Most teams already have a Salesforce report graveyard: dozens of filters, countless folders, yet nobody fully trusts the numbers. Joined reports quietly fix a big part of that. They let you pull accounts, opportunities, and cases into one lens, even when those objects do not share a simple report type. Instead of bouncing between three tabs before a renewal call, your rep lands on a single report grouped by account name and instantly sees open deals, open cases, and history.
When you push that clarity into Google Sheets, it becomes the language of the whole go-to-market team. RevOps can add targets, marketing can annotate campaigns, leaders can create lightweight scorecards – all fed from the same underlying joined report.
Now layer in an AI computer agent and the story changes again. Instead of humans rebuilding filters every quarter or exporting CSVs every Monday, the agent logs into Salesforce, refreshes the joined report, exports or copies it into Google Sheets, re-applies your formulas, and shares links with stakeholders. You keep the strategic conversations; the agent handles the drudgery of clicks, tabs, and copy‑paste at machine speed.
Before you automate anything, you need to understand how joined reports work in native Salesforce.
Salesforce’s official guide walks through this pattern with screenshots: https://help.salesforce.com/s/articleView?id=analytics.reports_working_with_joined.htm&type=5 and the Trailhead module here: https://trailhead.salesforce.com/content/learn/modules/joined-reports-quick-look
Now you have three blocks: Accounts, related Cases, and related Opportunities. They share Accounts as the common key.
Refer to the step-by-step examples on Salesforce Ben if you prefer a narrative walkthrough: https://www.salesforceben.com/creating-joined-reports-in-lightning/
You have a joined report, but most teams still do the last mile manually:
It works, but you are rebuilding this every week or every meeting.
Once you understand the basics, you can remove some repetitive exports with no-code tools.
Several marketplace add-ons and integration tools can pull Salesforce report data into Sheets on a schedule.
A common pattern:
Hot Accounts – Joined.Raw_Salesforce_Joined).Official Google Sheets docs on connected data and functions like IMPORTRANGE are here: https://support.google.com/docs/answer/3093340
If your stakeholders are comfortable in Salesforce, you can skip Sheets entirely for some scenarios:
This keeps teams closer to the source of truth, but it does not help if you need Sheets-based models, ad‑hoc analysis, or campaign-level annotations.
If you still export manually but want more resilience:
Export_Staging where you always import the latest CSV.Model that uses formulas like VLOOKUP, FILTER, and QUERY to reference Export_Staging.Google’s QUERY documentation is invaluable when modeling Salesforce data at scale: https://support.google.com/docs/answer/3093343
No-code tools help, but they still live in their own silos. An AI computer agent like Simular Pro can operate your actual desktop and browser, chaining thousands of steps reliably across Salesforce and Google Sheets.
With Simular Pro, you can:
Pros:
Cons:
Learn more about how Simular Pro automates long, multi-step workflows here: https://www.simular.ai/simular-pro
Beyond a single report, you can delegate an entire weekly revenue ritual:
Pros:
Cons:
The sweet spot for business owners, agencies, sales, and marketers is a hybrid model:
This is where you stop being the person who runs reports and become the person who designs revenue workflows.
Start by deciding which objects you genuinely need to see side by side. A classic pattern is Accounts, Opportunities, and Cases. In Salesforce, go to the Reports tab and click New Report. Choose Accounts as your principal report type and click Continue. In the report builder, open the Report dropdown and switch the format to Joined Report, then Apply.
Now click Add Block and choose Cases as the second report type. Repeat Add Block and choose Opportunities as the third. Make sure both Cases and Opportunities share a relationship to Accounts, otherwise the joined view will not work. Add filters for each block (for example, hot accounts in the Accounts block, open cases in the Cases block, open pipeline in the Opportunities block). Finally, drag Account Name into the Group Rows area so everything is aligned per account, and save your new joined report. Salesforce’s official reference is here: https://help.salesforce.com/s/articleView?id=analytics.reports_working_with_joined.htm&type=5
The principal report type controls how shared fields are labeled and how your data is anchored, so choose the object that matches the question you are answering. If your primary question is “Which customers are at risk?”, Accounts is usually the best principal type because both Cases and Opportunities roll up to it. Go to Reports → New Report and select Accounts as the starting point.
If your question is more pipeline-focused, for example “Where is revenue stuck and why?”, you could start with Opportunities instead, then add Cases or Activities as additional blocks. Always ask: what record do I want one row per group for? That is your principal type. Salesforce explains this concept in the Trailhead module on joined reports: https://trailhead.salesforce.com/content/learn/modules/joined-reports-quick-look
There are three main options. First, the manual export: run the joined report, click Export, download as CSV, then in Google Sheets go to File → Import and upload the file, inserting it into a new sheet. This is fine for ad-hoc work but painful for recurring meetings.
Second, use a no-code Salesforce → Sheets connector from the Google Workspace Marketplace. Save your joined report with a stable name in Salesforce. In Sheets, install the connector, authenticate to Salesforce, select the report, and configure a refresh schedule. Map the output into a raw data tab, then build models on top. Google’s help on external data functions like IMPORTRANGE is here: https://support.google.com/docs/answer/3093340
Third, delegate the whole process to an AI agent such as Simular Pro that can operate the browser, export the report, and push data to Sheets for you.
When data seems to be missing, assume filters and relationships before you assume a Salesforce bug. First, check the base report filter on the principal object (for example, Accounts). If the parent record is filtered out there, nothing from related objects will appear, even if those records exist. Next, inspect each block’s filters individually; joined reports allow different criteria per block, which can accidentally wipe out entire sections.
Verify that the objects you are joining share a relationship. For example, Opportunities and Cases both link to Accounts, so they can be combined around Account Name. You cannot join completely unrelated objects. Group by the shared field (such as Account Name) to confirm alignment. If you are still stuck, temporarily remove all filters in each block and slowly add them back to see exactly when data disappears. Salesforce’s joined report guide has more nuance on this: https://help.salesforce.com/s/articleView?id=analytics.reports_working_with_joined.htm&type=5
Manually cloning and tweaking the same report for every region or segment quickly becomes unmanageable. A better pattern starts with a single, well-designed master joined report. Use relative date filters (this quarter, last 30 days) instead of hard-coded ranges so it remains reusable. Then, for each region or team, either: (1) apply dynamic filters based on the viewer’s role, or (2) clone the report once and change only the region filter.
To truly scale, introduce automation. With a Salesforce-to-Sheets connector or an AI agent like Simular Pro, you can run the same master joined report with different filter values (region, segment, product line), export results into separate Google Sheets tabs, and share those links automatically with each team. This keeps the logic centralized while delivering tailored views at scale, eliminating dozens of fragile, manually maintained copies.