Name your channels to compare and get a conversion funnel analysis across paid, organic, and direct traffic with multi-channel attribution data in one report.
Name the website and the channels to compare. The flow returns a report with side-by-side funnels, device splits per channel, campaign-level breakdowns for paid traffic, and a strategic verdict on where each channel wins and where it leaks.
After the channel comparison identifies paid search as the underperformer, this step goes one level deeper to find which specific campaigns and ad groups are pulling the average down. Enter the channel from Step 1 with the worst conversion metrics, and get a campaign-level breakdown with cost per conversion for each campaign. Use the output to decide exactly where to cut spend and where to scale.
Different channels send traffic to different pages, and the same URL can produce very different conversion rates depending on whether the visitor arrived from a Google Ad or a blog post. This step shows the top landing pages for each channel side by side with sessions, bounce rate, and conversion rate per page. The Flow flags any page with high traffic and near-zero conversions so the team knows where to investigate first.
The previous steps identified which channels convert and which ones waste spend. This step turns those findings into a specific budget reallocation plan with dollar amounts, expected impact, and a clear rationale for each shift. The plan also includes landing page changes recommended for paid traffic, so it covers both where the budget should go and what needs to change on the page when it gets there.
A channel that appears to underperform overall might have a mobile-specific problem rather than a channel-wide one. This step adds a device layer to the channel comparison, showing mobile versus desktop performance for each channel and flagging where the device gap is largest. A channel with strong desktop performance and poor mobile numbers points to a mobile landing page issue, not a targeting problem.
Teams build one Juma project per client and add context over time. Every flow the team runs for that client pulls from the same project. If a project already exists, adding channel performance context means each comparison starts from the client's own targets and campaign history.
Add a short description to each knowledge item in the project's info field so Juma knows what each file contains and when to use it. For example:
This Flow saves two to three hours per comparison. Manual channel comparisons require separate exports from GA4, Google Ads, and Google Search Console, date alignment across platforms, and manual formatting into one view. The Flow runs all three in one step and returns a formatted PDF with side-by-side funnels, device splits, and budget recommendations in minutes.
Each platform uses different attribution windows, different default metrics, and different date range defaults, so aligning them manually introduces errors as often as it saves time. A comparison that should take 30 minutes of analysis typically takes two to three hours once exports, reformatting, and cross-checking are accounted for.
For teams running this comparison regularly, the time saving compounds. A monthly channel review that previously required an afternoon becomes a ten-minute task. The consistency of the output means the team can track changes across reports without reformatting the data each time a comparison runs.
The conversion funnel analysis covers sessions, engagement rate, bounce rate, and conversion rate for each traffic channel at every funnel stage. Paid traffic also gets a campaign-level breakdown and a landing page comparison. The side-by-side view shows whether paid search and organic traffic drop off at the same stage or at different ones.
For paid traffic, the campaign-level breakdown shows which campaigns earn their budget and which ones produce no conversions at all. That level of detail is not visible in a channel-level view, but it is often where the largest efficiency gains sit. A channel that looks like it underperforms might have two campaigns dragging the average down while three others perform well.
The landing page comparison shows which pages each channel routes traffic to and how those pages convert. The same product page can produce a 5x conversion rate difference depending on whether the visitor arrived from a Google Ad or an organic search result.
The analysis pulls from the three sources that sit at the core of marketing channel attribution: Google Analytics (GA4), Google Ads, and Google Search Console. GA4 provides funnel and behavioral data, Google Ads adds spend and campaign metrics, and Search Console adds organic keyword performance. All three can connect live, or you can upload CSV exports and screenshots from each platform instead.
These are the same data sources that multi channel attribution tools rely on to measure how each channel contributes to conversions. Live connections pull current data in one step without manual exports, and the comparison can run again at any time without re-uploading files.
If you have not connected those accounts yet, uploading CSV exports or screenshots from each platform works too. The comparison runs from whatever data is available. Live connections are faster to repeat and add cost data automatically, but the analysis does not require live integrations to produce a complete channel comparison.
Yes. This Flow works without live analytics connections. Uploading CSV exports or screenshots from GA4, Google Ads, and Google Search Console gives it enough data to build a full channel comparison. Live connections make the analysis faster to repeat and add cost data automatically, but connected accounts are not required to run the Flow.
For teams that have data across multiple platforms but have not connected those accounts to Juma yet, the upload path covers most use cases. GA4 exports include sessions, engagement, and conversion data. Google Ads exports include spend, impressions, clicks, and conversions by campaign. Uploading both gives the website funnel analysis the cost and behavioral data it needs for a complete comparison.
After connecting Google Analytics, Google Ads, and Google Search Console, the team can run the comparison again at any time without exporting and re-uploading files. For teams that run this comparison monthly, that repeatability is where live connections pay off most.
