How AI fits into the martech landscape

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30-second summary: Today, artificial intelligence, sensors, and digital platforms—and an explosion of data—have already increased the opportunity for learning more effectively; but competing on the rate of learning will become a necessity in the 2020s. The Lean AI Autonomy Scale serves as a framework for assessing how the different capabilities of martech vendors stack up with AI in the industry. All major ad platforms and exchanges are powered today by a dizzying array of complex calculations with the goal of delivering your message to the right audience at the right time — and encouraging people to take an action, buy a product, or a host of other outcomes a marketer might be looking for. Today, we’re at a place where buy-side solutions are emerging that operate a layer above the platforms themselves, working to orchestrate your spend, targeting and even creatives across channels. A range of emerging vendors are out there today using Artificial intelligence to automatically optimize advertising spend and targeting. A big change is coming to martech in the next five years as more companies race to be more dependent on strategy and less dependent on humans orchestrating their campaigns. Sooner rather than later, machines will do the heavy lifting of creating enormous value across the entire customer experience. Today, artificial intelligence (AI), sensors, and digital platforms—and an explosion of data—have already increased the opportunity for learning more effectively; but competing on the rate of learning will become a necessity in the 2020s. The dynamic, uncertain business environment will require companies to focus more on discovery and adaptation instead of forecasting and planning. Artificial intelligence, particularly machine learning, has played an important role in digital advertising for a long time now. In fact, the industry wouldn’t exist at this scale without AI powering the performance of your campaigns. Cutting through the noise: A framework for assessing the state of martech There is no shortage of claims in the world of martech — particularly when it comes to artificial intelligence. How can you systematically assess vendors and their claims, and get an accurate sense of the state of the art? A good way for marketing leaders to do that is to use the Lean AI Autonomy Scale framework below to help you assess how the different capabilities of vendors stackup with AI in the industry: The Lean AI Autonomy Scale Most marketing teams are in the process of figuring …

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The dark side of marketing technology (martech)

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30-second summary: Complexity is an ongoing challenge. Martech’s proliferation of data and tools can be overwhelming, making it difficult to keep technology up-to-date and staff up-to-speed on how best to utilize the stack. Finding the right talent is another big pain point. A technical marketing landscape requires technical skills, but marketing still requires creativity, empathy, and humanity. Avoid the temptation to over automate. Balancing data with creativity is incredibly important, particularly in the post-COVID-19 marketing universe. Consumer behavior and sentiment can change in an instant, so messaging must be authentic, appropriate, and supremely human. Martech stacks tend to be underutilized, meaning companies are wasting money by not fully leveraging their martech. Understanding the pitfalls listed here can help businesses better plan and maintain their stacks and the resources needed to ensure they facilitate business growth. Marketing technology (martech) touches every aspect of modern business, going far beyond the marketing department …

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What leading consultants say about the usage of AI in marketing?

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30-second summary: In Deloitte’s 2019 CMO Survey Report, 56% of participants anticipated using AI for content personalization. 33% of respondents foresee applying AI for improving marketing ROI by optimizing marketing content and timing. Mckinsey’s survey found that 44% of companies reduced operational costs and increased business revenue by using AI in marketing. The Bain and Company found that marketing insights gathered through new machine-learning capabilities helped gain 10x in marketing performance. The company also saw a 25% increase in additional revenue through cross-selling. An EY study of CEOs and business leaders reveals that 62% of respondents believe artificial intelligence will have a significant impact on creating efficiencies at their company. In a survey conducted by BCG, 90% of respondents agreed that artificial intelligence represents a business opportunity for their company. However, 70% of companies report minimal or no impact from AI so far. Marketers have started using artificial intelligence to …

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7 enterprise level providers of AI-enabled marketing solutions

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30-second summary: We provide seven examples of enterprise-level providers of AI-enabled marketing solutions as well as case studies for each. Each of these companies are leaders in their respective category, with B2B and B2C organizations each benefiting from their AI-enabled solutions. This list is not inclusive of every enterprise-level provider, but is meant to give mid-to-enterprise-level organizations an sense of the best-in-class tools that exist in the market today, and how organizations are using them to improve their marketing, sales, and customer experience initiatives. As part of our ongoing coverage of artificial intelligence (AI) in marketing, we’ve compiled a list of ten enterprise-level providers of technology solutions that utilize AI in some capacity. This list covers key categories within the martech space including digital asset management, marketing and sales enablement, customer experience/engagement, and account-based marketing. This list is not – by any stretch of the imagination – comprehensive in terms …

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AI and social media marketers in B2B marketing campaign

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30-second summary: The alignment between advanced technologies and B2B marketing has evolved. Artificial Intelligence (AI) has the potential and capabilities to push B2B marketing to new heights. In past AI was just a thing of sci-fi movies and scientific laboratories. Today it has been used abundantly by a number of industries and marketing is no exception. Digital B2C marketers are already leveraging the power of AI for digitizing their social media campaigns and making them more engaging and appealing. In the B2B context, marketers can also use AI and transform the buyer journey. AI not only helps in identifying the right clients, but it can also be used to satisfy the needs of those customers. Finally, AI is the best thing for B2B social media marketers because it automates processes and let them save time that can be utilized in core activities. Without a doubt, artificial intelligence has touched every …

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What leading consultants say about the usage of automation in marketing

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30-second summary: As per the CMO Survey Report 2020 by Deloitte, the implementation of AI and machine learning is likely to grow in three years to 3.5. As per an article by McKinsey & Company, organizations introducing technology to sales can find ways that deliver double-digit gains in return-on-investment. Automation is possible in 30% of sales activities. The most recent AI survey by Bain and Company analyzed that organizations that make use of AI were 4.2 times more likely to have access to standard tools and technologies than the others. A study co-sponsored by EY in 2020 revealed that 85% of participants have already implemented AI within their organizations and expect to use AI for new use cases in the coming years. According to a survey by Accenture, around 83% of more than 6,000 businesses accepted that technology is a crucial part of the human experience. As per a recent …

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5 tips to accelerate your company’s AI implementation

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30-second summary: The potential of artificial intelligence is almost boundless. AI solutions are starting to be introduced by organizations across many industries and fields. A strong starting point for any AI implementation is to get buy-in from company decision-makers. If key stakeholders understand AI’s potential, they’ll properly resource any transition. AI is particularly useful in the field of data analytics. If you are going to join the ‘Big Data’ era, you need robust data governance. There’s no one-size-fits-all approach to AI implementation. You need to explore and test the different tools and solutions available to you. Don’t neglect the human side of your business in seeking AI-driven answers to your problems. Make sure you train staff effectively in all automation or AI tools you introduce. It’s not insider information to know the unmatched potential of company-wide AI implementation. Even with all the advancement in recent years, it still feels like …

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How Natural Language Processing Affects Digital Marketing

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“Natural language processing” (NLP) sounds complicated, but its applications are simple. Chances are, you already use NLP dozens or even hundreds of times per day. For example: If you use predictive text on your phone, you’re using NLP. When you search for something on Google , you’re using NLP. If you ask a voice assistant like Alexa or Siri a question, you’re using NLP. What exactly is natural language processing? What do you need to know about it? What impact does it have on digital marketing? Let’s find out. What Is Natural Language Processing (NLP)? Language is natural to humans, but the same can’t be said for computers. Understanding the context behind our words is a huge challenge for them. NLP is all about changing that. Natural Language Processing is an area of artificial intelligence (AI) that leans on disciplines like computer science and computational linguistics to enable computers to …

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Five examples that demonstrate the value of AI for B2B marketers

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30-second summary: The global AI software market is expected to reach nearly $23 billion by 2025, according to data from Statista. AI offers several powerful functionalities within in ABM platforms to facilitate selling. Predictive analytics, which uses historical data, machine learning, and statistical algorithms to predict future outcomes, it’s particularly useful for campaign planning and optimization. CRM tools like HubSpot and Salesforce Einstein have AI features like predictive analytics and machine learning built in. AI can help brands in heavily regulated industries avoid compliance issues when posting to social media via the use of AI. DAM platforms enhanced with AI capabilities help to streamline and automate many aspects of managing distributed content such as images, video, and other media. If it seems like AI is everywhere these days, that’s probably because it is. The global AI software market is expected to reach nearly $23 billion by 2025, according to data …

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How to Write PPC Ad Copy Using AI

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It’s no secret: the world of PPC advertising is not for the faint-hearted. If you don’t know what you’re doing, you could end up throwing money down the drain. How can you increase the chances of the right people clicking on your ads? You need to learn how to write ad copy that converts. Thankfully, technological advancements like artificial intelligence (AI) are here to save the day. AI tools can help you write ad copy that produces results. How Can Artificial Intelligence Help Your PPC Campaigns? Just so we’re on the same page, let’s quickly look at a simple definition of AI. Artificial intelligence (AI) is a multidisciplinary branch of science that includes machine learning (ML), natural language processing (NLP), deep learning, and many other emerging technologies. The main benefits of AI when it comes to creating compelling PPC ad copy include: Unmatched data processing power Ability to better “predict” …

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Top 10 marketing-related AI thought leaders to follow

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30-second summary: AI can help marketers deliver better overall customer experiences across all digital channels. The key to success is in using it logically, ethically and in key areas where it can assist, save time and resource and help scale campaigns and performance. To gain a better understanding of the benefits to marketing it is best to build your knowledge from a wide range of perspectives to identify the best use cases. We look at 10 influencers worth following to get a good handle on how AI can and should effect the marketing sector. Adoption of Artificial intelligence (AI) is growing worldwide, with a recent IDC report identifying the ability to deliver a better customer experience, greater employee efficiency and accelerated innovation as the leading drivers for adoption. AI now powers marketing processes across the customer journey, from insights, search optimization and content marketing to personalization conversion optimization, predictive analytics, …

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