Technology is always marching forward, and once again, a new leap is advancing consumer insights. Marketers are increasingly able to tie together fragmented data customer points across the digital footprint and execute highly targeted campaigns–and, without compromising privacy.

It’s called identity graphing and it’s a powerful tool for connecting the dots between all the different buckets of consumer data. To get a better sense of how it provides marketers with an integrated view of consumers’ digital identities, let’s look at some of its most impactful and practical applications. 

Why Identity Graphing Matters in Marketing

Today’s consumer interacts with brands through numerous touchpoints, both online and offline. They leave digital footprints across devices and channels, making it difficult for marketers to see the big picture of their interactions. Getting a unified view and making strategic choices comes down to the ability to create a cohesive picture from scattered identifiers like IP addresses, cookies, and device IDs.

B2E’s identity graph solution, MotusAudiences Connect, is powered by the comprehensive Experian database. It offers businesses access to information with incredible reach and scale, to the tune of more than 2.75 billion IDs across 250 million individuals and 126 million households. 

MotusAudiences Connect bridges the gaps marketers previously faced by “resolving” digital identities into a single picture, allowing brands to:

• Enhance targeting precision by crafting personalized campaigns that align with audience behaviors and preferences.
• Improve campaign efficiency by ensuring that marketing messages reach the right individuals, reducing wasted ad spend caused by broad, ineffective targeting.
• Strengthen measurement and attribution by tracking engagement more effectively, attributing conversions to the right campaigns. This helps marketers refine their strategies for even better future outcomes.

Balancing Personalization and Privacy

The data privacy landscape is growing more complicated for marketers who must balance consumers’ often contradictory feelings about data privacy and personalization—along with an evolving set of laws that can vary from state to state. To navigate identity graphing responsibly, a privacy-first approach incorporates several key practices. 

• Using hashed identifiers: Converting personally identifiable information (PII) into anonymized formats helps preserve both security and privacy while still enabling precise targeting.
• Complying with data protection frameworks: Adhering to frameworks such as SOC 2 standards and the California Consumer Protection Act helps maintain industry standard data practices and compliance. 
• Using trust-based principles. It’s important to use an identity graph partner that takes extensive measures to protect the confidentiality and security of consumer data. They should adhere to a values-based approach to data processing that upholds transparency, user consent, and the protection of personally identifiable information.

Using Identity Graphing in Marketing Strategies

It’s growing more difficult for marketers to track and understand customer behavior without an identity resolution strategy. There are so many dots to connect across consumer interactions such as email, social media, mobile apps, in-store visits, and connected devices—and consumers today expect brands to have a sophisticated picture of their behaviors and expectations.

With a more accurate and dynamic view of an audience, marketers can leverage it in a number of impactful ways: 

• Segmentation and customization. Create audience segments based on demographic and behavioral attributes and design more relevant messaging.
• Precise audience expansion. Enrich customer data sets with new IDs for increased reach and scale, while still targeting the appropriate audience members with precision.
• Omnichannel campaigns: Deliver a more seamless experience across email, social media, and digital advertising, improving both engagement and brand consistency.
• Data-driven decisions. Identity-linked campaigns provide more actionable insights enabling marketers to map the customer journey and gain a clearer understanding of what drives conversions.

Use Case: Marketing Agency Serving Multi-Location Companies

To help further illustrate the potential for identity graphing, let’s look at the example of a marketing agency with a heating and cooling business client with business locations across multiple states. The agency’s challenge is to deliver hyper-targeted digital ads for each business location, ensuring the ads reach local homeowners who are most likely to need home services. So, how can they laser target the appropriate targets in every market?

Anonymized customer data from the heating and cooling company can be run through MotusAudiences Connect to be augmented with additional details such as demographic profile, income level, and purchase habits and preferences. This builds a more complete and accurate picture of the home services company’s ideal customer segments.

This information can then be used to create location-specific “lookalike audiences,” to ensure ads target homeowners who fit the ideal profiles. For example, for target customers in older neighborhoods, ads may focus on urgent repair services. Middle-income areas and certain demographics might receive messages about affordable maintenance plans and seasonal promotions. Ads directed at target audiences with more disposable income might emphasize premium service offerings and energy-efficient upgrades.

Embracing Identity Graphing Techniques

The digital landscape is always expanding, but it still remains a largely disjointed arena. Identity graphing offers a way for businesses to synthesize all the different data points and stay more closely in tune with customers. It provides a major competitive advantage to any businesses interested in staying a step ahead. 

With an assist from identity graphing, it’s more obvious how to anticipate customer needs, deliver the right message at the perfect moment, and maximize the impact of every campaign. Could you do more with identity-driven insights? For more detailed information about B2E’s identity graphing solution MotusAudiences Connect, schedule a meeting with us! 

 

What’s one piece of information that will immediately improve audience engagement and conversion rates? 

Heard of intent signals?

Intent signals are information that helps marketers understand what potential customers are actively researching, comparing, or engaging with online. It goes beyond traditional targeting methods to focus on the prospects who are already demonstrating interest a company’s offerings. 

So, what are intent signals, and how can marketers use them?

Decoding Intent Signals

Intent signals are real-time, online data points that indicate a prospect’s interest in a particular product, service, or industry. These signals come from various sources, including:

• Website visits and content engagement
• Search queries and keyword activity
• Whitepaper downloads and webinar registrations
• Product comparisons and pricing page views
• Social media interactions and discussion trends

By aggregating and analyzing these signals, marketers can identify high-intent prospects. Then, through personalized digital ads, intent signals make it possible to engage buyers at just the right moment in their decision-making journey.

Intent Signals in Modern Marketing

Traditional marketing has relied on broad demographic data. While useful, static datasets don’t reveal real-time buying intent. Intent signals, on the other hand, can provide dynamic, behavior-based insights.  This means marketers can:

• Prioritize leads by identifying those who are actively researching relevant solutions.
• Refine targeting strategies by focusing on prospects who are already in-market.
• Improve personalization by tailoring messages based on what buyers are actually interested in.
• Increase conversion rates and performance metrics by engaging potential customers when they are closest to making a decision.

Enhancing Consumer Targeting with Intent Data

Precision targeting is key in consumer marketing, and intent data helps refine this approach by identifying individuals actively researching products or services. By analyzing which consumers are searching for specific items, reading reviews, or engaging with competitor brands, marketers can:

• Deliver highly relevant ads and content tailored to consumer interests.
• Personalize outreach through digital channels based on real-time behaviors.
• Optimize marketing spend by focusing on consumers showing strong buying intent.

For example, if an HVAC service company sees an increase in searches for "air conditioner repair near me" in a specific geographic area, they can use intent data to serve targeted ads offering service or seasonal maintenance discounts. By proactively addressing consumer needs with timely and relevant messaging, they can capture leads at a moment of high intent and drive more conversions.

Optimizing Digital Advertising Spend

Many marketers struggle with wasted ad spend due to broad, non-specific targeting. Intent signals address this challenge by helping direct ads to receptive audiences at the right time. By strategically integrating intent data into programmatic advertising, marketers can achieve more precise targeting and significantly improve their ROI.  Here's how:

• Strategic bidding.  Intent data identifies prospects demonstrating high engagement with relevant topics, products, or services. So, instead of spreading budget more thinly across a broad audience Marketers can bid more aggressively on these high-potential prospects and increase the chances of their ads being seen by the most qualified leads.
  
  
• Efficient budget allocation.  Intent data also allows marketers to identify and exclude low-intent audiences from their campaigns. This prevents ad resources from being spent on users who have shown little interest in the advertised offerings.  By filtering out irrelevant segments, marketers can free up resources for more effective targeting strategies.
  
  
• Personalized ad experiences. Intent data provides valuable insights into an audience’s recent online activity.  This information can be used to better customize ad creative, tailoring the messaging and visuals to resonate with specific segments. Personalization has been shown to increase engagement, click-through rates, and conversions. Research by McKinsey shows personalization increases marketing ROI by 10 to 30 percent.

To sum it up, intent signals empower marketers to move beyond guesswork and make data-driven decisions about their advertising spend.  

Best Practices for Leveraging Intent Data Effectively

Intent data stands out as a powerful tool for understanding and predicting consumer behavior. By analyzing the behavioral signals that point to actual interest in a product or service, businesses can refine their marketing strategies to dramatically improve engagement. The following best practices can help to maximize the impact of intent data:

• Integrate intent data with first-party insights. Combining intent signals with first-party data—such as customer records, email engagement, or past customer interactions—provides a more complete view of potential buyers. First-party data can help businesses tailor their marketing efforts based on both current behaviors and historical customer data.
  
  
• Combine AI-driven insights with human intelligence. While AI-powered analytics can identify patterns and trends within intent data, human judgment still plays an important role. Marketers should validate insights to make sure outreach and messaging are relevant and contextually appropriate.
  
  
• Segment for more targeted engagement. Not all intent signals indicate the same level of interest. Businesses can score behaviors and prioritize leads based on determined high-value signals to help allocate marketing resources even more effectively.
  
  
• Prioritize privacy and compliance. With evolving data privacy regulations and sentiments, businesses must always ensure proper data handling. Adhering to best practices for data protection, transparency, and ethical use of consumer information helps maintain trust while leveraging insights.

Working with a data marketing partner that understands how to use intent data effectively and safely, marketers can run more effective marketing campaigns and build customer relationships that grow stronger and more mutually beneficial.

Marketing With Intent

Intent data will continue grow more sophisticated, predictive, and actionable. Businesses that embrace intent insights will build their competitive edge by engaging with current and potential customers with new levels of relevance and precision.

If your company is ready to market with more intent, MotusIP Intent will help you embrace the power of personalization and timing. Schedule a meeting to learn more!

 

Data-driven marketing continues to be at the forefront of transformative change in the industry. Now, it seems, data isn’t just a tool—it’s the foundation for marketing success.

Marketing is entering an era where personalization and precision drive engagement, and every decision is backed by data. And while this may sound like a marketer’s dream, it has introduced new challenges and more complexity into the job. 

Increasingly sophisticated tech tools are demanding that marketers stay agile and informed. At the same time, the opportunities are immense. With the right strategies, businesses can forge deeper connections with their audiences, optimize campaigns in real time, and unlock insights that fuel growth.

Let’s look at four trends likely to shape data-driven marketing in 2025.

Generative AI for Hyper-Personalization

Generative AI is revolutionizing content creation, and one of its real powers lies in enabling hyper-personalized experiences. By analyzing vast amounts of customer data, AI tools can craft marketing messages tailored to individual preferences, behaviors, and decision styles. Across marketing touch points, generative AI helps brands to engage with audiences at a granular level.

At the same time, marketers must strike a balance between personalization and privacy. To succeed, marketing teams can look for ways to combine creativity with data science, ensuring AI-generated content resonates while maintaining customer trust.

The Rise of Zero-Party Data

As third-party cookies continue their (likely?) march toward extinction, zero-party data—information that customers voluntarily share with brands—is emerging as an important asset. Though it’s the most difficult type of data to collect, with intentional and consistent efforts to gather customer feedback, marketers can build a valuable repository over time.

Zero-party data can offer significant advantages. Among them are its high degree of accuracy, the ability to generate actionable insights, and the fact that it is inherently more privacy-conscious. In 2025, savvy marketers will focus on obtaining more of this data by building genuine relationships with customers. This can include creating interactive experiences, offering value exchanges like exclusive content or discounts, and sharing information about how data is used.

AI-Powered Predictive Analytics

Predictive analytics, powered by machine learning, is helping marketers better anticipate customer behavior and optimize marketing. Through deep analysis of historical data, AI tools can forecast trends, identify high-value segments, and launch more effective marketing campaigns.

For example, AI can predict when a customer or prospect has the highest purchasing propensity, allowing marketers to engage them with well-targeted offers or messages. It can identify the products or services most likely to resonate with specific audiences, improving response rates and ROI. As these sophisticated tools become more easily accessible, marketers will increasingly rely on predictive analytics to move from reactive to proactive strategies.

Identity Graphs for Omnichannel Integration

Today’s consumers interact with brands across multiple devices, platforms, and channels. From mobile apps to in-store purchases, these interactions generate vast amounts of data that can be difficult to stitch together. Yet, consumers want consistent, personalized experiences whether they’re browsing a website, scrolling through social media, or shopping in-store.

For omnichannel integration to work, it requires breaking down data silos and combining insights across platforms. Identity graphs are a powerful tool that consolidates fragmented customer data into a unified, actionable profile. It serves as connective tissue that links disparate data points to provide a 360-degree view of each customer. By leveraging this comprehensive view, marketers can deliver seamless, contextually relevant campaigns.

Charting Success in 2025

2025 will surely test the ability of marketers to adapt to new technologies, guiding principles, and consumer expectations. While there certainly will be no shortage of challenges, the opportunities for meaningful engagement and measurable ROI have never been greater.

As the landscape continues to shift, the most successful marketers will be those who view data not just as a resource, but as a way to build deeper, more authentic relationships with their audiences.

Will any of the trends we’ve outlined in this article help you unlock the full potential of your marketing? Schedule a meeting to discuss optimizing your data strategy.

 

Data is one of the most valuable assets in modern marketing, but there are growing challenges to fully leveraging its powerful insights. As consumers grow more concerned about how their data is being used, and governments consider stricter privacy regulations, marketers must balance data-driven strategies with the demand for data privacy.

In the evolving data landscape, where both new opportunities and concerns are continually emerging, marketers must still answer an age-old question: how to effectively understand and communicate with their customers while building and maintaining trust.

The Changing Data Privacy Landscape

Over the past few years, a wave of privacy regulations has reshaped how businesses collect, store, and use consumer data. Starting with the European Union’s General Data Protection Regulation (GDPR) in 2018, followed by the California Consumer Privacy Act (CCPA), and more recently the California Privacy Rights Act (CPRA), data privacy regulations are becoming more strict and far-reaching. These laws give consumers more control over their data, including the right to know what data is being collected, the right to request deletion, and the right to opt-out of data sharing.

GDPR and CCPA have set the stage for similar legislation to emerge. States like Virginia, Colorado, and Utah have also passed data privacy regulations and many others are introducing bills. The regulatory landscape creates a unique dilemma for marketers who must appeal to consumers’ expectations for personalized experiences while also respecting their desire protect their personal information.

In this environment, businesses must make privacy a central consideration. Marketers must be proactive in understanding and addressing the concerns of their customers with strategies that infuse transparency, compliance, and trust into their programs.

 

The Balancing Act of Data-Driven Marketing and Privacy

At the same time, marketers must find ways to create targeted, personalized marketing campaigns while respecting consumer privacy and comply with evolving regulations. Is it possible strike this delicate balance?

The key lies in shifting from a data-maximization mindset to a privacy-oriented mindset. Instead of collecting as much data as possible, marketers should focus on which data is important to enhance the customer experience and meet their business goals. This approach embodies several key principles: 

• Identifying and collecting only the most important information. 
• Being transparent about what data is collected and why. 
• Implementing mechanisms that help customers stay informed and in-control of their data. 
• Accessing high-quality consumer data sources that are aggregated and analyzed with privacy-conscious methods. 

By adopting these principles, marketers can still target and personalize their marketing efforts without compromising individual privacy. 

 

Privacy-Conscious Data Marketing Tactics

There are a number of privacy-conscious marketing tactics that help businesses remain competitive and effective in the current landscape. For marketers who want to better understand what that looks like, here are several ideas. 

First-Party Data Strategies

In response to the growing restrictions on third-party cookies and other forms of tracking, marketers can turn to first-party data—information that customers provide directly to the business. First-party data is valuable because it is accurate. reliable information that is highly relevant to an individual business. Importantly, it is collected with the consumer’s consent, making it a more privacy-friendly option.

To build first-party data strategies, marketers should focus on creating value exchanges that encourage customers to willingly share their information. This can include feedback loops, loyalty programs, personalized content, product recommendations, and interactive experiences that are tailored to individual preferences. The goal is to provide consumers with a reason to share their data, while making sure that they understand how it will be used to enhance their experience.

IP-Targeted Advertising

IP-targeted ads can offer a more privacy-conscious approach to digital advertising. It leverages IP addresses to target audiences without relying on cookies, census blocks, or geo-location tools, minimizing the collection of personally identifiable information. One of the key advantages is the ability to reach specific demographics without compromising privacy.

IP addresses can be determined using offline data like physical addresses. Appropriate individuals who are likely to be interested in a particular product or service can be targeted with less reliance on data collection and tracking.

B2E uses IP-targeting to helps client implement "captive audience" strategies, where ads are delivered to venues where target populations gather, like for example, a conference or special event. This creates the opportunity for efficient and relevant advertising, as ads can be delivered directly to potential customers while they are actively engaged in online activities. For additional impact, B2E can incorporate "venue replay" into campaigns. This targets devices after individuals leave specific venues, reaching targeted individuals without the constant tracking of their online behavior.

Privacy-Focused Personalization

While personalization is a key aspect of modern marketing, it must be done in a way that respects privacy. Marketers can use data-driven personalization techniques that do not infringe on consumer rights or violate regulations. B2E offers national consumer data that balances personalization with privacy by focusing on aggregate demographic insights rather than individual-level tracking.

B2E’s consumer data provides a comprehensive understanding of the highly-targeted consumer segments relevant to a specific business. This empowers marketers to tailor their messages and offerings based on characteristics such as age, income, education, and lifestyle so they can create highly relevant and engaging experiences without relying on personally identifiable information.

By focusing on broader demographic trends rather than individual browsing behavior, businesses can deliver personalized experiences while minimizing the risk of data breaches and misuse. What’s more, this data can help businesses identify emerging trends and opportunities within specific markets by identifying the evolving needs and preferences of different consumer segments. This helps businesses stay ahead of the curve and develop products and services that resonate more deeply.

Marketing Success in a Privacy-First World

The future of successful marketing lies in balancing the power of data with the growing demand for privacy. It’s entirely possible for marketers to drive effective, data-driven campaigns while respecting consumer privacy and complying with evolving standards.

Those who successfully navigate this landscape will strengthen their relationships with consumers and build a foundation of trust that leads to long-term success. Need help navigating the new terrain? Reach out to schedule a free consultation and learn more about B2E’s data marketing services!

 

 

When it comes to marketing campaigns that are able to fuel business growth, clean and accurate data is the foundation success is built upon. New technologies combined with rapidly shifting consumer behaviors mean marketers must go beyond basic data hygiene practices to stay on top of keeping data fresh and functional.

Today’s consumers are far more discerning. The information you have about them must be accurate and relevant, paving the way for well-targeted and personalized marketing communications to engage them. Yet, recent studies show that more than half the data used for ad targeting is wrong.

Dirty data not only stands in the way of effective personalization, but the negative impact is amplified across wasted resources, missed opportunities, and decreased ROI. Good, solid data should be every marketer’s immediate priority.

Why Clean Data Matters More Than Ever

Several current trends highlight the growing importance of clean and accurate data.

AI and Machine Learning: Advancing technologies rely heavily on high-quality data to deliver accurate insights and predictions. Clean data ensures that these technologies can function optimally and provide valuable customer insights.

Personalization at Scale: Consumers expect highly personalized experiences. Clean data enables marketers to create detailed customer profiles, segment audiences effectively, and deliver tailored content that resonates with individual preferences and behaviors.

Omni-Channel Marketing: With consumers engaging with brands across digital and in-person channels, consistent and accurate data is essential for creating cohesive and seamless experiences. Good data allows for effective cross-channel tracking and integration, ensuring that marketing messages are consistent and relevant across all touchpoints.

Enhanced Customer Experience (CX): The most successful brands and businesses know customer experience is a key differentiator. Accurate data helps marketers understand customer needs, preferences, and pain points, and create more meaningful and engaging experiences.

Data Privacy and Security: As data privacy concerns grow, maintaining data properly is critical for building trust with consumers. It ensures that personal information is handled responsibly, maintaining customer confidence and the credibility of your brand.

Advanced Strategies to Keep Data Fresh and Valuable

In a data-driven landscape, marketers must elevate their data management strategies beyond basic hygiene to unlock the full potential of their customer insights. By implementing advanced data cleaning, enrichment, and governance practices, organizations can create a robust foundation for accurate, actionable, and customer-centric marketing campaigns. This can include: 

• Automated data cleaning tools that detect and correct errors, remove duplicates, and update outdated information in near real-time.
• Data enrichment from top-tier data sources that fill gaps, improve accuracy, and create a more comprehensive view of your customers. At B2E, we use Experian data, one of the most expansive datasets available, which has also been top-ranked for data accuracy.
• Regular data audits and monitoring to identify and rectify issues promptly. Without continuous attention, data accumulates errors and degrades significantly over time. 
• Data governance policies that define data standards, roles, and responsibilities. This will help maintain data quality and integrity across the organization.
• Breaking down data silos by integrating data across different systems and departments. A unified data infrastructure ensures everyone has access to the same accurate and consistent information for decision-making.
  
  

Marketing Excellence is Backed by Good Data

The path to marketing excellence is paved with clean and accurate data. As emerging trends and technologies are increasingly data-powered, quality becomes more paramount. With sound data management, marketers can unlock the full potential of their data and drive more effective campaigns. 

Do you need access to superior quality data, or help maintaining data integrity? Reach out to schedule a free consultation and learn more about how B2E can help!

 

 

When it comes to reaching the right audience with precision, the tools marketers use make all the difference. As the landscape shifts toward privacy-first approaches, the challenge of targeting consumers without relying on traditional methods, like cookie tracking, has become more pressing. Marketers are left searching for solutions that not only align with evolving public sentiment and regulations, but enhance their ability to drive meaningful engagement. 

As marketers evaluate new solutions, they’ll discover that while many firms offer the same type of services, they aren’t all alike. As one example, geoframing, an advanced technology available through B2E’s MotusIP technology, is a more sophisticated option for targeted marketing that we believe outperforms competing technologies like cookie-based IP targeting, and cluster IP targeting. 

Let’s take a look at why. 

Using Geoframing for Highly Targeted Marketing

If you aren’t familiar with geoframing, it offers a sophisticated and targeted approach to location-based marketing. Geoframing uses historical location data to target individuals who have visited a specific place or geographic area. This allows marketers to build audiences based on past visits to a defined area.

MotusIP is able to build a database of IP addresses (the numbers assigned to each device connected to an individual computer network) by drawing geoframes around locations such as homes or businesses. This process collects the mobile advertising device IDs (MAIDs) of the devices seen at the physical address and matches to a home address. Geoframing uses latitude and longitude data to inventory MAIDs within a highly precise area, down to the square meter level. When B2E matches a customer (or prospect) to the IP database, we can then target all of the devices in that home with relevant digital advertising. 

By connecting MAIDs to home addresses, you can reach multiple decision-makers within a single household. This allows businesses to engage with entire households, improving the chances of reaching the right people. What’s more, MotusIP can target based on past behavior. This allows businesses to re-engage with potential customers who may have visited their location or a competitor's in the past, keeping their brand top of mind.

As you can see, geoframing offers exciting opportunities for precise targeting and a retrospective understanding of consumer location behaviors. Let’s examine how it stacks up against competing technologies.

Geoframing vs. Cookie-Based IP Targeting

Geoframing and cookie-based IP targeting are both methods used to target online users with location-specific ads. But, relying on cookies today can be uncertain, inaccurate, and susceptible to privacy concerns. 

While cookies have long been a staple in online tracking and targeting, their future is very much in flux. Though Google recently walked back plans to phase out third-party cookies in its Chrome browser, marketers would be wise to find solutions that preserve their ability to target users without relying solely on cookies’ uncertain future. 

What’s more, Cookie-based IP location targeting can be inaccurate, especially for users with dynamic IP addresses or who use VPNs. By leveraging historical location data tied to a user’s physical movements, MotusIP’s geoframing-based solution can pinpoint where individuals have been. This enables marketers to build more detailed and precise audience segments, targeting users based on actual, verifiable locations rather than sometimes misleading data provided by cookies. 

By combining geoframing with other data sources, marketers can create even more sophisticated targeting strategies. For example, by combining MotusIP data with demographic, lifestyle, and financial information, marketers can target very specific segments of the population based on location and interests.

Unlike cookies, geoframing with MotusIP is privacy-compliant. As marketers continue to adapt to a more privacy-conscious world—potentially without cookies—MotusIP is already ahead of the curve, offering marketers a solution that is both forward-looking and effective today.

Geoframing vs. Cluster IP Targeting

Cluster IP targeting is another technique employed to deliver ads to specific audiences based on their location by grouping IP addresses within specific geographic regions. While this method can provide a basic level of location targeting, it suffers from inaccuracies due to the dynamic nature of IP addresses and the varying granularity of geographic clusters. Many IP addresses are shared or reassigned frequently, making it difficult to maintain precise targeting. Marketers may target a broader area than intended, reducing the relevancy of ads and increasing the chances of wasted spend.

Additionally, the geographic clusters used in Cluster IP targeting lack granularity.  Because cluster IP targeting is based on aggregated data from shared networks, it can only provide information around the general behavior of a group or cluster. 

With MotusIP, marketers can target individuals based on where they have been, allowing for more refined audience segmentation. Whether targeting visitors to a competitor’s store, attendees of a specific event, or individuals frequenting a particular neighborhood, MotusIP allows for more personalized and timely engagement. 

MotusIP offers a level of accuracy and precision that cluster IP targeting simply cannot match. Ultimately, geoframing with MotusIP stands out as the more powerful solution for marketers looking to achieve precise, location-based engagement.

Advanced Technology with High Data Integrity

While others may offer similar technologies, B2E offers both superior technology and a high degree of data security and integrity. We’re proud to have passed the SOC2 audit annually with no exceptions. 

As the digital marketing landscape continues to evolve at a rapid pace, businesses must stay ahead of the curve by adopting technologies that deliver precise targeting, measurable results, and the ability to engage their target audience effectively. Interested in learning more about geoframing with B2E? Let’s talk! Set-up a complimentary discovery conversation.

In July 2024, Google made a significant reversal in its decision to phase out third-party cookies from its Chrome browser. For years, the advertising and marketing community has been preparing for this change, and the unexpected move has prompted a lot of questions. 

Des Moines, Iowa – (Aug. 26, 2024) – 

Data-driven marketing service provider B2E Data Marketing has again successfully completed its annual SOC 2 audit with no exceptions. This achievement underscores B2E’s ongoing commitment to maintaining the highest standards of data security and privacy for its clients.

B2E has completed a SOC 2 examination with no exceptions for five years running.

 

The SOC 2 (System and Organization Controls 2) audit, governed by the American Institute of Certified Public Accountants (AICPA), is designed to evaluate a company's ability to securely manage data to protect the privacy of its clients. The audit assesses the effectiveness of an organization’s controls relevant to security, availability, processing integrity, confidentiality, and privacy.

 

Successfully passing the SOC 2 audit with no exceptions means that B2E meets or exceeds industry standards for data protection. The audit was conducted by a third-party firm, which rigorously evaluated B2E's policies, procedures, and practices.

 

"In today’s digital landscape, where businesses are more interconnected than ever, the data security of business partners is critical,” said B2E President Keith Snow. “Every year, the SOC 2 examination underscores our commitment to safeguarding data with industry best practices, so our clients know their data is in safe hands.”

 

In addition to meeting SOC 2 standards, Snow is a member of Infragard, a public-private partnership between the FBI and private sector focused on cybersecurity and national infrastructure protection. Members of Infragard participate in ongoing dialogue on cyber threat intelligence and best practices, and share industry-specific knowledge and insight on risks. The overall mission is to improve country’s collective ability address and mitigate threats to critical infrastructure. 

 

About B2E Data 

Established in 2003, B2E Data Marketing is a SOC 2-certified data marketing agency that helps organizations make data-driven decisions. Its data services span social and digital campaigns, email campaigns, data hygiene and enrichment, audience segmentation and profiling, analytics, identity/identity resolution, mailing lists, and marketing measurement. It serves companies in the financial, insurance, home services, education, and franchise/dealer sectors and is a strategic partner to advertising agencies. Learn more at www.b2edata.com. 

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Have you ever found yourself wondering if your direct marketing efforts are actually reaching those most likely to convert? If targeting the right customers or prospects feels like a bit of a gamble, it’s time to explore predictive lead scoring. This data-driven approach is transforming how marketers prioritize and engage with those who are most likely to grow their business.

Data visualizations aren’t new; charts and graphs have been common visual aids for decades —even centuries! It’s for good reason. Compelling visuals transform complex information into formats that are easier to understand, interpret, and act upon.

Traditional charts and graphs are being augmented with more sophisticated tools that provide deeper insights and more dynamic representations of data. Interactive dashboards, real-time analytics, and AI-powered visualizations are among the innovations that are redefining how marketers interpret and use data. Here’s a look at what’s trending.