Know what your AI team prepares, what your team decides
and how you will evaluate the result.
CeeCee connects the business context. Specialist agents prepare the work. Your team reviews, acts and measures what changes.
Collection and product opportunities become prioritised briefs with a clear search intent.
Review qualified organic visits and the performance of a defined page group, with stock and seasonal context.
Friction around size, product information or checkout becomes a testable hypothesis.
Evaluate the agreed conversion metric in a controlled test. Keep returns, margin and customer experience as guardrails.
Purchase context becomes a relevant lifecycle brief with clear audience and exclusion rules.
Compare repeat purchase and retained revenue across cohorts with the same observation window.
Creative and channel signals become specific questions for the next review or experiment.
Read attributed performance alongside total spend, agreed net revenue and evidence of incremental impact.
Make progress visible without confusing work completed with business impact.
Prioritised SEO briefs, experiment plans, lifecycle recommendations and creative reviews. Track completion, quality and the time from question to review.
Relevant clicks, funnel behaviour, test observations and cohort trends. State the source, period and known limitations next to each observation.
Evaluate additional purchases, retained revenue or contribution margin using an agreed method. Separate observed movement from demonstrated causal impact.
Results depend on your starting point, data quality, implementation and market context. We agree the scope and measurement before making performance claims.
Explore the collaboration, the workstreams and the evidence available so far. Interim observations are clearly distinguished from confirmed results.
Explore the Shoeby caseChoose the sources your team uses and explore the specialist workflows that fit your business.
Choose your tools