Marketo moves at 18k records per hour. Conversion moves at 500k.
The Salesforce sync lag and the manual MOps bottleneck are two symptoms of the same root cause: Marketo has no AI velocity. Conversion is built from the ground up to replace it, unify Salesforce and Databricks into one record, and run agents that automate the work that currently takes your team days.
~500k/hr
Salesforce sync throughput vs. Marketo's 18k/hr
~3 min
Sync interval vs. Marketo's 15-plus-minute lag
50–70%
Of MOps tickets fully automated by agents
MAP + CDP
One platform, replacing Marketo and Segment both
The sync gap is not a minor difference
Marketo's sync runs on a 15-plus-minute polling interval at roughly 18,000 records per hour. For a database with millions of bi-directional updates per day, that means lead scores, routing assignments, and campaign triggers are always stale. Conversion runs on a 3-minute interval at 500,000 records per hour. The routing and scoring your team needs to act on shows up in near real time.
Routing lag, stale lead scores, and delayed handoffs from a 15-plus-minute sync window.
Lead scores, routing assignments, and campaign triggers update in near real time.
28x
More records per hour
5x
Faster sync interval
~12M
Daily records capacity
From a 48-hour QA SLA to a 5-minute agent run
List uploads, campaign builds, QA passes, and ticket-to-execution handoffs eat your team's week. Describe the workflow once and an agent handles it end to end, with a human review step before anything reaches a contact. Conversion can automate 50 to 70 percent of the MOps tickets that currently require manual intervention.
Automated list uploads, no 24-hour SLA
QA agent checks campaigns before send
Asana ticket to campaign execution, without a handoff
Human approval before anything goes live
Sarah Chen
Finished 2m ago
James Park
Finished 8m ago
Maria Lopez
Finished 14m ago
Alex Rivera
In progress
Contact meets criteria
Click to view
Enrichment Agent
Score: 92 → High intent
Assign to sales
Routed to Jordan M.
Build any segment in plain English, across every data source
Marketo's audience builder requires knowing which of hundreds of fields to use, and which of those are actually populated. Conversion's AI builds the query from a description, across Salesforce, Databricks, Sixth Sense, and Segment simultaneously.
Audience builder
Unified data sources
Fill rate across each source. Fields below 20% fill are deprioritized in audience queries automatically.
Team self-serve
Built EMEA mid-market segment
Cloned US segment for APAC
Added Sixth Sense filter to nurture list
Admin-set guardrails ensure nothing ships without a review. Less-technical marketers self-serve without the risk of an accidental blast send.
Fill-rate-aware fields
Suggested for your database
Deprioritized (low fill)
Conversion vs Marketo
Marketo is deeply embedded, and we know it. On the capabilities driving this evaluation, sync performance, AI automation, and data unification, here is the honest read.
| Capability | Conversion | Marketo |
|---|---|---|
| Salesforce sync | ||
| Sync throughput | ~500k records/hr | ~18k records/hr |
| Sync interval | ~3 min | 15+ min |
| Bi-directional sync on millions of daily updates | Overflows at scale | |
| Real-time lead routing and scoring after sync | ||
| AI and agents | ||
| Agent-native, blank-canvas AI | ||
| Natural-language audience building | ||
| Self-tuning AI lead scoring | Add-on, static | |
| Automated list uploads and QA | Manual | |
| MCP available today | ||
| Data unification | ||
| Native Databricks warehouse activation | Custom pipelines | |
| Sixth Sense intent signals, ingested natively | Manual import | |
| MAP and CDP in one platform | Separate products | |
| Custom objects and flexible data model | Limited | |
| Marketo parity | ||
| Global forms with UTM capture and multi-language | Manual updates | |
| Campaigns to Salesforce campaign sync | ||
| Dedupe and validation rules | ||
| Deliverability and dedicated IP pool | ||
| Sandbox with production-data parity | Partial | |
| Partnership | ||
| Forward-deployed engineer in Slack | Ticket-based support | |
| Parallel migration, Marketo stays live | N/A | |
| Pricing model | Marketable contacts | Database size + SKUs |
Enterprise teams with a high bar have already switched
Plaid and Veriforce, both organizations with security and compliance requirements as demanding as any enterprise, chose Conversion over the incumbent. The AI-native bet is not a leap of faith at this point.
Veriforce migrated off Salesforce Marketing Cloud and Pardot. Plaid is consolidating GTM data and marketing operations under high-stakes security control. Both are well within the range where Conversion performs.
Consolidating GTM data and marketing operations onto Conversion under high-stakes security and compliance control.
Migrated from Salesforce Marketing Cloud and Pardot onto Conversion with our forward-deployed team.
A 90-day pilot built around your actual pain points
The pilot does not start with a rip-and-replace. It starts with agents trained on your specific bottlenecks, running in parallel with Marketo, so the proof is in your own data before any commitment.
Connect and configure
Salesforce and Databricks connected through credentials you own. Sandbox stood up with production-data parity. Custom agents built around your top MOps workflows: self-serve campaign build and QA, automated list uploads, and Asana-ticket-to-execution flows.
Measure the SLA impact
Compare baseline 24-hour list-upload and 48-hour QA SLAs to Conversion's automated equivalents. Count the tickets eliminated and quantify the agency-cost savings. Your team runs Marketo alongside Conversion with nothing disrupted.
Cut over on your timeline
Run both platforms in parallel until you decide Marketo does not need to stay on. Your Marketo contract expiration is the backstop, not the deadline. We handle the heavy migration work alongside you.
Marketo stays live throughout
Sandbox with production-data parity from day one
Forward-deployed engineer in your Slack channel
Frequently asked questions
Conversion Enterprise customers manage tens of millions of contacts across Salesforce and their warehouse today. A database in the 3.5 to 4.3 million range is well within what we handle natively, with no separate database tier required and real-time sync back into Salesforce.
Marketo syncs roughly 18,000 records per hour on a 15-plus-minute interval. Conversion syncs approximately 500,000 records per hour on a roughly 3-minute interval. For a team with millions of bi-directional updates per day, that difference in throughput and latency is material for lead routing, scoring, and downstream campaign triggers.
Yes. Conversion has native connectors for Databricks product-usage data, Sixth Sense intent and account-scoring signals, and Segment event history. All of it folds into a single contact record so your audience builder can query across every source without SQL.
Instead of presenting a raw field picker with hundreds of options, Conversion's AI suggests the right fields based on what you describe, prioritizes fields that are actually populated in your database, and writes the segment query automatically. Marketers stop needing to know the field names.
Yes, and we recommend it. The proposed approach is a 90-day parallel run: 30 days to stand up agents trained on your actual pain points, 60 days to validate SLA and productivity targets with both platforms live. Marketo stays on until you decide it does not need to.
Pricing is based on marketable contacts. Contacts that sit in the platform but are never marketed to are not billed. AI usage is unlimited, so the total cost is predictable in advance based on your marketable database size, without the per-feature SKU complexity Marketo charges for.
Let's prove it on Asana's data
Run a 90-day pilot alongside Marketo, train agents on your actual MOps workflows, and measure the SLA and productivity impact before any commitment.