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Welcome to the latest edition of “My Path to Google,” where we talk to Googlers, interns and alumni about how they got to Google, what their roles are like and even some tips on how to prepare for interviews.

Today’s post is all about Preeti Talwai, an architecture student turned user experience researcher. Preeti shares how her initial reluctance about tech faded as she realized how many different types of roles there are in the space.

What’s your role at Google?

I work as a user experience (UX) researcher on the AI User Experience (AIUX) team in Google Research. Our team studies changes in society and science and creates product concepts in close collaboration with research scientists and UX folks across the company. 

My focus is on early-stage, foundational research that tries to unpack big questions about human behavior and needs. With early-stage work, we’re often working with technologies that aren’t built yet and may be very new to users. For example, one of my favorite projects was studying people’s personal goals for a year and helping teams understand how technology can better support those goals.

What does your typical day look like right now?

When I’m planning research, there’s a lot of collective strategizing with other teams and my UX colleagues. When I’m conducting a study, my days usually involve a number of sessions with participants. When I’m synthesizing data, it’s a lot of “heads-down” time punctuated by ongoing sharing and collaboration with my team.  And when I’m sharing the insights and working to put them into action, my days involve meetings and presentations.  

Can you tell us about your decision to apply to work at Google and your path to your current role?

I always felt a pull towards design, so I decided to study architecture in college and went on to do a design research/architectural theory degree. Honestly, I never thought I’d work in tech and was actually against that idea at first. I had a very narrow understanding of tech jobs, and I was pretty sure they weren’t for me. The first time I became interested in Google was at the end of grad school.

I accidentally walked into a networking event after a class at the business school on campus, and I heard a panelist say she worked for Google’s Real Estate and Workplace Services division. I was surprised that something relevant to architecture existed at Google, and I stuck around until the end of the event to meet her. I sent her my resume, and though a role on her team didn’t work out, my information ended up getting passed along to a UX research manager who offered me a role as a research assistant. I decided to take this year-long contract role to test-drive a tech career, and, to my own surprise, loved it. After my contract, I transferred to a full-time role on my current team. 

My path to Google has been meandering and unpredictable. I have always been drawn to understanding human stories and shaping people’s experiences, but I didn’t know the job I had been describing was called “UX research” until I graduated from college. I’ve found that my non-traditional background has opened doors to unique types of research and teams at Alphabet that I may not have otherwise known to look for.

Getting the most out of your marketing investments requires a clear understanding of what actions people take after interacting with your ads. In today’s evolving privacy landscape, growing your business calls for new approaches to measurement that preserve advertising performance and also put the user first. 

Now’s the time to adopt new privacy-safe techniques to ensure your measurement remains accurate and actionable. And while this can seem daunting, we’re here to help you succeed in a world with fewer cookies and other identifiers with new ways to respect user consent, measure conversions and unlock granular insights from your sites and apps. 

Here’s a preview of some of the product launches we’ll be sharing at Google Marketing Livestream on May 27th.

Easier options for working with consented data

Getting started with privacy-safe measurement requires building a foundation of first-party data. Investing in a strong tagging infrastructure helps you make the most of the data your consumers share with you and lets you accurately measure your campaign performance.

As consumers seek increased control over how their data is used, your methods for respecting their consent choices will also need to evolve. For advertisers operating in the European Economic Area and the U.K., Consent Mode helps you achieve this by adjusting how Google tags operate based on user consent choices for ads cookies or analytics cookies. When users don’t consent to cookies, Consent Mode will use conversion modeling to recover, on average, more than 70% of ad-click-to-conversion journeys, ensuring that you continue to measure the complete performance of your media in a privacy-safe way.

To make it easier for your website to integrate with Consent Mode, we’ll soon enable implementation directly from your Google Tag Manager account, where you’ll be able to modify and customize tag behavior in response to users’ consent preferences. Accurate measurement that accounts for people’s consent choices doesn’t have to be complicated, and our new solutions make sure that it isn’t.

More first-party conversion data means better measurement

A strong sitewide tagging and first-party data foundation enables measurement solutions to work together to collectively provide you with the most comprehensive reporting and optimization. Building on this foundation, we’ve developed an additional privacy-safe way to help you preserve accurate measurement when fewer cookies are available.

Enhanced conversions allow tags to use consented, first-party data to give you a more accurate view of how users convert after engaging with your ads. You’ll also be able to get the data you need to unlock performance insights, like conversion lift, and improve measurement in cases when your ad is shown on one device and the user converts on another. Your first-party data is hashed to protect user privacy and ensure security, and you’ll receive aggregated and anonymized conversion reporting. 

Advertisers currently testing enhanced conversions are already seeing positive results. U.K.-based retailer ASOS set up enhanced conversions across Search and YouTube to help them close measurement gaps due to browser restrictions and cross-device behavior. This enabled them to measure conversions that would otherwise not have been captured and improved return on ad spend (ROAS) with a recorded sales uplift of 8.6% in Search and 31% in YouTube.

Machine learning unlocks new insights in Google Analytics

In addition to using modeling for more complete conversion measurement and optimization, modeling can also help you get deeper customer insights from your behavioral analytics data. Last year we announced the new Google Analytics, which uses machine learning to surface relevant marketing insights, such as a significant change in your campaign performance or the likelihood of your customers making a purchase. 

Soon, we’ll extend Google’s advanced machine learning models to behavioral reporting in Analytics. For example, if there is incomplete data in your User Acquisition report due to cookies not being available, we’ll now use modeling to help fill gaps for a more complete view of the number of new users your campaigns have acquired. With or without cookies, you’ll be able to enhance your understanding of the customer journey across your app and website and use those insights to improve your marketing. 

Coming next

We’re continuing to invest in next-generation privacy solutions to help advertisers navigate ongoing industry changes and preserve accurate conversion measurement. 

You can find out the latest information about these new privacy-safe measurement solutions at Google Marketing Livestream 2021 on Thursday, May 27 at 8:00 a.m. PT / 11:00 a.m. ET. 

Editor’s note: The Google News Initiative is supporting diversity, equity and inclusion scholarships at three of the industry’s top executive education programs: the Sulzberger Executive Leadership Program at Columbia University, the Media Transformation Challenge at Poynter Institute and the Executive Program in News Innovation and Leadership at CUNY. This post is authored by the director of the Sulzberger Program, Corey Ford. 

Representation at the highest levels of leadership in journalism is essential to an equitable, well-functioning democracy that truly reflects the lived experiences of all people. Right now, the journalism industry is falling well short of having the right diversity of perspectives in the room at the leadership level to properly make the strategic, editorial, product and budgetary decisions to ensure that our collective stories are being properly told. This must change.

As an executive education program that trains senior leaders of respected news organizations, the Columbia Sulzberger Program has a responsibility to help those organizations deepen their bench of leaders from underrepresented backgrounds. Besides encouraging news organizations to sponsor and nominate leaders from underrepresented backgrounds, we think it is important to provide both a path for underestimated leaders to apply to the Sulzberger program directly and a way to fund their tuition and travel to attend. Thanks to the support of the Google News Initiative, that path is now open.  

Today I am announcing that Google News Initiative will be sponsoring four scholarships, including tuition and travel, for leaders from groups typically underrepresented in journalism to attend the upcoming 2021 Sulzberger Executive Leadership Program at Columbia Journalism School.