How We Incorporate Innovation Into Our Clients’ Work

At Coegi, innovation shapes every project we undertake, driving us to not just create new ideas but to also transform these ideas into valuable, tangible solutions for our clients. This approach to innovation— both the creation of fresh concepts and their successful application—is fundamental to our work. We advocate for a subtractive mindset alongside traditional “out-of-the-box” thinking, encouraging our team to enhance efficiency by removing unnecessary elements. 

Our approach emphasizes a culture where innovation means both introducing new ideas and thoughtfully streamlining, ensuring our solutions are both creative and efficient. By adopting this dual approach, we offer unique strategies that aren’t innovative for the sake of innovation, but are grounded in measurement to help global brands reach their business goals. 

Our Innovative Approach: Strategy + Culture

Our innovative approach is twofold, deeply intertwining agile methodologies with a robust cultural commitment to innovation to create dynamic, data-driven media strategies. This combination allows us to quickly develop, test and learn, and refine ideas, ensuring our campaigns effectively meet the rapidly changing needs of our clients. 

Our people and experiences have positioned us as trusted guides for global brands and agencies navigating the complexities of the media industry. We tackle major industry challenges head-on, from consumer privacy and advertising regulations to the integration of sustainability in ad tech and the deployment of AI tools. Our approachable leadership plays a pivotal role in breaking down silos, enabling seamless collaboration across departments and ensuring that innovation is a collective ambition.

Ultimately, fostering an innovation mindset has allowed us to transform innovation from a specialized discipline into a fundamental aspect of our organization. This equips us to not only address the immediate challenges of today’s media landscape, but also sets the foundation for enduring success and adaptability in an ever-changing industry.

Showcasing Innovation: Case Studies and Business Impact

Our success stories highlight how we creatively solve challenges with our clients, focusing on the teamwork and strategies that lead to innovative outcomes.

One standout example involves Coegi increasing vaccine consideration by 28% and driving an 88% lift in vaccine discussions for Moderna’s COVID-19 booster among multicultural consumers. By identifying a significant Spanish-speaking target demographic, Coegi crafted a campaign that leveraged authentic storytelling through micro and nano influencers, an approach that was largely underutilized for the pharmaceutical industry. These influencers, ranging from healthcare professionals to lifestyle bloggers, created relatable content in Spanish, addressing key questions about COVID-19 vaccination and establishing trust in Moderna’s product.

Another example highlights our work with a tourism client seeking to innovate around safety during the pandemic. Understanding the need to reassure travelers and promote safe travel experiences, we implemented a scoring model that assessed and communicated safety measures effectively. This initiative not only helped in restoring traveler confidence but also in promoting responsible tourism advertising practices during challenging times. 

The impact of our work is seen through our clients:

  • Our solutions are implemented with agility and a keen problem-solving approach, demonstrating our ability to navigate and overcome obstacles effectively.
  • Positive outcomes from these projects include both quantitative and qualitative business results.
  • These cases underscore our commitment to leveraging innovation for continuous improvement and client success.

 

The Future of Innovation in Our Workspace

Fostering a culture of innovation has been instrumental to our success thus far. As we look ahead to the future of innovation within Coegi’s workspace, it’s clear that the journey we’ve embarked upon is set to deepen and diversify. The essence of innovation, after all, is not just in conceiving new ideas but in effectively bringing them to life to solve real-world challenges. 

To streamline our focus and maximize our impact, we’re honing in on four key areas:

  • Investing in emerging technologies: Staying at the forefront of technological advancements to ensure our solutions remain innovative and relevant for our clients.
  • Fostering continuous learning: Creating opportunities for our team to grow their skills and knowledge, keeping us agile and informed.
  • Building strategic partnerships: Collaborating with a diverse range of agency and publisher partners to expand our perspectives and capabilities.
  • Exploring sustainability: Integrating eco-friendly practices into our projects, aligning with our commitment to making a positive impact on the world.

As we move forward, our vision for the future of innovation in our workspace is not just about maintaining our trajectory but about setting new benchmarks for what we can achieve. By focusing on these strategic areas, we aim to not only continue solving complex challenges for our clients but also to contribute positively to the broader industry and society. Innovation will always remain a journey—a path we navigate with purpose, determination, and an unwavering focus on creating value that transcends the ordinary.

 

5 Steps to Building a Stronger Customer Engagement Strategy Using Digital Marketing

Run-of-the-mill approaches to grabbing attention are no longer sufficient to win with today’s customers. Brand success depends on our ability to engage with our audience on a personal level, captivating them through unique and/or convenient offerings, and converting this brand preference into tangible outcomes within customer engagement. 

With Twilio’s 2023 The State of Customer Engagement Report showing 66% of consumers leaving brands that lack personalization, it’s clear that tailored experiences are essential to meet individual customer needs and sustain strong relationships.

Four Core Channels for Engaging Customers

To adeptly maneuver within this setting, there are four key areas to master:

  1. Social Media Engagement: Examine the entire landscape to select platforms that resonate strongly with your target audience, focusing on where engagement levels are highest. Experiment with different advertising tactics to discover which types of content generate the most interaction. It’s crucial to maintain a consistent approach across both paid and organic content, ensuring close collaboration throughout the process.
  2. Programmatic Demand-Side Platforms: The use of programmatic buying strategies on DSPs will optimize your digital advertising by placing ads in the most impactful locations across the internet. Focus on targeting the high-precision audience effectively and at the right moments to increase relevance and drive success from your campaigns.
  3. Search Marketing: To enhance customer engagement through search marketing, seamlessly blend targeted keyword optimization and dynamic content strategies across digital channels. By crafting compelling, SEO-optimized ad copy and content tailored to audience preferences, you can maximize outcomes on this performance-driven channel.. 
  4. Content Marketing: Consistently produce and share content that not only educates and entertains, but also addresses the audience’s needs and preferences. Diversify content formats across paid advertisements, social media posts, and organic blog content to capture a wider audience and foster interaction. Continuously analyze engagement metrics to refine your content strategy for better results.

The key to all of this – personalization. Utilize analytics tools, your CRM software, and/or dynamic creative optimization technology to create highly personalized experiences for their customers. This approach not only increases engagement, but also customer satisfaction and loyalty.

Implementing an Integrated Engagement Strategy

Mastering customer engagement requires weaving these tactics into a unified brand strategy. With 86% of consumers indicating that personalized experiences boost their brand loyalty, creating a marketing ecosystem can substantiate the importance of personalized engagement in enhancing customer loyalty. A well-integrated marketing ecosystem not only aligns with customer preferences for personalization but also strengthens brand loyalty by delivering cohesive and relevant experiences at every interaction.

Here are five essential next steps to transform your approach and achieve unparalleled success in customer engagement.

  1. Audit and map the customer journey: Begin by thoroughly reviewing your current customer journey to identify critical decision-making touchpoints. This will help in pinpointing where improvements or integrations can be made to enhance the overall experience.
  2. Define objectives and select tools: Clearly outline your engagement goals and choose digital marketing tactics that align with these objectives, ensuring they can work together seamlessly across channels.
  3. Develop a unified content plan: Create a cohesive plan that encompasses content marketing, social media engagement, email segmentation, and loyalty programs, ensuring each element supports the others for a unified customer experience.
  4. Analyze performance and gather feedback: Regularly monitor the effectiveness of your engagement strategies through metrics and customer feedback, using these insights to continuously refine your approach.
  5. Iterate and optimize strategically: Treat your engagement strategy as a work in progress, ready to be adjusted based on performance data and shifting customer needs, to maintain relevance and effectiveness over time.

Sealing the Deal

Mastering customer engagement in the digital age requires a strategic useof personalization, making the consumer feel that everything that they are seeing is relevant while still scaling across your audience. By harnessing the power of innovative digital marketing tools, businesses can create engaging, personalized experiences that resonate with customers and drive loyalty and growth. As you evaluate your current engagement strategies, consider how integrating these tactics can elevate your customer interactions and set your brand apart in a crowded digital landscape. Encourage your team to embrace these changes, leveraging the insights and tools available to create meaningful connections with your audience.

How Search Engine Insights Fuel Growth Marketing

Most think of search as purely an activation channel that captures demand and defends the brand’s presence on the SERP, but it’s actually an intent-driven data goldmine. Search can be leveraged as the eyes and ears for a brand to gain insights on audience motivations and pinpoint their stage in the conversion journey. These insights should be translated into holistic channel mix planning, media measurement, and competitive research to build an informed growth marketing strategy.

The big picture

Picture it: All of your brand’s digital (and even traditional) media gets completely turned off for a month. What do you think would happen to demand? The brand’s search volume would likely take a noticeable hit since search effectiveness diminishes without the push of brand messaging from efficient reach channels like streaming TV or social media. Similar to social listening, search serves as a behavioral listening tool that captures consumer engagement with brands throughout their conversion journey. For example, if someone sees a connected TV (CTV) ad that piques their interest and addresses a current need, the logical next step is searching for the brand to learn more and potentially convert. This scenario highlights the critical relationship between paid media channels and brand demand – as advertising amplifies a brand’s offering across channels, consumer demand grows. By using search lift as a KPI, we can analyze demand pre and post marketing initiatives to understand the directional impact on total sales.

Why it matters

Using search analysis as a key indicator of consumer demand lays a foundation for a growth marketing strategy. First, it can identify untapped opportunities and whitespace to better align media investment and messaging based on seasonality and emerging keyword trends. For example, if a financial brand consistently observes search demand peaks during tax planning season, they can heavy up their digital presence with a branded search investment that will effectively capture consumer demand and drive them to convert. 

Analyzing search lift after a media initiative launches can also help uncover how the channel mix and messaging strategy impacted brand awareness and interest, informing future channel investment. Non-clickable environments, such as CTV, can be challenging to showcase the impact on driving conversions, but using search demand provides directional insight into a holistic view of your marketing efforts.

Applying search insights to maximize your marketing ROI:

  • Real-time optimization: Analyzing search trends offers a cookieless measurement and attribution solution that not only measures the impact of paid media on driving brand awareness and purchase intent, but also informs real-time campaign optimizations. Examining branded search lift, the increase in search volume of branded or related keywords, after a marketing initiative launch can inform campaign optimizations, including:
    • Audience targeting refinement to maximize reach and allocate media spend toward the highest performing segments to drive ROI
    • Messaging strategy optimization based on consumer searches, dynamically tailoring the messaging to align with their preferences and needs
    • Marketing budget reallocation to channels driving the most effective search lift 
  • Competitive intelligence: Search trends can give you a peek behind your competitor’s curtain to learn what initiatives they are amplifying or what audiences they are reaching. By analyzing the peaks and valleys of competitor search trends, you can identify whitespace to capture the attention of potential customers who are actively searching for a related product or service. Get started by:
    • Analyzing competitor messaging strategies to identify ways to differentiate your brand and highlight the value of your offering
    • Increase media investment during the valleys of a competitor’s search trends to capitalize on the lower competition efficiently, grow share of voice, and gain a spot on audiences’ consideration sets
    • Develop a targeting strategy aimed to engage with movable audiences who have been exposed to your competitor but aren’t yet loyalists
  • Demand forecasts:  Search demand insights can be leveraged far beyond marketing strategy development and execution – it can also inform broader business implications, such as:
    • Supply chain logistics – ensure efficient operations with production and staffing levels based on consumer search demand
    • Seasonality indicators – uncover your customer’s most important needs and preferences to inform your brand’s messaging strategy to engage them with relevant content

The application of search engine insights goes way beyond SEM channel activation – it’s a treasure trove of intent-based data that should be used at every stage of marketing strategy development and execution to effectively align with consumer demand and preferences.

Navigating Privacy Regulations In The Dynamic Pharma Landscape

From the patchwork of stringent state laws to the nuances of consent in patient data usage, explore the critical elements that organizations must adeptly navigate privacy regulations to ensure ethical and legal adherence in this dynamic pharma landscape.

State of Privacy Regulations in the United States

Data privacy laws, especially those related to healthcare, are subject to frequent changes at both the federal and state levels. At the federal level, the Health Insurance Portability and Accountability Act (HIPAA) is a key regulation governing patient data privacy. However, there may be additional federal laws, state laws, and other enforceable guidelines that impact healthcare marketing. Staying updated with these changes is important not only for following the law but also for maintaining top-level privacy and trust in healthcare.

Divergence at Federal and State Levels

Within the federal landscape, HIPAA serves as a fundamental regulation, offering baseline protections for Protected Health Information (PHI). However, beyond HIPAA, various factors contribute to the evolving regulatory environment. The CARES Act, with its temporary modifications to HIPAA, introduces additional considerations for handling health data during emergencies. The FTC continues to play a crucial role in enforcement, ensuring that entities adhere to privacy standards.

On the state level, the regulatory landscape introduces a patchwork of stricter laws that organizations must consider. States like California, with the California Privacy Rights Act (CPRA), Colorado with the Colorado Privacy Act, and Virginia with the Consumer Data Protection Act, have implemented comprehensive privacy laws. These state laws grant patients various rights over their data, necessitating organizations to establish robust opt-out and data deletion processes to comply with diverse state-level requirements. The existence of these stricter state laws adds complexity for entities operating across multiple jurisdictions, requiring them to adapt their practices to align with varying privacy standards.

Difference in Patient and Provider Marketing

Patient marketing operates under more stringent restrictions due to the involvement of sensitive health data. The use of PHI necessitates careful handling and compliance with privacy regulations. Organizations engaging in patient marketing must establish clear opt-in and opt-out mechanisms, allowing individuals to express their preferences regarding the use of their health information. Transparency about how data is utilized becomes paramount, ensuring that patients are informed about the purposes for which their information is being used. This transparency not only aligns with regulatory requirements but also builds trust with patients, a critical factor in healthcare marketing.

In contrast, marketing efforts directed at healthcare providers may have less stringent regulatory requirements concerning patient data. However, ethical considerations and data security measures remain crucial. While there may be more flexibility in the approach to provider marketing, organizations must uphold ethical standards to maintain trust within the healthcare ecosystem.

Compliance Strategies

Principle of Clear and Informed Consent

The essence of clear and informed consent is embodied in four key attributes:

  • Freely given: No coercion or undue pressure.
  • Specific: Clear explanation of data usage and sharing.
  • Granular: Allow patients to choose what data is used and shared.
  • Revocable: Easy opt-out mechanisms.

Opt-In Methods and Opt-Out Mechanisms

Opt-in and Opt-out methods are pivotal in healthcare marketing, offering an ethical way to engage individuals by obtaining their explicit consent prior to using their information for marketing purposes. 

Opt-in Methods:

  • Require obtaining explicit consent before using information for marketing.
  • Align with clear and informed consent principles.
  • Allow individuals to express willingness to receive promotional materials or participate in initiatives.

Opt-out Mechanisms:

  • Important to protect sensitive health information.
  • Essential for effective consent management.
  • Crucial for adhering to privacy regulations.
  • Important for nurturing trust among stakeholders

Role of Consent Management Platforms (CMPs)

CMPs are valuable tools for pharma brands, enabling them to specify the exact purposes for which patient data will be used, particularly in remarketing efforts. This level of granularity in consent management not only aids in regulatory compliance but also plays a significant role in fostering patient trust.

Managing Third-Party Data Aggregation

While leveraging data is essential for targeted marketing efforts, especially in the pharmaceutical industry, where Personal Health Information (PHI) is involved, it is crucial for pharma brands to exercise caution when considering third-party data aggregation. Sharing PHI requires explicit authorization and adherence to strict data security measures to protect patient privacy. A notable challenge in the realm of third-party data aggregation for pharma brands is the inherent difficulty in auditing external service providers thoroughly. As a general principle, pharma brands should exercise prudence and consider the potential risks associated with incorporating third-party data into their marketing strategies. 

Ultimately, these efforts converge on a singular goal: to uphold the highest standards of patient privacy and trust. As the legal and ethical landscape continues to evolve, staying informed and adaptable is not just a regulatory requirement but a cornerstone of building lasting relationships in the dynamic world of healthcare marketing.

How AI is Transforming Contextual Targeting

AI is revolutionizing the way ads are matched with online content, transforming contextual targeting from basic keyword matching to a sophisticated understanding of user intent and content relevance. This evolution highlights the shift towards more dynamic, personalized advertising strategies that leverage AI to enhance privacy and precision in reaching audiences.

Executive Summary:

  • At the onset of contextual targeting, the human-led analysis of keywords was mired with campaign scaling issues and imprecise targeting due to the lack of semantic signals resulting in engagement with users in an irrelevant context. (source)
  • With advancements in AI technology, namely natural language processing, contextual targeting has become a precise and privacy-centric targeting solution.
  • Identity deprecation has driven users to not only want, but expect personalized brand engagement. Contextual targeting can create a tailored one-to-one experience by seamlessly integrating brand messaging with the content users are actively engaging with.
  • Contextual 2.0 enables content analysis beyond text-based signals – AI can now efficiently analyze the content and context of video, audio, and images, and metadata in real-time. Advancements in natural language processing improve the accuracy of contextual targeting through improvements in sentiment, semantics, and theme analysis.
  • The future of contextual will see continuous improvements in semantic analysis accuracy and unprecedented scalability, especially as marketers increasingly incorporate contextual targeting as a core element of their brand strategies amidst cookie deprecation.

LinkedIn is Removing Lookalike Audiences: What Marketers Need to Know

Starting February 29, 2024, you will no longer be able to create new lookalike audiences or refresh and edit current lookalike audiences. Lookalike audiences were designed to help expand audience reach by targeting individuals with similar characteristics to the base audience. Active lookalike audiences will continue to deliver as they appear until the end of February. After 30 days, if a lookalike audience is not active in a campaign, it will be archived.  

LinkedIn has launched predictive audiences, a new tool designed to enhance your campaign’s effectiveness by offering:

  • The ability to reach perfect-fit prospects by matching them with your existing customer base’s characteristics
  • AI-powered precision to identify high-intent buyers most likely to convert.
  • An effortless setup by simply combining your data with LinkedIn’s algorithm to automatically generate a custom audience tailored to your needs.
  • Lead generation gold: campaigns see a significant 21% reduction in cost-per-lead.

So what is the difference between the two? Lookalike audiences rely on historical data to mirror past behaviors of customers, assuming these behaviors will persist. In contrast, predictive audiences use AI to forecast future actions based on recent interactions, like website activity and email engagement, allowing for more tailored and anticipatory campaign personalization. This forward-looking approach enhances the experience by accurately predicting customer interests and potential actions. 

Practical Use

Predictive audiences can be created within the audience tab, found in the same location as lookalike audiences. After you name your audience you’ll be able to choose the source. All predictive audience sources require a minimum number of 300 members. Lastly, you’ll choose the location and size of the audience.

Options for expanding LinkedIn audiences in the future:

  • Predictive Audiences – expand your campaign’s reach by creating an audience that mirrors the traits of your existing data source who are more likely to convert.
    • Create a more targeted audience with minimal data sources, focusing exclusively on LinkedIn-specific inputs such as lead gen forms, contact lists, or conversions through the Insight Tag.
  • Audience Expansion: Target groups that share key characteristics with your primary audience, broadening your reach while maintaining relevance.
    • Attributes specifically excluded from your target audience will not be included in audience expansion.
    • When creating the campaign’s targeting, the audience count will not include members from audience expansion.
    • Audience expansion is not available when predictive audiences are selected.
  • LinkedIn Audience Network – deliver ads beyond the LinkedIn feed to members on third-party apps and sites.
    • The same targeting parameters, bid type, and budget created for your campaign applies.
    • This is only available for the following ad formats: single image, carousel, document, and video ads.

Social Commerce & The Future of Social Shopping

The big picture: The concept of social commerce took root during the early days of eCommerce. But it was the mobile revolution, plus the meteoric rise of social media titans like Facebook, Instagram, and Pinterest, that enabled this approach to truly disrupt digital shopping.  

Social commerce focuses on convenience and relationship-building, tapping into unplanned discovery moments as consumers scroll through inspirational content. Watching real people interact with products helps shoppers understand and visualize them better, building confidence around online purchases.

For marketers, this shift toward social platforms reflects new expectations set by Gen Z and millennial shoppers who increasingly make purchases directly via social apps. It is an opportunity to maximize reach and nurture lasting brand relationships by organically integrating into the customer journey. Platforms now orchestrate a seamless, trust-based shopping experience where inspiration can instantly lead to purchase.

Why it matters: Despite expectations that eCommerce will surpass 8 trillion dollars by 2027, consumers are becoming increasingly wary of how much of their personal data they share with online marketplaces and brands. Marketers may accidentally push these hesitant consumers further away by pushing hard-sell messaging to audiences who are still considering their product. These tactics are the online equivalent of the over-eager salesperson peppering you with corporate scripts about deals and asking you to open a store credit card when all you were looking to do was casually browse. They’re annoying. 

But casual browsing presents an excellent opportunity for brands to humanize their eCommerce messaging. This shift toward Social Commerce allows for the ease of purchase and speed of online shopping while giving consumers the chance to window shop again. 

How it works: The goal is to remove friction when interest strikes while also organically introducing additional products based on what originally caught their eye.

  • For example, when a consumer admires a product shown by an influencer they trust, social commerce allows them to seamlessly find that item or brand’s storefront to browse and buy. They will be able to find those glasses and discover a range of other items, enhancing their shopping experience. 

Done well, the experience guides consumers through an intuitive path to purchase via content they already enjoy. This allows brands to inspire consideration and visibility of products in authentic contexts rather than disruptive ads. Social commerce puts the shopper first – their organic journey dictates the path, not predetermined funnels.

How to start:

  • Ensure your brand has ‘virtual storefronts’ across online marketplaces and social media platforms, keeping in mind that the virtual aesthetic is just as important as physical store décor. 
  • Create natively social, shoppable content and tap influencers who have an authentic tie to your brand. Small influencers are essential: the recommendations of these content creators drive 86% of purchases — just as strong as recommendations from a trusted real-life friend. 
  • Explore how to repurpose authentic user-generated content (UGC) in your marketing materials. The goal is to facilitate organic community engagement and discovery around your brand versus hard-selling. 

The bottom line: The future of brand loyalty lies in shoppable communities, where shared values and experiences fuel organic amplification. Social content creates better browsing experiences, allowing consumers to discover items at their own pace before being hit with hard-sell messaging. Social Commerce provides an authentic, engaging discovery experience — adding the human touch back to your eComm strategies.

Say No to Lazy Data – How Everyone Can Be Part of the Solution

What is Lazy Data?

Picture this: a chaotic jumble of inconsistent formats, messy categories, and a general disregard for order. Lazy data isn’t just data that prefers lounging on the couch to hitting the gym; it’s the unruly teenager of your business – wild, rebellious, and refuses to conform to a standard.

This laid-back attitude is the root of the problem – a lack of discipline that prevents your data from realizing its full potential. Lazy data isn’t a solitary problem; it triggers a domino effect. One inconsistent entry leads to confusion in reporting, which, in turn, affects decision-making.

Why Did Data Get Lazy?

In the early days of digital marketing, the ease of connecting systems with just a click led to a somewhat chaotic scenario. Imagine the digital landscape as the Wild West, with data flowing freely and connecting without much oversight. While convenient, this Wild West approach allowed lazy data to thrive, as there were minimal checks and balances. The ability to effortlessly connect systems created a false sense of accuracy, like linking two puzzle pieces together without ensuring they fit. 

Inconsistent data entry, neglecting updates, and failing to recognize the importance of standardized schemas have allowed lazy data to infiltrate our systems. The result? Confusion, inefficiency, and missed opportunities.

As privacy regulations tightened, especially in the wake of concerns surrounding user data, businesses realized they could no longer afford a laissez-faire attitude. The emergence of data clean rooms and the imperative for strict naming convention compliance, essential for enabling tools like marketing mix modeling, forced a reckoning. Lazy data, accustomed to a more carefree existence, suddenly found itself in an environment that demanded structure and order.

While the concept of standardized schemas might initially seem bureaucratic, they are, in fact, the essential foundation for ensuring data usability. Consider it as akin to a musical performance without a conductor; in such a scenario, each instrument plays its own tune, leading to dissonance.

How to Solve  

Data should not be viewed as isolated islands or individual pieces. Instead, envision your organization as a harmonious orchestra led by a master conductor. This fresh perspective brings forth a unified approach, ensuring that every fragment of data performs its role seamlessly.

View Your Business as a System: Don’t think of your business data in silos or individual platforms. Instead, adopt a holistic approach, viewing your organization as an interconnected system – an orchestra led by a master conductor. This perspective helps in creating a seamless flow of information and makes sure that every piece of data plays its part.

Embrace the Standard: Establish a standard data schema across your business. Think of it as giving your data a set of rules to live by – no more rebels without a cause – every piece of data should know its role and play it well.

Audit to Insure: Regular audits are the insurance policy for your data’s health. Ensure that the established standards are being followed and identify any areas that might need a little extra TLC. An audit is like a health checkup for your data – catch potential issues before they become major problems.

Mastering the Cookieless Future: Leverage Retail Data for Unmatched Customer Engagement

In the cookieless marketing era, the decline of third-party cookies opens new doors for marketers to leverage retail data, transforming marketing with personalized, engagement-driven messaging. This shift to analyzing customer behaviors and preferences via retail data not only enhances campaign effectiveness and loyalty but also fuels predictive analytics for strategic planning in product development and inventory. As traditional reliance on third-party cookies becomes obsolete, retail data stands out as a vital tool for building deeper customer relationships and driving business success

First-party retail data guides the way for gaining strong insights into customer behaviors and preferences, which are vital for enhancing personalization and developing tailored loyalty programs. Its use breaks through the limitations of traditional marketing, allowing businesses to understand customer segments more profoundly and anticipate future trends. This level of insight is critical for crafting effective, personalized marketing strategies, shifting the focus from mere transactional interactions to building lasting, data-driven customer relationships. In a cookieless future, leveraging retail data is key to staying ahead in areas like product development and inventory management, ensuring that brands not only adapt but thrive in the new marketing landscape.

The strategic utilization of retail data is crucial, going beyond merely recognizing its value. This is supported by a national survey from The Trade Desk Intelligence, which shows 91% of U.S. advertisers plan to maintain or increase their investment in retail data, to drive overall business success.

Unlocking the Power of Retail Data: How Enhanced Insights Lead to Personalized Marketing Triumphs

In today’s marketing world, retail data is crucial for creating highly personalized campaigns that truly understand customer desires and behaviors. It involves deep analysis of various data points, from purchasing habits to browsing patterns, offering a comprehensive view of customer preferences and behaviors.

This depth of insight allows for more than just tailored marketing messages; it enables behavioral and interest targeting. Marketers can segment audiences based on their actions, such as frequent purchases of a particular product category or regular browsing of certain content. Similarly, interest targeting becomes more refined through analyzing data points like search queries, product views, and content interactions. This approach ensures that marketing efforts are not just personalized but also highly relevant to each customer’s unique interests and behaviors, leading to more effective campaigns and a stronger connection with the audience.

This approach results in marketing that feels more like a personalized conversation than a generic broadcast. This tailored strategy leads to higher engagement and conversion rates, as customers encounter content that aligns closely with their individual experiences and needs, striking a chord that transcends mere attention-grabbing. This marks a fundamental shift in how marketers connect with their audience, paving the way for campaigns that are deeply personal and rooted in a thorough understanding of customer behavior.

Forecasting the Future: How Enhanced Predictive Analytics Shape Strategic Marketing and Decision-Making

Armed with a wealth of data like historical purchases and customer interactions, marketers are not just looking at what’s happening now. The spotlight is now on retail data, especially when it comes to predictive analytics. They’re using this data to power models that predict what customers might want next. It gives marketers a peek into future consumer trends and behaviors based on solid, data-driven insights from the past.

Marketers build predictive models on the concrete foundation of past customer data to anticipate shifts in consumer preferences and market dynamics. It’s about staying one step ahead in the game. Whether it’s product development or inventory management, predictive analytics provide invaluable foresight. Marketers can now predict emerging customer needs, ensuring that new products hit the mark and inventory levels are just right – no more guessing games.

Personalized marketing, empowered by predictive analytics, revolutionizes marketing by tailoring efforts to future customer needs, enhancing relevance and engagement. This strategy not only improves marketing effectiveness but also bolsters customer loyalty and guides SEO content strategies to align with future trends. Essentially, leveraging predictive analytics with first-party data equips marketers to create more impactful, forward-looking marketing strategies.

Data-Driven Bonds: Transforming Retail Data into Lasting Customer Loyalty and Trust

Retail data is driving the creation of deeper, more impactful customer relationships. ‘Data-Driven Bonds’ represents a strategic revolution, where retail data is not just supportive but central to forging enduring loyalty and trust with customers.

At the heart of this strategy is enhancing customer experiences through the insights gathered from first-party data, ranging from purchase history to direct feedback. This approach is more than just habit tracking; it’s a deep understanding of individual customer preferences, thereby establishing a foundation of trust and strengthening brand loyalty.

The strategy goes beyond traditional, one-size-fits-all loyalty programs to personalized experiences aligned with each customer’s unique needs. This personalization elevates loyalty programs from transactional tools to key components of the customer journey, enhancing repeat business and fostering long-term loyalty.

Embracing the Future: Navigating the Cookieless Landscape with Retail Data

Retail data opens up a treasure trove of opportunities for deeper customer insights, personalized experiences, and predictive analytics. This shift is a strategic evolution, positioning brands to not just understand but also anticipate customer needs, forging stronger, trust-based connections.

In this new era of marketing, customer-centric strategies define the approach, with personalization and predictive insights actively driving engagement and loyalty. As we navigate this cookieless landscape, leveraging first-party data is not just about adapting. Marketers need to transform every customer interaction into deeper engagement and lasting loyalty. The future of marketing lies in creating not just transactions, but meaningful relationships powered by data-driven insights.

Using Integrated Media to Position Financial Services Company As Industry Thought Leader

Brief

Coegi’s financial services client wanted to use content marketing to establish themselves as a marketplace leader by growing brand presence alongside a competitive landscape and providing value to financial professionals and consumers through retirement planning content that educates, supports, and inspires action. 

To accomplish this, Coegi and the financial services firm strategized to establish a B2B2C content strategy focused on reaching both financial professionals and retirement-aged consumers through partnerships with well-known publications.

Highlights

17.8
Million Impressions


188,000
Clicks


110,000
Total Engagements

Challenge

The brand leverages a B2B2C model. While the majority of their objectives focus on targeting financial audiences, it is also important to increase brand awareness with consumers to aid in the sale of their products.

Their primary national advertising objectives are twofold:

  1. Brand Awareness – Increasing awareness of the corporate brand across consumer, financial professional, and prospective retail audiences. 
    • Extending their brand promise and messaging into the B2B space
  2. Thought Leadership – Establishing brand recognition and trust among financial professionals and consumers 

The brand had an opportunity to increase brand awareness with consumers. The data showed that unless they were already customers, consumers were less familiar with the brand. The consumers that did know the financial services firm believed their key differentiators were their ability to grow their investment and provide competitive fees. But there were bigger issues at hand:

  1. Consumers were still learning about annuities in general and, therefore, were difficult to convert into purchasers
  2. Financial professionals were not frequently recommending annuities, including the client’s

Solution

Partnering with the brand, we focused on the following key areas to help gain market share:

  • Helping change financial professionals’ perspectives about the value of annuities 
  • Positioning the brand as a trusted leader in the annuity space
  • Explaining how the brand’s solutions can provide value within a sound financial plan and, in turn, how it will help the financial professional grow their business

Based on the brand’s content calendar, the teams assembled a smart strategy to show Coegi would use content marketing partnerships and advertising to help raise their market share by slightly over 1%:

  1. In a traditional advertising driven industry, we would lean harder into digital channels to keep up with innovation, connect with users, and build a data-driven strategy that would differentiate them from competitors.
  2. We would focus these dollars to more cost efficient and effective channels that align to a digitally-minded consumer.
  3. We would work alongside established publishers to continue to build its digital presence and opportunity via a content strategy that would solidify their position as an industry thought leader.

Choosing digital content partnerships required an exercise of evaluating: audience, content quality, distribution, reach and value. This analysis pointed to these front runners: Kiplinger, Investment News, Bloomberg and Barron’s. The goal was to maximize reach with large publications (Barron’s & Bloomberg) while maximizing engagement with niche publications (Investment News & Kiplinger), authentically aligning the publisher’s editorial content with the brand’s subject matter experts. 

Results

Across four publishers and twelve pieces of content, the campaign generated a total of 17.8 million impressions, 188,000 clicks, and 110,000 total engagements from October – December 2022. Niche publications like Investment News and Kiplinger had the highest engagement rates, both publications reaching an average time on page of over 4:00, while larger publications like Bloomberg and Barron’s garnered the largest reach, with 10M and 15.4M unique views respectively. Consumers resonated with a more indirect approach to annuities by tying content to timely, relevant topics such as women and the recession, while financial professionals resonated with a more direct approach. Coegi extended content reach across platforms by layering programmatic and social campaigns, accounting for 28% of overall impressions.

The Kiplinger content piece “How to Get Retirement Income You Can Count on for Life” had the highest page views (24,516) and longest average time on page (4:39), indicating the importance of applying statistical research in a relevant, easy-to-digest format. Investment News podcasts garnered an average of over 1,000 downloads, on par with their engagement benchmark for Retirement Repair Shop, and “Demographics & the Coming Retirement Crisis” had the most downloads with a final count of 2,184, exceeding the benchmark by 118%. 

Bloomberg exceeded their contracted content impressions by 26%, and shorter, snackable content performed better on publications with high reach and numerous sponsored placements. The Wall Street Journal and Barron’s content “Psychology of Retirement Planning” program delivered 43,000 page views, exceeding the page view goal by almost 40%, while “Retirement Uncertainty” resonated with financial professionals and high net worth individuals, resulting in strong engagement as users spent 40% more time than average.

Key Takeaways

Through data-driven media and targeting recommendations, relevant content partnerships, and innovative thinking, this campaign was able to reach the target audiences in authentic environments by providing educational and informative content. This success was driven in part by tailoring content to different audiences and platforms, and applying statistical research in a relevant, easy-to-digest format. As the partnership between Coegi and the financial services brand continues, we will no doubt continue to see impressive results and strive to keep finding innovative solutions to enhance the traditional financial services advertising model.

Coegi Partners

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