Skip to content

Solutions / Marketing Ops & RevOps

The revenue stack, actually connected.

MAP, CRM, and data warehouse all have a version of the truth — and none of them match. Tray.ai is the orchestration layer that makes them one stack.

faster lead response at Cisco
80%
lead response time at Jellyvision
30 → 10 min
more campaigns per FTE at Wavo
69%

The Revenue Operations problem is data scattered across systems that don’t agree.

Marketing has the attribution. Sales has the pipeline. Finance has the actual revenue. None of them produce the same number when they should — and the weekly review is a reconciliation exercise before it’s a strategy conversation.

Tray.ai is the orchestration layer that closes that gap. Cisco saw 80% faster lead response. Jellyvision cut lead response time from 30 minutes to 10.

What Marketing Ops and RevOps build on Tray.ai

Lead routing at the speed revenue expects

Route leads from MAP to CRM based on territory, segment, score, and account match — in seconds, not overnight. Routing logic updates without an engineering ticket.

Campaign and pipeline data unified

Attribution, pipeline, and revenue data in one view. Finance, sales, and marketing stop working off different numbers.

AI agents that work the pipeline

Agents that enrich leads, score accounts, and surface the right rep — on the same platform your integrations already run on.

Ops changes ship without waiting on engineering

Routing rules, triggers, and workflow logic owned by ops, not engineering. Changes ship in hours, not sprints.

30 → 10 min lead response time (Jellyvision)

“Tray has allowed us to operationalize AI faster than any other company we are competing with.”

Brendan Neal
VP Revenue Operations, Wavo

Frequently asked questions

We're already on Marketo + Salesforce. What does Tray.ai add? +

Tray.ai is the orchestration layer between them — not a replacement. Lead scoring in Marketo triggers routing in Salesforce, enrichment from a third-party vendor, and a Slack notification to the rep — all as one workflow that any ops person can update. The MAP and CRM stay; the glue between them becomes configurable and auditable.

How does AI fit into marketing and revenue operations? +

The immediate wins are enrichment and routing — agents that pull firmographic data, score inbound leads, and surface the right accounts to the right rep faster than a human can. Wavo operationalized AI for RevOps on Tray.ai and reports moving faster than any competitor. The governance comes built in — every agent action is logged, every tool call is traceable.

Can Marketing Ops manage this without engineering? +

Yes. Routing rules, trigger conditions, field mappings, and workflow logic are configurable by operations teams directly. Changes don't require a sprint or a Jira ticket. The engineering team defines the architecture once; Marketing Ops and RevOps iterate on the logic.

What data sources does Tray.ai connect? +

Marketo, HubSpot, Eloqua, Pardot, Salesforce, HubSpot CRM, Snowflake, BigQuery, Databricks, LinkedIn Ads, Google Ads, Stripe, and 700+ more. The universal HTTP client handles any tool with an API. One platform covers the full marketing and revenue stack.

See how Marketing Ops & RevOps teams use Tray.ai

Walk through your real systems with someone who's been there.