Legal compliance and risk reduction

As consumers have grown more protective of their privacy, a host of laws and regulations aimed at supporting data privacy have been introduced, from the General Data Protection Regulation (GDPR) in the European Union to the Virginia Consumer Data Protection Act (VCDPA) and California Consumer Privacy Act (CCPA) in the United States.

These laws require businesses to adhere to specific guidelines for collecting, processing, and storing personal data. Non-compliance can result in significant financial penalties as well as reputational damage.

And, of course, implementing robust data protection procedures protects brands and consumers alike against the risk of data breaches, which can have dire consequences. Safeguarding personal data against cyber criminals and malicious access mitigates this risk.
 

Building trust with customers

Customers are increasingly cautious about sharing their data, and it’s easy to see why. From the minor irritation of being added to mailing lists involuntarily to major concerns over data breaches and identity theft, consumers rightly want to protect their details.

McKinsey research shows 87% of consumers won’t do business with a company if they’re concerned about its security practices. And 71% said they’d stop doing business with a company that gave away their data without permission. The same research found consumers are more likely to trust companies that don’t ask for information that isn’t relevant to the product and that don’t ask for too much personal information.

Enforcing your robust privacy and data protection measures is essential if you want to build trust with customers and encourage them to volunteer pertinent data.
 

Delivering value and personalization

Personalization and privacy can seem like a chicken-and-egg scenario—which comes first? Customers want value in exchange for their data, but marketers need data to deliver that value.

In 2023, Deloitte research found only half of consumers believe the value they get from online services outweighs their privacy concerns. That’s a nine percentage point drop from 2021.

Responsible data privacy practices help businesses gain trust and collect the data they need to deliver the personalized customer engagement that customers crave.

First-party data collection helps you build a more comprehensive picture of each customer, allowing you to deliver more relevant, personalized messaging. And it’s not just about collecting contact details to arrange delivery.

• Preference centers let users select their preferred communication channels and opt in

• Newsletter sign-up forms can capture information about customer interests

• Pop-up surveys can uncover customer pain points or preferences

Combined with transactional and behavioral data, you can send relevant, contextualized messages that you know your customers actually want (because they told you so).

8 ways to embrace data protection and privacy in your customer engagement strategy

Trust takes years to build but only seconds to lose. Why risk it?

The core ideas are simple. Don’t collect data that doesn’t support your business goals—and stop retaining it when it no longer serves a legitimate purpose. Protect the data well by anonymizing and encrypting it. And restrict access to approved personnel only.

Here are eight ways to make ethical data practice your marketing North Star.

1. Embed privacy into every process

Embrace privacy consciousness during the full marketing lifecycle, from initial campaign concepts to the implementation of data processes. For example, consider whether a campaign idea would involve collecting especially sensitive data, whether that is justified, and what additional privacy measures need to be put in place to protect it.

2. Collect minimum viable data

Make it your policy that you only collect data that is relevant and necessary for your specific marketing purposes; this is known as minimum viable data. Avoid collecting excess or irrelevant data and dispose of any data when it is no longer needed. Ask questions like:

• What type of data do we need to collect and why?

• How will we collect, maintain, secure, and dispose of that data?

• What systems will it be held in and how are they secured?

• Who will have access to the data and how can it be used?

• Do we have legitimate grounds to collect and retain that data?

3. Be crystal clear and obtain consent

There’s nothing worse than underhanded tricks for gaining consent to gather user data—like baffling opt-in small print or pre-filled opt-in options. Be transparent about the type of data you collect and why. Give people the option to explicitly opt-in or opt-out of data processing activities. And make it easy for people to update their preferences if they change their minds.

4. Highlight credentials and benefits

88% of people say their willingness to share personal data depends on the trust they have in the company in question. To encourage people to trust you with their data, highlight both your security credentials and the benefits they’ll get. Showcase trust and security certificates on your website and app, especially at the point of data collection, such as checkout or newsletter sign-up. And explain what they’ll get in exchange, such as discounts or curated recommendations.

5. Make data processes compliant

Ensure your data collection, storage, access, and disposal processes are compliant with the regulations in your jurisdiction. Remember, if you’re processing customer data from other countries, their home country’s regulations apply. For example, if you are a US company processing French customer data, you still must comply with the EU’s GDPR.

6. Secure data appropriately

Use appropriate tools and technology to secure and protect the data you collect. Ensure that sensitive information is encrypted at rest and in transit, implement anonymization techniques to protect individual identities, and enforce strict access controls. Read more about making security a mindset.

7. Pick your partners wisely

The technologies you use in your customer engagement efforts can have a significant positive (or negative) impact on the privacy and security of the customer data you hold. Thankfully, Braze blends advanced security and workflow capabilities with practical, user-friendly tools. This empowers marketers at every level to confidently craft campaigns that meet security, privacy, and compliance needs, ensuring the integrity of their work and fostering trust with every message on any channel. We achieve this through:

• SOC II and ISO 27001 compliance

• Penetration tests, bug bounty program, privacy legal team

Your team has to rise to the challenge of meeting the growing expectations of today’s consumers, and your tools should help you do this easily and quickly. As you grow, your partner should help you move faster and eliminate rework, make it simpler to connect with new communities, and proactively resolve potential issues before you go live.

8. Dispose of data when you’re done with it

People’s preferences may change and data loses its currency over time, so it’s important to dispose of data responsibly and within a reasonable timeframe.

• Establish data retention policies to determine how long you’ll retain personal data

• Contact users before deleting their data to ask if they’d like to update it or have it retained

• Dispose of data securely when it is no longer needed for its stated, legitimate purpose

These eight tips can help you build a more trusting relationship with customers, secure their data, and use it to deliver a better experience—which in turn builds engagement, loyalty, and value.

3 case studies of data protection and privacy-driven customer engagement

Data protection and privacy compliance are important in any business. But health and financial service providers face more regulation than most. Here’s inspiration from four businesses successfully collecting, protecting, and leveraging user data.

Sesame Care

• The company: An online marketplace matching patients with healthcare providers and low-cost medications.

• The challenge: Sesame Care was relying on expensive search engine marketing (SEM) to acquire customers. Many app users didn’t convert, but the brand only communicated with those that did. They wanted to introduce a cross-channel messaging strategy to engage and activate users, while protecting user privacy by using a HIPAA-compliant platform.

• The strategy: Implement Braze to improve compliant first-party data collection, and to test and optimize a cross-channel customer journey for the first time.

• The results: A 15X rise in last-click conversions, and email rising from the 10th to the third-largest contributor to the growth of their business.

• Read the full Sesame Care success story.

Virgin Red

• The company: The loyalty reward program from the Virgin family of businesses.

• The challenge: To simplify their tech stack and ensure their customer engagement platform is an efficient, data-driven engine for cross-channel personalization.

• The strategy: Deploy an all-in-one marketer-friendly data-driven platform that could trigger and send messages across all relevant channels, while protecting and respecting user privacy.

• The results: Streamlining from three tech tools to one and achieving 45% email open rate.

• Read the full Virgin Red success story.

MoneySuperMarket

• The company: Comparison site helping users save on insurance, loans, energy bills, and more.

• The challenge: Improving secure data flow between teams and platforms to power hyper-relevant, cross-channel experiences to every customer.

• The strategy: Connect their content recommendation engine and data warehousing systems to Braze to increase operational efficiency and power personalized communication at scale.

• The results: A 25% conversion rate and an increased send rate from 500 to 25,000 messages a minute.

• Read the full MoneySuperMarket success story.

5 tips for implementing Braze with data protection and privacy front of mind

Thinking of implementing Braze to create privacy-respecting, engagement-rocketing cross-channel campaigns? Here are five ways to make sure you embed privacy-by-design into your Braze implementation. You can read more in 5 Tips for a Secure, Effective Braze Implementation.

1. Control privacy in-team

Simply choosing to use Braze is a great first step to data privacy and protection. Braze makes it easier to protect privacy and personal data as a matter of course, while benefiting from advanced segmentation and analysis tools.
Compared to legacy competitors that offer complex privacy features that require IT involvement, Braze empowers marketers with intuitive tools so you can manage data security and privacy in-team.
This means you can easily create targeted, compliant, cross-channel journeys while keeping tight control of privacy practices.

2. Create unique IDs

Braze amalgamates customer data from all of their disparate sources and devices—like your website and app, their laptop and mobile—so you get a single, holistic view of each customer, wherever they engage with your brand.
Each profile has a unique ID based on your chosen format. To make sure your chosen ID format protects privacy and is less vulnerable to malicious actors:

• Don’t use an easily guessable identifier

• Don’t use email addresses or public user names

3. Secure your SDK

SDKs are the behind-the-scenes kit that makes data amalgamation and segmentation possible. With SDKs playing such a key role in customer engagement efforts, it’s essential they’re secure.
The Braze platform’s SDK authentication feature is like multi-factor authentication for your SDK, requiring proof that users are who they say they are. This stops malicious access using a stolen or hacked ID.
Stay up to date with the latest SDK versions too. These will include the latest security features in response to emerging risks, plus bug fixes and performance improvements.

4. Implement roles for access control

Braze features like Roles and Just-in-time Provisioning—which help streamline team access controls and permissions—can enhance marketers’ security while using improved security features to proactively manage and communicate potential issues. An example of this would be using structured user access controls to reduce unauthorized data access incidents. Such proactive measures not only ensure compliance but also fortify customer trust in your brand’s commitment to security.

5. Use a tag manager

Braze integrates with all the top tag managers including Google Tag Manager, Segment, mParticle, and more. One of the many benefits is that these integrate with the privacy and consent management tools mentioned above.
That makes it easy to deploy certain types of data collection only when a user consents, proving to customers that you recognize and respect their privacy preferences.
Braze is built for scalable, reliable, secure, and confident engagement—empowering you to build brand equity with every interaction. Braze empowers marketers to navigate the engagement landscape with confidence, ensuring that their efforts to engage customers are supported by a platform that's robust not just at peak times but any day of the week.

1. Scale that doesn’t fail

Unlock the full potential of your global marketing efforts with a suite of tools designed to tailor content across languages and segments while providing deep insights into audience engagement.
With Braze, you can employ Multi-Language Composition to adapt a campaign for multiple regions, using Braze Cloud Data Ingestion (CDI) to leverage highly nuanced segments created in your data warehouse to target specific demographics and optimize for the most engaged audience members.

2. Rely on Braze with every interaction

Across all of our products and customers, the Braze platform supports steady engagement with 99.99% (CY23) average system-wide uptime.

3. Built for security

Safeguard your customer data and engagements with advanced security measures and refined user management capabilities. With industry-leading user access controls, brands can maintain a secure, trustworthy environment for distributed teams or Centers of Excellence, decentralized models, and their customers—all at the same time.
This can look like implementing Roles to streamline team access controls and permissions, while using improved security features to proactively manage and communicate potential issues, reinforcing the trust your audience has in your brand. Or you can set up CDI connectivity and CDI segments to securely use “zero-copy data.”.

4. The right message, every time

Feel confident in your marketing team’s experience with features designed to ensure every campaign is crafted with precision. Braze invests into features that define the forefront of reliable user exp it experiences, underscoring our commitment to being the right customer engagement platform for your needs.
With new tools like Preview User Paths and Campaign Save as Draft, you can meticulously plan and test a multi-stage campaign, allowing for adjustments and team input at every step. We’ve also launched Canvas Zoom and Canvas Comments to further aid in overseeing the campaign's broad strategy and details, ensuring alignment and cohesion.

Final thoughts

Customer data collection and management is an important responsibility for marketers. However, when done correctly and compliantly, it can power impactful, personalized customer engagement.
With the imminent withdrawal of third-party cookies and tightening data protection regulations emerging worldwide, marketers need to know how to collect, protect, and leverage customer data effectively.
Transparency, integrity, and security are the watchwords for a successful data-based marketing strategy—combining minimum data collection with respect for customers’ privacy preferences.
Building trust with customers through clear data practices and by offering value in return for their personal information is also essential.
 

Data protection and privacy FAQs

How does data privacy compliance impact marketing strategies and campaigns?

Regulations like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States require businesses to, among other obligations:

• Obtain explicit consent from individuals before collecting their data

• Provide clear information about data usage

• Ensure the security of stored data

This impacts marketing efforts as it limits how businesses gather and use customer information —and can impact campaign design, data collected, ability to target and personalize communication, and more. Plus, data privacy concerns can affect consumer behavior and trust in a brand.

What measures should marketers take to reduce data privacy risks?

• Obtaining explicit consent from individuals before collecting their data is crucial, as well as providing clear consent mechanisms that explain how the data will be used

• Making the benefits of data consent clear to customers to encourage them to provide personal information, like receiving curated content and offers

• Implementing a minimum viable data policy, meaning only collecting necessary and relevant personal information

• Anonymizing personal information whenever possible to reduce the risk in the event of data breaches and unauthorized access

• Implementing robust data security measures, such as encryption and access controls, to safeguard sensitive information

How can brands maintain customer trust amidst growing concerns about data privacy?

Transparency and trust go hand in hand. Companies need to:

• Be clear and honest about their data practices

• Provide transparent opt-in/opt-out options that show respect for customers’ privacy preferences

• Demonstrate their security credentials through external accreditation and certification

• Engage with customers to address any data concerns

What are the risks of non-compliance with data protection regulations for our marketing campaigns?

Non-compliance with data protection regulations can result in:

• Significant fines

• Damage to brand reputation

• Loss of public trust and customers

• Lawsuits from individuals or regulators

How can brands leverage data protection as a competitive advantage in marketing?

Brands can use data protection to differentiate themselves from competitors by:

• Highlighting their strong commitment to data privacy and security

• Genuinely respecting customer data privacy preferences

• Offering true value in exchange for customers’ data

By building trust and rewarding customers for volunteering data, businesses can attract and retain customers who prioritize privacy and securit

Financial institutions (FIs) sit on some of the richest customer data in any industry, including spending patterns, credit behavior, account relationships, life-stage signals. Yet 66% of banks cite insufficient customer insights as a core barrier to effective personalization and conversion, due to fragmented data across product lines and protected-class regulations that create real constraints on how quickly and compliantly it can be put to work.

Here at Capgemini, we talk to FIs every day, and there’s a clear pattern of challenges they face: fragmented data, compliance friction, and mounting pressure from digital-first challengers like neobanks and fintechs. The competitive gap is widening fast.

This is exactly what a composable customer data platform (CDP) is built to solve, and why we’re teaming up with our friends at Hightouch for this blog series to share our insights.

Over the coming posts, we'll explore the architecture decisions, compliance considerations, common use cases, and emerging patterns separating industry-leading FIs from the rest.

But everything starts with the CDP layer, which is what we’ll cover below: why traditional CDPs fall short for financial services, what shifted with the rise of cloud data warehouses, how a composable CDP works, and why it's purpose-built for the unique data complexity FIs face.
 

Why traditional CDPs fell short for financial services

CDPs emerged around 2015 to solve a real problem: customer data scattered across dozens of systems, with marketing teams lacking a unified view to run effective campaigns. The traditional model worked by copying all your data into the vendor's cloud environment, then giving marketers tools to build audiences and activate campaigns from there.

For financial services, this model creates compounding problems:

Data duplication is a compliance liability. Traditional CDPs are built on duplicative storage—your infrastructure and theirs. For regulated industries operating under strict data governance policies and permitted data compliance, duplicating sensitive customer data into a third-party environment is simply not an option.

They only see a sliver of your data. These platforms were built to ingest "user" and "event" data: web clicks, email opens, app sessions. Financial institutions have far richer data—account hierarchies, transaction categorizations, risk scores, loan applications, advisor-client relationships. Traditional CDPs struggle to model this complexity, and integrating it requires expensive custom engineering.

Implementation takes too long and often fails. Traditional CDPs typically require 6–12 months to stand up, and more than 60% of implementations fail to deliver promised value. By the time the platform is live, the marketing strategy may have already changed.

Compliance creates a speed bottleneck. Every new audience segment requires a data request, a compliance review, and a waiting period. Protected-class data restrictions need careful filtering that traditional CDPs provide limited native tooling to enforce. The result: marketing can't move at market speed.

How cloud data warehouses disrupted legacy CDPs

While CDPs were growing, so was something more foundational: cloud data warehouses. Platforms like Snowflake, Databricks, and BigQuery gave data teams a single, governed source of truth for all customer data—not just behavioral events, but everything across every system and division.

Within a few years, the warehouse became the center of gravity for enterprise data. But it created a new tension: marketing's CDP-based view of the customer was increasingly incomplete and misaligned with the richer truth living in the warehouse.

So, what was the data source of truth?

Traditional CDPs were actionable but inaccurate. The warehouse was accurate but inaccessible to marketers.

That gap gave rise to the composable CDP.

What is a composable CDP?

A composable CDP works within your existing data infrastructure rather than alongside it. Instead of copying your data into a vendor's platform, it reads directly from your data warehouse like Snowflake, Databricks, BigQuery, or others, and activates audiences from there to downstream marketing and advertising channels.

The defining characteristic is zero-copy architecture: your data never leaves your environment. There is no duplicate copy, no secondary data store, no secondary vendor holding your customers' sensitive information.

Four defining traits make a CDP truly composable:

• Warehouse-native: Your data warehouse is the source of truth. The CDP is an activation layer on top of it, not a competing store.

• Schema-agnostic: Works with your data model — account hierarchies, product relationships, household structures — not a rigid vendor schema.

• Modular: Capabilities like audience building, journey orchestration, AI decisioning, and identity resolution can be adopted incrementally and swapped as needs evolve.

• Governed by design: Access controls, consent rules, and compliance filters configured by your data team are inherited automatically—before any marketer touches an audience.

Why composability is ideal for financial services

Composable CDPs, like Hightouch, operate natively within your data warehouse, activating complete customer profiles without ever moving or duplicating data. Every audience build, every campaign, every activation happens where your secure data already lives, keeping you compliant.

Centering your CDP on your data warehouse creates several critical advantages for financial services organizations specifically.

• Security and compliance without tradeoffs. Because a composable CDP never stores your data, there is no duplicate copy of sensitive customer information in a third-party environment. Your data stays behind your existing security perimeter, subject to your existing certifications. This architectural choice dramatically simplifies your marketing stack's compliance posture.

• Governance and self-service workflows. Protected-class restrictions, consent filters, suppression lists, and role-based access controls can be enforced at the data layer—automatically, before any marketer builds a segment. The result: marketing teams can move autonomously because the guardrails are already built in. Compliance teams get the controls they need. Marketing gets the speed they've always wanted. A win-win scenario.

• Access to your complete data. A composable CDP can leverage any entity, attribute, or relationship in your warehouse: transaction behaviors, product holdings, risk scores, and credit attributes where permitted. This is the difference between surface-level segmentation and genuinely sophisticated real-time personalization using all of your data.

• Native AI and ML activation. Financial services data teams invest heavily in their own proprietary ML models—propensity scores, churn predictions, product recommendations, or lifetime value estimates. In a traditional CDP, those outputs are stranded in the warehouse while the CDP operates on a separate, shallower data set. With a composable CDP, marketers can build audiences directly from propensity scores and trigger campaigns from AI-identified next-best actions, with no additional engineering required.

What to look for when evaluating options

A few things to verify as you evaluate—not all "composable" platforms are built the same way:

• True zero-copy: Does the vendor actually never store your data, or do they maintain secondary data stores?

• Compliance certifications: SOC 2 Type II, HIPAA, ISO 27001, GDPR, CCPA compliance across the full platform.

• Governance depth: Role-based access, protected-class filters, approval workflows, audit logs, destination-level permission controls.

• Schema flexibility: Can it work with your actual data model, including non-user entities like accounts and households?

• Warehouse compatibility: Native, certified integration with your warehouse — Snowflake, Databricks, BigQuery — without custom engineering.

• Time to value: Production use cases in weeks, not quarters.

The reason Hightouch has become an industry leader in composable CDP is that it meets all of these criteria. And it has done so for leading financial services companies ranging from global credit card issuers and digital banks to fintechs and investment platforms because it was designed around these requirements from day one.

Closing thoughts

Financial services companies already have the data to deliver world-class customer experiences. Composable CDPs are what make that data actionable — without creating compliance risk, rebuilding what you already have, or choosing between marketing speed and governance.

The institutions that win the next decade of financial services will be the ones that figure out how to move fast with data while maintaining the trust their customers expect. The architecture to do both already exists.

In our next post, we'll go deeper on why unifying customer profiles directly in your data warehouse, using all of your data is the key to creating true Customer 360 profiles that can power any use case across your business.

1. Skewed scores create a false sense of customer experience.

2. Overrated successes lead to problematic marketing efforts.

3. Innovation becomes non-existent.

4. Inflated ratings encourage anti-competition

Key takeaways

• Traditional fraud detection methods are no longer sufficient against today's organized criminals, requiring finance leaders to shift from reactive responses to a proactive defense strategy.
• Modern payment fraud prevention requires an integrated approach that combines AI-assisted anomaly detection, centralized payment hubs and strict validation protocols to stop attacks before they happen.
• By treating fraud prevention as a strategic enabler rather than a compliance task, organizations can build the operational integrity needed to thrive in a complex financial landscape.

The reality of payment fraud has shifted from a question of whether an attack will occur to a growing likelihood of when and how it will occur.

For finance and treasury leaders, the strategies that provided a sense of security a few years ago may be insufficient against a new breed of sophisticated and relentless criminals. A 2024 survey from the Association for Financial Professionals underscored this reality, revealing that a staggering 79% of organizations were victims of payment fraud attacks or attempts.

This is not a distant risk: It’s an active, daily threat that demands a fundamental change in an institution’s defensive posture. The traditional, reactive approach – detecting and responding to fraud after it occurs – is, in many cases, no longer a viable strategy. The time has come to build a proactive defense.

How are fraudsters becoming more sophisticated?

Today’s fraudsters are often not lone actors but organized, well-funded operations that use advanced technology and psychological tactics. They study organizational structures, identify process gaps and exploit the path of least resistance.

Business email compromise remains a dominant method, where criminals impersonate executives or vendors with alarming authenticity to redirect funds. We’re also seeing the rise of AI-powered deep fakes, where a trusted voice on a conference call can be convincingly spoofed to authorize a fraudulent transfer.

These criminals understand that the entire payment lifecycle, from the initial onboarding of a vendor to the final reconciliation, presents a landscape of opportunity. They target the seams in your processes, exploiting the very human desire for efficiency and speed. This "disharmony," a term coined by a FIS® and Oxford Economics study, captures the friction between the drive for growth and the drag of persistent security threats.
 

Why is proactive fraud prevention critical for payment security?

How can organizations overcome the evolving threat of fraud? The answer lies in shifting from a fragmented, manual and reactive stance to an integrated, automated and proactive one.

A truly effective defense begins by fortifying the most common entry points. The vendor master file, for instance, is the heart of the payables process and a prime target. A single fraudulent change to a supplier’s bank details can lead to catastrophic losses before anyone realizes an error has occurred.

Overcoming this type of threat typically requires more than just diligence: It often demands a standardized, technology-enforced process. It includes implementing out-of-band verification, such as a phone call to a preverified contact, for any change to payment instructions. It means moving beyond trust and implementing strict, automated validation protocols.
 

What role does technology play in proactive fraud defense?

As transaction volumes grow, manual reviews can become an impossible bottleneck, creating the very noise that criminals use to hide their illicit activities. This is where modern solutions like AI-assisted anomaly detection become increasingly indispensable.

Unlike static, rule-based systems that can only catch what they are programmed to look for, AI and machine learning establish a baseline of "normal" payment behavior for each vendor and transaction type. These systems operate in real time, analyzing payments for subtle deviations in amount, frequency or timing that would be difficult for the human eye to detect. When an anomaly is detected, the payment is automatically flagged for investigation before it leaves the organization. This preemptive capability is a game changer.
 

How does centralizing payments improve control?

Organizations can achieve a greater level of control by consolidating their payment flows through a centralized payment hub. Instead of managing disparate security protocols across multiple ERPs and bank portals, a payment hub provides a more unified point of visibility and control.

A payment hub enables the consistent application of security policies, approval workflows and fraud detection analytics across the entire enterprise. It standardizes an institution’s defense, creating a fortress rather than a series of disconnected fences. A payment hub integrated with a third-party account validation service provides another critical layer, confirming that a beneficiary’s name matches their account information before a payment is ever initiated.
 

What does a future-ready fraud defense look like?

The path forward for finance and treasury leaders requires a strategic pivot. It means recognizing that fraud prevention is not merely a compliance checkbox but a strategic enabler of business resilience and growth.

Building a proactive defense involves a holistic approach that integrates advanced technology, standardized processes and a culture of vigilant verification. By embracing AI-driven monitoring, centralizing payment operations and empowering employees with specialized training, you can transform your security posture from reactive to preemptive.

This shift does not just mitigate risk: It builds the confidence and operational integrity necessary to thrive in a complex financial world.

Omnichannel Retail Solutions

Omnichannel retail solutions are strategies that connect ecommerce, physical stores, and marketing channels to create a unified customer experience.

• Connect ecommerce and physical store experiences

• Use unified customer data for personalization

• Coordinate marketing across email, direct mail, and mobile messaging

• Align campaigns to the customer lifecycle

• Improve engagement, retention, and lifetime value

What Are Omnichannel Retail Solutions

Omnichannel retail solutions are strategies and systems that connect customer experiences across ecommerce, physical stores, and marketing channels. The goal is to create a seamless experience where each interaction builds on the last, regardless of where it happens.

Unlike disconnected retail marketing efforts, omnichannel solutions ensure that customer data, messaging, and timing are aligned across every touchpoint.

Omnichannel retail solutions include:

• Unified customer data across online and in-store systems

• Coordinate marketing across email, direct mail, and mobile messaging

• Consistent messaging across ecommerce and physical locations

• Lifecycle-based campaigns tied to customer behavior

• Personalization across all channels

This approach allows brands to move from isolated interactions to a more connected customer experience across channels.
 

Why Do Omnichannel Retail Solutions Matter?

Retail customers do not think in channels. They move between online and in-store experiences seamlessly. The challenge is that many brands still operate in silos.

Omnichannel retail solutions solve this by connecting the full customer experience.

When implemented effectively, they help brands:

• Improve the customer experience across touchpoints

• Increase customer engagement and retention

• Create more relevant, personalized interactions

• Drive higher lifetime value

The reality is this: disconnected retail experiences create friction. Customers receive inconsistent messaging, redundant offers, or irrelevant communications.

A connected approach removes that friction and creates a more consistent experience across how customers shop and engage.
 

How Do Omnichannel Retail Solutions Work?

Omnichannel retail solutions work by aligning three core components: data, messaging, and execution.

1. Unified Customer Data

The foundation of any omnichannel retail strategy is unified customer data.

This means connecting:

• Ecommerce behavior

• In-store purchases

• Loyalty program activity

• Engagement across email, direct mail, and mobile messaging

With a single view of the customer, brands can better understand behavior and deliver more relevant experiences.

Learn more about how Baesman supports this through customer data and engagement strategy

2. Coordinated Marketing Across Channels

Once data is connected, marketing execution must follow.

This includes aligning:

• Email campaigns

• Direct mail outreach

• Mobile messaging

Each channel should play a defined role in how customers engage—not operate independently.

3. Lifecycle-Based Execution

Omnichannel retail solutions are most effective when campaigns are tied to key moments in the customer relationship.

Examples include:

• Welcome campaigns after first purchase

• Post-purchase follow-ups

• Replenishment reminders

• Reactivation campaigns

This ensures that messaging is not only coordinated—but also timely and relevant.

What Does an Omnichannel Retail Experience Look Like?

An omnichannel retail experience connects interactions across channels into a single, continuous journey.

For example, a customer might:

• Browse products online

• Visit a physical store to make a purchase

• Receive a follow-up email with related products

• Get a direct mail offer reinforcing future purchases

• Receive a mobile message reminder tied to a promotion

Each touchpoint builds on the previous one. The experience feels consistent and connected.

This is the difference between coordinated retail marketing and disconnected campaigns. Instead of isolated messages, customers experience a unified and consistent experience across channels.
 

What Are Common Challenges in Omnichannel Retail?

The biggest challenge in omnichannel retail is not access to channels. It is integration.

Many brands struggle with:

• Siloed customer data
  Data lives in separate systems across ecommerce, stores, and marketing platforms

• Disconnected campaign execution
  Teams operate independently, leading to inconsistent messaging

• Lack of lifecycle alignment
  Campaigns are not tied to customer behavior or where customers are in their relationship with the brand

• Inconsistent customer experience
  Messaging and offers vary across channels

The truth is, omnichannel success requires both strategy and execution. Without alignment across data, messaging, and operations, even the best strategies fall short.

What Is an Example of Omnichannel Retail in Practice?

A strong example of omnichannel retail solutions in practice comes from Baesman’s work with Stanley Steemer: In this case, the focus was on connecting customer data and marketing execution across channels to improve engagement and campaign performance.

The approach included:

• Leveraging customer data to drive segmentation and targeting

• Coordinating messaging across email, direct mail, and mobile messaging

• Aligning campaigns to customer lifecycle stages

• Creating a more consistent experience across touchpoints

Instead of running disconnected campaigns, Stanley Steemer implemented a more integrated approach—resulting in improved response rates and stronger customer engagement.

This illustrates a key point: omnichannel retail solutions are not about adding more channels. They are about connecting them.

Where Does Baesman Fit in Omnichannel Retail Solutions?

The challenge for most brands is not understanding omnichannel strategy—it is executing it.

At Baesman, this approach is foundational:

• Connecting customer data across systems

• Designing loyalty and lifecycle marketing strategies

• Executing campaigns across email, direct mail, and mobile messaging

• Supporting retail marketing across both ecommerce and physical environments

Explore Baesman’s retail marketing capabilities
 

This integrated approach reduces fragmentation and improves consistency, speed, and performance across campaigns.
 

What Makes an Omnichannel Retail Strategy Effective?

An effective omnichannel retail strategy is built on alignment between data, messaging, and execution.

Key elements include:

• A unified view of the customer across channels

• Consistent messaging across ecommerce and in-store experiences

• Lifecycle-based campaign timing

• Clear roles for each marketing channel

The biggest mistake is treating omnichannel as a technology problem. It is a coordination problem.

Brands that succeed focus on integration, not just tools.
 

FAQ: Omnichannel Retail Solutions

What are omnichannel retail solutions?

Omnichannel retail solutions are strategies and systems that connect ecommerce, physical stores, and marketing channels to create a unified customer experience.

How are omnichannel and multichannel retail different?

Multichannel retail uses multiple channels independently, while omnichannel retail connects them. The difference is integration—omnichannel strategies create a seamless experience across touchpoints.

Why are omnichannel retail solutions important?

They improve customer experience, engagement, and retention by creating consistent and relevant interactions across channels.

What channels are included in omnichannel retail?

Common channels include ecommerce, physical stores, email, direct mail, and mobile messaging. The focus is on how these channels work together.

How do you improve omnichannel retail performance?

Improving performance requires connecting customer data, aligning campaigns across channels, and delivering personalized, lifecycle-based experiences.

Final Takeaway

Omnichannel retail solutions are not about adding more channels. They are about creating connection across them.

When ecommerce, physical stores, and marketing channels are aligned through shared data and coordinated execution, brands can deliver more consistent experiences, improve customer engagement, and drive long-term growth.

It's a question more companies are asking than you'd think. The loyalty program market is bigger than ever, yet many programs quietly underperform, delivering low redemption rates, declining engagement, and little measurable impact on repeat purchases. The problem usually isn't effort. It's design.

Here are seven of the most common reasons customer loyalty programs fail to drive repeat business, and what you can do about each one.

1. Your Rewards Aren't Worth the Wait
If customers have to accumulate points for months before they can redeem anything meaningful, they'll lose interest long before they get there. Long earn cycles kill momentum and make the program feel more like a chore than a benefit.

The fix: Build in early win moments. Offer a welcome reward, a birthday perk, or a low-threshold redemption option that gives customers a reason to engage before they've fully ‘earned it. The sooner they experience value, the more invested they become.

2. The Rewards Don't Reflect What Your Customers Actually Want
A catalog full of branded merchandise or generic gift cards might look impressive on paper, but if the options don't resonate with your specific audience, redemption rates will tell the real story.

The fix: Use redemption data, not assumptions, to shape your catalog. What are your customers actually choosing? What sits unclaimed? If you're operating across multiple countries, remember that reward preferences vary significantly by region. What wins in one country may fall flat in another.

3. You're Rewarding Purchases, But Nothing Else
Loyalty programs that only reward transactional behavior are leaving engagement on the table. Customers are interacting with your brand in all kinds of ways: writing reviews, referring friends, engaging on social media, and getting nothing for it.

The fix: Broaden how customers can earn. Reward engagement behaviors, not just purchases. This creates more touchpoints, keeps your program top of mind, and signals to customers that you value the relationship beyond the transaction.

4. The Program Experience Is Clunky
A loyalty program is only as good as the experience of using it. If your members can't easily check their balance, understand how to redeem, or navigate the rewards catalog without frustration, they'll disengage. And they probably won't tell you why.

The fix: Audit the member experience end-to-end. Is it easy to join? Easy to track progress? Easy to redeem? Every unnecessary click or confusing step is friction that chips away at participation. Mobile-first, intuitive design isn't optional anymore.

5. You're Not Communicating Enough (or the Right Way)
Out of sight, out of mind. Many loyalty programs underinvest in ongoing communication, assuming customers will remember to engage on their own. They won't.

The fix: Build a communication cadence that keeps your program relevant. Points balance reminders, personalized reward suggestions, monthly promotions, expiry warnings, and milestone celebrations are all low-lift touchpoints that drive action. The goal is to make your program feel like a living part of the relationship, not a dormant account they signed up for once.

6. There's No Emotional Connection
The most effective loyalty programs don't just offer transactional value. They make customers feel seen and appreciated. If your program feels like a points-for-discounts machine, it's competing on economics alone. That's a race to the bottom.

The fix: Layer in recognition. Enable richer member profiles. Acknowledge milestones. Celebrate anniversaries. Personalize the experience where you can. Customers who feel genuinely valued are far more likely to stay loyal, and far less likely to be swayed by a competitor's promotion.

7. You're Not Measuring What Actually Matters
Many programs track participation and redemption rates, but stop short of connecting those metrics to the outcomes that matter most: repeat purchase rate, customer lifetime value, and churn. Without that link, it's hard to know what's working, and harder to justify investment.

The fix: Define what loyalty success looks like for your business before you optimize for it. Tie program KPIs to commercial outcomes. Regularly review what the data is telling you, and be willing to evolve the program based on what you find.

Small Fixes, Big Return
A loyalty program that doesn't drive repeat business isn't a loyalty program. It's a cost center. The good news is that most of these issues are fixable with the right platform, the right rewards, and a sharper focus on the member experience.

See It in Action
Want to see what a high-performing loyalty program actually looks like? Explore our case studies to see how leading brands are driving real repeat business with CarltonOne.