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.

5 Ways to Maximize Programmatic Dollars Amidst Economic Uncertainty

As economic uncertainty looms, marketing dollars matter now more than ever. However, this challenge presents an opportunity for brands to re-evaluate their programmatic marketing strategy and discover innovative approaches to maximize media investment. While it’s critical to continue on with proven marketing strategies that consistently deliver against business goals, refinement and experimentation is the name of the game within the programmatic ecosystem to position the brand for success and drive growth well beyond the downturn. 

Here are five tips to ensure your investment in programmatic channels is efficiently driving brand goals and positive ROI:

#1 – Prioritize high-value audiences

Advertising to a broad and undefined audience often results in reaching users who are unlikely to convert. An important first step of media planning is gaining a deep understanding of the audience you are trying to reach and what motivates them. 

  • Conduct Audience Analysis: Utilize data-driven research tools, analyze existing customer data, and review past campaign performance. This approach helps identify users demonstrating interest and intent, setting the stage for a highly targeted audience strategy. 
  • Focus on Likely Converters: Prioritize your programmatic media spend toward audiences with a high propensity to convert. This strategy reduces ad waste and ensures your media budget is invested in segments most likely to generate significant impact.
  • Balance Your Retargeting Efforts: While retargeting can yield strong results, it’s crucial to balance your investment in this area. Over-relying on retargeting can lead to spending unnecessarily on users who would likely have converted anyway, and will be a recipe for disaster with third-party cookie deprecation. Diversify your approach to capture new potential customers without neglecting those close to conversion.

#2 – Eliminate inventory inefficiencies 

One of the benefits of activating programmatically is accessing inventory across the entire open web, enabling efficient reach and scale. However, not all inventory is created equal and investing in poor quality placements may inhibit ROI goals. Platform algorithms use ad engagement metrics, such as clicks or video completions, to assess the quality of an inventory source. However, it lacks human logic by not considering the user’s intention with the engagement, such as accidentally clicking on an ad. Therefore, it’s critical to incorporate supply path optimization (SPO) into your media approach to have a granular understanding of where your ad dollars are being spent and how it contributes to the overall campaign’s success. SPO analysis highlights which inventory sources drive the most efficient conversions, informing optimizations of media spend toward the most valuable placements. This translates into a campaign that uses each ad dollar effectively to maximize ROI.

#3 – Leverage AI for operational efficiencies

In times of economic uncertainty, every resource counts. To maximize the impact of your media investments, AI can augment your team’s capabilities and streamline operations enabling you to do more with less. AI-powered solutions, like dynamic creative optimization (DCO), reduces the human hours needed to manually develop and assign each creative since DCO automatically generates and assigns the most effective creative variation in real-time. Delivering highly personalized and performance-driven creative can improve engagement and messaging resonance for each individual user, leading to overall stronger media results.

It’s critical to roll out AI to your teams with a focus on responsible usage and governance. The upfront investment of AI training and policy development will set your team up for success. 

#4 – Optimize user frequency 

Frequency metrics tend to be overlooked due to focusing on metrics that ladder up to business goals, like ROI. However, it’s important to actively monitor frequency to ensure media spend is not resulting in wasted impressions. Oversaturating users with brand messaging can lead to ad fatigue or a poor user experience potentially creating negative brand associations. High user frequency can also indicate media dollars are being spent on reaching users who have already performed the desired action.

Utilize frequency as an optimization lever to ensure your media dollars are efficiently invested in creating valuable brand engagement and driving results. Every brand’s customer journey is unique, so there’s not a one-size-fits-all approach to optimal frequency. Consider the steps and length of the audience’s journey to set realistic goals. Then, continually monitor the frequency compared to performance and utilize conversion path analysis to hone in on the optimal level of brand interaction with your audience. 

#5 – Embrace omnichannel strategies

Users interact with brands across multiple touchpoints throughout their journey, including traditional and digital channels. To maximize the impact of your media investment, develop an omnichannel approach tailored to your audience that provides a holistic and streamlined brand experience. 

  • Research Your Audience’s Behaviors: Assess which channels highly index with your audience’s behaviors and preferences to align media with how users consume content. 
  • Optimize Channel Mix: Strategically select the channels that ladder up to the overall marketing and brand goals. For example, if your audience has an affinity for video and the goal is to increase brand awareness, leveraging a high reach channel, such as Connected TV (CTV), is an efficient way to capture attention. 
  • Develop an Integrated Strategy: Once the optimal channel mix has been identified, create a strategy that maximizes the strengths of each channel to amplify a consistent brand message.

As marketing leaders navigate economic challenges, leaning into innovative and data-driven approaches will ensure every media dollar invested efficiently contributes to brand and marketing goals. Through continuous campaign optimizations aimed at reducing impression waste to prioritize investment on the audiences that matter most, brands will be well positioned for continued growth.

The Green Influence: How Social Media Stars are Steering Sustainable Commerce

Sustainable commerce has grown to include more than just eco-friendly products on store shelves in the digital commerce world. It’s about creating a movement – a lifestyle that reduces environmental impact and promotes ethical practices, focusing on changing consumer habits and business models for a healthier planet. 

A significant force behind this movement? Social media influencers. Influencers have emerged as pivotal figures steering the movement towards a more sustainable world, leveraging their significant sway over public opinion and consumer behavior. 

Critics initially accused influencer marketing of promoting over-consumption during the 2010s, yet a notable shift has quickly followed. Brands and influencers are increasingly using their platform and follower relationships to promote eco-friendly commerce practices, proving themselves to be essential allies in the quest for environmental sustainability.

The Responsibility of Influencers in Promoting Sustainability

With 46% of consumers demanding brands to lead in sustainability efforts, there’s a clear call for brand accountability in environmental initiatives. But how can influencers help a brand succeed in reshaping their marketing efforts?

  • Visibility and Awareness: Influencers are a secret weapon in sustainability marketing, driving personalized awareness that goes beyond the impressions of traditional advertising. By showcasing sustainable lifestyle choices, influencers not only promote products but also inspire a shift in consumer behavior towards more environmentally responsible actions.
  • Authenticity and Trust: Consumers are more likely to trust and emulate the green practices of influencers they follow, especially when those influencers share their authentic experiences and the tangible benefits of their eco-friendly choices. This trust fosters a deeper connection between consumers and sustainable brands, bridging the gap between awareness and action.
  • Engagement and Community Building: Influencers excel in creating communities centered around shared interests and values. Their platforms become forums for discussing sustainability, exchanging tips, and encouraging eco-friendly practices. Shopify highlights how influencers can really connect with their audience, turning casual watchers into engaged supporters of the eco-friendly movement.

Navigating Challenges and Shaping the Future of Sustainable Commerce

Addressing the challenges in sustainable commerce and influencer marketing requires a multifaceted approach, requiring a shared responsibility from both consumers and the brands themselves:

  • Combat Greenwashing: Brands should ensure all claims are backed by credible certifications and clear, accessible evidence of their sustainability efforts. Transparency in marketing and product labeling will help build consumer trust.
  • Bridge the Digital Divide: Increase accessibility by offering diverse, inclusive content and solutions that cater to various demographics and technological access levels. This could involve optimizing content for low-bandwidth environments or leveraging different platforms to reach a broader audience.
  • Maintain Authenticity: Brands should prioritize partnerships with influencers that align with their values and are passionate about sustainability. Brands and influencers alike should maintain transparency regarding their sponsored content and openly share the criteria guiding their partnership selections.
  • Educate and Engage: Both brands and influencers can play a role in educating consumers about sustainability. This includes sharing information on the importance of sustainable practices and how individual choices can make a difference.

The role of marketers in harnessing the power of social media influencers for promoting sustainable commerce is more vital than ever. As consumers increasingly prioritize ethical and environmentally-friendly practices, marketers have the opportunity to steer their brands towards greater sustainability. By supporting and amplifying their message, we can all be part of the solution, driving forward the movement for a more sustainable and ethical world. This approach not only meets consumer demand but also builds lasting brand loyalty and trust. Dive deeper into the world of ethical marketing by exploring our white paper on Simple Strategies for Sustainable Marketing. Download now and take a step towards driving the movement for a more ethical and sustainable world.

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.

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