Why B2B teams evaluate alternatives to Pardot
Pardot, now called Marketing Cloud Account Engagement (MCAE), helped define B2B marketing automation. It gave marketing and sales teams a shared system for lead nurture, scoring, and grading inside Salesforce, and for a long time that was enough. The teams looking to switch today are not unhappy with what Pardot was built to do. They have simply outgrown the assumptions it was built on.
Most of those assumptions trace back to one thing: the Prospect object. Pardot models the world as a flat list of Prospects that sync to Salesforce Leads and Contacts. That works when your marketing data starts and ends in the CRM. It breaks down the moment you want to act on data that lives somewhere else, like product usage in your warehouse or a custom object that describes how your business actually works.
The Prospect model problem
Pardot’s data model is fixed around Prospects. Custom objects are supported, but the sync is read-only and limited, and segmentation ultimately routes through fields that have been synced into Pardot. For a B2B team that thinks in terms of accounts, opportunities, product signals, and custom entities, that is a constant source of friction.
A request like “email every contact at an account with an active trial and more than fifty weekly active users” assumes you can reach product and warehouse data. In Pardot, that data has to be flattened into Prospect fields first, if it can be brought in at all. Conversion’s data model speaks B2B natively. Leads, contacts, accounts, and opportunities sync directly from Salesforce, custom objects model your specific entities with full relationship support, and every field is available in a visual query builder that gives you SQL-level power without writing SQL.
No warehouse, no problem becomes a real problem
Pardot has no native connection to a data warehouse. If the signals that matter most to your business live in Snowflake, BigQuery, or Databricks, you are left building pipelines to push that data into the CRM and then into Pardot, or you simply do without it.
Conversion includes native warehouse connectivity. Connect Snowflake, BigQuery, Databricks, Redshift, or PostgreSQL and use that data in segments, personalization, and workflow triggers immediately. Marketing ops configures it through the UI. There is no separate product to license and no engineering dependency to maintain.
Personalization beyond synced fields
Pardot uses Handlebars Merge Language (HML) for dynamic content, and personalization is limited to the fields that have been synced into the Prospect record. It works, but it feels dated, and it keeps your messaging tied to whatever made it into the CRM.
Conversion uses Liquid, the same templating language behind Shopify, Jekyll, and dozens of other platforms. Dynamic personalization, conditional blocks, and loops are straightforward, and you can reference live CRM and warehouse fields directly. Because Liquid is an industry standard, the skills your team builds are portable rather than locked to a single product.
AI that does the work, not just scores it
Pardot’s AI shows up as Einstein scoring add-ons reserved for higher editions. They can be useful, but they are bolted onto the same Prospect-centric foundation, and they stop at scoring.
Conversion is AI-native. AI agents help create campaigns, route and score leads, and personalize content across the platform, drawing on CRM, warehouse, and product data rather than synced fields alone. The difference is not a better score. It is automation that takes work off your team’s plate.
The Salesforce integration you already wanted
Teams often choose Pardot because it is a Salesforce product, and that integration is genuinely an advantage. Conversion does not ask you to give that up. Its Salesforce sync is native and bidirectional, with Campaign membership and status tracking, task creation, object writes, Contact-first person creation, customizable field mappings, and full audit logging. There is no connector lag to manage and no Prospect-to-Lead mapping to reason about.
Migration and onboarding
Switching marketing automation platforms is never trivial, and we will not pretend otherwise. The good news is that Pardot migrations are well-trodden. Most teams are live in about four weeks. A dedicated deployment strategist migrates your assets, scoring and grading models, lists, and email templates, and your Salesforce data syncs from day one. Rebuilding templates in Liquid is faster than most teams expect, especially compared with maintaining Handlebars Merge Language.
Who Conversion is built for
Conversion is the right choice for B2B marketing teams that have outgrown the Prospect model and want to activate the full picture of their data. If your scoring, segmentation, and personalization are constrained by what fits into synced CRM fields, and if the data that would make your campaigns smarter is sitting in a warehouse Pardot cannot reach, the platform is working against you. Conversion gives you the Salesforce-native foundation you chose Pardot for, with the data depth, AI, and flexibility it was never designed to offer.