Custom Analysis

Fictional example report for Sample & Sons.

Executive summary

Business question: Which page should Sample & Sons improve next to generate more qualified consultations? Prioritize a focused homepage experiment. It has the largest landing-page audience and a booking rate below the site average, while services supplies a useful model for explaining the offer. Start with audience and consultation clarity, preserve a direct accessible booking path, and evaluate quality as well as volume. This recommendation selects the most useful next test; it does not promise that the homepage can match a page serving visitors with different intent.

Business context

A fictional B2B consultancy helping growing service businesses improve operations and customer experience. The primary goal is qualified consultation bookings. The target audience is operations leaders at growing service businesses.

Evidence and findings

Finding 1

The homepage combines reach with a plausible conversion opportunity. It receives 4,800 of 12,000 landing sessions, or 40%, and produces 72 bookings at 1.5%. Services receives 3,200 sessions and 128 bookings at 4%; the case study receives 1,800 and 36 at 2%; contact receives 2,200 and 124 at about 5.6%. The contact page naturally attracts visitors closer to booking, so its rate is not a fair homepage target. The homepage is a sensible first experiment because it reaches many visitors earlier in their decision, when a clearer explanation may help.

Finding 2

Scenario arithmetic helps size the opportunity without turning it into a promise. At unchanged traffic, a homepage rate of 2% would correspond to 96 bookings, or 24 more than the current 72. Matching the site-wide 3% rate would correspond to 144, or 72 more. These are planning scenarios, not forecasts or measured test results. The saved data provides no qualification or deal-value rate, so neither scenario can be translated into revenue. Use them to decide whether the experiment merits effort, then judge the actual outcome.

Finding 3

The proposed change is about buyer understanding, not just a more forceful button. The current snapshot already includes 'Book a consultation,' an improvement on 'Learn more.' The next question is whether the surrounding message explains whom Sample & Sons helps, the operations problems it addresses, and what a prospect gets from the consultation. Services already converts at 4% and includes an FAQ, making it a useful source of answer structure. Keep the promise accurate: a booking does not itself guarantee an action plan, implementation, or business result unless those are truly included.

Finding 4

Performance is a supporting workstream rather than the test's explanation. Homepage mobile LCP is 2.6s, improved from 4.2s but still slightly above the good threshold. Optimize the largest content asset separately from the messaging test and check mobile booking usability. Changing copy, layout, loading, and form fields together makes the result harder to interpret. If development capacity is limited, preserve the functioning flow and prioritize an offer-clarity change that can be evaluated without a full redesign.

Recommended next steps

1. Priority 1 · Owner + copywriter · First week: Draft one homepage variant stating audience, problem, consultation scope, and next step. A proposed opening is 'Practical operations consulting for growing service businesses,' followed by a truthful explanation of the discovery conversation. Add a relevant link to the existing case study and retain the direct booking CTA. Approve every service promise before launch.
2. Priority 2 · Developer + analytics specialist · Weeks 1–2: Implement the variant using the existing accessible layout. Verify keyboard navigation, mobile reading order, booking confirmation, and event deduplication. Record any separate performance release. Define qualified booking and agree on the test's duration and decision rule before collecting results.
3. Priority 3 · Owner + analyst · After the agreed observation period: Compare homepage qualified bookings per session, raw booking rate, attendance, and channel/device mix with the control where feasible. If a controlled test is unavailable, use comparable windows and clearly report confounders. Keep the variant only when the evidence supports the business goal; learn from an inconclusive result rather than declaring every new design an improvement.

Sources and reporting window

• Baseline audit: September 1, 2026, with GA/GSC data from August 4–31.
• Current audit: September 29, 2026, with GA/GSC data from September 1–28.
• Saved services performance and snapshot.
• Saved GEO evidence.

These equal-length, 28-day windows compare two completed audits across the same four pages.

Applying this to your business

Ask Custom Analysis a decision you can act on: 'Which page should we improve first?', 'What should we fix before increasing ad spend?', or 'Which evidence would help buyers choose us?' Include your audience, business goal, constraints, and available data. A restaurant might ask about reservation completion; a manufacturer might ask about quote requests. A useful answer should name the recommended action, compare alternatives, cite evidence, and explain what would change the recommendation.

Confidence and limitations

The measurements support the direction of change, not a causal claim. Booking events do not establish revenue or lead quality. Seasonality, channel mix, and measurement changes can affect the comparison. All numbers, business details, and findings are authored examples rather than a live assessment.

How to validate progress

Start from the homepage's 4,800 sessions, 72 bookings, and 1.5% booking rate. Record qualified and attended consultations alongside those totals. Evaluate the agreed test with adequate observations and stable measurement; segment by device and channel to check for a misleading average. Revisit the page priority if another journey develops more traffic, a demonstrable blocker, or stronger evidence of valuable demand. The 2% and 3% scenarios remain illustrations until observed.

Use Chat to ask follow-up questions against the saved report and audit evidence.