263 notes tagged as ["data analytics"]

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  • BEST PRACTICE, DATA ANALYTICS, LOYALTY

    In today’s competitive market, leveraging the right metrics can mean the difference between a successful loyalty program and one that fails to engage customers. In this blog post, we’ll dive into essential loyalty program metrics , best practices for tracking them, and all the questions you might have about the best metrics to track in a loyalty program.

    Key metrics to track in a loyalty program

  • AI, DATA ANALYTICS, MARKETING

    AI-powered analytics and automation tools give marketers an opportunity to drastically improve their campaigns, but data analytics still only influence around 50% of marketing decisions. Why aren’t more companies taking advantage of this technology?

    Numerous barriers to entry are stymying attempts at AI transformation, including the need for high-quality, accessible data and a platform that can consolidate marketing data from multiple systems.

  • BEST PRACTICE, CUSTOMER BEHAVIOUR, DATA ANALYTICS, ONLINE ADVERTISING, PRIVACY

    Third-party cookies are here to stay on Chrome — but identifiers for iOS, Safari, and potentially Android are not. While this is a temporary relief for some, consumer behavior and privacy expectations have already shifted permanently. 

    Our comprehensive “Addressability & Performance Best Practices Study” offers timely analysis on the current state of identity, what to expect in the next 6-18 months, and identifies critical gaps during this transitional period.

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  • DATA ANALYTICS, MARKETING, PRIVACY, STRATEGY

    Industry Outlook Report: Navigating the First-Party Data Revolution

    The shift from third-party cookies to first-party data is powerful to say the very least. This recent evolution presents numerous opportunities for marketers to make wiser, more impactful decisions. From retail to travel and more, this level of customer personalization is critical for those leaving third-party-cookie data behind and looking toward the future gold mine of first-party data.

    So, what are the best and most practical tips to pay attention to as a marketer looking to effectively employ first-party data? We partnered with Industry Dive to create this industry report, where we explore:

  • AI, DATA ANALYTICS, PRICING

    For retailers, unlocking the mysteries of cost

    In the face of increasing consumer price sensitivity, retailers need a full understanding of their costs, including the underlying manufacturing costs of the products they sell, in order to manage margins and compete effectively. New tools, powered by artificial intelligence, enable just that.

    These new capabilities, such as BCG’s own Retail AI, put retailers across industry segments—including grocery, mass market, apparel, and home improvement—in a position to build out data sets and product compositions by leveraging AI (for analyzing existing data) and generative AI (GenAI). Retailers can obtain a clear picture of what a product should cost and how its suppliers stack up against that target. They can also track changes in costs over time to reveal the biggest opportunities for savings by vendor, category, and other parameters based on commodity price movement. Using these new tools can deliver better prices for customers and boost sales for retailers and their suppliers.

  • BEST PRACTICE, CASE STORIES, CUSTOMER BEHAVIOUR, DATA ANALYTICS

    Unlock the power of customer data in retail

    Senior leaders must harness the power of first-party customer data to drive strategic decisions and operational excellence. Our latest ebook, “Customer Data: The Real Story,” is an essential guide for execs looking to transform raw data into actionable insights.

    Authored by industry thought leaders, including Professor Jose Luis Nueno who is an expert in Marketing and holds the Intent HQ Chair on Changing Consumer Behavior at IESE Business School. This resource provides the vital frameworks and strategies needed to leverage customer data effectively, enhance customer experiences, and significantly boost profit margins within the retail landscape.

  • DATA ANALYTICS, DISCOUNT

    A retail pricer's guide to developing more effective promotions

    For far too long, retailers have lacked the tools they require to truly understand the impact of their promotions. As a result, brands often cling to predictability and re-run the same promotions every year, regardless of whether or not they are the best offers to achieving the desired outcomes.

    Fortunately, we now have the AI-enhanced analytics tools we need to effectively evaluate how our promotions impact all the business-wide metrics that drive optimal results.

  • DATA ANALYTICS, SUSTAINABILITY

    How in-store analytics fuel sustainable retail

    According to Deloitte’s 2023 CxO Sustainability Report, 73% of CxOs in the Consumer Industry have increased their investment in sustainability over the past year due to pressure from stakeholders such as customers, board members, and regulators. The report outlines the key changes companies have made to move the needle on sustainability:

    59% use more sustainable materials (like recycled materials and lower-emitting products); 

  • BEST PRACTICE, DATA ANALYTICS, MARKETING, PRIVACY, STRATEGY

    The marketers first-party data checklist

    As the era of third-party cookies draws to a close, the significance of utilizing first-party data amplifies for strategic marketing. This checklist equips you with the essential framework to harness the power of first-party data effectively.

    “The Marketers First-Party Data Checklist” from OneTrust provides a roadmap for refining your approach in constructing personalized, privacy-compliant marketing strategies that foster trust and cultivate robust customer relationships. By following the checklist’s steps, you’ll seamlessly navigate the process from collection to analysis, unlocking the power of first-party data to drive engagement and build trust.

  • B2B, BEST PRACTICE, CASE STORIES, CUSTOMER BEHAVIOUR, DATA ANALYTICS

    Discover true buyer-level intent data

    What if we told you that the stories are true? That there is another form of intent data out there  — untapped and only whispered about, as if it were a close encounter of the third kind. It’s all true: buyer-intent data is no myth, at least not anymore. We can prove it.

    Read The Proof is Out There: Discover True Buyer-level Intent Data for industry-revolutionizing, practical insights on how to use buyer-level intent data for B2B Demand Gen from breakout B2B stars like Gini Dietrich, Lee Odden, Mario Martinez Jr., Scott D. Clary, Matt Heinz, Morgan J. Ingram, Pam Didner, and A. Lee Judge.

  • CUSTOMER BEHAVIOUR, CUSTOMER INSIGHTS, DATA ANALYTICS

    How to use product analytics to boost sales

    Sales are one of the most vital aspects of running a business and aren’t something you’ll want to take lightly. Every transaction represents revenue and growth, and luck isn’t enough because boosting your sales requires insight, strategy, and precision.

    Fortunately, product analytics can guide you along the path to sales mastery. This powerful tool reveals the mysteries of customer behavior, preferences, and trends, so you don’t have to go blindly into the abyss.