Why teams are moving on from Marketo
Marketo Engage has been a staple of B2B marketing for over a decade. It pioneered lead scoring, Smart Campaigns, and CRM-connected nurture flows. For many teams, it was the first real marketing automation platform they adopted.
But marketing has changed. Today’s B2B buyers expect personalized, multi-channel experiences driven by real-time data from CRMs, data warehouses, and product analytics. Marketo’s architecture was designed before the modern data stack existed, and that gap is showing.
Teams that rely on Marketo increasingly find themselves building workarounds: middleware to connect warehouse data, custom integrations for product signals, and manual processes to compensate for a rigid data model.
The data model problem
At the core of most Marketo frustrations is the data model. Marketo was built around a flat lead-and-contact database. Custom objects exist but are limited in scope and difficult to manage at scale.
Modern B2B organizations need to represent complex relationships: accounts with multiple buying committees, product usage events, subscription data from the warehouse, and intent signals from third-party tools. In Marketo, modeling these relationships requires extensive workarounds or external tooling.
Conversion takes a different approach. The platform starts with a flexible data model that supports custom objects, relationships, and events out of the box. Connect your Salesforce instance and your data warehouse, and every object is immediately available for segmentation, personalization, and workflow triggers.
Warehouse-native by design
One of the most common reasons teams evaluate alternatives to Marketo is the need to activate warehouse data. Product-led growth signals, usage metrics, billing data, and enrichment outputs all live in Snowflake, BigQuery, or Databricks. Getting that data into Marketo requires third-party reverse ETL tools like Hightouch or Census, adding cost, latency, and complexity.
Conversion syncs natively with major data warehouses. Tables and views in your warehouse become usable objects in the platform without middleware, without engineering tickets, and without batch-sync delays.
AI that goes beyond scoring
Marketo offers predictive scoring through Adobe Sensei, but the AI capabilities largely end there. Campaign creation, content personalization, and optimization still require manual effort from your marketing operations team.
Conversion’s AI agents handle campaign creation, dynamic personalization, lead routing, and platform auditing. These agents are trained on your business content and data, so they understand your ICP, your messaging, and your lifecycle stages. The result: campaigns that used to take weeks to build and launch can ship in hours.
Migration without the pain
Moving off Marketo is a real concern. Years of programs, templates, scoring models, and integrations create significant switching costs. Conversion offers guided migration that maps your existing Marketo programs, scoring logic, and templates into the new platform. Most teams are fully operational within 2-4 weeks.
