Webinar: How to Attract and Retain the Modern Shopper

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Make personalization consistent and frictionless |
Insider Intelligence | eMarketer
Hi ,

Consumers expect brands to orchestrate relevant and personalized interactions across multiple channels in real time. Nearly 70% of consumers want retailers to make personalization consistent and frictionless, no matter the channel, according to Redpoint Global and Dynata research.

To do so, marketers must have a personal understanding of each consumer. They need perfected customer data that is immediately available to any touchpoint across the enterprise.

Join Redpoint Global's John Nash, chief marketing and strategy officer, for this live Tech-Talk Webinar. He will share how to utilize your customer data to create tailored experiences in the context and cadence of your consumer.

Register here for "Surpass Expectations: How to Attract and Retain Modern Shoppers," presented by Redpoint Global, and learn how to:

  • Unify disparate customer data into a single point of control to create personalized customer interactions
  • Utilize analytics and machine learning to determine the next-best action
  • Orchestrate relevant, hyper-personalized experiences across all touchpoints to communicate with your consumer as a segment of one
Reserve Your Seat →
Please reserve your seat today for Wednesday, June 9 at 2pm ET.

This Tech-Talk Webinar is sponsored content by Redpoint Global.

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The most impactful steps brands can take to deliver better CX and improve sales after a challenging 2020

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Insider Intelligence

6 CX Trends That Will Stick Post-Pandemic

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The customer experience (CX) landscape has changed dramatically over the last year as pandemic-induced lockdowns and social distancing pushed many consumers to try several technologies and experiences, such as click and collect, proximity payments, and augmented reality (AR).

In The Ecommerce and Retail Customer Experience 2021 Report, Insider Intelligence discusses some of the top CX developments in both online and offline retail, including first-party data, AR, contactless payments, click and collect, and frictionless checkout.

In full, this exclusive report:

1 Discusses whether or not pandemic-inspired ecommerce and retail experiences are here to stay
2 Explains how online and offline transactions are becoming more frictionless
3 Examines why marketers are focused on first-party data

Get all of these insights and more when you purchase The Ecommerce and Retail Customer Experience 2021 Report for $995.
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Webinar: Contextual Advertising—Then and Now

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How this legacy tactic is an effective solution for 2021 |
Insider Intelligence | eMarketer
Hi there,

The deprecation of third-party cookies is the most universal challenge for digital media professionals, according to the Integral Ad Science (IAS) 2021 Industry Pulse Report. The media industry has been busy establishing cookieless advertising solutions designed to drive advertising outcomes for marketers while offering media owners better data security and consumers increased privacy.

(Re)Enter contextual targeting.

Traditional contextual targeting was built on the premise of providing a marketer with content categories that best match brand advertising objectives. But our industry demands more. The next level of contextual targeting brings together first-party data and contextual signals to make this legacy approach a promising solution for performance marketing objectives.

Learn how marketers can enhance their contextual campaigns, shape their future marketing strategy, and ultimately drive better outcomes for their business. Join Criteo's Todd Parsons, chief product officer, for this live Tech-Talk Webinar.

Register here for "Contextual Advertising: Retro or Revolutionary?" presented by Criteo, and learn:

  • Contextual advertising: then and now
  • How to future-proof your targeting
  • How to better monetize media with contextual advertising
Reserve Your Seat →
Please reserve your seat today for Tuesday, June 8 at 9am ET.

This Tech-Talk Webinar is sponsored content by Criteo.

Insider Intelligence

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Click and collect was already gaining steam before 2020, and it's showing no signs of slowing down in the near future

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Massive Growth, 5 Big Players, and Permanent Behavioral Changes

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The click-and-collect method for online shopping boomed in the US last year in parallel with the explosive embrace of ecommerce driven by the pandemic. A handful of major multichannel retailers are leading this continuing trend.

In The US Click and Collect in 2020 and 2021 Report, Insider Intelligence presents our latest click-and-collect forecast for the US, with an emphasis on aggregate sales figures, total buyers, and the major retailers that are driving click-and-collect outcomes.

In full, this exclusive report:

1 Provides a look back at how much of a leap click and collect made in 2020
2 Examines whether or not click and collect will hold its momentum after the pandemic wanes
3 Discusses which companies are driving this ship
4 Forecasts the next big story

Get all of these insights and more when you purchase the US Click and Collect in 2020 and 2021 Report for $1,995.
Buy the Report Today →

Interested in more Insider Intelligence research?

Buy The Next Phase of Payments & Commerce Bundle and gain immediate access to 8 reports covering you on the most disruptive trends in the industry.
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Interoperability has long been a pain point for the US healthcare system—and the pandemic introduced data-handling challenges of its own

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How Tech Giants and Digital Health Startups Are Using Cloud, Health Information Exchanges, and AI to Address Long-Standing Issues with Data Sharing

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One of the biggest obstacles to streamlined, high-quality healthcare in the US is a lack of interoperability—namely, that payers and providers can't easily and securely share patient data. Not only has the surge in telehealth use amid the pandemic brought this issue to the fore, but federal regulations that went into effect last month have put it center stage. Various solutions on the market can break down data exchange barriers and enable streamlined care, but ingrained data exchange practices, privacy concerns, and the persistently high number of COVID-19 cases may hamper efforts toward regulatory compliance.

In The Healthcare Interoperability Report, Insider Intelligence examines how healthcare payers and providers can leverage cloud computing, HIEs, and AI to comply with the recently enacted data-sharing guidelines and, in turn, improve patient outcomes and cost savings.

In full, this exclusive report:

1 Examines how tech giants and digital health startups are using cloud, health information exchanges (HIEs), and AI to address long-standing interoperability issues in the US healthcare system
2 Presents the opportunities federal data-sharing mandates of April 2021 have created for vendors with interoperability-focused solutions
3 Highlights the challenges that payers and providers could face when working to comply with the interoperability regulations

Get all of these insights and more when you purchase the Healthcare Interoperability Report for $1,995.
Buy the Report Today →

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Faced with fierce competitive threats and unprecedented challenges, incumbent insurers need to double down on AI use

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Over the past few years, insurers have lagged other sectors in implementing AI, leaving a gap for more tech-savvy firms to swoop in and disrupt the space: This year, US-based insurtech Lemonade—which uses AI to provide quotes, handle claims, and answer customer questions—became the first insurtech to top the home insurance customer satisfaction ranking in J.D. Power's annual US Home Insurance Study.

Meanwhile, consumers are twice as likely to buy insurance from big tech firms as they were four years ago, reshaping the value chain away from incumbents. If this wasn't enough of a wake-up call, the pandemic has pushed customers to increasingly use digital channels, putting further pressure on insurers to improve their AI-powered services.

Machine Learning is by far the most commonly referenced technology by insurers when talking about their use of AI. It focuses on the development of computer programs that can learn from the data they have access to, identify patterns, and make faster decisions than...
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