Don't spend $500k+ vibe-coding critical marketing infrastructure.
Conversion gives you production-grade marketing automation that connects BigQuery, Salesforce, and your product data out of the box. No internal build. No six-month roadmap. Just the infrastructure your team needs, ready on day one.
Day 1
BigQuery product signals live in Conversion, no engineering sprint
40 hrs to 10
MOps hours reclaimed weekly with agent automation
90-day pilot
3-month break clause, Marketo buy-out, run both side by side
Sep 30
Marketo renewal date, pilot started in July clears it
Every data pipeline you build is a pipeline to maintain
A marketing platform is not a project, it is infrastructure built to process hundreds of thousands of records reliably. Stitching Fivetran, BigQuery, Hightouch, Workato, and a handful of point tools together gets you a pipeline with a dozen seams, and every seam is something your team owns and something that breaks.
Salesforce 
Fivetran 
Segment 
BigQuery 
Hightouch 
Chili Piper 
Workato 
Customer.io 
SendGrid 
Clay Why building it in-house compounds the problem
A Python MQL responder and a RAG content recommender are not a marketing platform. They are point solutions that your MOps team has to maintain while also supporting six demand-gen managers. Here is what that compounds into over time.
Maintenance burden lands on MOps
In-house pipelines need someone to own them. When the Python MQL responder breaks or the scoring model drifts, it is your two-person MOps team that fields it, not your engineers.
Every new signal is an engineering ticket
Adding a new product event to your scoring or nurture flow today takes a 3-to-5 day RevOps and engineering cycle. Conversion lets your MOps team wire new signals without writing a ticket.
The Rippling precedent
Rippling built in-house with roughly eight engineers at around one million dollars per year. They came back to the vendor market. The maintenance cost of a custom MAP compounds every quarter.
Your engineers should build product, not pipelines
Conversion is the data infrastructure and marketing-execution layer. Your in-house GTM-AI team keeps shipping product-adjacent tools. We handle the campaign, scoring, and MOps surface so they do not have to.
Conversion's counter: you are not replacing your engineering team, you are hiring a team that specializes in exactly this problem. The data infrastructure, scoring, and marketing-execution surface is maintained by us, freeing your engineers to build product.
Run one-to-one ABM with agents
One agent works each target account end to end off a single record: scoring it, orchestrating the journey, and building a bespoke experience with custom ads, a custom landing page, and a tailored nurture sequence, all off your BigQuery and Salesforce data.
Unified record
One record per account.
Conversion agent
orchestratingLanding pages
One per target account
Ads
LinkedIn, Meta, Google orchestration
Nurture
Multi-touch, personalized
Attribution
First touch to pipeline
You are looking at the play right now. The ad that booked this meeting, this landing page, and the follow-up you will get were all orchestrated by one agent off a single account record. That is the one-to-one motion you can run on every target account.
Product signals sit in BigQuery. Marketo can't read them.
Every trial signup gets the same five generic emails, no matter how many drone flights they have run, how many team members they have invited, or how many times they visited the pricing page. Conversion brings that behavioral data out of BigQuery and into every campaign on day one.
Today: product signals sit in BigQuery
Trial started
Flight hours: 0 · Projects: 0
First export completed
Files: 12 · Annotations: 4
Team member invited
Seats used: 3 / 5
Upgrade page visited
Plan: Free · 2 visits this week
Every trial gets the same 5 generic emails regardless of what they actually do in the product.
With Conversion: signals trigger plays
Unified and live First export completed
Trigger: high-intent trial nurture
Upgrade page visited ×2
Trigger: offer camera-kit incentive
Team member invited
Trigger: team-expansion ABM play
Behavior-triggered, personalized outreach based on what prospects actually do.
Conversion vs Marketo
Marketo is entrenched and familiar, and the migration feels like a risk. On the capabilities that matter most for where DroneDeploy is going, here is the honest comparison.
| Capability | Conversion | Marketo |
|---|---|---|
| Product data and PLG | ||
| Native BigQuery activation, no eng dependency | ||
| Product-usage triggers for lifecycle and scoring | ||
| Behavior-triggered trial nurture (not a static 5-email sequence) | Static sequences only | |
| AI SQL editor, query warehouse in plain language | ||
| AI and automation | ||
| Self-tuning AI lead scoring on BigQuery history | Manual, static models | |
| Campaign built from a monday.com or Jira brief | ||
| Closed-lost recovery and stale-hand-raiser agents | Manual smart campaigns | |
| MCP server available today | ||
| Salesforce and data model | ||
| Write to accounts and custom objects | ||
| Real-time bidirectional Salesforce sync | 5-7 min batch | |
| Campaign-member-level UTM stamping | Lead/contact only | |
| Add a new data point without an eng ticket | 3-5 day RevOps cycle | |
| Partnership | ||
| Forward-deployed engineer in Slack, 1-hr SLA | Ticket queue + SIs | |
| Run in parallel with Marketo, migrate in slices | N/A | |
| Marketo contract bought out as part of pilot | N/A | |
InfoSec runs in parallel, not after
The September 30 Marketo renewal is the forcing function. A 90-day pilot started in July clears it. Here is exactly how we get through procurement in time, without the InfoSec review becoming the bottleneck.
- Week 0
Mutual NDA + security docs
We send SOC 2 Type II, ISO 27001, CCPA, and GDPR documentation against your NDA immediately, so InfoSec review runs in parallel with working sessions, not after them.
- Week 1 to 2
InfoSec review completes
One to two weeks if prioritized. BigQuery access runs through a service account you provision and own via a Terraform PR, scoped to only the tables you choose.
- Week 2 to 3
Integration provisioned
Salesforce via an integration user with field-level sync controls. BigQuery IAM handled with your team. Conversion and Marketo run in parallel with a double-write for zero downtime.
- Day 90
Pilot complete, decision made
A 90-day pilot started in July clears the September 30 Marketo renewal. The break clause means you are not locked in if the product does not deliver.
AI your InfoSec team can approve
Human-in-the-loop by default
Every output reviewable before it ships
Full audit trail on every action
RBAC to the object and field level
No training on your data
SOC 2 Type II, ISO 27001, CCPA, GDPR
Enterprise teams already running on Conversion
Conversion runs marketing for enterprise SaaS companies with high-stakes security requirements, Salesforce and warehouse stacks, and small MOps teams supporting growing demand-gen organizations. The pilot model and the migration playbook are proven.
Consolidating GTM onto Conversion under high-stakes security requirements, with full InfoSec review completed and BigQuery product signals live in campaigns.
Enterprise marketing team, migrated off Marketo with our forward-deployed team.
Frequently asked questions
Pricing is based on marketable contacts, and AI usage is unlimited so the number is predictable before you sign. We price year one at or near what you are paying Marketo today, and we will buy out your remaining Marketo contract as part of the pilot so you are not double-paying. We can share a concrete range against your current contact volume in a working session.
Yes, and we recommend it. The standard pilot is 90 days with a break clause. We run both platforms in parallel with a double-write so there is no downtime and no forced cutover. Your team migrates one slice of functionality at a time, starting with the highest-value net-new programs, and we handle the Marketo parity work so your demand-gen team stays focused on pipeline.
We send SOC 2 Type II, ISO 27001, CCPA, and GDPR documentation against your mutual NDA immediately, so security review runs in parallel with working sessions rather than after them. BigQuery access is scoped to a service account you provision and own via a Terraform PR, pointed only at the tables you choose. Salesforce uses an integration user with field-level sync controls.
Conversion is designed to complement in-house AI, not replace it. Think of us as the data infrastructure and marketing-execution layer: your engineering team keeps building product-adjacent tools, and Conversion handles the campaign-execution, scoring, and MOps-automation surface so they do not have to maintain that themselves. We also expose an MCP server, so existing Claude workflows can call Conversion directly.
No. Hightouch and Clay stay in place. Conversion is the marketing-execution and activation layer on top of your warehouse, not a reverse-ETL replacement. Common Room signals, Clay enrichment, and Gong transcripts can all be ingested into Conversion to power scoring and personalization without ripping out tools that are working.
A pilot started in early July gives you 90 days before the renewal. InfoSec review takes one to two weeks if prioritized, BigQuery provisioning is a Terraform PR, and Salesforce is an integration user. The 90-day pilot with a break clause means you have a live proof-of-value before you need to decide on the renewal. We handle the migration work so your team is not the bottleneck.
See it running on your product data
Book a working session and we will show you BigQuery and Salesforce unified in Conversion, a scoring model trained on your closed-won history, and the trial lifecycle that replaces your five-email sequence.