, and preferences. Doing gut checks with real data libraries can be the difference between dirty data and extremely distinct and detailed data. Always benchmark your use of AI with what you know has historically delivered the best source for this information.

Sentiment Analysis: AI-powered sentiment analysis tools analyze customer reviews, social media mentions, and other user-generated content to gauge public sentiment towards a brand or product. This helps marketers understand customer perceptions and adjust their strategies accordingly. Pairing this with your customer journey is another way to segment your customers and speak in the correct tone for that audience.

Overall, AI is empowering digital marketers to work more efficiently, make better-informed decisions, and create more impactful marketing campaigns. Ensure you are bringing your special flavor to AI as it is not supposed to replace cognition at large. Some tasks can be relegated to automation, but for the most part, there should be a disposition to roles only humans can manage. Where does the human element make a difference? Pay attention as AI evolved and you will find that niche your market needs to have managed and serviced by humans, just like marketing.

Voice Search: Master it for Sales Domination

Learn Voice Search Mastery with this Step-by-Step Guide

Searching on internet appliances has rapidly become a dominant force in the digital landscape, revolutionizing the way users interact with devices. As voice-enabled assistants like Siri, Alexa, Google Assistant, and Cortana gain widespread adoption, businesses must adapt their strategies to capitalize on the search revolution.  Approximately 58% of consumers leverage voice search to discover local businesses, showcasing the growing significance of this technology. Daily use of audible search is prevalent among 41% of adults in the United States. Google Assistant supports an extensive range of smart home devices, exceeding 30,000, highlighting its widespread integration. Apple’s Siri emerges as a preferred choice for 45.1% of voice assistant users. The realm of voice search shopping is anticipated to surpass $40 billion, underlining the substantial economic impact and consumer reliance on this evolving technology.

The importance of understanding and incorporating On-SERP SEO (Search Engine Results Pages) cannot be overstated, particularly as voice assistants often read featured snippets as responses to user queries.

Why On-SERP SEO Matters: Featured snippets, positioned at the top of Google’s organic search results, are crucial in voice search interactions. As voice assistants read these snippets, businesses aiming to secure a spot in the featured snippet are more likely to capture user attention and provide the desired information. To leverage this, it’s imperative to organize content for SERPs using Voice Search SEO.

Purpose-built Content to Answer Specific Questions

To create content that effectively answers specific questions for voice search optimization, it’s essential to first identify and focus on addressing common user queries within your niche. Understanding the typical questions users ask allows you to tailor your content to meet their specific informational needs. Craft your content in a question-and-answer format to align seamlessly with how users phrase their questions. This format not only aligns with the conversational nature of voice queries but also enhances the chances of your content being featured in voice search results. Ensure clarity and conciseness in your responses, providing straightforward and easily digestible information. By offering precise answers to common user questions, you not only optimize your content for search but also enhance the overall user experience, establishing your brand as a valuable source of information in your industry.

High-Quality Content Development

Ensuring high-quality content is a crucial aspect of voice search optimization. To achieve this, focus on delivering accurate and valuable information that addresses user queries comprehensively. Invest in creating content that not only answers specific questions but goes beyond providing additional context and insights. High-quality content is not just about meeting search engine algorithms; it’s about fulfilling user intent and providing real value to your audience. Conduct thorough research, cite authoritative sources, and maintain a consistent tone that resonates with your target audience. By prioritizing the quality of your content, you not only enhance your chances of appearing in search results but also build credibility and trust with your audience, establishing your brand as a reliable source of information within your industry.

Optimizing Voice Search

Optimizing for voice search platforms requires a tailored approach that considers the distinct requirements of major search platforms such as Siri, Google, Alexa, and Cortana. Each platform has its unique characteristics, and understanding these nuances is crucial for effective optimization. Craft your content to align seamlessly with the audible search algorithms and preferences of each platform. For Siri, focus on concise and clear responses; for Google, leverage featured snippets and structured data; for Alexa, prioritize natural language and conversational tone; for Cortana, consider user habits and preferences. By tailoring your content to meet the specific criteria of each platform, you enhance the likelihood of your information being accurately retrieved in voice search results, ultimately improving your visibility and accessibility to a broader audience.

Apple’s Voice Search: Siri

Siri, Apple’s voice search platform, stands out by being seamlessly integrated across all Apple devices, providing a consistent and user-friendly experience. It distinguishes itself through the implementation of voice-activated commands, allowing users to perform a multitude of tasks with simple spoken instructions. Siri places emphasis on refining searches by prompting users to rephrase and narrow their queries, showcasing a commitment to better understanding user intent. This approach not only enhances the overall user experience but also sets Siri apart by prioritizing clarity and precision in voice interactions.

Google Assistant

Google Assistant, a leading voice search platform, distinguishes itself through seamless integration with Google Home smart speakers, creating a cohesive smart home experience. Triggered by wake words like “Hey Google” or “OK Google,” it offers an intuitive and hands-free approach to accessing information. Renowned for its versatility, Google Assistant goes beyond basic search functionalities, engaging users in a wide array of tasks, making it a comprehensive virtual assistant. This adaptability and integration with smart home devices contribute to Google Assistant’s distinction as a go-to voice search platform for users seeking convenience and efficiency in their daily activities.

Amazon’s Voice Search: Alexa

Alexa, Amazon’s voice search platform, sets itself apart through its prominent presence on the Echo smart speakers, establishing a robust ecosystem for voice-enabled interactions. Renowned for its multifunctionality, Alexa extends beyond traditional search functions, encompassing entertainment, smart home control, and more. Users can seamlessly navigate various tasks, from playing music to adjusting smart home devices, enhancing the overall user experience. With its intuitive voice-activated search feature, Alexa caters to users seeking a hands-free and versatile voice assistant, solidifying its position as a key player in the search landscape.

Microsoft’s Voice Search: Cortana

Cortana, Microsoft’s voice search platform introduced in 2014, distinguishes itself by its integration with Microsoft devices and its sophisticated learning capabilities. Going beyond conventional audible searches, Cortana evolves with users, adapting to their habits and preferences over time. While performing standard web searches, Cortana also excels in assisting users with daily activities, offering a personalized and dynamic voice-driven experience. Its ability to learn from user interactions enhances its utility, positioning Cortana as a distinctive player in the search arena.

Changes in Search Semantics

Voice searches often adopt a more conversational tone, affecting the semantics of search queries. Users tend to phrase queries as questions, emphasizing the need for a strategic shift in digital marketing. Adapting to this change involves incorporating long-tail keywords and providing direct answers to common questions, aligning with the conversational nature of searches.

Voice Search and Mobile-Friendly Environments

The hands-free capabilities of mobile devices contribute to the prevalence of voice search, especially among users on the go. To accommodate this trend, brands must prioritize mobile friendliness in their online presence. Key considerations include improving page loading times, incorporating vertical content with larger text, redesigning pop-ups, and optimizing buttons and calls to action for mobile devices.

Emphasis on Local SEO

Approximately 22% of voice search queries are location-based, emphasizing the importance of local SEO. Businesses seeking to capitalize on local searches should update their Google My Business listings, utilize Google Ads’ location extensions, and leverage Google Maps’ local search ads.

Voice Search Marketing and Digital Advertising

Voice search is reshaping digital advertising, requiring businesses to optimize content for conversational language, long-tail keywords, and user intent. Anticipating user queries and providing relevant information enhances the chances of securing a featured snippet in voice search results. With search marketing, businesses can create targeted ad content designed to engage users relying on evolving searches.

The Future of Digital Advertising

As voice search continues to grow, businesses that adapt quickly will gain a competitive advantage. Optimizing for this evolving search product requires a deep understanding of user behavior, a focus on conversational language, and the integration of long-tail keywords. Businesses willing to innovate in this evolving landscape stand to not only keep up with the competition but potentially move ahead.

In conclusion, the voice search revolution is here, and businesses must proactively adapt to stay relevant. Audible search optimization is not just a trend; it’s a fundamental shift in how users access information. By embracing this change and implementing effective search strategies, businesses can position themselves for success in the dynamic digital landscape.

Personalizing Your Web Experience

It’s commonly accepted these days that personalization impacts your customer experience all the way to conversion.  However, we often forget just how important some of this commonly accepted knowledge is; more personalization on your website could lead to substantially increased conversion rate.  The difference between 3 personalized pages and 10 personalized pages shows an 18X conversion rate for those that consumed the 10 personalized pageviews when compared to shoppers that consumed only 3 personalized web pages.

So let’s consider your web experience and what you can personalize to engage your user so much that they would respond this much. Keep in mind the user that will consume 10 pages overall is already a different prospect than your average 50% bounce rate and average 4 pages to leave or convert.  Knowing how and where to grasp your personalization is fairly important.  This will stem from your product or service offering as well – certain products and services have obvious personalization opportunities; for example, a loyalty program will shout out for what you have done already while also teasing opportunities available to you.

You may consider a loyalty program may use GPS data on your phone and store to your profile.  When you go to their website, they may offer you congratulations on earning 175 points at your favorite restaurant. They may also show you the opportunity you have had in the last week to earn even more points.  They will tempt you to visit not only their social media profiles but also reward you for liking and engaging with retailers in the program.

For an eCommerce site, you may find that offering products from the collection the user is shopping will show them that you know what they like.  You may look at past purchases and suggest because you own this product that you may indeed like a complimentary product that other users have purchased and rated highly.  You may also suggest tips for the products they already own – how to use best, store, or clean.

You may also create an opportunity to unlock unique offers by asking for more customer information that will help you personalize their Birthday Month, their favorite holiday, and even reminding them of their favorite people’s birthdays. It’s amazing what you can use to show a person you care and that you know and understand them.

There are many more ways to personalize your experience, from acknowledging your name to having the customer land closer to where they would like to start browsing.  The technology to enable this varies but is available in many CRM packages.  There are also custom plugins that will help you.  The following list is a great list of software considerations to help you personalize your web experience.

SalesForce

Hub Spot

Pipe Drive

Active Demand

These applications enable you to set up rules for how you trigger personalization and deliver it online.  Test different scenarios on different customer segments and you may unlock the solution to creating a greater lifetime value across customer segments.

 

AI Meet and Greet: Chatbots, RPA, & Virtual Assistants

With AI (Artificial Intelligence) gaining speed in 2019 it becomes imperative for businesses to improve their customer service and customer experience. Google, Facebook, Amazon’s Alexa, government agencies, and businesses of all sizes are all embracing new technology tools such as chatbots, RPA, and virtual agents.

Chatbots

Chatbots are the most common of these tools. Short for “chat robot”, a chatbot is a computer program that simulates human conversation using AI.  Chatbots are built to imitate human conversations by using a pre-determined script.

Without the ability to use context or customer intent, a chatbot conversation is not like that of real human-to-human interaction. Chatbots are usually given a structured script of responses to cover all possible angles of a customer’s inquiry. These canned responses can be effective, but often they fail to accurately answer a customer’s questions, which negatively impacts the customer experience. It’s irritating to ask a question and have the chatbot keep giving the incorrect response over and over — an important fact to keep in mind when selecting AI technology for your goals.

RPA

What is RPA? RPA stands for Robotic Process Automation — the automation of repetitive, simple tasks such as data entry, calculations, employee onboarding, licensing, and procurement.

In the past, RPA has been primarily used by the financial services industry, but now many health agencies and government offices are also using it. RPA can increase accuracy, speed, and standardization, which can save a company between 40 – 70% in labor costs.

The future looks bright for RPA as it is considered the workhorse of AI and machine learning. While AI and machine learning uses cognitive techniques, RPA provides solutions to the more complex problems of “fuzzy logic, image and pattern recognition”.

Virtual Assistants

One might ask “Will robots take over the world someday?” The answer to that question is yes, and that someday is now. Virtual Assistants (VA), or Intelligent Virtual Assistants (IVA) take chatbots to a whole new level of advanced learning and customer communication. AI is also creating virtual assistants that have their own faces, names, and overall personas.

Virtual assistants have been defined as “a conversational, computer-generated character that simulates a conversation to deliver voice- or text-based information to a user via a Web, kiosk, or mobile interface.” Does this sound familiar to anyone who has used Alexa, Siri, or Google Maps? With AI technology, a virtual assistant can capture a user’s behavior and intention and it will adapt how to interact with that customer.

There are many differences between chatbots and virtual assistants, but the three main ones are:

  1. Understanding

As mentioned above, chatbots do not have the intelligence to understand human conversation but use a built-in script to produce responses. Virtual Assistants use an artificial intelligence that can emulate human interaction to perform tasks through advancements in neural networks, AI, and machine learning.

  1. Context

Chatbots do not have advanced dialogue capabilities. They rely on structured, pre-determined scripts to answer basic questions. The conversation flow is controlled by the bot and when the bot doesn’t understand the intention of the customer, the conversation flow is broken.

Virtual Assistants have a dynamic dialogue where the conversation flow can switch from being controlled by the user or by the technology. Virtual Assistants, unlike chatbots, are better able to understand the intent of the customer and act with greater nuance and precision.

  1. Persistence

Brands must be present on multiple channels, but able to maintain consistency across those channels. For example, when a customer starts a conversation over the phone using virtual assistants, they are able to pick up where they left off via chat, email, or text. Chatbots don’t have the intelligence to maintain this context or consistency across channels, so the customer has to start from the beginning. This can become very frustrating to the customer and can thus negatively impact your business and brand.

Be sure to select the proper AI tools for your business needs and you’ll be rewarded with cost savings, satisfied customers, and a positive brand image.

As we look further into 2019, chatbots, RPA, and virtual assistants are ushering in an age of automation that will improve the way businesses do business. Let’s hang on for the ride!

Future of IVA(s)-Intelligent Virtual Assistants

As the business landscape continues to become more competitive, businesses are always looking for new ideas to transform their organizations. Businesses look to these new ideas and technologies to help them become more profitable and leap ahead of their competition. The newest and most relevant of these technologies is Artificial Intelligence (AI). One solution AI provides is the Intelligent Virtual Assistant (IVA). IVAs have had a major positive impact on customer service and experiences across several business sectors. The market for IVAs is increasing at an alarming rate and is predicted to grow by 37% between 2016 – 2024 and reaching $12 Billion by 2024. Retail, hospitality, telecommunications, and banking are the largest sectors today which use IVA and have had significant benefits.

As mentioned in our previous blog Chatbots vs. RPA vs. Virtual Assistants, AI technology has been able to create a virtual assistant that can capture a user’s behavior and intention and it will adapt how it interacts with that customer. IVAs use Natural Language Processing (NLP), machine learning, data integration, speech recognition, and other technologies to understand the human conversational flow.

IVAs are helping businesses accomplish mundane tasks in mere minutes that would normally take human employees hours to do. The leader in IVA tech is Amazon, whose consumer IVA Alexa for Home has all but mastered this technology. At the end of 2017, Amazon turned their attention to Alexa for Business — a solution geared to help employees manage tasks such as scheduling meetings, sifting through messages, starting conference calls, reordering supplies, or keeping track of tasks. This new Alexa supports a growing list of companies integrating skills and functionality, such as Salesforce.com, Polycom, and Concur.

Alexa for Business works just like the Alexa for Home by using a set of skills through voice command. Alexa for Business can use its tens of thousands of available skills and also create new ones. It can create private skills for their employees by using the Alexa Skills Kit and the Alexa for Business APIs.

The conversational IVA can deliver broader functionality than a chatbot. IVAs can be more proactive in monitoring key business initiatives and optimization such as key metrics. IVA frees users from having to log into dashboards to view KPIs as the IVA does it for them.

What else can IVA do to help businesses? Some examples are:

· Real-time reporting — users are alerted when there is a sudden drop in sales or revenue.

· On-demand interactions with natural language questions such as “What were total sales in the past hour?”

· Context-driven recommendations, suggested actions, and task execution. For instance, the IVA might ask the user “Total sales have declined 25% in the past hour, what would you like to do?”

· Customer segment monitoring — the user requests a customer’s journey for a particular service or application, and the IVA could provide a graphical representation for bottlenecks and metrics that must be addressed immediately.

It is possible that IVAs could also deliver insights to detect fraud in real-time, more accurate pricing models, improving product forecasts, and more. The benefits of a focused and Intelligent Virtual Assistant are endless, especially with AI crossing more technology boundaries every day.

The future for Intelligent Virtual Assistants is here and it is moving rapidly. IVAs offer businesses so many benefits to improve on how they engage with their customers by enhancing the performance and efficiency of how tasks are assigned and completed — and as we know, Customer Service is the servant to retention marketing. Welcome to the new world of business – powered by IVAs!

How Artificial Intelligence is Used to Micro-Target Ad Buying

In today’s data-driven thinking, even the way you advertise is changing due to Artificial Intelligence (AI). If you have ever used Google, Siri, or Alexa, you’ve already experienced Artificial Intelligence in action, because whenever you search for something online, AI is there tracking your every search. After searching, you might immediately begin receiving pop-up ads related to your search on the side of your email page, or as an incoming message in your inbox, all powered by AI. Also, if you’ve ever asked a question on a website with live chat, there’s a chance that person you spoke with was actually a chatbot powered by AI.

We all know those pop-up ads can be annoying; so much so that the ads will usually pass by unclicked.  As technology becomes more sophisticated, so do consumers, who expect personalized advertising to be delivered on their own terms — not those of the brand.

The old way of advertising targeted broad audiences with generalized messaging. AI, however, changes things, allowing brands to micro-target their ads to specific demographics, ensuring the advertising content is relevant, contextual, and personalized to individual preferences. One particular characteristic of AI is that it can automatically send emails to leads, and it can now predict when recipients are ready to talk with a human being.

Most online ads are sophisticated delivery systems of data powered by AI technologies. AI is a set of algorithms that takes terabytes upon terabytes of information such as demographic data, personal data, geographic data, and personal interests, and turns it all into something that becomes a usable way to target your ads. This system of AI is called programmatic advertising. Programmatic advertising is used to profile visitors to a website or app. The information it gathers is then used to target and deliver ads to the user. According to eMarketer, more than 86% of US display ads are “bought via automated channels” and 8 out of 10 mobile displays are purchased programmatically. Programmatic advertising makes the buying, placement, and optimization process more efficient and targeted.

Google and Yahoo tend to be on the forefront of technology, so it is no wonder they are using AI technologies to predict search behavior. Google is using AI programmatic advertising to automate the buying and selling of ads in a real-time bidding process. This bidding process crosses over onto mobile, display, video, and social networks. Google even uses AI to calculate how much to charge for bidding on keywords.

One major aspect of AI for ad buying is ROI, which is always a concern that your marketing dollars are being spent well. A Deloitte study found that AI programmatic advertising is having positive returns on a company’s investment. Deloitte surveyed 1,100 US executives from companies considered to be early adopters of AI and found that 82% reported a positive return on their investment for their AI initiatives.

Because of AI, the marketer can now advertise more relevant ads to their audience. Lexus has even begun using AI in their television commercials, signaling we have really just begun to scratch the surface of what AI can truly do!

2019 and 2020 will prove to be unique years for the advancement of AI helping brands find new audiences. With improvements in AI, we will probably see unique web pages built on the fly, customized and personalized just for us – a custom shopping catalog for one, all compliments of AI!

Chatbots and Business: The 2019 Forecast

Artificial Intelligence (AI) has invaded our everyday lives, but it isn’t as scary as most of us thought. AI is actually making our personal lives easier. Businesses are coming up with new ideas on how to use AI to increase customer engagement, drive sales, and make processes easier through chatbots.

AI-powered chatbots have seen a recent increase in popularity. Facebook already gets effective results of their ad campaigns using AI-powered chatbots; but what new developments can we expect for chatbots in 2019? Read on for some startling predictions.

But first, let’s define what it is that chatbots do. Chatbots provide a personalized customer experience and services similar to those provided by humans in a cost-effective way. While many of us may prefer a human interaction, it becomes expensive for a company. With chatbots, you have 24/7 availability at a much lower cost than paying a human being.

Chatbot Intelligence

If you have been to a retail or corporate website recently, you’ve likely encountered a chatbot. Powered by the algorithms of artificial intelligence, chatbots are able to simulate a realistic conversation with people and answer any basic questions they have related to their topics of expertise. As chatbot technology improves, they can assist customers in an ever-quicker and more accurate manner.

A survey by Spiceworks revealed that 40% of large businesses will implement intelligent assistants or chatbots by the end of 2019. Since chatbots debuted in the public sphere, they have been deployed in industries as diverse as e-commerce, healthcare, and government. The reason for their surging popularity is the cost-effective simplicity they bring to online communication.

Chatbots allow you to order a pizza, book an appointment, or answer your questions about a product online. Intelligent conversations are the driving force behind chatbots. Though chatbots are robots, with AI technology they are becoming more ‘human like’ due to natural language processing (NLP). The chatbot is able to understand a human’s language according to the context of what is being said and respond accordingly.

NLP will make chatbot communication easier as the ‘human like’ qualities improve to give us chatbots that can read text, analyze it, and respond faster with more accuracy.

Some experts predict that up to 80-85% of businesses will be deploying advanced chatbots by 2020! This is a staggering number, and if a business is going to succeed in this day and age of technological advancement, they must keep up with the trends and technology. The public’s preference for humans over chatbots is on the decline, in fact some studies have shown that 70% of people would opt for a messaging bot to communicate with a company.

Chatbot Predictions

According to some tech gurus, the implementation of AI-powered chatbots will see a huge increase, especially in the consumer-based services. Forecasts for 2019 see chatbots will soon be matching human behavior while providing the same standards of service as a human. The gurus are also predicting that even the customer services present in most industries will be carried out by chatbots in a better and more efficient manner.

There is a high probability that 80% of online communications will eventually be done through robots.  Robotic messengers will be facilitating business to consumer interaction. This provides an explanation of why online retailers and outlet stores are promoting the installation of text-related voice assisted chatbots for verifying orders, delivery, and purchasing.

We know that chatbots and AI are moving towards the future at an alarmingly fast rate and that businesses better get on board to stay relevant in this new age. The robots of the future are not going away!

We also know that virtual agents are becoming more advanced in answering a customer’s question, qualifying leads, and helping customers check out. Companies won’t be using just chatbots, they will be creating virtual agents that have a face and a total persona to handle even more customer service needs. Is this promising or alarming? Only the future can tell how chatbots will meet customer expectations.

Marketing with AI: Know Your Customers, Optimize Campaigns

Digital marketing technology has revolutionized the business world quickly in the past 5 years to help create new opportunities. If your business hasn’t yet moved toward embracing digital marketing, you might end up left behind.

The basic principles of marketing, such as product messaging and placement to your target market, have not changed in the digital world. What has changed is the delivery method of your message: Artificial Intelligence. One of the most innovative technologies of our time, Artificial Intelligence (AI) has already become a part of our daily lives in the form of Siri and Alexa. When used in B2B businesses, AI is transforming the way people interact with information, brands, and services.

According to Blueshift, 28% of all marketers currently use AI for product recommendations and 26% for campaign optimization. Many marketers expect AI to continue this rapid increase in the near future. Another 43% of marketers currently use AI for audience expansion, and 39% for audience targeting.

According to Forrester’s Global State of Artificial Intelligence, 57% of businesses currently use AI to improve their customer experience and growth. One may wonder exactly how AI helps businesses achieve their growth targets? One major factor is through the personalization of content, which is seen in the hyper-specific news articles and ads tailored just for you and your interests. 64% of marketers believe that by 2020, AI will be delivering real-time personalized advertising and optimized messaging right to your inboxes.

2019 is full of potential for AI technology. The Marketing Artificial Intelligence Institute recently asked over 200 marketers “Assuming AI technology could be applied, how valuable would it be for your team to intelligently automate each use case?” What they found was not rocket science, but simply what every marketer asks of their marketing campaigns:

• Analyze existing online content for gaps and opportunities
• Choose keywords and topics for content optimization
• Build buyer personas, goals, behavior, and intent
• Create data-driven content
• Discover insights into top-performing campaigns and content
• ROI by channel, campaign, and overall
• Adapt audience targeting on behavior
• Optimize website content for search engines
• Recommend targeted content to users in real-time
• Assess and evolve Marcom related activities (i.e.: landing pages, email, etc…)

Marketers can leverage AI to better understand their customers’ path toward a purchase by answering these questions:

• Which marketing channels drive revenue and which do not?
• What types of content a customer retains?
• At what stage of the customer journey does our content perform the best?
• Where in the buying funnel are customers dropping out?

Just as marketing has its famous 5 Ps (product, price, placement, people and promotion), so does AI. Paul Roetzer, CEO of 20/20 PR, has defined the 5 Ps of AI;

1. Planning: Predicting customer behavior, defining strategies, prioritizing activities, and determining how to allocate your marketing resources.

2. Production: Creating, curating, and optimizing content.

• Blog posts
• Emails
• Landing pages
• Videos
• Ads
• Social media posts
• Email subject lines
• Converting voice to text
• Creating nurture or sales emails

3. Personalization: Personalizing consumer experiences.

• Automated emails & adaptive send times
• Content, offers, and web experiences
• Product recommendations
• Chatbots

4. Promotion: Managing cross-device promotions, cross-channel promotions that drive engagement, and actions.

• Audience targeting
• Social publishing
• Digital paid media management
– Adjusting digital spend in real-time by channel
– Ability to test headlines, landing pages, images, and creative
– Social posts scheduling
– Improved targeting and retargeting

5. Performance: Turning data into intelligence to optimize performance.

• Lead scoring
• Forecasting performance
• Discovering insights

Remember, parameters have to be built into the machine in order for AI to work. AI does not naturally understand; a human has to create templates that adapt to each individual. We have to train these attributes into the machine. However, with proper programming AI will help businesses succeed in understanding their customers; how to acquire them, and how to retain them.
Could AI become too good at profiling your buyers and their habits? Only time will tell…