Choose an objective and a project audience
Content can explain an approach, answer a question or present a property. Define its objective before the format. A useful audience is described by a project and an information need, without discriminatory exclusion criteria. Prepare a landing page consistent with the message. If the content promises a practical guide, the visitor must find that guide and understand what submitting a form entails.
The method in practice
Define each event before counting: unique enquiry, qualified project, completed viewing, offer, transaction. Fictional example: 80 unique enquiries, 20 qualified, and 8 viewings yield a 25% qualification rate and a 40% progression rate from qualified enquiries to viewings. Viewings also represent 10% of total enquiries; this third ratio answers a different question. Always display the numerator, denominator, and time period. A denominator value of zero produces an uncalculable ratio, not a 0% rate.
Fictional example
Content on preparing for a viewing leads to a preparation guide, not to an unrelated page of promises.
The customer journey must deliver on the promise of the content.
Distinguish visibility from progression
Measure page visits, enquiries, qualified enquiries, completed appointments and commercial outcomes separately. Each rate must specify numerator, denominator and period. When comparing channels, avoid mixing very recent enquiries with files that have had time to progress. Campaign parameters help identify a source; they do not explain on their own why a sale occurs.
The method in practice
Compare consistent cohorts: identical counting rules, observation windows, and file maturity. A campaign launched yesterday cannot be judged by transaction rate in the same way as an older campaign. Distinguish cost per enquiry, cost per qualified enquiry, and cost per viewing. Note attribution limits when a client returns via multiple channels. Campaign parameters facilitate tracking; they do not in themselves prove that a channel caused the sale. The studio allows you to test ratios using fictional numbers.
Fictional example
Out of 40 enquiries in the same cohort, 10 are qualified: 25%. This figure is not a conversion rate and is not directly comparable to 10 appointments out of 100 page visits.
Name the stage and the denominator.
Test a limited hypothesis
First identify the drop-off point: few enquiries, unsuitable enquiries, or unkept appointments. Formulate a hypothesis and change one priority element. Set the observation period and also look at the quality of the leads, not just the volume. With few observations, a variation may be random; describe the result as a signal to investigate further rather than definitive proof of performance.
The method in practice
Turn analysis into a limited experiment. If many enquiries do not result in a discovery stage, formulate a hypothesis: insufficient initial information, response time, or inadequate targeting. Choose an observable modification and a suitable metric, then schedule a review. A small sample size does not demonstrate stable causality. Retain contextual factors and avoid modifying message, audience, and response process simultaneously if you wish to understand the result. Your report must state what is observed, assumed, and to be tested.
Fictional example
Enquiries are ignoring a property constraint. You make this information more visible and then examine their relevance, even if their volume drops.
Optimising quality can reduce misleading volume.
Your practical application work
Fictional campaign: 40 enquiries, 10 qualified, 6 viewings completed, 1 confirmed outcome on a tracked cohort. Analyse without inventing a market norm.
- Two correctly named rates
- A limitation of the analysis
- A hypothesis and a targeted test
Sources and benchmarks
- Google Analytics · Campaign TrackingReference source for the topic. Scenarios, working methods and durations are educational constructs created by CBE; the source does not certify them.