G2

Maham H.

Salesforce Solutions Architect

Enterprise (> 1000 emp.)

9/10/2026

"A Smarter Path to Real-Time, Context-Aware Personalization at Scale"

4/5

What do you like best about Agentforce Marketing (formerly Salesforce Marketing Cloud)?

What I like most about Agentforce Marketing is that it addresses something I’ve seen repeatedly in enterprise implementations: marketing teams have plenty of data, but turning that data into timely, meaningful action is still hard.

Coming from a Salesforce architecture background, I find the connection between Data 360, Marketing, and Agentforce particularly interesting. Instead of designing another set of rigid segments and journeys, I can start thinking about how an agent can use real-time customer context to decide what should happen next and help execute it.

What excites me personally is the potential to move marketing from “we designed a journey for this segment” to “the platform understands this customer’s current context and adapts the engagement accordingly.” That feels like a much more natural evolution of personalization.

For me, the real value isn’t simply AI generating campaigns or content—it’s connecting customer intelligence to actual decisions and actions at scale. Review collected by and hosted on G2.com.

What do you dislike about Agentforce Marketing (formerly Salesforce Marketing Cloud)?

What I find most challenging is that **the AI experience can be only as good as the marketing data and underlying journey architecture**. In the enterprise environments I’ve worked with, customer data is often fragmented, consent rules vary by market, and marketing journeys can contain years of accumulated business logic. Adding agents on top of that can introduce another layer of complexity.

I also think there is still a gap between the **promise of autonomous marketing and the level of control marketers need in real-world campaigns**. Marketers need clear visibility into why an agent made a recommendation, what data it used, what action it took, and how that action can be governed or reversed.

From an architect’s perspective, I’d like to see **simpler cross-cloud orchestration, stronger end-to-end observability, and more granular governance for agent-driven actions**, particularly around customer consent, frequency limits, and multi-channel experiences.

The opportunity is huge, but I think the product will become significantly more compelling as **AI flexibility and enterprise-grade control become easier to balance**. Review collected by and hosted on G2.com.

What problems is Agentforce Marketing (formerly Salesforce Marketing Cloud) solving and how is that benefiting you?

For me, Agentforce Marketing is solving the problem of turning large volumes of customer data into timely, personalized marketing actions without creating increasingly complex manual journeys.

In the Salesforce architectures I’ve worked with, marketing teams often have customer data spread across multiple systems and spend significant effort building segments, designing journeys, coordinating campaigns, and reacting to customer behavior. Agentforce Marketing has the potential to reduce that operational overhead by combining Data 360, AI, automation, and marketing execution.

The biggest benefit I see is the ability to move from static, predefined journeys toward more dynamic engagement. Instead of designing every possible customer scenario upfront, agents can use customer context and behavior to help determine the appropriate next action while operating within defined business and governance rules.

From my perspective as an architect, that means I can focus less on building endless point-to-point processes and more on designing the data, decisioning, integration, and governance foundations that allow intelligent marketing experiences to operate at scale. Review collected by and hosted on G2.com.