Funnel goes wide on data. Cresva goes deep on agents.
Both centralize marketing data. Funnel covers 600+ connectors with conversational AI on top. Cresva specializes on a smaller core integration set with seven coordinated agents that take action.
Cresva
Funnel.ioConnector breadth vs. agent depth.
Funnel and Cresva both centralize marketing data. The architectural difference is shape: Funnel emphasizes data plumbing across hundreds of sources with Funnel AI and Funnel Measure on top; Cresva emphasizes per-agent specialization on a smaller core integration set with a workforce that takes action.
Connector graph as the architectural primary
Funnel positions itself as the marketing intelligence platform for the agentic era. The architecture is connector-graph-up: 600+ connectors at the foundation, with Funnel AI conversational chat, Funnel Measure (MMM + MTA), and warehouse export on top. (Per their marketing.)
Workforce that acts on a focused integration set
Cresva's foundation is a memory layer shared across seven agents on a curated core integration set (Meta, Google, TikTok, Shopify, Klaviyo, GA4). Each agent is accountable for one role; the workforce ships decisions, not just centralized data.
How each handles specific capabilities.
600+ connectors marketed as the architectural primary; trusted with $80B in annual ad spend.
(per their marketing)Memory layer shared across 7 agents on a curated core integration set; the agent layer is the architectural primary.
Maya600+ connectors and 500,000+ active data sources marketed; one of the broadest source coverages in the category.
(per their marketing)Curated core integration set: Meta, Google, TikTok, Shopify, Klaviyo, GA4. Cresva does not match Funnel's source breadth.
DanaFunnel AI Data Chat marketed as the future of conversational insights over the connector graph.
(per their marketing)Seven specialist agents with shared memory rather than a single conversational chat surface.
Funnel Measure adds MMM + MTA on top of the connector graph as a separate add-on product.
(per their marketing)Parker handles attribution and Felix handles forecasting inside the same workforce; not a separately purchased add-on.
ParkerWarehouse-native data export is first-class; data engineering and warehouse delivery are central to the value proposition.
(per their marketing)Dana's data layer is built for agent consumption first; warehouse export is available but not the architectural primary.
DanaTiered plans with Funnel Measure as a paid add-on; specific pricing via their pricing page.
Source ↗Pilot-based, contact for full pricing.
Acknowledged strengths. Where Funnel.io earns its place.
Sourced to their public marketing.
600+ connector breadth
One of the broadest source-coverage stories in the category, including categories Cresva does not currently cover.
per their marketingFunnel Measure for MMM + MTA
Add-on product layering MMM and MTA on top of the connector graph for unified measurement.
per their marketingWarehouse-native data export
Data engineering and warehouse delivery are first-class; built for teams that own their data infrastructure.
per their marketingEnterprise scale
Trusted with $80 billion in annual ad spend across more than 3,000 customers; agentic-era positioning is intentional.
per their marketingArchitectural decisions that earn the difference.
Connector breadth is one shape. Cresva's shape is per-agent specialization on a smaller core integration set with a workforce that takes action.
Per-agent specialization over generalist chat
Felix forecasts. Parker attributes. Sam tests. Olivia briefs creative. Dana shapes data. Maya remembers. Dex delivers. Each role is one specialist.
MayaDecisions made on the data, not just centralized
Sam's playbooks queue budget moves and creative briefs for approval; the workforce ships decisions, not only reports.
SamCurated core integration set
Meta, Google, TikTok, Shopify, Klaviyo, GA4. Depth on the integrations the workforce uses every day, rather than coverage breadth across hundreds of sources.
DanaMemory layer that compounds across the workforce
Each decision is written back; next quarter's forecast reads from what worked last quarter on this brand.
MayaWhich fits your shape.
You need 600+ source coverage
Connector breadth across hundreds of sources is the architectural strength.
Warehouse-native data export is mission-critical
Funnel is built around data engineering and warehouse delivery first.
Your team owns the analytics layer downstream
Centralized data into your warehouse with your own modeling on top.
You want MMM + MTA inside the same data platform
Funnel Measure layers measurement on the connector graph as one product.
You want a workforce that acts, not just data that lands
Decisions made and shipped, not only centralized for downstream tools.
Per-agent specialization beats generalist chat for your team
Seven specialists with shared memory, each accountable for one role.
Your stack runs on a focused core integration set
Meta, Google, TikTok, Shopify, Klaviyo, GA4 covers it.
Day-shaped delivery cadence fits your team
Morning brief, midday actions, end-of-day recap.
Questions about Cresva vs Funnel.io
Both Funnel and Cresva centralize marketing data. What's actually different?
Architecture, not whether data is centralized. Funnel's architecture is connector-graph-up with 600+ sources, Funnel AI for conversational chat, and Funnel Measure as a measurement add-on. Cresva's architecture is workforce-up: a memory layer shared across seven specialist agents on a focused core integration set. Same primitive, different shape.
Does Cresva match Funnel's 600+ connector breadth?
No. Funnel's connector breadth is genuinely category-leading; their architectural strength is source coverage. Cresva runs on a curated core integration set (Meta, Google, TikTok, Shopify, Klaviyo, GA4). If 600+ source coverage is a primary requirement, Funnel's architecture serves that need directly.
Does Cresva offer warehouse export?
Cresva's data layer is built for agent consumption first; warehouse export is available but is not the architectural primary. Funnel's warehouse-native export is a first-class capability and a deliberate architectural choice for teams that own the analytics layer downstream. If warehouse export is mission-critical, Funnel's shape fits that requirement.
When should I choose Funnel over Cresva?
If you need 600+ source coverage, if warehouse-native export is mission-critical, if your team owns the analytics layer downstream, or if you want MMM + MTA inside the same data platform via Funnel Measure, Funnel's architecture serves those needs directly.
What does the Cresva pilot look like?
14-day pilot structure. First reconciled view inside 48 hours after OAuth. Full compounding effect rolls in across the pilot. Architecture target: exact onboarding speed depends on data history and integration count.
Other competitors we compare to.
See the workforce architecture on a single brand account.
If the workforce architecture earns its place inside the 14-day pilot, scale across the portfolio. If your team is better served by Funnel's connector-graph-up shape, we'll say so.