We use research to decide what deserves a system, a named owner, and a place in the sequence. This is a living register of that rationale—not a collection of Leadio case studies.
Each entry connects a checkable finding to an operating decision inside the Growth System.
98% of consumers at least occasionally read online reviews when researching local businesses.
Reputation is an operating responsibility: ask, respond, monitor, and report it consistently.
53% of mobile visits are abandoned when a page takes longer than three seconds to load.
A campaign cannot compensate for a slow or unusable mobile experience. Fix capture before adding demand.
An audit of 2,241 U.S. companies found that most were not responding to online leads nearly fast enough.
Response is staffed as a defined responsibility, with speed and coverage measured rather than assumed.
93% of surveyed homeowners said an instant estimate influences who they hire.
Where pricing is bespoke, shorten the path from inquiry to a clear estimate or proposal.
Human roles and responsibilities in AI decision-making and oversight should be clearly defined and differentiated.
AI supports defined work. People retain strategy, taste, exception handling, review, and accountability.
The label determines how confidently we use a source and when the client’s own data must take over.
A checkable source supports the wording and number shown. We preserve the source, date, and relevant population.
Useful evidence points toward a decision, but its population or context does not justify a universal promise.
No honest external number replaces the client’s own calls, estimates, customers, conversion rates, or timing.
A simulation or example explains the mechanism. It is labeled clearly and never presented as a client result.
Research narrows uncertainty; it does not remove context, judgment, or accountability.
