Advertiser Campaign Management, CMO Strategy
Article | June 3, 2024
Nate Burke, CEO of Diginius, a London-based technology company, who specialise in digital marketing and ecommerce solutions, discusses the growth and exciting future prospects for video advertising, particularly for those seeking unique ways to promote products in a saturated online marketplace.
Over recent years, there has been increasing focus on the use of video in just about every marketing context. And as it would seem, all the events and shifts in the market that have occurred ever since have only played into the success of the audio visual format.
Take the coronavirus pandemic as a prime example. Lockdown restrictions and stay at home orders across the globe have catalysed our consumption of video content. For anyone sceptical of this statement, just take the sweeping influx of TikTok users, and consequently, development of Reels, Livestream services IGTV and Stories features across social media platforms.
These video-based formats often provide a more entertaining and engaging way to consume content. And at a time when we have been looking for just about any way to fill gaps while stuck at home, videos have offered moments of escapism and connectivity, despite people never being so physically far apart.
The video content we have consumed has varied from DIY tutorials for making face masks or home renovation projects, through to product reviews and demonstrations for items we would typically like to see in person and in store.
And although restrictions are beginning to ease and these in store experiences can resume, many consumers will have adjusted to the new way of doing things, particularly with regards to online shopping and decision making.
Therefore, no longer is it enough to simply enable the purchasing of your products through an online channel. Rather, brands need to be supporting every step of the customer journey through their digital offerings, including the awareness, research and post-purchase service stages.
And thanks to the continued development of online advertising tools, this is now more viable than ever. For example, the social media features mentioned previously can all be used for advertising purposes too. Whether it’s enticing brand videos posted to your own feed, or promoted via each platform’s advertising network, or even an influencer partnership, whereby a famous face shows your product in action, there are countless ways to get word of your product out there with video.
Similarly, YouTube ads have long been praised for being a cost-effective way to earn greater digital reach through better engagement and creativity. As the second largest search engine in the world in terms of number of searches, it’s easy to understand why video advertising on the platform is so beneficial.
But while it might be one of the largest, YouTube certainly isn’t the only worthwhile search engine to be advertising on. In more recent times, the sophistication of other search engines, including Google and Bing, have created a strong case for businesses to include video consideration in their SEM strategies too. For example, we’re probably all familiar with the increasing favourability and better integration of YouTube videos displaying on results pages. And although this is separate to PPC advertising, it does require considerable effort in terms of SEO in order for videos to rank.
However, more recently, and we suspect moving forward, there is room for the use of video in these traditional PPC search advertising platforms too. In fact, Bing is currently rolling out a video extension feature to its ad accounts, allowing advertisers to include a 6 - 120 second clip in their search ads. On desktop, a thumbnail for the video will be shown to the right of the copy, which when clicked, the video plays in an overlaying window. On mobile, the video simply plays in the frame with ad copy still visible below.
As well as helping to secure greater real estate space on the results page, these videos make ads more engaging and can even enable businesses to provide more information about the brand, product or service beyond what is permitted in the copy.
Therefore, for businesses looking to implement a strong video strategy, Bing can help you maximise the return on investment required to produce such pieces of content. As well as making use of video to improve PPC efforts, the search engine definitely appears to prioritise the format more than other platforms do. Just a quick search for big name brands, such as ASOS and Sainsbury’s, will show you just how easily the search engine integrates branded and user generated video content, when compared to the likes of Google.
Again, with videos that are appropriately optimised, there is great potential to increase the space taken up on the all important first page of results. As well as this, you can provide searchers in the awareness and research stages with greater information and a better brand experience through content in a more engaging format to increase the chances of a conversion.
In terms of PPC advertising, the use of video is at no greater expense to the business. Video clicks are charged at the same rate as call to actions or website click throughs, and like in the traditional form, only the initial click incurs a cost. Therefore, users can click to watch the video, and then press the button to call, enquire or visit your website, and despite having spent more time immersing themselves in your brand, there will be no additional price to pay.
Undeniably, video advertising is becoming increasingly intelligent, providing businesses with much more opportunity to showcase their products in an engaging way, which can help break through the white noise of the saturated online marketplace. But interestingly, I believe this is only the beginning of what is possible with the format, particularly when it comes to PPC in search.
As the retail world recovers from the disruption of the pandemic, and businesses really begin to home in their strategies to accommodate users’ new found preferences in the age of post-lockdown, the creative use of video will become an ever-growing key tactic in advertising.
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Advertiser Platforms
Article | March 18, 2024
Stay ahead with insights into alignment of sales and marketing for unprecedented business growth. Discover how the latest trends in sales intelligence are shaping the future of business strategies. Contents 1. Introduction 2. Top Sales Intelligence Trends to Watch in 2024 2.1. Hyper-Personalization 2.2. Customer Data Platforms 2.3. Multi-touch Approach 2.4. Shorter Sales Cycle 2.5. Cross-Selling and UpSelling 2.6. Calling Cognitive Conversational AI 2.7. Voice of Customer (VoC) Analytics 2.8. Automation of Routine Tasks 2.9. Real-time Analytics: 2.10. Predictive Analytics 2.11. Alignment of Sales and Marketing 2.12. Enhanced Customer Profiling 2.13. Blockchain for Sales Data Security and Transparency 2.14. Quantum Computing in Data Analysis 2.15. IoT-enabled Sales Intelligence 3. Final Thoughts 1. Introduction The ever-growing advertising market in sales and sales intelligence demands for aligning business strategies with sales trends. The impact of modern sales intelligence on businesses and their ROI is profound. It drives significant enhancements in lead generation, customer engagement, and conversion rates. Companies can optimize sales strategies by using sales intelligence trends like intelligent data to gather and apply insights from customer data. This targeted approach reduces the sales cycle and increases the efficiency of sales teams. Eventually, it leads to a higher conversion rate and customer lifetime value. Sales intelligence and its role in business evolution is crucial owing to its predictive capabilities. This allows businesses to anticipate market trends and customer needs. Doing so will enable them to make proactive adjustments to offerings and strategies. As a result, organizations experience a marked improvement in revenue growth, cost reduction, and competitive advantage. They demonstrate a substantial return on investment (ROI) from their sales intelligence initiatives. 2. Top Sales Intelligence Trends to Watch in 2024 2.1. Hyper-Personalization The implementation of hyper-personalization is crucial as it increases customer engagement, conversion rates, and, ultimately, revenue growth. This methodology enables sales and marketing leaders to craft highly individualized customer interactions. Such a tailored approach aligns with the escalating consumer demands for personalized experiences. The fact that 71% of consumers demand customization and 76% are dissatisfied with generic interactions contributes to competitive differentiation and a high ROI. McKinsey reports highlight that entities mastering personalization can surpass their peers by 40% in revenue generation, with a notable 8x return on marketing spend. 79% of organizations that exceeded revenue goals have a documented personalization strategy. Hyper-personalization enables the delivery of nuanced, context-sensitive sales pitches and marketing messages. It optimizes customer acquisition costs and fosters deep, meaningful connections that enhance customer lifetime value. 2.2. Customer Data Platforms Customer data platforms, one of the sales intelligence trends, are integral to businesses, especially Marketing Cloud. In 2022, a Genie was introduced, built upon the capabilities of the Marketing Cloud Customer Data Platform. CDP extends the functionalities across the businesses' entire product portfolio, facilitating data unification, identity resolution, and activation. Despite this expansion, the Marketing Cloud Customer Data Platform remains robust and relevant, offering distinct advantages. As organizations increasingly rely on diverse and aggregated data sources for personalized customer experiences, the significance of CDPs in conversations continues to grow. 2.3. Multi-touch Approach Multi-touch attribution represents a nuanced approach to measuring marketing effectiveness. It acknowledges the complexity of the customer journey by attributing value across multiple touchpoints, leading to a conversion. Unlike traditional, rule-based attribution methods such as first- and last-touch, multi-touch attribution offers a more equitable and comprehensive analysis. It leverages advanced analytics and allows integrating AI in sales strategies to accurately measure the impact of each touchpoint. It, thus, eliminates biases and lets marketers make data-driven business decisions. According to HubSpot's 2022 sales strategy & trends report, a third of sales reps say they average 2-4interactions with prospects in the sales process. 26% of reps report 5-7 interactions. Multi-touch attribution models provide distinct perspectives on the customer journey, including first-touch, last-touch, linear, time decay, u-shaped, w-shaped, and custom attribution. They emphasize the significance of the initial engagement and acknowledge the importance of interactions closer to the conversion. Adopting multi-touch attribution allows companies to gain deeper insights into campaign performance. It enables them to optimize their future marketing strategies and budget allocation. Future-proofing business strategies in sales ensure an eminent fair distribution of credit across marketing channels and partners. It enhances understanding of the paths that drive conversions. Ultimately, it guides more effective marketing strategies and investments in the complex digital advertising environment. 2.4. Shorter Sales Cycle Optimizing the sales process is as essential as accelerating revenue growth. Here, a pivotal aspect lies in shortening the sales cycle. Sales intelligence offers deep insights into prospect behaviors and preferences. This information facilitates quicker identification, qualification, and conversion of leads. "Prospects are less interested in 'seeing how it works' and more interested in making sure you understand their needs, have a comprehensive idea of their requirements, and that the product will work." -Dan Tyre, Inbound Fellow at HubSpot It empowers representatives to pinpoint and engage with key decision-makers efficiently, ensuring personalized outreach that resonates with an account's specific needs. This justifies its ability to identify upsell and cross-sell opportunities within an existing customer base. It eventually leads to streamlined revenue growth from current relationships. While these real-time lead enrichment and targeted outbound prospecting efforts hone in on high-quality leads, ideal customer profiles significantly reduce time to conversion. 2.5. Cross-Selling and UpSelling Understanding and implementing cross-selling and upselling strategies are pivotal in today's competitive market. A 2022 HubSpot Blog survey found that most sales professionals use cross-selling and upselling strategies to drive up to 30% of their revenue. This demonstrates their critical role in sales intelligence and customer lifecycle management. Cross-selling encourages customers to purchase complementary or related products alongside their primary purchase. The process enhances customer experience and satisfaction by offering more value. According to a HubSpot Blog survey of more than 500 sales professionals, 72% of salespeople who upsell and 74% who cross-sell say that it drives up to 30% of their revenue. Upselling involves encouraging customers to purchase a premium or upgraded version of the product they are buying, thereby increasing the transaction's value. This business intelligence strategy relies on understanding the customer's needs and goals and offering solutions that align with their growth trajectory. Both strategies necessitate a deep understanding of the customer journey, trust-building, and personalized engagement to be successful. Encouraging sales teams to leverage these strategies involves: Regular customer check-ins Comprehensive product knowledge A focus on adding value to every customer interaction 2.6. Calling Cognitive Conversational AI Cognitive conversational AI is transforming customer service operations by delivering personalized, efficient, and dynamic interactions based on cognitive science principles. This advanced technology surpasses traditional chatbots and generative language models by understanding, remembering, and responding to inquiries in a human-like manner, tailoring responses to each user's unique history and needs. It can handle a wide range of customer service tasks well. Its ability to recall past conversations, analyze sentiment, and provide contextually relevant responses allows it to address a broad spectrum of customer service tasks effectively. Companies like Walmart have significantly improved customer satisfaction scores by implementing AI-driven chatbots, with a reported 38% increase in CSAT in certain regions. These systems can reduce average call handling times by efficiently directing calls. They assist agents with real-time information to expedite resolutions. Their ability to continuously learn from interactions helps them improve performance over time. Sean Downey, Google's President, Americas and Global Partners, believes that growing in importance in AI will be the single biggest trend in 2024. 2.7. Voice of Customer (VoC) Analytics Voice of Customer (VoC) analytics has emerged as a critical tool for sales leaders. They use VoC analytics to align their sales strategies with buyers' evolving needs and expectations. This analytical approach provides invaluable insights into customer preferences, pain points, and behaviors. Additionally, it enables organizations to optimize their sales motions, messaging, and overall customer experience. VoC needs to be implemented as backed by a research that 61% of consumers switch brands due to poor customer service. Implementing VoC analytics across the sales process empowers teams to identify opportunities based on customer needs. It enables teams to refine messaging to address specific buyer concerns. It also streamlines sales processes to enhance customer experiences and gather competitive intelligence. Furthermore, it pinpoints areas for retention and expansion efforts. This data-driven approach ensures that sales strategies are responsive to current market dynamics. It also proactively addresses potential challenges and opportunities. Additionally, closing the feedback loop by communicating to customers how their input has influenced business decisions is crucial for reinforcing the value placed on customer insights. 2.8. Automation of Routine Tasks A significant portion of a salesperson's time can be consumed by manual data entry and report generation. Automating data entry and reporting frees up reps to focus on more strategic initiatives that drive growth. Robotic process automation (RPA) tools seamlessly capture data from multiple systems, populate CRM and sales databases, generating regular performance reports. While lead qualification is essential for identifying and prioritizing promising opportunities, automated lead scoring uses demographics, behavior, and history to gauge lead quality. Bots can further enrich profiles with firmographic data and intent signals. Forrester also predicts that the market for AI-powered platforms will grow to $37 billion by 2025. Intelligent scheduling automation enables reps to automatically sync calendars, rapidly find mutual availability, and instantly book meetings. The automated collection and analysis of buyer and account data to uncover sales opportunities scrape data sources to update key prospect details like technology stacks, initiatives, and structures. 2.9. Real-time Analytics: The ability to access and analyze data in real-time is becoming crucial. This immediacy allows for quicker adjustments to sales strategies and more timely responses to customer needs. Traditional lead scoring models, based on past behavior analysis, are giving way to real-time analytics. These models assess prospect engagement as it happens. This method provides instant insights into buyer signals across multiple channels, revealing key changes in stakeholder influence and priority requirements. Such timely intelligence allows sales professionals to adjust their approaches and negotiations more effectively. Real-time analytics also monitors competitors’ online activities. They alert sales teams about the new product launches and marketing efforts. This enables quick strategic adjustments to maintain a competitive advantage. Additionally, it tracks evolving buying behaviors and preferences and offers a transparent view of the true ROI from campaigns and marketing assets. This way, they let the sales teams customize business strategies with sales intelligence for improved outcomes. 2.10. Predictive Analytics Using the power of AI analytics in sales, firms are dissecting vast data to forecast trends and shape strategic actions, enhancing agility in market responses. Voice of the Customer (VoC) analysis is crucial for gauging consumer insights from diverse data points like reviews and social media. It enables rapid sentiment analysis and product adaptation. Additionally, adapting to sales changes allows real-time analytics to revolutionize advanced business strategies like customer engagement. This enables on-the-spot adjustments to sales approaches. Predictive analytics further extend to refining pricing, inventory, and supply chain management, showcasing its broad utility in business optimization. 2.11. Alignment of Sales and Marketing Integration of sales and marketing, also known as "Smarketing," is becoming increasingly important. Integrating sales and marketing procedures and goals lets them work together throughout the consumer journey. Contemporary sales methodologies also encompass the application of digital tools to generate streamlined and customized product demonstrations tailored to the clientele's specific requirements and inclinations. Businesses with sales marketing alignment say that goal attainment is 107% more likely than companies with misalignment. With the assistance of sales intelligence tools, sales and marketing function integration is becoming increasingly prevalent. This alignment guarantees uniformity in customer correspondence and enhances the effectiveness of lead management. 2.12. Enhanced Customer Profiling Enhanced customer profiling is still a trend among top sales technologies to boost buyer engagement. This is because customers tend to prioritize personalization and data-driven insights over the traditional ways of knowing the product. Advanced business intelligence in profiling techniques for customer profiling includes demographic, psychographic, and behavioral data, allowing for more targeted sales approaches. This gives rise to better ads, that suit the right target audience and appeal businesses to buy the product or service. Customer profiling thus helps increase profits, engage more customers, make marketing easier, and help understand the customers better. 86% of customers say that they are ready to pay more if it means getting a better customer experience 2.13. Blockchain for Sales Data Security and Transparency Most companies store sales data in centralized databases and data lakes. While convenient, these repositories have single points of failure that make data vulnerable to cyber-attacks and insider threats. Blockchain is a distributed digital ledger that establishes trust, accountability, and transparency without a central authority. In blockchain, data is distributed across many nodes in peer-to-peer networks, eliminating single points of failure. In addition, transactions are secured with cryptographic hashing and digital signatures to prevent tampering. For any business that values sales data security and transparency, blockchain is the future. This is because it enables encrypted storage, granular access controls, irrefutable audit trails, and supply chain traceability for sales records. 2.14. Quantum Computing in Data Analysis Although still in its infancy, quantum computing presents a potential for handling extraordinarily complex data analysis much faster than current technologies. It provides unprecedented insights into business intelligence trends, including customer behavior and market trends. Quantum computing can process data exponentially faster than classical computers. Certain types of data analysis tasks like pattern recognition, clustering, and regression analysis can be accelerated massively using quantum algorithms. This aspect lets the sales teams crunch large datasets in seconds as opposed to hours or days. Quantum machine learning algorithms are extremely adept at detecting hidden patterns and insights in complex, noisy datasets. Quantum machine learning models like quantum neural networks can deliver far more accurate predictions than the classical techniques. This increased predictive precision allows sales teams to forecast sales more reliably. 2.15. IoT-enabled Sales Intelligence The Internet of Things offers new streams of real-time data. Executives can leverage this for live insights into how products are used, enabling more next-level sales strategies for precise targeting and product development. IoT creates intelligent systems that sense, analyze, and integrate data from across the. It then translates it to new streams of information on prospective buyers, their behaviors, and their interactions with the company. It identifies promising new prospects by tracking digital signals like web traffic, content downloads, and social media engagement. Smart sensors enable the tracking of prospects through the sales funnel by monitoring online and offline interactions. To leverage IoT for next-level sales, organizations need capabilities to ingest, process, analyze, and interpret the influx of data. These include prescriptive analytics, augmented intelligence, smart data visualization, contextual guidance, among others. 3. Final Thoughts As we look towards the future, sales intelligence in advertising is set to become more sophisticated and integral to business success. The continuous refinement of technologies and strategies will enable organizations to meet and even exceed the consumers’ ever-increasing expectations for personalized and engaging experiences. The integration of quantum computing and IoT will further amplify the ability to process and analyze data. It will open new avenues for customer engagement and strategic decision-making in sales. This intelligence in sales promises an era where advanced analytics, deep customer insights, and strategic alignment between sales and marketing converge to boost customer happiness and business growth. This foreseen evolution will empower businesses to manage the intricacies of digital advertising and forge stronger connections with their customers. Eventually, the process sets the stage for sustained competitive advantage and revenue growth.
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Ad Tech and Martech
Article | May 14, 2024
PALM SPRINGS, Calif.—Let’s clear up some likely misconceptions about what happens at a cannabis convention: No, they do not shoot weed out of T-shirt canons. And they don’t give it away for free—that’s illegal, even in the most permissive states.
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Advertiser Campaign Management
Article | August 12, 2022
Advertising metrics provide clear information on the success and failures of an ad campaign. They are a practical tool to track all aspects of your marketing activities as well as how your campaign compares to designated metrics. Take a look at your campaign health metrics to understand your campaign’s performance. These metrics aren’t exactly KPIs (key performance indicators) because they are not tightly connected to your marketing goals. However, they do support the important ad metrics. They can give you insights into how to improve an ad campaign on your level.
Check out this list of valuable metrics to add to your armory if you really want to find the value of your content, the value of your audience, and the success of the advertising you're hosting.
Cost Efficiency Metrics (CPCs, CPMs, CPVs)
Understand what your initial interaction with your audience is costing you. Metrics like cost per click, cost per mille and cost per view are foundational to determining where you need to focus to optimize your campaign while ensuring you have an eye on the changing trends.
Click-Through Rate
To understand how relevant your ads are to your audience, you need to look at your click-through rate. A low click-through rate means your ads have a huge scope of improvement and that you might not be targeting the right audience to meet your marketing goals. To avoid losing your ad spend, quickly identify drops in performance and alter your ads to make them relevant to your target audience.
Conversion Rate
The conversion rate of your ad indicates the relevance of your landing pages and how well they are optimized for conversion. If the conversion rate is low, it means that your site’s content is not resonating with your audience or that the audience you are targeting isn’t right for your product or service. It could also mean that your audience isn’t at the right stage of the funnel to take an action. You can make changes based on how this metric looks.
Impression Share
This metric helps you understand how much you can scale your campaign through aggressive bidding. It can also highlight underperforming keywords and how you can enhance your campaign by adjusting the budget. Adjusting geo-targeting settings and improving ad quality are some of the ways to increase the impression share.
On-Site Engagement
To gauge the interest of the audience in your ad campaign, keep an eye on on-site engagement metrics like bounce rate, average number of pages visited, and average session duration. These are the real measures of the interest your prospects show in your ads.
Quality Score
A quality score helps you identify ways to improve your campaign. This score gives you a comprehensive look at all the individual scores that affect your campaign. The historical data that evaluates the changes in your campaign over time is visible here. You can pinpoint which changes led to a positive impact and which didn’t.
Bottomline
Campaign health metrics are your answer to improving your ad campaigns. Taking note of what is working and what isn’t is the right way to constantly enhance the performanc
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