Platform Watch
  • GOOGL337.83-3.8%
  • MSFT500.59+0.5%
  • META744.10+1.0%
  • RDDT151.98-2.4%
  • HUBS226.03+3.7%
  • ADBE240.69+1.0%
  • CRM237.58+1.8%
Buyer Behavior

Demandbase Launches Mojo, an AI Agent for End-to-End B2B Campaign Orchestration

Demandbase has introduced Mojo, an AI agent designed to convert a stated B2B marketing strategy into a live, cross-channel campaign and continuously refine execution based on performance signals, marking a shift from task-specific AI tools toward fully agentic campaign management.

Demandbase has launched Mojo, a new AI agent built specifically for B2B marketing teams. According to reporting by CustomerThink, as synthesised by Renascence, Mojo is designed to take a stated marketing strategy as input and orchestrate the resulting campaign across multiple channels, rather than functioning as a one-off content or automation tool.

Unlike AI tools built for discrete tasks such as copywriting, list segmentation or scheduling, Mojo is described as observing performance signals from each campaign it runs and feeding those learnings back into how it plans and executes future activity. The stated aim is continuous improvement rather than static, one-time optimisation.

Renascence characterised the launch as signalling a broader directional shift in B2B marketing technology: a move away from AI that assists with individual tasks toward agents that handle end-to-end campaign orchestration and adapt their own behaviour based on outcomes. In its analysis, Renascence noted this changes the operating model "from 'humans plan, tools execute' to a loop where the agent is continuously learning the organisation's specific patterns and adjusting accordingly."

Renascence also situated the development within a wider enterprise AI trend, describing it as part of a move "from generative content tools to agentic systems with a persistent memory of what works." The firm noted that the agent is built to learn an organisation's marketing behaviour over time, adjusting execution based on what each campaign reveals.

Renascence raised a critical caution for marketing leaders evaluating the product, warning that an agent which quietly reinforces existing biases in past campaign data "is not improving strategy — it's automating whatever worked before, including its blind spots." The firm advised that organisations piloting Mojo should demand visibility into what the system has actually learned and why it made a given call, treating early campaign cycles as an audit of the agent's judgement rather than solely a measure of its productivity.

Demandbase had not issued a separate public statement in the evidence available at the time of publication. The primary source cited by Renascence is CustomerThink.

Prepared with AI assistance and reviewed by the editorial team.

Sources

Buyer Behavior

AI Buyer Trust and ROI: Enterprise Leaders Debate What It Really Takes to Win Confidence in AI Services

A diginomica analysis published on 21 September 2026 argues that earning enterprise buyer trust in AI requires more than ROI metrics, calling for transparency in pricing and data handling, explainability, and genuine buyer empathy. The piece also rounds up Dreamforce 2026 highlights, including Salesforce CEO Marc Benioff's interface-agnostic stance, and surveys broader enterprise AI debates around tokenomics, agentic failures, and AI leadership.

4 min read
Buyer Behavior

IBM Study: Six in Ten Employees Fear AI Is Eroding Critical Thinking Skills

A global IBM survey of 1,500 CHROs and 8,800 employees, released 21 September 2026, finds that 60% of workers worry AI is degrading their skills, with critical thinking cited most often. The research reveals a significant gap between what HR leaders believe the workforce needs and what employees themselves prioritize, and highlights accountability gaps, "invisible" work, and lagging AI adoption inside HR functions.

4 min read