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Text of the page (random words):
ryan jordan consulting principal led operating intelligence skip to content ryan jordan consulting principal led operating intelligence menu services engagements process inquire private technical intelligence technical intelligence for growth driven companies that need better evidence faster decisions and cleaner execution as they scale we help growth stage companies expose revenue leaks repair fragile commerce data and operating systems build decision grade reporting infrastructure and create the evidence operators investors and acquirers need to move faster with less risk principal led by ryan jordan systems engineering phd founder and operator for 25 years expertise in revenue forensics data architecture technical intelligence see services inquire selective engagements revenue forensics audit data architecture build conversion constraint analysis capital readiness investor diligence services senior technical work for companies preparing to scale raise capital or withstand diligence where slow answers reduce margin cash flow and enterprise value analysis revenue forensics we investigate fragmented commerce finance crm email advertising fulfillment and analytics data to identify what is true what is distorted where revenue is leaking and where capital is moving too slowly development technical systems and integrations we design and build targeted tools automations reporting layers integrations and internal systems when off the shelf software cannot answer the business question cleanly conversion conversion constraint analysis we find the technical behavioral trust merchandising performance tracking and operational constraints that suppress conversion retention margin customer lifetime value or return on invested capital including custom first party pixel and event instrumentation when platform data is not reliable enough capital capital readiness and investor diligence we build or inspect the evidence layer behind a growth story before angel seed series a acquisition or investor diligence conversations expose gaps in the numbers systems or technical foundation why this is different principal led intelligence across strategy data engineering and growth small businesses lose money when strategy analytics engineering marketing and operations are translated across too many disconnected specialists every handoff adds delay ambiguity and cost our work combines founder level operating judgment systems engineering discipline software and ai fluency and end to end digital growth experience from acquisition through conversion nurture retention and margin the practical advantage is speed of motion fewer handoffs faster diagnosis faster implementation clearer capital allocation and less revenue left idle while disconnected specialists debate partial views of the business the financial objective is capital velocity shorten the time between spend signal decision implementation and cash return while protecting margin and reducing expensive false starts for founders preparing for angel seed or series a capital this creates the evidence layer behind the growth story for investors and acquirers it exposes the technical data conversion and operating reality behind the numbers before capital is committed engagements focused engagements for leadership teams ready to make serious growth decisions audit revenue forensics audit we run a focused diagnostic of data reliability tracking attribution first party event instrumentation conversion paths reporting logic technical debt app script risk and the constraints most likely limiting growth margin and capital efficiency foundation data warehouse and metrics layer we build the source of truth architecture automated pipelines metric definitions quality checks documentation and executive reporting that teams can trust build bespoke data connections we connect systems that do not naturally talk to each other commerce subscriptions fulfillment accounting crm email ads support product data and custom applications decision system executive dashboards and cadence we create kpi trees performance models scorecards and review rhythms that connect technical findings to decisions owners timelines cash flow impact and measurable outcomes diligence investor diligence forensics we provide technical data conversion and revenue quality diligence for investors acquirers and operators evaluating a digital commerce business before capital is committed framework connect the systems audit the evidence diagnose the constraint build the decision layer we inventory and connect the systems that hold the real business signal we normalize definitions so revenue margin conversion retention and attribution stop drifting across tools we audit data quality tracking logic technical debt scripts customizations and security exposure we diagnose the bottlenecks and quantify which constraints deserve leadership attention first we build dashboards automations and operating cadences that turn intelligence into faster decisions better capital allocation and action inquiry for operating technical and capital decisions that deserve senior attention useful starting points include founder led companies moving from traction to scale preparing for angel seed or series a capital acquisition conversations investor diligence a major growth investment unreliable dashboards inconsistent revenue numbers unexplained conversion drop offs fragile ecommerce customizations plugin layer conflicts fractured integrations presentation logic problems duplicated data structures excessive manual reporting app or script bloat and technical risks that leadership cannot yet quantify use the inquiry form to establish basic fit and timing we review context before scheduling a call engagements are scoped according to business complexity technical risk urgency and the economic value of the decision most advisory audit and implementation work is appropriate for companies prepared to invest at a senior professional services level if the constraint is material to revenue margin capital efficiency investor confidence or enterprise value the engagement should be able to justify itself through faster decisions reduced false starts cleaner execution and better allocation of capital this work is generally not a fit for pre market exploratory projects routine third party software setup or integrations or companies seeking commodity development support name company company size topline revenue select range 500k 500k to 2m 2m to 10m 10m to 50m 50m your location city state role in company best fit select best fit founder co founder owner principal partner c level executive president general manager vp head of function director manager investor board member advisor consultant other linkedin email address phone number engagement interest select engagement type advisory call 1 to 2 hours audit diagnostic implementation 4 to 12 weeks retainer 6 months engagement start timeframe select timeframe next 30 days next 90 days next 180 days 180 days current decision or constraint briefly describe the business decision growth constraint technical issue data problem or due diligence question that prompted the inquiry website submit inquiry ryan jordan consulting enterprise class technical intelligence revenue forensics and bespoke systems for small businesses moving from traction to scale services engagements copyright 2026 ryan jordan