Problem

Modern B2B marketing teams are constrained by legacy marketing-automation platforms that were designed for an earlier era of structured CRM workflows. Conversion says warehouses, product-led growth motions, and AI have changed what marketers need, while older systems were not built for that environment. The resulting pain is operational and economic: teams spend significant time stitching together CRM, warehouse, and product data, enriching contacts, and manually building workflows and follow-up campaigns instead of focusing on growth.

The core use case is helping midsize B2B companies replace or augment legacy tools so they can automate personalized marketing at scale. Conversion’s customer discovery focused on 50- to 500-employee businesses, and the company reports that roughly 90% of its customers are midsize businesses that removed a legacy application. The payoff is reduced marketing-operations labor and faster campaign execution rather than simply adding another email tool.

Product / Service

Conversion is an AI-native B2B marketing automation and data platform delivered as enterprise software. It connects CRM, warehouse, and product data into a unified context layer, preserves objects and events for warehouse-native automation, and uses AI agents to perform repetitive marketing work. Its platform is positioned to organize leads, enrich contacts, automate workflows, and trigger personalized messages across the appropriate channel when buying intent is detected.

The benefit is a faster, more autonomous campaign-production workflow: marketers can ship campaigns in hours instead of weeks, while the company reports a 75% reduction in marketing-operations hours, 10x faster campaign launches, and more than 1 billion real-time events processed. Conversion Agents extend this approach by embedding an agent layer directly into the marketing-automation platform rather than treating AI as a separate add-on.

Market

Conversion competes in the marketing-automation platform and modern B2B marketing-data-platform categories, with a focus on replacing incumbent systems for established marketing teams. Its legacy competitors include HubSpot, Adobe Marketo, and Salesforce Pardot; adjacent AI-native or automation competitors named in the research include Jasper, Writer, Iterable, and Copy.ai. The company describes itself as a fast, flexible marketing-automation platform for modern B2B teams rather than purely an email or AI-workflow product.

Conversion is clearly post-revenue and has reported meaningful early traction. The company says it is trusted by more than 4,000 companies and has grown to nearly eight figures in annual recurring revenue in under two years; TechCrunch separately reported that it was nearing $10 million in ARR and had raised $30 million across its seed and Series A. Its Series A was announced as $28 million, led by Abstract Ventures with participation from HOF Capital, True Ventures, Antler, and angels from OpenAI and the broader AI and go-to-market ecosystem.