Salesforce Customer 360
As a certified Salesforce Partner, our marketing operations-focused agency brings diverse expertise and collaborates seamlessly to deliver outstanding results.
Clients We've Helped:
The GNW Orchestration Framework
Most agencies hand you a plan.
We architect the system that runs it.
Every company says the customer comes first. Most technology investments tell a different story. GNW builds the operating system that closes that gap, connecting your data, engagement, lifecycle, insight, and revenue around the one thing that actually drives growth: your customer.
Data Foundation
Lifecycle Architecture
AI Placement
Journey Orchestration
Performance Intelligence
Vision without execution is a hallucination.
Thomas Edison
Salesforce Marketing Cloud Optimization
Marketing Cloud rarely runs as one platform. Most enterprises have Marketing Cloud Engagement for B2C, Account Engagement for B2B, and years of integration debt between them and the CRM. GNW operates at that seam, keeping the platforms you’ve invested in performing at enterprise scale and making clear calls on what to upgrade, optimize, or retire.
Our Proven Optimization Process
Platform Assessment
Map what’s actually running, where data is flowing, and where performance or budget is leaking. Covers Marketing Cloud Engagement, Account Engagement, connector health, deliverability, and governance gaps. This is the step that determines whether the next twelve months succeed.
Migration and Consolidation
Legacy ESP migrations, Account Engagement instance consolidation, and transitions between Marketing Cloud products. Migration is translation work, not lift-and-shift. We preserve the logic, not just the assets.
Implementation and Integration
Full implementations of Marketing Cloud Engagement and Account Engagement, with Marketing Cloud Connect optimization, MuleSoft integrations, and Data Cloud activation. Built to connect, not to stand alone.
Optimization and Deliverability
Merge policies, subscription management, custom field hygiene, IP reputation, and send governance. The foundational decisions that quietly erode performance over years, brought back into line.
Reporting and Attribution
Stitching Marketing Cloud engagement data to Sales Cloud opportunity data so attribution holds up in a CRO review. Native tools, custom reports, or Einstein Attribution where each fits.
Managed Operations
Ongoing campaign build, QA, deliverability monitoring, and performance review. Practitioner support running the platform alongside your team
Marketing Cloud Next Execution
Marketing Cloud Next is Salesforce’s agentic marketing platform, built natively on Data Cloud with Agentforce embedded across the funnel. It is not a new version of Marketing Cloud Engagement. It is a different architecture. For some enterprises moving is the right call. For others it is premature. GNW helps you decide which, and executes accordingly.
Our Optimization Method
Readiness Assessment
Data Cloud readiness, CRM hygiene, and use case prioritization. Moving to Marketing Cloud Next is a data decision before it is a marketing decision. We give you a defensible answer, not a vendor pitch.
Migration from Engagement or Account Engagement
Translating data extensions, scoring models, and Engagement Studio logic into flow-based automation and unified profiles. Including phased and hybrid approaches for enterprises not ready to cut over at once.
Native Implementation
Marketing Cloud Next implementation on Growth, Advanced, or Next editions, integrated with Data Cloud, Sales Cloud, and Service Cloud. Built for cross-departmental workflows, not as a standalone marketing tool.
Agentforce in Marketing
Deployment of Campaign Creation, Personalization Decisioning, Web Curation, Paid Media Optimization, and Segment Intelligence. Placed where they create leverage, governed where they don’t.
Multichannel Orchestration
Email, SMS, WhatsApp, and Unified Conversations configured across the customer lifecycle. Two-way engagement replacing the old do-not-reply model.
Ongoing Operation and Governance
Agent performance monitoring, Data Cloud consumption governance, and profile quality maintenance. Agentic marketing is a practice, not a launch.
Salesforce Data Cloud Optimization
Data Cloud is no longer a marketing activation tool. It is the grounding layer for Agentforce, the unified profile for Sales and Service, and the substrate every AI decision runs against. When it is clean, every downstream platform gets sharper. When it isn’t, agents hallucinate and segments drift. GNW treats Data Cloud as infrastructure, because that is what it has become.
Our Strategic Approach
Readiness Assessment
Source system quality review, identity fragmentation mapping, and use case prioritization across marketing, sales, service, and Agentforce. Data Cloud inherits the data model of everything that feeds it. We assess honestly.
Identity Resolution Design
Match rules, identity graphs, unification logic, and tie-breaker hierarchies. The single most consequential configuration in Data Cloud, built around downstream use cases.
Implementation and Activation
Data streams, Data Model Objects, calculated insights, and zero-copy federation to Snowflake, Databricks, or BigQuery. Architected against committed use cases, not built as a data lake with marketing bolted on.
Consumption Governance
Credit forecasting, data stream rationalization, and segmentation discipline. Most Data Cloud budget overruns hit in months three through six. We design the controls before they do.
Agentforce Grounding
Configuring Data Cloud specifically to ground agentic workloads. Profile completeness, real-time data streams, and knowledge articles prepared so agents operate on trustworthy information.
Ongoing Optimization
Identity resolution tuning, data quality monitoring, and use case expansion. The profile that was accurate in January is not the profile you have in July.
Agentforce Optimization
Agentforce is Salesforce’s agentic platform, built on the Atlas Reasoning Engine and grounded in Data Cloud. The platform is real. The risk is not. Most enterprise Agentforce pilots underperform because of data quality, not because of the agents themselves. GNW places agents where they create leverage, defines where human judgment leads, and builds the governance that keeps the CIO out of a board meeting they did not plan to attend.
How We Drive Performance
Readiness Assessment
Data Cloud grounding readiness, CRM hygiene, process mapping, and compliance exposure review. The conversation the sales process skips.
AI Placement Strategy
Agent Build and Deployment
Agent Builder configuration across Sales, Service, and Marketing. Custom topics, actions, prompt grounding, and Flow or Apex integrations that keep agents inside their role.
Governance and Trust Layer
Einstein Trust Layer configuration, decision trace logging, PII protection, and audit frameworks. Explainability is the prerequisite for deployment, not a feature we add later.
Bring Your Own Model
Integration and evaluation of external LLMs including Anthropic, OpenAI, and Google through the Einstein Trust Layer. For enterprises that don’t want to lock to a single foundation model.
Ongoing Tuning and Operations
Agent performance monitoring, prompt refinement, edge case remediation, and multi-agent coordination. Agents drift. We operate alongside your team to catch it before it becomes an incident.
Salesforce Einstein
Einstein is Salesforce’s AI layer: predictive models, generative content, and decision support embedded across every cloud. It has been in production at enterprise scale for years. Lead scoring, opportunity insights, email generation, forecasting, and next-best-action all live here. The work is not to turn it on. The work is to make it useful, governed, and aligned with the outcomes the business actually measures.
Aligning Einstein to Real Outcomes
Einstein Audit
Inventory of what is enabled, what is performing, and what is drifting across Sales, Service, Marketing, and Industry clouds. Most enterprise orgs have Einstein features live that nobody is actively managing.
Predictive AI
Einstein Lead Scoring, Opportunity Scoring, Discovery, Prediction Builder, and Forecasting configured against the metrics the business actually uses. Models that leadership trusts because they can explain them.
Generative AI
Einstein for Sales, Service, and Marketing configured with prompts, grounding sources, and approval gates. Content that is accurate, on brand, and defensible at scale.
Einstein Trust Layer
PII masking, zero-data retention, toxicity filtering, and audit logging. The prerequisite for generative deployment in regulated industries.
Next Best Action
Unlock the full capabilities of Data Cloud to elevate your marketing strategies, enhance sales enablement, and deliver a comprehRecommendation engines across Sales, Service, and Marketing, grounded in Einstein predictions and Data Cloud signals. The right offer, the right outreach, the right escalation at the right time.ensive service experience with a 360-degree view of your customers.
Einstein and Agentforce Alignment
Unlock the full capabilities of Data Cloud to elevate your marketing strategies, enhance sales enablement, and deliver a comprehensive service experience with a 360-degree view of your customers.
- End-to-End Data Cloud Implementation
- Personalized Marketing and Campaign Execution
- Sales Enablement and Service Optimization
Ready to enhance your marketing efforts with Salesforce?