Revenue intelligence
Understand where revenue is being created, delayed, and lost.
Revenue Intelligence connects the signals across marketing, conversion, sales, operations, reputation and retention, so a business can understand where opportunity is breaking down and what should be addressed first.
The revenue path
Palkion studies the movement between stages, not isolated metrics.
- Demand
- Attention
- Lead
- Response
- Appointment
- Sale
- Customer
- Repeat / Referral
A conversion rate on its own says very little. The same rate means something different when leads arrive at midnight, when nobody calls back for two days, or when half the enquiries were never qualified in the first place. The movement between stages is where the answer lives.
What Palkion measures
Six areas, examined as one system.
These are the deeper capabilities behind the questions on the homepage. Each area is read in relation to the others, not scored in isolation.
Market and demand
Whether the right demand exists and can find the business.
- Search visibility
- Local demand
- Competitive saturation
- Competitor positioning
- Market DNA
Website and conversion
Whether attention becomes an opportunity.
- Conversion paths
- Contact friction
- Booking flow
- Offer clarity
- Mobile usability
- Trust signals
Lead handling
What happens in the hours after a lead arrives.
- Response expectations
- Follow-up infrastructure
- Pipeline movement
- Abandonment risk
- Routing and handoffs
Sales infrastructure
Whether opportunities progress or stall.
- Lead stages
- Proposal and quote process
- Appointment flow
- Financing visibility
- Closing friction
Reputation and retention
Whether customers return and recommend.
- Review presence
- Review generation
- Customer trust
- Reactivation
- Referrals
- Repeat-customer systems
Automation and operations
Where manual work quietly costs opportunity.
- Repetitive work
- Missed handoffs
- Manual bottlenecks
- Delayed communication
- AI-assisted workflow opportunities
Evidence
Not every finding is the same kind of fact.
Palkion separates what was observed from what was inferred, and labels which is which. Blurring the two is how analysis turns into sales copy.
- Directly observed
- Something Palkion checked itself — a page that does not load on mobile, a missing booking path, an absent review profile.
- Business-provided
- Figures or context supplied by the business. Treated as accurate but attributed, so a finding built on it is traceable.
- Public market evidence
- Competitor presence, demand signals and market position drawn from publicly available sources.
- Inferred
- A conclusion drawn from several signals rather than observed directly. Reasonable, but stated as inference.
- Estimated opportunity
- A modelled figure, always a range, always dependent on stated inputs.
- Unverified assumption
- Something Palkion could not confirm from outside the business. Named as an assumption rather than quietly folded into a finding.
Confidence
Every finding carries how sure Palkion is.
Confidence reflects the quality of the evidence, not enthusiasm about the conclusion.
- High confidence
- Supported by direct observation, or by several independent signals that agree with each other.
- Moderate confidence
- Supported, but incomplete — the pattern is consistent while some part of the picture is missing.
- Low confidence
- Plausible, but requiring internal validation before anyone should act on it or spend against it.
Opportunity estimates
Ranges, not a single confident number.
A single figure implies a precision the evidence does not support. A range shows the uncertainty rather than hiding it.
Inputs an estimate depends on
Change any of these and the range moves.
- Traffic
- Lead volume
- Average customer value
- Close rate
- Response rate
- Retention
- Market demand
How the range is presented
Always with the reasoning attached.
- Low and high bound
- Assumptions listed
- Confidence stated
- Evidence cited
- Revised as data improves
Limits
What the analysis does not claim.
Being explicit about this is part of the product. A finding is only useful if its boundaries are known.
- It does not guarantee revenue
- An opportunity estimate describes what the evidence suggests may be recoverable, not what the business will earn.
- It does not see inside the business without access
- Private performance data — real close rates, actual response times, internal pipeline — cannot be known from outside unless it is shared.
- It does not treat correlation as causation
- Two things moving together is a reason to investigate, not a conclusion about which caused the other.
- It does not recommend implementing everything
- A finding is not automatically a project. Some issues are noted and deliberately left alone.
- It does not hide uncertainty
- Where Palkion is unsure, the analysis says so rather than presenting a cleaner story than the data supports.
Sample analysis figures
Find out where your revenue is going.
A Revenue Intelligence Analysis applies all of the above to one specific business — yours.