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The GTM process is fundamentally broken for buyers due to constant handoffs from chatbot to SDR to AE to SE. This creates a disjointed experience where context is lost and customers are forced to repeat themselves.

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Relying on a CRM for sales-to-success handoffs is a recipe for failure. A mandatory, conversational meeting is required to transfer crucial context about the customer's goals and history. This prevents customers from having to repeat themselves, which immediately erodes trust and lowers expectations.

The traditional marketing funnel of discovery, consideration, and conversion is being condensed. AI engines handle all three stages within a single conversational interface, moving the customer journey into a "black box" away from brand-owned websites.

Most go-to-market challenges, from low conversion rates to departmental friction, can be traced to the handoff process between marketing and sales. Start your diagnosis here to find the root cause of issues like low-quality leads or poor pipeline velocity, not just the symptoms.

Most GTM systems track initial outreach and final outcomes but fail to quantify the critical journey in between. This "ginormous gray area" of engagement makes it impossible to understand which activities truly influence pipeline, leading to flawed, outcome-based decision-making instead of journey-based optimization.

Many brands practice multi-channel marketing, addressing customers on various platforms, but fail at true omnichannel. The key distinction is context continuity, where each new interaction is informed by the previous one. Most brands still struggle with this, but combining predictive analytics with Gen AI is making seamless, contextual omnichannel experiences a reality.

Buyers' daily interactions with seamless consumer technology and AI are setting a new, higher standard for B2B sales. They now subconsciously compare your sales process to the easiest experience they've had anywhere, causing them to lose patience, ghost, and stall much faster when they encounter friction.

Don't fear deploying a specialized, multi-agent customer experience. Even if a customer interacts with several different AI agents, it's superior to being bounced between human agents who lose context. Each AI agent can retain the full conversation history, providing a more coherent and efficient experience.

AI is making buyer journeys non-linear and compressed. Instead of a linear funnel, GTM strategy must shift to a continuous, customer-centric "flywheel" model. Buyers conduct deep research upfront, making direct sales engagement optional for some and requiring an always-on, value-first approach.

Businesses often design for internal processes and efficiency, creating a series of disconnected handoffs (e.g., in a hospital or restaurant). This forces the customer to maintain the coherence of their own journey, resulting in a fragmented, unloving, and ineffective experience that ultimately harms outcomes.

Customers will abandon a sales process at the slightest complication or request for too much information. This intolerance for friction means salespeople must execute a more deliberate, upfront discovery process to qualify or disqualify prospects much faster, rather than trying to prolong the conversation with low-potential leads.

The Broken Buyer Journey Stems from Constant Human Handoffs | RiffOn