Pageviews are easy to report and surprisingly weak as a measure of content performance. A page can attract thousands of visits, hold attention for a few seconds, contribute to several buying journeys, and still appear more successful than a smaller article that quietly influences high-value leads.
That is the problem with shallow content reporting. It counts activity without explaining value.
A stronger GA4 content performance measurement framework connects engagement quality, assisted conversions, keyword visibility, internal-link movement, commercial intent, and revenue contribution. It also helps you identify keyword cannibalisation, where several pages compete for similar search terms and split authority across the site.
SEO Letters supports this wider process by helping you research topics, map topical authority, create structured articles, add internal links, publish at scale, and monitor the performance of the content you put live. You can explore the platform at app.seoletters.com and use it as the operating layer between your SEO strategy and your published website.
Why Pageviews Are Not Enough for Content ROI Measurement
Pageviews answer one basic question:
How many times was this page loaded?
That number has a place in reporting, but it does not tell you whether the visitor read the article, trusted the business, moved towards a product page, joined an email list, requested a quotation, or returned later through another channel.
A high pageview count can be caused by:
- A broad keyword with weak commercial relevance
- A page ranking for an unintended query
- Internal navigation loops
- Bot or low-quality traffic
- A seasonal spike
- One article unintentionally cannibalising another
- A useful informational page that attracts visitors but sends none towards a business outcome
Pageviews are not useless. They are simply incomplete.
When you evaluate content ROI, you need to separate reach from quality, then connect both to commercial behaviour. A useful reporting model looks at five layers:
| Measurement layer | Main question | Typical GA4 or SEO data |
|---|---|---|
| Visibility | Can people find the page? | Impressions, clicks, rankings, indexed status |
| Acquisition | Where are visitors coming from? | Organic sessions, landing pages, campaigns |
| Engagement | Do visitors meaningfully interact? | Engaged sessions, engagement rate, scrolls, clicks |
| Influence | Does the page support later actions? | Conversion paths, returning users, assisted contribution |
| Business impact | Does content create measurable value? | Leads, sales, pipeline, revenue, customer value |
This whole thing matters because SEO often creates value over several sessions. A visitor may first read a guide, return through branded search, download a resource, speak to sales, and purchase two weeks later. If you only credit the final session, you understate the commercial role of the original article.
How GA4 Measures Content Engagement
GA4 provides more useful engagement signals than a simple bounce rate report, although the data still needs interpretation. Its standard engagement model is based on engaged sessions, which generally include sessions lasting longer than 10 seconds, sessions with a key event, or sessions involving two or more page or screen views.
The standard engagement rate is calculated as:
Engagement rate = Engaged sessions ÷ Total sessions
The inverse is the bounce rate:
Bounce rate = Non-engaged sessions ÷ Total sessions
These metrics should not be treated as direct proof that someone carefully read a page. A visitor can leave after finding the exact answer they need, which may still represent a successful interaction. On the other hand, a long session can reflect confusion, poor navigation, or an open browser tab.
Use GA4 engagement metrics as evidence, not as a final verdict.
Key GA4 content metrics to monitor
Engaged sessions
Engaged sessions offer a better starting point than raw sessions because they indicate some level of meaningful activity. Compare this metric by:
- Landing page
- Organic search query group
- Device type
- Country
- New versus returning users
- Content cluster
- Conversion status
- Keyword intent
An article with fewer sessions but a much higher engaged-session rate may deserve more investment than a high-traffic page attracting weak-fit users.
Engagement rate
Engagement rate can help you find content that attracts the right audience and gives them a reason to stay. It becomes more useful when segmented.
For example:
| Page type | Sessions | Engagement rate | Interpretation |
|---|---|---|---|
| Broad industry guide | 12,000 | 48% | Strong reach, mixed audience quality |
| Product comparison | 3,200 | 71% | Better intent and stronger interaction |
| Service landing page | 1,100 | 64% | Lower reach but potentially high business value |
| Thin glossary article | 8,500 | 29% | Traffic may be poorly matched or cannibalised |
The comparison page may be the better commercial asset even though it attracts only a fraction of the guide’s traffic.
Average engagement time
Average engagement time can suggest whether the page is being consumed, but it needs context. A 90-second average might be strong for a short answer page and weak for a 2,500-word technical guide.
Benchmark it against:
- Word count
- Search intent
- Page format
- Competitor content depth
- Internal-link opportunities
- Scroll depth
- Key event completion
- Conversion rate
Do not set an arbitrary target such as “every page must exceed two minutes”. That can encourage unnecessary length. The aim is to satisfy intent efficiently.
Scrolls and content depth
GA4 can record scroll events, but the default scroll measurement generally captures a single threshold rather than a detailed reading journey. If you want more useful analysis, configure events for milestones such as:
- 25% scroll
- 50% scroll
- 75% scroll
- 90% scroll
- Table of contents click
- Internal-link click
- CTA visibility
- Form start
- Form completion
Custom tracking should be implemented carefully. Too many events can create noisy reports and increase maintenance work.
Internal-link clicks
Internal-link clicks are particularly useful for SEO content performance measurement because they reveal whether an article is moving visitors into the wider site.
Track clicks to:
- Product pages
- Service pages
- Category pages
- Related guides
- Pricing pages
- Contact forms
- Demonstration pages
- Comparison pages
A page with modest conversion volume but strong internal-link-assisted behaviour may be an important part of your topical funnel. This is where content clusters created through SEO Letters can become easier to evaluate, because you can compare the performance of individual articles with the movement they generate across the cluster.
Build a GA4 Content Measurement Framework
A reliable framework starts before publication. If you create content first and decide how to measure it later, the reporting usually becomes patchy and overly dependent on whatever GA4 happens to collect by default.
Use this five-step process.
Step 1: Define the commercial role of each page
Every content asset should have a job. Some pages create awareness. Others support evaluation, answer objections, attract links, or convert existing demand.
Classify pages using a role such as:
| Content role | Typical intent | Primary success signal |
|---|---|---|
| Awareness guide | Informational | Qualified organic engagement |
| Problem education page | Informational-commercial | Internal-link progression |
| Comparison article | Commercial investigation | Product or service clicks |
| Case study | Commercial | Enquiry or assisted conversion |
| Product-led guide | Transactional support | Add-to-cart, demo, or lead event |
| Refresh article | Existing demand capture | Improved rankings and conversion efficiency |
This prevents you from judging every article by the same standard. A glossary page and a comparison page should not have identical KPIs.
Step 2: Create a consistent naming structure
GA4 reporting becomes much harder when URLs, page titles, and campaign labels are inconsistent. Use a naming system that allows pages to be grouped by:
- Topic cluster
- Funnel stage
- Target audience
- Primary keyword
- Content format
- Publication date
- Refresh date
- Commercial category
A useful spreadsheet or database might include:
| Field | Example |
|---|---|
| URL | /ga4-content-performance/ |
| Primary keyword | GA4 content performance |
| Search intent | Informational-commercial |
| Cluster | Content ROI measurement |
| Supporting terms | assisted conversions, engagement rate |
| Funnel role | Evaluation |
| Main CTA | Start a content workflow |
| Key event | Demo request |
| Publication date | 12 March 2025 |
| Refresh date | 12 September 2025 |
| Cannibalisation risk | Medium |
SEO Letters can help you build structured content plans around topic clusters, rather than producing isolated articles that compete with one another. That distinction matters when your site has several pages targeting similar terms.
Step 3: Define key events that reflect business value
GA4 uses key events to identify actions that matter to your organisation. Depending on your model, you might track:
- Contact form submission
- Demo request
- Quote request
- Newsletter subscription
- Account creation
- Product trial
- Purchase
- Add to basket
- Outbound click to a booking system
- Download of a high-value resource
- Phone number click
Not every interaction should be a key event. If you mark every scroll and outbound click as a conversion, your reports become inflated and difficult to trust.
Separate events into three groups:
- Engagement events: scroll depth, video progress, internal-link clicks
- Micro-conversions: downloads, email subscriptions, account registrations
- Primary conversions: sales, qualified leads, booked consultations
This structure allows you to analyse the pathway without pretending every action has equal commercial weight.
Step 4: Link content to conversion paths
GA4 attribution reporting can show how users interact with different channels before a key event. Look at:
- First user source or medium
- Session source or medium
- User acquisition
- Traffic acquisition
- Landing page
- Conversion paths
- Time lag
- Number of touchpoints
- Model comparison
GA4 does not present assisted conversions in exactly the same way as older Universal Analytics reports did. In practice, you can analyse assisted contribution through conversion paths and attribution models, then identify content pages appearing earlier in journeys that end with a conversion.
That distinction is important. Avoid saying that an article “generated zero conversions” simply because it was not the final page before submission.
Step 5: Set a reporting window that reflects the sales cycle
A seven-day window may be enough for an ecommerce site selling low-cost products. It may be meaningless for a B2B organisation with a 90-day sales process.
Set reporting windows based on:
- Average conversion delay
- Typical number of sessions before conversion
- Sales cycle length
- Product price
- Lead qualification process
- Repeat purchase behaviour
- Seasonality
Use monthly reporting for trend direction, then quarterly reviews for strategic decisions. Weekly checks are useful for technical issues and major traffic changes, but they can produce overreaction when conversion volume is low.
Measuring Assisted Conversions in GA4
Assisted conversion analysis asks a more useful question than “which page got the last click?”
It asks:
Which content helped move a user towards a valuable action, even if another channel or page received the final credit?
A typical journey might look like this:
- A visitor discovers an SEO Letters article through organic search.
- They read a guide about content planning.
- They click into a product page.
- They leave without converting.
- They return through a branded search three days later.
- They request a demonstration.
- Sales qualifies the lead.
The branded search or product page might receive direct or last-touch credit. The original guide still influenced the decision.
How to identify content-assisted behaviour
Start with the GA4 Advertising workspace and examine attribution reports such as conversion paths and model comparison. Depending on your property setup, you may need to navigate through the relevant attribution reporting area and select the key event you want to study.
Then supplement the report with explorations:
- Filter sessions that viewed a target article
- Compare users who viewed the article with those who did not
- Measure later key-event completion
- Review the time between article view and conversion
- Segment by acquisition source
- Compare first-touch and last-touch patterns
- Analyse returning-user behaviour
GA4 attribution is not a perfect causal model. It is an allocation system based on available data. Treat the results as directional evidence and combine them with CRM data, assisted pipeline reporting, user research, and sales feedback.
A practical assisted contribution score
You can create a simple internal score to prioritise content analysis:
Assisted contribution score =
Qualified conversions after content view
× lead or order value
× attribution weight
For example:
| Metric | Example |
|---|---|
| Qualified leads after article view | 18 |
| Estimated value per qualified lead | £450 |
| Internal attribution weight | 0.25 |
| Assisted contribution score | £2,025 |
The 25% weight is not a universal truth. It is a working assumption. Your team should test different models and compare the results with actual sales outcomes.
A more conservative method is to report assisted content in a separate category:
- Directly converted after viewing
- Appeared earlier in a conversion path
- Influenced a returning user
- Supported a lead later closed by sales
This makes your reporting easier to explain to stakeholders.
Avoiding Keyword Cannibalisation in Content Performance Reports
Keyword cannibalisation occurs when multiple pages target the same or closely related search intent and compete for visibility. It is not always a technical penalty, but it can create unstable rankings, diluted internal links, conflicting relevance signals, and confusing user journeys.
Content performance measurement can help identify it.
Cannibalisation warning signs
Look for these patterns:
- Two or more URLs ranking for the same primary keyword
- Rankings switching between URLs from week to week
- Impressions spread across several pages with no clear winner
- Similar page titles and meta descriptions
- Nearly identical search intent
- Low click-through rates across all competing pages
- Internal links pointing to different pages for the same topic
- One page attracting traffic while another receives conversions
- High impressions but weak engagement on a page ranking for the wrong intent
- Organic landing sessions distributed across multiple URLs
Search Console is usually the primary source for query-to-URL analysis. GA4 then shows what visitors do after arriving on each URL.
A cannibalisation analysis table
| Query cluster | URL A | URL B | Engagement pattern | Recommended action |
|---|---|---|---|---|
| Content ROI measurement | General guide | GA4 measurement guide | URL B has stronger engagement | Make URL B the specific intent page |
| Blog writing software | Product page | Review article | Article attracts awareness, product converts | Keep both, strengthen internal links |
| SEO content workflow | Old guide | New cluster page | Rankings alternate | Consolidate or clearly separate intent |
| Assisted conversions SEO | Short article | Comprehensive guide | Long guide supports more key events | Redirect or repurpose short article |
Do not merge pages simply because they share a word. The real issue is overlapping intent.
For instance, these topics may be distinct:
- What is keyword cannibalisation?
- How to fix keyword cannibalisation
- Keyword cannibalisation audit template
- SEO content planning software for avoiding cannibalisation
Their audiences and desired outcomes differ. A clear topical architecture can allow each page to rank without creating unnecessary competition.
How SEO Letters can reduce cannibalisation risk
A structured content workflow should identify:
- The primary keyword for each page
- Supporting terms
- Search intent
- Parent topic
- Related pages
- Internal-link destination
- Content format
- Differentiation angle
- Refresh or consolidation requirement
SEO Letters is designed for this type of publishing operation. Its keyword research, difficulty ratings, topical authority clusters, site-gap analysis, and internal-link support can help you plan content before you create another page targeting a similar term.
The tool is especially useful when you publish frequently. High output without a content map can create a crowded site where several articles are all vaguely about the same thing.
Build a Content ROI Dashboard
A content ROI dashboard should connect marketing activity with business outcomes. It does not need to show every available metric. It needs to show the metrics that support decisions.
Recommended dashboard sections
1. Visibility and acquisition
Track:
- Organic users
- Organic sessions
- Search impressions
- Search clicks
- Average position
- Click-through rate
- New users
- Returning users
- Landing pages
- Branded versus non-branded traffic
2. Engagement quality
Track:
- Engagement rate
- Average engagement time
- Engaged sessions per user
- Scroll milestone completion
- Internal-link click rate
- CTA interaction rate
- Exit rate by page role
- Return visits within 30 days
3. Conversion performance
Track:
- Key events
- Conversion rate
- Leads by content entry page
- Revenue by landing page
- Assisted conversion paths
- Time to conversion
- Conversion value
- Sales-qualified leads
- Customer acquisition cost where available
4. SEO efficiency
Track:
- Rankings by intent group
- Number of ranking URLs per keyword
- Cannibalisation incidents
- Indexed pages
- Backlinks and referring domains
- Internal links to priority pages
- Content decay
- Refresh uplift
- Cost per qualified organic session
A performance dashboard from SEO Letters can support the publishing side of this view by helping you monitor the content you create and maintain. GA4 remains valuable for behavioural and conversion data, while Search Console and CRM systems add search and revenue context.
Useful content ROI formulas
Organic content conversion rate
Organic content conversion rate =
Organic key events ÷ Organic sessions × 100
Revenue per organic session
Revenue per organic session =
Organic revenue ÷ Organic sessions
Cost per qualified organic lead
Cost per qualified organic lead =
Content production and promotion cost ÷ Qualified organic leads
Content-assisted pipeline value
Content-assisted pipeline value =
Qualified opportunities influenced by content × average opportunity value
Refresh return on investment
Refresh ROI =
Additional gross profit from refreshed content
− refresh cost
÷ refresh cost
Keep the calculation period consistent. A refreshed article may need several weeks or months before the effect is visible, particularly in competitive search results.
Example: Measuring a Content Cluster Instead of One Page
Imagine a software company publishes a cluster around content ROI measurement. The cluster includes:
- A guide to GA4 content performance
- An article about assisted conversions
- A page explaining SEO content ROI
- A keyword cannibalisation troubleshooting guide
- A product page for automated content publishing
- A case study about increasing qualified organic leads
The first article attracts the most traffic. The product page generates the most direct conversions. The case study appears in a meaningful number of conversion paths.
A page-by-page report might conclude that the traffic article is weak and the product page is strong. A cluster report reveals more:
| Asset | Organic sessions | Key events | Assisted paths | Internal-link clicks |
|---|---|---|---|---|
| GA4 content guide | 7,800 | 14 | 62 | 1,140 |
| Assisted conversions article | 3,400 | 9 | 48 | 520 |
| SEO content ROI page | 2,100 | 17 | 39 | 410 |
| Cannibalisation guide | 2,900 | 6 | 31 | 680 |
| Product page | 1,350 | 42 | 21 | 290 |
| Case study | 850 | 19 | 27 | 180 |
The guide is doing more than attracting traffic. It is introducing people to the cluster and sending them towards commercial pages.
This is why content measurement should include network effects. A page may not convert in isolation, yet still be valuable because it helps the site explain a topic thoroughly and gives users a clear route towards a solution.
How to Improve Underperforming Content
Once GA4 and Search Console show where the weakness sits, choose an intervention based on the evidence.
If traffic is high but engagement is weak
Investigate:
- Search intent mismatch
- Weak introduction
- Slow page load
- Mobile usability issues
- Poor content formatting
- Title promising something the page does not deliver
- Irrelevant queries creating accidental traffic
- Excessive pop-ups or intrusive interstitials
Actions may include:
- Rewrite the opening section
- Match headings to real search questions
- Add concise answers near the top
- Improve page speed
- Add relevant examples
- Remove outdated sections
- Refine the title and meta description
- Strengthen intent-specific internal links
If engagement is strong but conversions are weak
The page may be useful but commercially disconnected.
Review:
- CTA relevance
- CTA placement
- Offer clarity
- Link destination
- Product-market fit
- Lead form friction
- Content-to-product transition
- Trust signals and evidence
A technical guide should not abruptly push a generic sales message. Link it to the next logical step, such as a measurement template, audit service, relevant product feature, or guided demonstration.
If conversions are present but organic visibility is weak
This content may deserve promotion and optimisation.
Consider:
- Improving title and heading relevance
- Expanding topical coverage
- Adding original examples
- Building internal links from stronger pages
- Earning relevant links
- Updating statistics and screenshots
- Resolving indexation problems
- Consolidating competing pages
- Improving structured data where appropriate
SEO Letters can help create supporting articles and refresh campaigns around proven commercial topics, so your team is not relying only on one page to carry the entire demand pattern.
If several URLs rank for the same query
Run a cannibalisation review:
- Export the affected queries and URLs from Search Console.
- Compare each URL’s intent, engagement, and conversion performance.
- Select the page with the strongest strategic fit.
- Redirect, merge, or reposition competing pages where appropriate.
- Update internal links and anchor text.
- Adjust titles and headings to create clearer differentiation.
- Monitor ranking stability over the next reporting cycle.
Do not make changes based on a single day of data. Search results move around, and low-volume queries can produce misleading patterns.
A Repeatable Monthly Content Measurement Process
Use this process if you want a practical operating rhythm.
Week one: Audit the data
Review:
- Organic traffic by landing page
- Engagement rate by content role
- Key events and conversion value
- Top conversion paths
- Search queries with multiple ranking URLs
- Content that has lost clicks or conversions
- Articles published or refreshed during the previous period
Flag pages with meaningful changes, not every small fluctuation.
Week two: Analyse commercial influence
For priority articles, examine:
- Users who viewed the page before a key event
- Time lag between first view and conversion
- Subsequent page views
- Product or service interactions
- Assisted pipeline
- Returning user rate
- Lead quality from sales feedback
This is the part many content teams skip. It requires joining analytics with business information, but it is where the real insight usually sits.
Week three: Improve the content system
Choose actions such as:
- Refresh declining pages
- Consolidate overlapping pages
- Add missing internal links
- Improve conversion paths
- Create supporting cluster content
- Update calls to action
- Add first-hand examples
- Improve author and source information
- Fix technical SEO issues
SEO Letters can support the production schedule here, particularly when you need to refresh existing articles rather than continually publish new ones. Its autonomous campaign scheduler can research, write, and publish according to a set cadence and destination, while refresh campaigns help maintain pages that already have authority.
Week four: Report decisions and outcomes
A useful report should state:
- What changed
- Why it changed
- Which pages were affected
- What business outcome was influenced
- What action will happen next
- When the result will be reviewed
Avoid filling the report with disconnected numbers. Senior stakeholders usually need a clear interpretation of performance and a sensible next move.
Common GA4 Content Measurement Mistakes
Mistake 1: Treating time on page as reading quality
Time can be useful, but it is not proof of attention. Combine it with scroll milestones, interaction events, return visits, and downstream behaviour.
Mistake 2: Giving every conversion to the final page
Last-touch reporting is easy to understand, yet it can make educational content look ineffective. Review conversion paths and assisted influence before cutting pages that support demand creation.
Mistake 3: Marking every event as a key event
This creates inflated conversion rates and weakens trust in the dashboard. Keep primary business events separate from behavioural signals.
Mistake 4: Ignoring content cannibalisation
Traffic may appear healthy across the domain while important pages compete against each other. Check query-to-URL relationships, rankings, and internal-link patterns regularly.
Mistake 5: Publishing more instead of improving the system
More articles are not automatically more growth. If existing pages are decaying, overlapping, or failing to direct users towards commercial actions, another article can make the problem worse.
Mistake 6: Measuring before the data is mature
New content can take time to rank and generate conversions. Set a minimum evaluation period based on your market, authority, and sales cycle.
A Practical Measurement Scorecard
You can score each priority page from 1 to 5 across several categories.
| Category | 1 point | 3 points | 5 points |
|---|---|---|---|
| Organic visibility | No meaningful impressions | Stable impressions | Strong growth and relevant rankings |
| Engagement | Low engagement and weak interaction | Mixed behaviour | Strong engagement for the intent |
| Internal progression | Few onward clicks | Some relevant movement | Clear movement to commercial pages |
| Direct conversion | No key events | Occasional key events | Consistent qualified actions |
| Assisted influence | No visible path contribution | Appears in some paths | Regularly supports valuable journeys |
| Content health | Outdated or overlapping | Minor issues | Current, differentiated, well linked |
| Business value | No measurable impact | Emerging value | Clear pipeline or revenue contribution |
Use the score to prioritise work, not to create a false sense of precision. A page with a score of 24 is not automatically twice as valuable as one scoring 12.
Why SEO Letters Fits a Content ROI Measurement Strategy
SEO Letters is built for teams that need a repeatable publishing workflow rather than a standalone text generator. It takes a keyword or topic, helps research the opportunity, builds structured content, and supports the route from draft to published page.
The platform can support your wider measurement system through:
- Keyword research with difficulty ratings
- Topical authority cluster planning
- Competitor site-gap analysis
- Structured article generation
- Internal-link recommendations
- Schema and image support
- Brand-tuned writing
- Product-aware affiliate and store content
- Multi-language generation across 21 languages
- Publishing to WordPress, Shopify, or webhooks
- Autonomous campaign scheduling
- Content refresh campaigns
- Performance monitoring for published content
You still need a measurement strategy, clean analytics implementation, and sensible commercial definitions. Software cannot fix an unclear KPI. It can, though, remove much of the repetitive work between planning, writing, publishing, and maintaining a content programme.
If you are publishing at scale and still copying briefs between tools, manually chasing drafts, and forgetting which articles target which terms, open SEO Letters and build a more disciplined content operation.
Key Takeaways for GA4 Content Performance Measurement
Pageviews provide reach data. They do not provide a complete account of content value.
A stronger system should:
- Measure engaged sessions and engagement rate by content role
- Track meaningful internal-link and CTA interactions
- Define key events around genuine business outcomes
- Review conversion paths instead of relying only on last touch
- Estimate assisted content contribution with transparent assumptions
- Connect GA4 behaviour with Search Console query data
- Monitor keyword cannibalisation at URL and intent level
- Measure clusters, not just isolated pages
- Refresh pages that already hold authority
- Use revenue, pipeline, and lead quality wherever possible
- Report decisions and outcomes rather than disconnected metrics
The most useful question is not “How many people viewed this article?”
It is:
Did this content attract the right audience, help them progress, support a valuable conversion journey, and strengthen the wider search system?
That question changes how you plan topics, write articles, build internal links, and decide where to invest next.
Conclusion: Measure the Full Content Journey with SEO Letters
GA4 gives you the behavioural evidence needed to move beyond pageviews. Search Console shows how queries and URLs interact. CRM and sales data indicate whether content is influencing real business outcomes. Together, these sources can reveal which pages attract attention, which pages create trust, and which pages support revenue even when they are not the final touchpoint.
Keyword cannibalisation belongs in the same conversation. When several pages compete for similar intent, your performance data becomes harder to interpret and your authority may be spread too thinly. A clear content architecture, consistent internal linking, and regular consolidation or refresh work can improve both SEO visibility and measurement accuracy.
SEO Letters helps you manage the operational side of that process. It supports keyword research, topical planning, article production, internal linking, publishing, multilingual campaigns, and scheduled content refreshes, so your team can spend more time on strategy and less time moving content between disconnected systems.
If you’re ready to measure content as a business asset rather than a traffic counter, visit the SEO Letters application. For implementation questions, reporting requirements, or a more specific content workflow, use the rightbar as the contact path.
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