The Revenue tab shows which traffic sources actually generate revenue, so you can decide where your marketing effort is paying off.
Finding the report
Open your website's dashboard
Go to Domains, then select the website you want to look at.
Open the Revenue tab
In the sidebar, under Revenue, select the Revenue tab (or open
/domains/{id}?tab=revenuedirectly).
The tab brings together a few views on one page:
- A revenue-over-time chart with a period selector (7d, 30d, 90d, 1y, depending on your plan's viewing window).
- Revenue and conversion summary cards for the selected period.
- The Revenue by source breakdown table.
- Attribution analysis, where you can switch between attribution models.
Info
Revenue tracking has to be set up first. If the tab is empty, see Revenue tracking to connect your payment provider or send revenue events.
Revenue by source table
The breakdown table lists each traffic source with these columns:
| Column | Description |
|---|---|
| Source | The traffic source (organic search, direct, referral, a specific domain, etc.) |
| Visitors | Visitors attributed to that source in the period |
| Transactions | Number of completed purchases |
| Revenue | Total revenue from the source |
| Conversion | Share of visitors who converted |
| Revenue per Visitor | Revenue divided by visitors |
| AOV | Average order value (revenue divided by transactions) |
Click any column header to sort by it. Sources with no revenue in the period are left out.
Reading the channels
Organic search
Free traffic from search engines:
- No direct media cost
- Usually the highest-volume channel for content-led sites
- Rewards ongoing SEO and content work
Paid search
Google Ads, Microsoft Ads, and similar:
- Easy to scale up or down
- Worth comparing revenue per visitor against the bid cost you pay elsewhere
Newsletters and campaigns:
- Typically low cost relative to the revenue it drives
- Reaches an audience that already knows you
Social
Organic and paid social:
- Often more of an assist than a direct closer
- Good for brand awareness; compare platforms against each other
Direct
No referrer information. This bucket covers bookmarks, typed URLs, and some traffic where the referrer was stripped, so treat it as a rough brand-strength signal rather than a precise channel.
Referral
Links from other sites. Useful for seeing which partnerships and backlinks send paying visitors.
Attribution models
The Attribution analysis section lets you re-credit the same revenue under different models. Switching models changes how much each channel gets credited for a conversion that touched several sources along the way.
| Model | How it credits |
|---|---|
| Last touch | 100% to the final source before the conversion |
| First touch | 100% to the source that first brought the visitor in |
| Linear | Split evenly across every source in the path |
| Position-based | Weighted toward the first and last touch |
| Time decay | More credit to sources closer to the conversion |
Last touch is the default. Comparing models is the useful part:
- If a channel looks strong under first touch but weak under last touch, it is good at discovery but rarely closes on its own.
- If a channel looks strong only under last touch, it tends to close journeys that other channels started.
- Single-touch models (first/last) are the most reliable; multi-touch models need a meaningful touch history to be accurate.
Info
Attribution analysis is available on the in-app dashboard. It is not included in public share links, which show the chart, summary cards, and source breakdown only.
Using the data
A few practical reads:
| What you see | What to consider |
|---|---|
| High revenue per visitor on a channel | A strong candidate to invest more in |
| High visitors, low revenue | A conversion problem on that channel, not necessarily a traffic problem |
| Healthy first-touch but weak last-touch | Keep funding it for discovery, even if it rarely closes |
To compare against the cost side (ad spend, ROAS, CPA), you'll need to bring spend figures in from your ad platforms. Zenovay reports the revenue and conversion side; it does not import ad-spend or compute return-on-ad-spend for you.
Best practices
Tag your traffic
- Use UTM parameters consistently so paid and email traffic attribute correctly
- Keep naming conventions standard across campaigns
- Document what each channel definition means for your team
Look past last touch
- Review more than one attribution model before reallocating budget
- A channel that assists conversions can be undervalued by last touch alone
Review on a cadence
| Frequency | What to do |
|---|---|
| Weekly | Scan for sudden drops or spikes by source |
| Monthly | Compare channel performance and adjust effort |
| Quarterly | Step back for a strategic review |