Five tools that can help you break free from data paralysis

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30-second summary: Data paralysis is a natural consequence of the marketing technology businesses use daily, but there are tools that can help manage the proliferation of data so that it can be used efficiently and effectively. In this post, we review five tools, each of which help mitigate the data paralysis connected to a specific area of data usage including CRM, lead management, business insights, customer experience, and website traffic/campaign analysis. The tools listed here are examples of the technology that exists to help manage and leverage data. There are many more tools available, so be sure to research solutions that fit within your budget and business type. Data paralysis is a real problem. The proliferation of martech tools and marketing touchpoints has created a wealth of data which, while a boon for businesses, can also present challenges when it comes to data management, analysis, security, and consistency. A 2018 survey of nearly 400 marketers by Fospha Marketing found that a third of respondents believed their company analyzed less than 20% of all consumer data available to them. The same survey found that only 33% of brands believe their current measurement perform accurate attribution of all media and data. What martech giveth, martech can taketh away The problem of too much data is exacerbated by the proliferation of martech tools that companies use to obtain information from consumers. To combat this, marketers have begun adding even more tools to their tech stack. The Fospha survey found that businesses use an average of 7 technologies just to extract insights from their data. While CRMs, CX software, marketing measurement and analytics platforms, and other data-driven technologies have the potential to deliver comprehensive customer insights, they don’t always paint a clear picture of your customers’ needs or buying journey. But as the martech landscape grows, new tools—many of them AI-driven—have emerged to help businesses automate the task of making sense of data. In this post, we’ll cover five solutions that can help marketers overcome data paralysis by automating and streamlining the process of collecting, cleaning, managing, and analyzing customer and business data. Solution #1: Clean CRM data with Insycle Solution #2: Automate lead routing and matching with LeanData Solution #3: Use IBM Watson for AI-enabled business insights Solution #4: Obtain automated CX insights with Medallia Solution #5: Visualize your campaign and website data with Google Data Studio Solution #1: Clean CRM data with …

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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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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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5 leading providers of enterprise marketing automation solutions

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30-second summary: We provide five examples of enterprise-level providers of marketing automation solutions including industry case studies. Each of these companies are leaders in marketing automation, with enterprise businesses (and, in some cases, SMBs) benefiting from their platforms, solutions, and technology. This list is not inclusive of every enterprise-level provider, but is meant to present an overview of best-in-class tools that exist in the market today, including tangible examples of how organizations are using them to improve their marketing, sales, and customer experience initiatives. It’s marketing automation week at ClickZ, and as part of our coverage of this game-changing technology, we’ve compiled a list of the top five enterprise-level solutions based on market share. The global marketing automation software market was $2.4 billion in 2019 and is expected to reach over $6.8 billion by 2026. Social Media Today’s 2019 State of Marketing Automation survey revealed that two-thirds of marketers are …

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Understanding the role of voice in martech

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30-second summary: Voice technology is being widely adopted, thanks to the global distribution of voice assistants like Google Assistant, which is installed in over 1 billion devices as of 2020. Improvement in voice recognition accuracy is also helping with widespread adoption of voice technology. Google achieved a 95% accuracy rate for the English language as of March 2017. This is the same threshold for human accuracy. 82% of consumers expect an immediate response on sales or marketing. Voice recognition technology, which enables the immediacy of customer service responses, is addressing this need for many businesses. Voice-enabled tools are increasingly being employed within an organization’s martech stack, to facilitate internal operations. Examples include speech-to-text transcription tools, real-time conversational analysis, and automated call listening/conversational analysis platforms. Voice technology is playing an ever-growing role in a variety of martech applications, from AI-powered transcription tools like Trint to signal-based AI tools like Cogito that …

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What the Stackie Awards can teach us about the perfect martech stack

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30-second summary: The Stackie Awards are presented each year at the annual MarTech Conference, a conference series put on by Chiefmartec.com, Third Door Media, and MarTech Today. There were 48 entries in the 2019 Stackies, with five winners. We reviewed all entries to glean some insights from how all entrants (not just the winneres) visualize their martech stack. There is no perfect martech stack. Each stack is custom fit to match a company’s industry sector, marketing approach, and unique needs. The Stackies don’t require entrants to stick with specific categories, but most included variations of the following: planning/strategy, Creative, Engagement/Marketing, Customer, and Measurement/Analytics. The Stackie Awards are presented each year at the annual MarTech Conference, a vendor-agnostic conference series put on by Chiefmartec.com, Third Door Media, and MarTech Today. The Stackies challenge entrants to visualize the tools in their martech stack, illustrating how each marketing category is connected. This helps …

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Why digital transformation should be your new demand gen strategy

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30-second summary: Ensuring that your business has the right digital tools can facilitate growth by enabling marketing and sales teams to improve brand engagement, better analyze data, more easily create content, and improve CX. Demand generation is facilitated by the right tools which can help marketing teams scale activities such as content management, lead nurturing, social media optimization, ABM, and more. There is no such thing as an average martech stack. Customization of tools is key to figuring out what works for you to achieve business growth. Chiefmartec’s Stackie awards include nearly 50 illustrations of martech stacks from a vareity of businesses which demonstrate how varied martech stacks can be. Incorporating tools that enhance and facilitate customer experience is an important (even critical) ingredient to using digital transformation for demand gen. Using technology to enhance business processes is nothing new. The very first business computer — The Lyons Electronic Office …

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Allocadia’s MPM platform will inspire you to ditch your marketing spreadsheets

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30-second summary: Founded in 2010 by twin sisters Kristine and Katherine Steuart, Allocadia has over 100 employees around the world. Allocadia serves mid-to-large businesses with their cloud-based MPM platform, which is available at three price points, depending on the level of management required. MPMs enable companies to plan, gain insights, and optimize multiple marketing campaigns and programs from one central location. After implementing the platform, Allocadia customers can begin seeing results within thirty days. Since Juniper Networks implemented Allocadia seven years ago, the marketing team has closed the quarter within 1% of target for the past 29 quarters. After Microsoft implemented Allocadia in 2016, the company experienced an 88% reduction in manual data entry, were able to account for 100% of field marketing dollars, and generated over 1 million leads via planned marketing activities. By using Allocadia’s tools, GE Digital’s marketing organization reported 2.55 times greater return on marketing investment …

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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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Exponea clarifies the differences between CDPs, DMPs and CRMs

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30-second summary: Exponea created a Knowledgecard, CDP vs DMP vs CRM, which serves as a handy cheat sheet to help clarify the definition and purpose of each martech solution. Customer Data Platforms (CDPs) collect first-party data from online and offline sources in real-time, creating a unified view of each customer that enables ultra-personalized targeting for marketing campaigns. Data Management Platforms (DMPs) segment anonymous third-party data from other websites that can be used to create audience segments for marketing campaigns. Customer Relationship Platforms (CRMs) are utilized by customer-facing teams, including sales, customer support, and client/customer advocates to facilitate managing a company’s relationships with existing or potential customers. CDPs, CMS, SaaS… the world of marketing technology (martech) is punctuated by acronyms representing a host of technologies that can be confusing to parse through, particularly when companies are evaluating what they need to add to their tech stack. Chiefmartec’s infamous graphic, the Martech …

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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 …

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