CRM records that explain themselves
Reps open a contact in HubSpot and see first-touch source, attributed pipeline, total touches, and LTV right on the record, with no tab-hopping and no asking marketing where the lead came from.
Platform / CRM & Warehouse Sync
Attribution
everywhere your team works.
Push Cometly's attributed pipeline, revenue, and journey data into the CRM, warehouse, BI tool, and AI agents your company already runs on, so sales, finance, paid media, and your LLMs all judge campaigns against the same revenue.
Where Cometly data lands
flowingCRM
Reps see attribution on every contact and deal
Warehouse
Modeled tables your data team can join anything to
?BigQueryBI & finance
Boardroom dashboards built on the same numbers
LookerTableauMetabase
AI & agents
Claude, ChatGPT, and Cursor answer with live data
One attribution model. Pushed wherever your team makes decisions, without spreadsheets, screenshots, or stale CSV exports.
What you can do with the data
One attribution model.
Every team's favorite tool.
Salesforce opportunities with the story baked in
Influenced campaigns, channel weights, and downstream revenue land on the opportunity itself. Sales leadership and RevOps stop arguing over which channel deserves credit because the data is already on the record.
Warehouse-grade attribution tables
Your data team gets a clean cometly.attribution table in Snowflake, BigQuery, or Redshift with visitor, channel, campaign, MRR, and LTV, ready to join against product usage, support, and finance data without bespoke ETL.
Boardroom dashboards everyone agrees on
Finance, leadership, and growth see the same payback, CAC, and channel mix in Looker, Tableau, Metabase, or whatever BI tool you already use. One source of revenue truth, zero spreadsheet reconciliation.
Plug into anything with webhooks and API
Pipedrive, Klaviyo, Customer.io, GoHighLevel, ClickFunnels, or an internal app: Cometly fires structured events and exposes a clean REST API so any system can consume attribution on the cadence you want.
AI agents that answer with real numbers
Claude, ChatGPT, and Cursor query Cometly live through MCP, so when someone asks why MRR moved or which campaign drove pipeline, the answer comes from the same attribution graph your dashboards use, not a stale CSV.
Built for your stack
Every operational system, fed from one source.
Cometly is the source of attribution truth, and it gives every downstream tool a clean way to read that truth in, on the cadence your team needs.
Downstream destinations
Streaming attribution- LiveHubSpotAttribution on contacts, deals, and workflows
- LiveSalesforceInfluenced campaigns + revenue on every opportunity
- ?LiveSnowflake, BigQuery, RedshiftModeled attribution tables for your data team
- LiveLooker, Tableau, MetabaseChannel mix, payback, and CAC for finance and the board
LivePipedrive, Klaviyo, Customer.io, GoHighLevelWebhooks + REST API for everything else- LiveClaude, ChatGPT, CursorMCP server · live attribution queries (public beta)
One attribution model, pushed wherever your team makes decisions
FAQ
Getting Cometly data into your stack: what teams ask.
Where data lands, how fresh it is, and how to wire up tools we don't list. Book a demo and we'll map it against your stack.
Talk to salesWhich systems can Cometly send data to?
The most-used destinations are HubSpot, Salesforce, Snowflake, BigQuery, Redshift, and any BI tool that reads from those. Beyond that, anything with an HTTP endpoint can subscribe, including Pipedrive, Klaviyo, Customer.io, GoHighLevel, ClickFunnels, and internal apps, through webhooks against Cometly's public events API or by pulling from the REST API on a schedule your team owns.
What attribution data actually shows up on a CRM record?
First-touch and last-touch source, attributed pipeline, influenced campaigns and weights, touch count, channel mix, and LTV / payback windows. Your team picks which fields land on the contact, deal, or opportunity, and the field set can differ by object so reps and RevOps each see what's useful to them.
How fast does data land downstream?
CRM and webhook destinations update in seconds as events fire. Warehouse refreshes are owned by your data team; most run hourly or daily through our public API or scheduled exports, so cadence stays in your hands instead of being gated behind a vendor scheduler. CSV / Excel export is available for one-off pulls or backfills.
Can I sync to a tool you don't natively support?
Yes. Anything that can receive a webhook or call a REST API can consume Cometly data, including Pipedrive, Zoho, Klaviyo, Customer.io, Calendly, OnceHub, GoHighLevel, ClickFunnels, and dozens more. Most setups take under an hour with a single CRM workflow or Zap on the receiving side.
How do I write Cometly fields into a CRM contact property?
Use the CRM's native workflow tools (HubSpot workflows, Salesforce flows / Apex, etc.) pointed at Cometly's public API to update the property. We have customers running this in production today, and it's the most common pattern teams use to keep contact records enriched without custom infrastructure.
Does this replace our warehouse pipeline or sit next to it?
It sits next to it. Cometly gives your data team a modeled attribution table they can join against product, support, and finance data in the warehouse, with no need to rebuild touch stitching, identity resolution, or revenue attribution from raw clickstream.
Same attribution.
Every team's favorite tool.
Push Cometly's attributed pipeline, revenue, and journey data into the CRM, warehouse, BI tool, and AI agents your team already runs on, with one source of truth everywhere people look.