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Next up in our Ask the Expert series, we hear from Sarah Ilie and Lauren Portell. Sarah and Lauren talk about the internet’s value exchange - what we gain and lose when it’s so easy to share our information. Is convenience hurting or helping us?  The age of connectivity  Today, it’s almost unimaginable to think about how your day-to-day life would look without the convenience of the internet, smartphones, apps, and fitness trackers; the list goes on and on. We live in the age of connectivity. We have the convenience to buy products delivered to our homes on the same day. We can consume content across thousands of platforms. We also have watches or apps that track our health with more granularity than ever before.   The internet's value exchange In exchange for this convenience and information, we must share various kinds of data for these transactions and activities to take place. Websites and apps give you the option to “opt in” and share your data. They also often let you know that they are collecting your data. This can feel like an uncomfortable proposition and an invasion of privacy to many people. What does it mean to opt-in to a website or app’s tracking cookies?  What value do we exchange?  What opting in means for you  Opting in to cookies means that you are allowing the app or website to track your online activity and collect anonymous data that is aggregated for marketing analytics. The data provides valuable information to understand users better to create better online experiences or offer more useful products and content.    Granting access to “tracking” offers several benefits to users such as a customized, more personal user experience or advertising that is more likely to be relevant. For example, let’s imagine you have recently been using an app or website to plan a camping trip. By sharing your data, the website or app has visibility into what is interesting or useful to you which can lead to related content suggestions (best campsites) or relevant advertising and product recommendations (tents and camping equipment).     It’s important to know that the marketing data collected when you opt in is extremely valuable. The revenue that advertising generates is often very important to websites and apps because this is how they make money to continue providing content and services to consumers.     Data privacy practices  Privacy concerns regarding how companies and developers use tracking information have risen over the last couple of years and have resulted in additional protection for consumers’ privacy while still allowing companies to improve their products and advertising. One big step in this direction has been simply making people aware that their data is being collected, why it’s being collected, and providing users with the option to share this data for marketing analytics through opting-in or not.     Other important steps to maintain online privacy include formal legal legislation and self-regulation. The right to privacy is protected by more than 600 laws between individual states and federal legislation and the U.S. House Committee on Energy and Commerce recently voted to pass the American Data Privacy and Protection Act.  Additionally, marketing organizations such as the Interactive Advertising Bureau and Association of National Advertisers regulate themselves with codes of conduct and standards given there is so much attention on privacy issues.    Is the internet's value exchange worth it?  The data that we choose to share by opting in has a lot of benefits for us as consumers. There are laws in place to protect our data and privacy. Of course, it’s important to be aware that data is collected and used for marketing purposes, but it’s also reasonable to share a certain amount of data that translates into benefits for you as well.  The best data unlocks the best marketing. Contact us to tap into the power of the world’s largest consumer database. Learn how you can use Experian Marketing Services' powerful consumer data to learn more about your customers, drive new business, and deliver intelligent interactions across all channels.    Meet the Experts:  Lauren Portell, Account Executive, Advanced TV, Experian Marketing Services  Sarah Ilie, Strategic Partner Manager, Experian Marketing Services 

We’re excited to introduce our new Q&A series, Ask the Expert! Ask the Expert will feature a series of conversations with product experts. We’ll spotlight and dive into the areas you care most about: identity resolution, targeting, attribution, and more. Our first segment features a conversation on Hashed Email. Jeff Tognetti, the Product Development Team Lead at DealerX joins us to chat with Experian’s Chief Revenue Officer, Chris Feo. Chris and Jeff review how to future-proof your identity strategy by exploring Hashed Email use cases, technical details, and offer an expert point of view on the cookieless future.   Let’s review a few highlights from their conversation. DealerX’s use case  When DealerX first started working with us, we focused on digital identity. DealerX wanted to understand the browsing habits of their first-party shoppers that relate to their clients:   What they’re doing  How they’re interacting with client sites and products  Apply those learnings to target them across the web   Eliminate ad fraud and targeting waste  Our partnership gave DealerX the ability to take an anonymous consumer from anywhere across their portfolio of customers and understand who they are, while in an anonymous state. Then, they could activate on any channel where that consumer may be in the market for a product. This allowed DealerX to resolve who these people are as they browse the web, leading to reduced ad spend and targeting waste.   This was the original and primary use case for DealerX when partnering with us. So, when did Hashed Email come into the mix for DealerX? Before we dive into the specifics, let’s take a step back and understand Hashed Email.  What is Hashed Email?  Hashed Email is a privacy-safe identifier that can further enrich the connection between the online (digital) and offline (real world) ecosystems. When paired with the Tapad Graph with access to Tapad’s universe of email data, it can provide maximum coverage for targeting and measurement when combined with IDs such as cookies, mobile ad IDs (MAIDs), connected TV (CTV) IDs, and IP addresses.  Email hashing uses a method of coding to transform an email address into a jumble of numbers and letters so that it’s fully pseudonymized and privacy safe. Hashed emails can then be used as a digital identifier when a user is logged in to that email and trace their activity – without linking back to the user’s real email address. This allows marketers to collect data on their users and understand their behavior without knowing their email address – a win for both consumer privacy and marketer insight.  DealerX & Hashed Email  DealerX was one of our first customers to onboard Hashed Email to the Tapad Graph. Adding Hashed Email gave them a privacy-compliant way to work with identity and resolve what a user did on their site. This allowed them to gain insight into where an ad and impression was served; even the day and time these actions occurred.  Now, we’re not the only data partner that DealerX works with. Many companies offer the notion of converting email to a digital ID in a privacy-safe way. How does DealerX evaluate the right data partner?  Evaluating the right data partner  When we say, ‘data partner,’ we’re referring to the data, the service, and the support. The most important characteristics to consider when choosing a data partner, according to DealerX, include:  Technical prowess  Efficiency  Agility  Scalability  Why did DealerX choose to partner with us? Our services met the characteristics they were looking for in a data partner. We grew the product by iterating on features that worked best for Jeff and his team. The rollout was organized, efficient, and lacked bureaucracy, which can slow down an implementation timeline.  While we started our relationship with DealerX as a vendor, now we're partners. How did we transition from vendor to partner? Transitioning from vendor to partner  The key to a great partnership is trust. It’s tough to navigate an ecosystem with numerous companies that claim to have the same products and services. The relationship will start off as vendor-client, and both teams will get to know each other’s strengths and weaknesses. As the vendor makes your work seamless and offers an efficient implementation process, the relationship turns into a partnership.  There’s more!  This is just a taste of Chris and Jeff’s conversation. Visit the Ask the Expert content hub to watch a recording of the conversation. Stay tuned for future segments in our Ask the Expert series. We’re just getting started!  About DealerX In just a few short years, DealerX has grown to serve 1,000’s of Tier 3 dealerships across all brands, enterprise partners and OEMs. Their keen approach to data, analytics, machine learning and programmatic initiatives have led DealerX to quickly become the most savvy player in the automotive space. DealerX has helped automotive retailers save 10’s of millions of dollars by avoiding fraud and eliminating wasteful ads pends, while dramatically reducing “cost per sale." In doing so, their partners significantly outperform those leveraging generic “one size fits all” competitive offerings. To learn more, visit their website at Dealerx.com.

While the weather outside is frightfully hot this summer, it’s never too soon to start thinking about the holidays – and consumers are more likely to start their holiday shopping early this year. To get you ready for the 2022 holiday shopping season, we looked back at consumer shopping trends from 2019-2021. What did we learn and what trends do we expect to see this year? Let’s look back. A look back Over the last three years, average consumer spending has increased. Record 2021 holiday sales came amidst a wave of COVID-19 cases, rising inflation, labor shortages, and supply chain problems. Despite these challenges, consumers continued to let it snow when it came to spending during the holiday season.  2022 has been a year with its own economic roadblocks – the war in Ukraine, rising gas prices, and recession concerns. Yet 2021 was a banner year for holiday sales despite its obstacles, and we predict similar trends in the 2022 holiday shopping season. What trends do we expect to see for the most wonderful time of the year?  2022 predictions While consumer spending remains strong, changing economic conditions continue to shape shopper behavior. To develop our predictions for 2022 holiday shopper behavior, we focused on four key areas: When consumers shop Where consumers shop What consumers purchase Consumer media preferences Now, let's make our holiday campaign planning checklist and check it twice. When consumers shop Chestnuts roasting on an open fire. Jack Frost nipping at your nose. Those aren’t the only ways to know when the holiday season has begun. Shoppers tend to spread out their holiday purchases across multiple months and were more likely to start shopping earlier. To understand holiday retail sales trends from 2019-2021, we identified four shopper segments:  Early Shoppers Traditional Shoppers Late Shoppers Random Shoppers What differences did we see between our four shopper segments? Early shoppers made almost half of their holiday purchases in October Random shoppers spread out their holiday purchases evenly across multiple months Late shoppers made almost half of their holiday purchases in December Traditional shoppers made almost half of their holiday purchases in November While December continues to dominate holiday sales, October has started to gain traction over the last three years, and November remains a core shopping month. Everybody knows a turkey and a mistletoe help to make the season bright but knowing when your consumers are most likely to shop will help deck your campaign planning halls. Jingle bell rock your way to holiday sales that shine bright with our tips to prepare for earlier shoppers:  Offer targeted promotions earlier in the shopping season Target your ads based on the shopping habits of your customers throughout the season Where consumers shop There’s no place like home for the holidays but most consumers aren’t shopping from home. Despite the rise in online shopping, brick and mortar locations continue to dominate holiday sales. October is the most popular month to take a one-horse open sleigh to a store, and consumers gather around the fire to online shop in November and December.     With most shoppers preferring to shop in-store, and e-commerce popularity growing, it’s critical to think about bridging the gap between your online and offline presence for the consumer. Are you offering multiple paths to purchase with solutions such as BOPIS (Buy Online, Pickup In-Store)?  Go down in history like Rudolph with our tips to prepare for more in-store shopping:  Focus on in-store shopping experience technology (self-checkout, VR, QR codes, scan to pay, etc.) Offer multiple paths to purchase to connect your online and physical presence through methods such as BOPIS (Buy Online, Pickup In-Store), BORIS (Buy Online, Return In-Store), and ROPO (Research Online, Purchase Offline), etc. What consumers purchase When it comes to holiday gifts, for some, only a hippopotamus will do. Compared to pre-pandemic, shoppers are spending more at apparel stores and mass retailers. Spending at specialty retailers, warehouse clubs, and on office, electronic, and games is almost the same across holiday and non-holiday shopping months. Time for toys and time for cheer may be year-round, but are there any correlations between where consumers shop (online vs. in-store) and what they purchase? Our data found that shoppers who bought from mass retailers were more likely to shop online, while shopping for apparel and warehouse clubs was done at a physical store location.     Put this insight to the test by thinking through how you can target your consumer based on where they shop in-store and online. You just might find that hippopotamus at a brick and mortar mass retailer location!  Consumer media preferences Do you see what I see? While we are seeing a shift to digital media channel preference, consumers still engage with traditional media channels like direct mail and the traditional newspaper. Successfully connecting with your customers involves capturing their attention through the right channel. We found that our four shopping groups prefer a mix of traditional and digital media channels. What does your media channel mix look like?  Hark! The herald angels sing of ways to adapt to the change in holiday spend and media preferences:  Align your activation efforts to digital, but don't forget about traditional channels Expand your targeting and activation focus beyond in-store vs. online Download our new 2024 report For a deeper dive into our predictions and actionable insights you can use to take your holiday campaign planning home for the holidays, download our new 2024 report. Experian data can help you refine your content and creative strategy to achieve maximum ROI for each campaign across all your channels. Download now

Fluctuation in consumers' behaviors and preferences during the pandemic has prompted a shift in the practices and patterns that we are accustomed to. Powerful market forces are emerging as society builds a new normal, forcing marketers to rethink their strategy, activation, and measurement.   It is important for marketers to understand the forces that influence the industry, and to learn about alternative approaches that can be applied to help reach their goals.   In our recent webinar, ‘How to Adjust to the New World of Advertising,’ Experian’s Chris Feo and guest speaker Tina Moffett, Principal Analyst at Forrester Research, lead an in-depth discussion of the market dynamics and developments guiding us to this new era of advertising. They talked about:  The pandemic changing consumer behavior  Emerging media channels   Data deprecation    The pandemic and increased media consumption The pandemic caused seismic shifts in consumer behaviors and business operations. Work from home became the norm, consumers made drastic changes in their routines, and businesses had to adjust to new operating models as local economies shrank and supply chains strained. As stay-at-home orders were put into effect, consumers increased their media consumption drastically as more time was spent at home in front of their devices. According to Forrester, by June 2020, 48% of US online adults subscribed to at least one streaming service, while 34% had signed up for multiple.  Forrester contends that:  Social and online video/OTT will grow fastest among other categories of ad spend   Connected TV outpaces other video advertising channels  55% of consumers plan to continue watching movies at home rather than in theatres after the pandemic    Data deprecation   The ways that marketers can personalize content and measure the effectiveness of campaigns is changing with data deprecation. Consumer preferences, regulations, and technology providers are evolving the way advertisers understand consumers, causing changes to existing identity-based marketing strategies. According to Forrester, 66% of marketers are investing in first-party data collection strategies to adapt to these market forces.    Marketers need to adjust   Demand for a new advertising approach    Changes in consumer behavior, evolving media consumption patterns, and data deprecation have marketers looking at new approaches to targeting and measurement. However, with the future uncertain in many of these areas, marketers need to test and experiment to determine which approach is best for them in particular use cases.     Shifting to a new world of experimentation   Advertisers need to start by assessing their current environment to determine where they have exposure today, which methods of identification they are using, and how those channels may be impacted by the market forces outlined earlier. From there, they need to start asking themselves how they can assess identity in the future or if there is another way to approach advertising in that specific channel.   There are specific areas where marketers can look to make investments in terms of experimentation:  Adoption of cleanrooms to support analytics and audience targeting Investment in first-party data to overcome the issue of data deprecation Shifting to a value-based, omni-channel advertising mindset to address customers’ needs Investment in data-savvy resources to manage media insights Adoption of consistent cross-platform advertising metrics and currencies to inform better planning If you missed our recent webinar ‘How to Adjust to the New World of Advertising,’ you can listen to the full discussion here. 

Third-party cookies have been a crucial component in people-based advertising and digital identity. With Google's recent announcement of delaying third-party cookie deprecation to 2024, the industry has more time to rethink how to effectively identify and communicate with consumers when the time comes. Preparing for cookie deprecation  Solving for the post-cookie world is mission critical, particularly as consumer expectation for a relevant digital experience is heightened. We’ve seen a number of industry participants, including brands, publishers, data providers and technology platforms, work around the clock to find an alternative to third-party cookies—one that amasses the same scale and reach but also maintains consumer privacy.  In fact, industry insights echo that sentiment. According to a white paper from Winterberry Group, Collaborative Data Solutions: The Evolution of Identity in a Privacy-First, Post-Cookie World, sponsored in part by Experian, one of the most frequently heard comments was the urgency for the industry to develop post-cookie, privacy compliant solutions that work in a more integrated manner.  And if there was one overarching position regarding the research into the future of identity, it’s that collaboration is key. Participants in the white paper expressed that with the elimination of third-party cookies, there will be a surge in collaborative solutions across and within companies to accommodate changes in the digital marketplace. Collaborative data solutions must move beyond new post-cookie identity replacements and encompass more holistic approaches, including first-party data.  First-party data sharing   Currently, 64.3 percent of organizations in the US collaborate with other organizations to share first-party data for insights, activation, measurement or attribution, and 16.7 percent in the U.S. have plans to. Virtually all US companies surveyed were aware of the option to collaborate with other organizations and expressed openness to discussions around sharing first-party data.  What is the solution to third-party cookie deprecation?   The deprecation of third-party cookies is creating a shock in the marketing and advertising world because there has been an over-dependence on one type of identifier. Therefore, the solution to identify consumers across the digital ecosystem will not come from a single replacement for third-party cookies. Instead, it will rely on a combination of solutions, including collaborative data between organizations and implementation of proprietary first-party data strategies, as well as a framework that can connect all these touchpoints together.  Experian can help you navigate the cookieless future   Experian is focused on building a more effective advertising ecosystem that promotes the interoperability of digital touchpoints while enabling and fostering new innovations in a privacy forward way. Contact us today and get started with building connected identity in the ever-changing data landscape. To learn more, watch the recording of our webinar with The Vitamin Shoppe where we discuss identity and how you can drive more addressable audience strategies amidst diminishing data signals.   

Experian Marketing Services and Data Quality President Genevieve Juillard recently sat down with Zach Rodgers, host of the AdExchanger Talks podcast to discuss the future of identity, the importance of data transparency and privacy, and our recent acquisition of Tapad. Genevieve focused on the opportunity for our industry to reimagine an advertising ecosystem that is resilient and adaptable; one that takes advantage of emerging data and prioritizes data transparency and consumer privacy. She also discussed the importance of advertising strategies that put consumers at the heart of every decision and give them more control over their data. Genevieve shared with AdExchanger that Experian’s acquisition of Tapad, a global leader in digital identity resolution, was a natural fit for our company. Tapad’s approach and role in the ecosystem is very much aligned with Experian’s, which is to develop solutions that are resilient to industry and consumer changes. The combination of our capabilities supports interoperability across all types of identifiers, both online and offline, and will position us to help our clients navigate the post-third-party cookie world. To learn more about Experian’s plans to support an effective advertising ecosystem that will evolve with our dynamic industry, listen to the full podcast Embracing ‘Healthy Fragmentation’ In Ad Tech, With Genevieve Juillard.

Addressable TV has been through a transformation in the past year. Streaming content has become the most coveted space for creators and advertisers with the rise of new apps and platforms; but the influx of stay-at-home orders around the country have shifted television viewership as we know it, and streaming apps are popping up in droves to take advantage. So, how can you? With no shortage of opportunities to advertise on addressable TV and CTV, how does it fit into the media mix? And furthermore, how can you attribute this household-level device into your overall strategy? Tying it all together Layering addressable TV within digital ad campaigns couldn’t be easier today — but applying the right targeting and cadence between all of your digital efforts; and tying them together in attribution takes the right kind of data. Marketers can use CTV identifiers coupled with other device identifiers available in The Tapad Graph to not only target impressions but also map addressable TVs within the consumer journey; and unify strategies between household decision makers to better personalize messaging. 1 The Trade Desk Q2 2020 Earnings Call Transcript, August 2020; 2 iSpot Report, via Deadline, July 2020; 3 Flixed.io, January 2020 Contact us today

For the past several years ad-tech defined the value of identity at the individual level; made possible by the evolution of data, technology and machine-learning. But, earlier this year COVID-19 set in motion many shifts in consumer digital behavior. The more we’ve been working and learning from home, using devices that are shared amongst an entire household, the more apparent it is that marketers need to shift their strategies to align with these changes. Did you know the average household owns eleven or more connected devices? And the longer we’ve been at home, the more these devices are shared by multiple individuals. If you’re looking for a few simple ways to evolve from an individual focused strategy to a household strategy, here’s a good place to start: Audience segmentation Traditionally, audiences are built with a narrow focus on a single user, and what known attributes about that individual or their brand engagement can be leveraged for a targeting strategy. Now that screens are being shared between multiple users in a home, how can you be sure you’re identifying them correctly, and thus, segmenting them in the right buckets for targeting? The key lies in the ability to connect those points through identity resolution. Using ad exposure from household level devices, followed by a second engagement from an individual within that household can indicate a user is a better candidate for purchase or conversion than others. So before you build audiences for targeting, you can qualify them at the household level for segmentation with more confidence. Example: An auto advertiser uses audience segments from a third party provider such as ‘auto intenders’ to target individuals with new pricing offers. They would continue retargeting these users, unaware that some are connected in the same household, and thus are probably not all in the market to actually get a new car. By bucketing users that share a common household device within this third party segment, they can hone in on which individuals are actually in-market for a car and evolve their strategy to be more effective. Targeting Retargeting, frequency capping and sequential messaging have always been meant for an individual user — the more they’re exposed to your brand in a personalized way, the more likely they are to take the desired action. But, have you considered that multiple users could have a shared initial exposure to your brand? Today, you can target a household of potential consumers on a shared device like a CTV, and employ those retargeting strategies based on that common initial exposure. Starting at the household level, means you can compare movement through the funnel between different individuals in that household, and tailor your targeting accordingly. Perhaps you realize only one person in that household will convert and you tailor messaging to them more frequently, while confidently suppressing the other individuals. Example: a CPG brand uses OTT advertising, but doesn’t incorporate it within their sequential strategy, because they consider it just a ‘brand awareness’ opportunity. By using OTT more strategically as a household level engagement, it can reveal which individuals within a household are more favorable towards a brand further down the funnel. So, you can spend impressions targeting those users, rather than wasting impressions on multiple individuals within the household. Measurement Measurement and attribution are imperative to understanding the path to purchase and making strategies more efficient over time. Often that efficiency involves adding or removing devices and channels from a targeting strategy based on their contribution to an action or conversion by an individual. This year we’re seeing addressable TV devices explode in use, which are shared at the household level. Even desktop computers are being used by more people in the home due to COVID-19. So, assuming a linear path of attribution by an individual is missing the full picture. Identity resolution can help you understand where messaging was more effective for some users in the household than others, and leverage that insight to continue more effective strategies in the future. Example: Without a household view, a direct-to-consumer brand would assume all interactions from one device would be coming from a single individual, and that could create a higher cost-per analysis. By incorporating the household level devices into attribution models, they can find efficiencies between touch points of multiple users, and learn how those split off into individual paths to conversion. Not only can this DTC create a more effective model, but they can use that model to create cost efficiencies in the future. Contact us today

With the long-term effects to the economy unknown, many consumers are feeling the financial impact, while others are looking for opportunities, resulting in a transformational shift in spending. Some brands are experiencing decreased or paused marketing budgets, and you may be trepidatious about making the right decisions in your efforts to grow share of wallet. Recent events have been an impetus for change and we’re seeing brands make modifications to traditional marketing strategies. Some are developing innovative technologies and utilizing new sources of data and analytics. As we look at how these changes impact marketing results, we see the gap grow between those brands who are equipped to pivot and implement new strategies quickly, versus those who are not. So what steps can your organization implement now to make the smartest choices for both your customers and your business to secure more share of wallet? Here are four ideas to accelerate the success of your next financial marketing campaign: 1. Meet your customers wherever they are: Digital-first strategies have never been more relevant than they are right now. While consumers have fully embraced online engagement, marketers are even more focused on reaching high-value segments in the channels they utilize. By using an informed, data-driven strategy that includes preferred marketing communication channels and decision-making styles, engagement increases across those channels your target audience frequents the most. For example, are they heavy social media users? Do they prefer streaming TV? Or do they tend to rely on financial advice vs. performing their own research? To drive take rates, your audience must be exposed to a tailored message, in the right channel, and possibly multiple times. 2. Use messaging that resonates: As consumers refocus priorities, their expectations of brands with whom they do business are ever-increasing. Reflecting an understanding of the current needs and interests of your customers and prospects is an undertone that can only help strengthen their view of your brand. Consumer behavior has changed and is unlikely to revert to what was, so you want to be relevant, but you also do not want to be seen as ‘tone deaf’. As a result, consider revising your segmentation strategy to leverage predictive insights, such as household economic indicators, financial behaviors, lifestyle propensities and interests to help shape your message into one that truly makes an impact. 3. Prove the worth of your campaign: New consumer journeys are being formulated and showing ROI is imperative as your marketing budget is scrutinized. Having the right industry-relevant metrics and reports to analyze and share with leadership are key. Demonstrate that your campaigns are contributing to bottom-line success—and justify future campaigns—by using data-driven measurement insights collected across multiple reads and countless touchpoints. Marketing budgets are being scrutinized now more than ever, so showing ROI is critical. Having the right metrics and reports to analyze and share with leadership are key. 4. Follow government regulations—leverage Fair Lending-friendly audiences: Whether you’re cross-selling or prospecting, now is the time to identify the right audiences with rich data insights to not only execute impactful campaigns but adhere to government regulations that protect consumers and your organization. Trusting that the data you are activating follows Fair Lending Laws, including the Equal Credit Opportunity Act (“ECOA”) and the Fair Housing Act (“FHA”) is crucial. The Federal ECOA prohibits creditors from discriminating against credit applicants on the basis of several prohibited factors. Developing people-based segments that are not derived using these factors positions you to follow these regulations. Check out our previous blog post about Fair Lending-friendly audiences here. As you transition to new operating models, access to current and accurate consumer data can provide confidence in campaign potential, help you avoid business risk, enable you to respond to market changes and make better decisions. Experian can help you implement these strategies and put your brand unique position for growth. From start to finish, we provide the marketing solutions you need to plan, build and execute successful, Fair Lending-friendly campaigns to cross-sell to existing customers and acquire new customers. *Experian Fair Lending-friendly audiences do not constitute legal advice or otherwise assure compliance with the FHA, ECOA, or any other applicable laws. It’s recommended to seek legal advice with respect to the use of data in connection with lending decisions or application and compliance with applicable laws. Contact us today