While the past few years have yielded technology and tools that have helped improve customer experience efforts (think cross-device identity graphs, online-to-offline [O2O] data matching and more advanced attribution approaches), they have also brought new obstacles.

For over a decade, Todd has built marketing solutions at the intersection of consumer identity and data. Prior to Criteo, Todd’s team established OpenX as the first people-based programmatic marketplace. As CPO of SocialCode, Todd developed products to activate and measure first-party audiences across Facebook, Amazon, YouTube, and more. Moderator.

Bill works with major media companies, ad tech, measurement and identity companies, sports properties, as well as major advertisers to leverage Snowflake’s mission critical data initiatives. Earlier, Bill was in charge of data strategy and operations with Time Warner's Turner Broadcasting, and also held roles at SAS Institute and Digitalsmiths. MODERATOR.

Alex leads product marketing for Conviva’s advertising solutions and is focused on the product strategy, positioning, and go-to-market for Advertising Insights, Conviva’s identity and measurement solution built for the streaming landscape. Prior to Conviva, Alex was the product marketing lead for FreeWheel’s audience and data solutions.

FinGo lets users verify their identities and authenticate transactions using their unique finger vein patterns. The partnership gives FinGo access to Mastercard’s white-label payment processing solution, Mastercard Payments Services Gateway (MPSG), to help it grow its footprint in the Middle East, North Africa, Asia Pacific, Australia, and North America.

She spent nearly a decade as a lead analyst at eMarketer, where she wrote about topics such as programmatic advertising, measurement, privacy, customer experience, and identity. Moderator. Marissa Coslov is vice president of business development at eMarketer.

“We wanted to protect people and those they come into contact with by helping their smartphones exchange information in a way that doesn’t reveal their identity or any of their private information,” Benoliel said.

Some would argue that consumers are afraid of businesses using data, but what we’ve found is that they’re mainly afraid of identity theft and hacking. Findings like these allow us to see what real people think, so we can build trust in data, from our strategies through to our everyday interactions with these same people. We need to use data for good, for the benefit of all.

Fabrick combines powerful Identity-based solutions with trusted industry partnerships to solve today's challenges.

The customer identity and data landscape is dramatically changing, and regulations are becoming more strict.

Respondents were asked to consider 12 attributes: gender identity, age, body type, race or ethnicity, culture, sexual orientation, skin tone, language, religious or spiritual affiliation, physical ability, socioeconomic status, and overall appearance of people featured in each ad.

Fabrick combines powerful identity-based solutions with trusted industry partnerships to solve today's challenges.

Yet, 80% of US B2B marketing and sales professionals said it was challenging to integrate the company brand identity across channels, per February 2021 data from market research firm Provoke Insights. Respondents cited significant challenges that made this so arduous.

The solution is far from trivial and requires best-in-class data partnerships and a solid methodological foundation, grounded in identity, to operate smoothly. But it’s well worth the effort: with a unified analytics solution in place, it is now possible for marketers to plan for the long term and react to the short term without setting off tripwires.

Upon opening an app, iPhone owners will need to opt into allowing the app to use Apple’s Identifier for Advertisers (IDFA), a persistent identity that can be used to track activity across apps—and the pop-up requesting an opt-in must follow Apple’s suggested wording closely.

The new bandwagon is here, and it sings the tune of deterministic data, first-party data, identity, log-ins, and authenticated audiences. Welcome to the next phase of hype. And yet, consequential differences lay just beneath the surface. Not all first-party data is created equally—it varies considerably in quality, applicability, scale, and transparency.

Authenticity: In short, memes may not be right for every brand identity, even if the target audience is in the right age group. Take direct-to-consumer brand Cuts Clothing, for example. Despite the fact that its main customer base is ages 28 to 40, the brand has decided to steer clear of using memes in its marketing.

Only when you can bring together all of your data into a single, holistic view leveraging a first-party, personally identifiable information-based (PII) enterprise identity approach can you actually get at the heart of what someone interacting with your brand actually cares about–and where and how they are interacting with you.

Most recently, the behaviors we observed with PARETO showed increasing sophistication: realistic pingbacks to evade detection, dynamically configurable to assume different identities, even writing wrote code specifically to attempt to bypass multiple fraud verification providers.