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Many Salesforce Data Cloud implementations struggle with identity resolution and unclear ROI. Unified data alone isn’t enough. Mavlers helps businesses implement Data Cloud with clean identity mapping and use cases tied directly to personalization, analytics, and outcomes.
SFMC clients
In-house SFMC talent
SFMC talent deployed
Years of SFMC experience
Your data lives everywhere - CRM, web, mobile, ads, offline - but doesn't talk to each other.
Matching customers across devices, channels, and platforms isn't straightforward.
Data gets unified, but teams don't know how to use it in Marketing Cloud, Sales, or Service.
Poor architecture decisions impact real-time processing and downstream systems.
Data Cloud is not plug and play; it requires deep Salesforce and data engineering knowledge.
Define the right Data Cloud strategy by aligning business goals, data readiness, and activation use cases from the start.
What you get
Business goals and use-case discovery
Review of CRM, MAP, and data ecosystem
Data Cloud fitment and readiness assessment
High-level architecture and rollout guidance
Implement Salesforce Data Cloud with clean data models, strong identity resolution, and activation-ready setups.
What you get
Data ingestion and modeling
Identity resolution and unified profile setup
Calculated insights and segmentation
Activation across Salesforce clouds
Enable teams to confidently use Data Cloud through role-based training and practical, hands-on guidance.
What you get
Platform navigation and core concepts
Training on segmentation and insights
Best practices for ongoing usage
Adoption and change enablement support
Evaluate existing Data Cloud environments to identify data quality issues, performance gaps, and improvement opportunities.
What you get
Review of data models and identity rules
Data quality and performance assessment
Identification of risks and inefficiencies
Actionable optimization recommendationss
Ensure secure, clean data movement into Data Cloud and seamless connectivity across systems.
What you get
Secure data migration and transformation
Mapping to the Data Cloud data model
Integrations with Salesforce and third-party systems
Data validation and testing
Keep your Data Cloud environment stable, optimized, and ready to support evolving business needs.
What you get
Proactive monitoring and issue resolution
Performance tuning and enhancements
Data quality improvements
Continuous optimization support
Certified experts you can trust
We implement it with clear use cases, scalable architecture, and faster time to value.
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Behind the scenes - the SFMC data cloud implementation process we follow
We start by understanding your data landscape, business goals, and activation priorities.
We start by understanding your data landscape, business goals, and activation priorities.
We design a scalable Data Cloud architecture aligned with Salesforce best practices.
We design a scalable Data Cloud architecture aligned with Salesforce best practices.
Data ingestion, identity resolution, calculated insights, and segmentation—implemented cleanly and correctly.
Data ingestion, identity resolution, calculated insights, and segmentation—implemented cleanly and correctly.
We ensure your unified data actually powers journeys, personalization, analytics, and decision-making.
We ensure your unified data actually powers journeys, personalization, analytics, and decision-making.
We refine models, improve performance, and support new use cases as your needs evolve.
We refine models, improve performance, and support new use cases as your needs evolve.
CRM, Marketing Cloud, Data Cloud, and integrations, all handled by one team, ensuring faster execution and fewer handoffs.
We focus on what works, not just what looks good on slides. This ensures solutions scale and perform in production.
Every implementation goes beyond just platform setup; is tied to activation, ROI, and measurable outcomes.
With our 10+ years of Salesforce experience and Salesforce-certified specialists, you reduce risk and accelerate time-to-value.
Scale services as your needs evolve, without being locked into any rigid or long-term commitments.
Get high-volume, multi-source, multi-region data setups delivered with performance and compliance at the core.
We fix identity resolution, data models, and activation gaps so your unified data actually drives personalization and decisions.
Salesforce’s vision of Data 360 is simple on paper: a unified, real-time view of every customer across Sales, Service, Marketing, and Commerce. In practice, achieving that level of clarity is anything but simple. This is where Salesforce Data Cloud plays a critical role as the foundation that enables Data 360
Many organizations implement Data Cloud, expecting instant unification and activation. What they often encounter instead is fragmented data, unclear identity resolution, and limited downstream impact. The challenge isn’t the platform, but it’s how Data Cloud is planned, implemented, and operationalized.
A successful Data Cloud implementation rests on three core pillars.
First comes hygiene. Your customer data is spread across CRMs, marketing tools, commerce platforms, and external systems. Moreover, it’s often incomplete, duplicated, or inconsistently structured. Without addressing data quality, consent, and governance first, even the most advanced setup fails to deliver meaningful insights. So the first step to building Data 360 is knowing which data matters, where it comes from, and how it should be standardized.
This is where many implementations stall. Connecting profiles across sources requires more than technical connectors; it demands a clear identity strategy. Matching rules, harmonized data models, and real-world use cases must work together. When done right, Data Cloud creates a continuously updated customer profile that reflects behavior, preferences, and interactions across channels.
A unified profile has value only when it drives action. The real power of Data Cloud lies in activating insights across Marketing Cloud, Sales Cloud, Service Cloud, and beyond. Activation is what turns Data 360 from a concept into ROI, be it real-time personalization, smarter segmentation, or faster service resolution.
This is where Mavlers can step in.
We help teams beyond just implementation. We help with Data Cloud that actually works in production. The approach? Combines data strategy, hands-on implementation, and activation-led design. This ensures Data Cloud feeds real use cases. From auditing existing data environments to integrating multiple sources, configuring identity resolution, and enabling downstream activation, we focus on outcomes.
Data 360 isn’t something you switch on.
It’s something you build intentionally, strategically, and with the right implementation partner.
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