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How contextual ad targeting addresses signal loss

Published: February 28, 2023 by Experian Marketing Services

Contextual ad targeting paves the way for new opportunities

Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?

In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:

  • The challenges causing marketers to rethink their current strategies
  • How contextual advertising addresses signal loss
  • Why addressability is more important than ever
  • Why good creative is still integral in digital marketing
  • Tips for digital ad success
a thumbnail image taken from our webinar

By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.

Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!

Macro impacts affecting marketers

How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?

Jason: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.

Alex: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now!

Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.

List that says 1) Digital identifiers continue to be restrictive. 2) Increased CPMs for alternative identifiers. 3) Marketers will have to learn to use these new solutions. 4) Cookie fidelity is incredibly competitive.


Contextual ad targeting: A solution for signal loss

How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?

Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.

As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.

Alex: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:

  1. The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
  2. There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
  3. We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.
List that says 1) Four flavors of contextual advertising. 2) Modeling allows you to extract values from users. 3) Value in specialized models. 4) Delivers on privacy forward commitments

Addressability: Connect your campaigns to consumers

How does advanced contextual targeting help marketers reach non-addressable audiences?

Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.

One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.

Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.

Alex: Jason, you described that perfectly. I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.

It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.

Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.

It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.

List that says 1) Helps advertisers know who to reach. 2) Starts with known data. 3) Panel based approach. 4) Together we are improving deterministic signals.

Turn great creative into measurable data points

Why does good creative still play an integral part in digital advertising success?

Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. Good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.

Alex: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.

Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.

List that says 1) Synchronizes campaign goals. 2) Drives performance. 3) Improves measurability. 4) Delivers your brand's story.

Our recommendations for marketers for 2023 and beyond

Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?

Jason: Be proactive and start testing and learning these new solutions. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.

Alex: Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.

Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.

List that says 1) Start experimenting. 2) Be proactive. 3) Synchronize creative. 4) Develop strategies for addressable and non-addressable.

We can help you get started with contextual ad targeting

Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.


Find the right marketing mix in 2023

Three webinar speakers

Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:

  • New data on the complexity and uncertainty facing marketers
  • Consumer trends for 2023
  • Recommendations on finding the right channel mix and the right consumers

Get in touch

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About our experts

Jason Andersen headshot

Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.

Alex Johnston headshot

Alex Johnston, Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.Yieldmo.com.


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This is your deep clean and an essential first step in ensuring everything else works better.  With signals disappearing, buying channels proliferating, and customer journeys getting more complex, the key to maintaining addressability is investing in persistent identity, complete consumer data, and collaborative measurement strategies that can weather these changes. Here are some ways to rethink your marketing data management and identity strategies for the current environment. Set the data foundation A solid identity resolution strategy starts with high-quality, unified data. Consider a comprehensive refresh of your customer records by auditing and enhancing what you have for accuracy and depth.  As you’re thinking through spring marketing ideas, it’s an ideal time to enrich your first-party data by appending missing details, removing outdated records, and ensuring you enter summer with reliable, up-to-date profiles. Data enrichment Customer data naturally degrades, and eventually, you’ll need to dust it off by supplementing consumer records with current, high-quality insights and attributes. Experian data enrichment can help you seamlessly refresh records with updated demographic and behavioral data, giving detailed insights for precise targeting and relevant campaigns. With over 5,000 attributes available, covering everything from age and income to shopping habits and media preferences, you can maintain the deepest, most up-to-date view of your consumers through every season. Offline identity resolution and append Offline identifiers — like names, physical addresses, and phone numbers — are the most persistent identity markers as they rarely change compared to digital cookies and device IDs. They’re essential for a stable identity foundation, and you can use them to develop a consistent, unified view of each household and individual. Use this season to audit and tidy up your offline records. Are key identifiers missing? Are you relying on outdated addresses or duplicate names? Experian’s Offline Graph serves as the foundation to help unify those fragmented pieces, resolving identities across households and individuals to create a clean, consistent view of every customer. Think of this step as scrubbing baseboards or cleaning behind the fridge. It’s often overlooked but a prerequisite to a thorough spring refresh. You can also use Offline Identity Append to append missing identifiers to improve match rates, boost data accuracy, and ensure addressability so that when summer campaigns launch, you’re ready to confidently meet your audience where they are. Digital resolution via Digital Graph This next step is like replacing your air filter each spring. You won’t see it, but you’ll definitely feel the difference in performance. Digital resolution ensures persistent, accurate targeting across devices and channels in a fragmented omnichannel environment. Experian’s Digital Graph facilitates easy consumer identification and connection across the digital ecosystem. Our graph links digital identifiers like mobile ad IDs (MAIDs), connected TV IDs, and hashed emails to consumer profiles. So, when a customer interacts on a smartphone, a smart TV, and a laptop browser, those actions can all be tied back to the same individual or household in your database. Collaborate securely in data clean rooms to close gaps Matching partner data within your own secure space, a trusted third-party clean room, or Experian’s privacy-safe environment is an essential next step in your marketing spring cleaning strategy. But what is a data clean room? A data clean room is a privacy-first way to enhance marketing data in a secure environment that allows brands and partners to match and analyze data without exposing personally identifiable information. It’s almost like organizing a shared closet. You both bring what you have, sort it safely, and leave with something more valuable without mixing up or exposing what’s personal. Secure collaboration enriches your understanding of consumers, boosts match rates, and ensures the highest data security standards. Here are key data challenges you can tackle through data collaboration—whether in a clean room or across your broader data strategy. Lack of insights or usable data Without third-party cookies, marketers run the risk of losing valuable consumer insights. Collaborating with key partners lets brands enrich their first-party data and obtain a more comprehensive view of customer behaviors for informed decision-making. Let’s say, for example, that an advertiser with sales data but no exposure data struggles to attribute sales to specific campaigns. By collaborating securely with a measurement partner who provides exposure data, the advertiser can confidently link sales to ad exposure and optimize future campaigns with an understanding of who saw their ad and made a purchase. We anticipate that data collaboration will be a key marketing trend in 2025 alongside signal loss. Low or no match rates When businesses handle matching internally, discrepancies like name variations (e.g., John Doe vs. Jonathan Doe) or mismatched identifiers (hashed emails vs. MAIDs) often result in poor match rates. Experian’s identity resolution capabilities, meticulous hygiene processes, resolution logic, and comprehensive identity graphs significantly enhance these match rates. For example, if a data provider had physical addresses and a demand-side platform (DSP) had email addresses, they couldn’t collaborate with different identifiers. Using Experian Collaboration, however, their data could be resolved with offline identity data from our graph, enabling them to share their collaboration data and improve their marketing efforts. Data security When it comes to data collaboration, protecting your proprietary and customer information is non-negotiable. That’s why Experian operates with some of the industry's strictest data security, privacy, and compliance protocols. We support identity resolution and data collaboration within the most secure environments available — data clean rooms built to prevent sensitive customer data from ever being exposed. Instead of moving or sharing your raw data, we ensure all records are anonymized before any analysis occurs. Additionally, Experian’s clean room integrations with trusted partners give clients flexibility without compromising compliance. All solutions are designed to meet GDPR, CCPA, and industry-specific data governance standards, with full audit trails and customizable access controls. Connect and activate Once your data is clean, enriched, and resolved, the next step is to activate it efficiently across the channels where your audiences spend time. This step is like putting everything back in place after a deep clean so everything is functional, easy to access, and ready to deliver results. As you get ready to put your spring marketing ideas into motion, it’s time to streamline your activation approach and make sure your customer data is working hard for you. First-Party Onboarding With Experian First-Party Onboarding, you can ship data where needed using flexible data solutions for your activation strategy. This step is like labeling and organizing your freshly cleaned marketing closet, so each audience segment is ready to deploy wherever you need it. We make it easy to: Understand your customers on a deeper level Seamlessly onboard your customer data for use across programmatic, social, and advanced TV platforms Combine your first-party data with Experian syndicated audiences for enriched targeting Deliver those audiences to any destination that accepts Experian Audiences — whether a DSP, social platform, or publisher Increase match rates, extend reach, and lower activation costs Transact in the ecosystem with the Experian ID To aid in the activation process, Experian ID is a unified identifier that acts as a privacy-safe bridge between fragmented emails, device IDs, and addresses, helping you activate audiences across all media channels. Experian ID keeps your data protected and connected whether you send it to DSPs, social platforms, or data clean rooms. This allows for secure activation and performance tracking across the ecosystem without exposing personally identifiable information (PII). Like sealing and storing your seasonal belongings in airtight containers, Experian ID keeps your data clean, safe, and always ready for use. Use fresh audience insights to inform segmentation After deep-cleaning your data, enriching profiles, and resolving identities, you’ll want to ensure your segmentation reflects that renewed foundation. Just like clearing expired ingredients from your pantry, spring is an ideal time to toss outdated audience definitions and replace them with insights that are fresh, relevant, and ready to perform. With Experian’s modern audience tools, you can create smarter segments, power omnichannel strategies, and continue reaching high-value consumers even in cookieless environments. Our marketing data management tools make it easy to: Build detailed, personalized profiles using over 5,000+ behavioral and lifestyle marketing attributes that go far beyond basic demographics. Choose from 2,400+ pre-built syndicated segments or collaborate with Experian to create custom audiences tailored to your KPIs and campaign goals. Append fresh attributes to your CRM to keep profiles accurate, performance-ready, and reflective of current consumer behaviors and life stages. Together, these tools help sharpen your segmentation strategy and ensure up-to-date audience insights power every campaign. Let’s break down how smart combinations and contextual precision can further elevate your segmentation. Combine our identity graphs and Marketing Attributes for sharper targeting Combining Experian’s identity graphs with Marketing Attributes gives you both the who and the why behind your audience and helps you act on that insight with precision. It’s like giving your closet a total spring refresh — not just purging what doesn’t fit but also organizing what’s left into ready-to-wear outfits. Digital Graph + Marketing Attributes: Link real-time digital behavior (like CTV, mobile, or web activity) with rich consumer insights to create segments that perform across channels, from mobile to CTV to social. Offline Graph + Marketing Attributes: Tie persistent offline identifiers like name and address to behavioral and lifestyle data, making it easier to plan full-funnel strategies from direct mail to digital display. This approach gives you the clarity and flexibility to build richer personas, reach more qualified audiences, and target with confidence across any environment. Activate smarter with Contextually-Indexed Audiences Spring cleaning your strategy also means letting go of legacy tools, especially those relying on cookies or outdated tracking methods. With Experian’s Contextually-Indexed Audiences, you can reach consumers based on the content they’re engaging with, not their identifiers. We map millions of websites to real audience segments so you can target high-intent consumers in a privacy-safe, way. For example, an automotive brand looking to reach high-intent luxury EV shoppers can activate Experian’s “in-market for a luxury electric car” segment. With contextually-indexed targeting, that brand’s ads will appear on websites that over-index for visitors in that audience — such as premium car review sites or sustainability-focused blogs — without relying on user identifiers. This allows the brand to scale performance safely and efficiently in cookieless environments while achieving strong engagement metrics. Activate across channels with confidence After refreshing your data, segmentation, and partner strategies, the final step in your spring cleaning is putting all that prep work into action — efficiently and at scale. Think of this as your final sweep: optimizing where and how you activate your audience to ensure every touchpoint is aligned, accurate, and impactful. With your updated segments and sharpened identity framework in place, you can reach consumers across display, mobile, connected TV (CTV), and emerging digital channels. Experian provides the tools to activate seamlessly — backed by privacy-safe, high-quality data and flexible integration options. Third-Party Onboarding: Expand reach with external data sets Experian’s Third-Party Onboarding capabilities make it easy for brands to augment their first-party data strategies on their preferred activation platforms with easy access to high-quality, activation-ready third-party audiences. For you, this means you no longer have to manage the onboarding process yourself or worry about compatibility. Instead, you can: Enhance your first-party targeting with third-party data that’s already privacy-safe and activation-ready. Reach more qualified consumers by layering in external behavioral, lifestyle, or intent signals. Maximize scale across your preferred platforms using Experian’s established integrations and ecosystem support. With Experian as your trusted partner, your audience strategy becomes more flexible, more scalable, and more effective, giving you the power to engage the right consumers beyond your own CRM. Start preparing now for summer campaigns You’ve cleared out the clutter, restocked your toolkit, and optimized your data strategy, and now, you’re ready to get ahead of the summer rush. While summer is go-time for high-impact marketing campaigns, now is the time to clean, organize, and prepare. Another reason to start now? Tariffs, inflationary pressures, and changing consumer confidence are already impacting product demand, budget planning, and go-to-market strategies for the rest of the year. Brands need to be ready and agile in the face of economic turbulence. So, think of this as your final recap checklist before the season (and the economy) changes: a set of intentional steps that ensure all your prep work translates into real performance when it counts. Start now to: Cleanse and enrich your data: Make sure outdated records don’t weigh down your summer outreach. Refresh profiles with Experian’s latest attributes to stay aligned with consumer behavior. Solidify your identity resolution strategy: Transition to persistent, privacy-safe identifiers like Experian’s unified ID to maintain addressability across devices and channels. Collaborate with key partners: Run pilot campaigns with trusted collaborators to augment your data and maximize scale ahead of peak season. Refresh audience segments: Update personas and segments based on the latest data insights. Trial omnichannel strategies: Use spring to test messaging across display, CTV, social, and mobile so your summer creative hits with precision. Confirm measurement readiness: Double-check attribution and analytics tools so you can optimize in real time and prove ROI. Tailor creative to the season: From backyard barbecues to road trips, ensure your messaging taps into the themes and activities consumers care about most this summer. Spring is the warm-up. Summer is the performance. Start today to improve your marketing data management and overall strategy, and you’ll be ready to hit the ground running. Let’s plan your seasonal strategy together Whether you’re looking for more spring marketing ideas or want to launch a high-impact summer campaign, Experian is ready to help. From strategy to segmentation and data clean rooms to real-time activation, we partner with you to build a marketing engine that performs now and keeps growing through the seasons. Connect with us today, and let’s turn your seasonal refresh into long-term momentum Latest posts

Apr 29,2025 by Experian Marketing Services

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At Experian Marketing Services, we use data and insights to help brands have more meaningful interactions with people. As leaders in the evolution of the advertising landscape, Experian Marketing Services can help you identify your customers and the right potential customers, uncover the most appropriate communication channels, develop messages that resonate, and measure the effectiveness of marketing activities and campaigns.

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