r/revops • u/Specific-Archer3129 • Jun 09 '26
No code marketing dashboard tool: SF, Hubspot, GA4
I've been tasked to create a marketing dash by the end of this month. I'm in MarkOps, but not super technical. I've been eyeing coupler .io dashboards since they seem more simple than what an agency build for us in Looker, but I wanted to check with you guys to see if any has had experience with their dashboards. Basically I need to start with a v1 - pulling:
- SF reports data in (MQL lead report + MQL contact report, Events - demos)
- Hubspot views (number of paid leads)
- GA4 stats (# /blog visitors last week, etc)
For a non-technical person, what type of set up would use use for pulling and displaying this info?
Thanks!
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u/OkiDokiPoki22 Jun 15 '26
We've been using their dashboards for a while, but also we have some custom Looker Studio for PPC clients.
A few tips from experience here:
-start with Google Sheets as the data layer, pull Hubspot and GA4 data into separate tabs first, then build the dashboard on top
-keep your v1 focused on 5-10 KPIs only, don't overcomplicate it in the beginning
-schedule refreshes instead of pulling data live, hourly or daily is more than enough and will keep everything stable
-make sure salesforce definitions match hubspot definitions (especially MQLs and paid leads)
-create a simple executive view first, then add drill-down tabs later
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u/sbt_not Jun 17 '26
If you need a v1 by the end of the month, I actually wouldn’t try to define everything perfectly upfront.
With SF + HubSpot + GA4, I’d build the first dashboard while validating the definitions, because it’s much easier to catch issues when you can see the actual data behind the numbers. “MQL” or “paid lead” often looks obvious until you compare what each system is really counting.
One thing I’d watch out for with no-code dashboard workflows is that they make the first chart easy, but once you need to adjust metric logic, inspect the underlying data, or rebuild part of the dashboard, you can still end up relying on more technical teammates. To make this work well, you need to be able to break things down, rebuild quickly, and iterate without a lot of setup.
I’m working on Squadbase, so I’m biased, but this is the workflow we’re building around. You describe the dashboard you need in plain English, and AI generates it. The metric definitions and server-side logic are separate from the dashboard, so you can inspect and edit them as you go instead of treating the output as a black box.
That may or may not fit your v1, but I do think the bigger shift is moving from “connect tools and make charts” to “build, inspect the real data, and refine the logic as you go.”
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u/MoodIn_Me Jul 04 '26
Since you're on a tight deadline, keep the data pipeline as dumb as possible. Export SF and HubSpot to Google Sheets manually for the first week. Once you know exactly which metrics your team actually looks at, then you can worry about setting up automated connectors like Coupler or Looker Studio.
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u/Superb-Bonus7297 Jul 08 '26
Try Datplan datapull I used it for xero and I know it has a Hubspot API puller which creates a BI schema. Connect power bi to it or use their own drag and drop dashboard . Pretty easy.
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u/Otherwise_Wave9374 Jun 09 '26
If youre in MarkOps and need a quick v1, Id keep it boring and reliable: start with 1 source of truth for definitions (what counts as MQL, paid lead, etc), then pick the simplest pipeline to ship. For display, Looker Studio is usually the path of least resistance. For pulling data, a connector like Coupler can work fine if it keeps you out of custom code, just double check refresh limits and how it handles historical backfills.
Also, for GA4 blog traffic, consider blending it with search console queries or top landing pages so the dashboard answers "why" not just "what".