Inconsistent Definitions
Lead, MQL, SQL, opportunity, and sourced pipeline were not governed through one shared model.
Building a complete Shopify system for a high-SKU business
Tiny Torque combines storefront architecture, product content, data-driven lifecycle automation, subscriptions, custom GraphQL APIs for tools & content, and performance reporting.
Project Scope
The data existed, but the operating view did not.
Channel spend, lead stages, CRM records, and campaign notes were reviewed in separate tools. The team could report activity, but it lacked one governed answer for lead quality, stage conversion, pipeline contribution, and next actions.
Fragmented Reporting
Spend, funnel performance, lifecycle activity, and pipeline were reviewed in separate views.
Weak Action Loop
Weekly reporting described performance, but actions, owners, and due dates were not consistently attached to the findings.
The Starting Point
The data existed, but the operating view did not.
Channel spend, lead stages, CRM records, and campaign notes were reviewed in separate tools. The team could report activity, but it lacked one governed answer for lead quality, stage conversion, pipeline contribution, and next actions.
Inconsistent Definitions
Lead, MQL, SQL, opportunity, and sourced pipeline were not governed through one shared model.
Fragmented Reporting
Spend, funnel performance, lifecycle activity, and pipeline were reviewed in separate views.
Weak Action Loop
Weekly reporting described performance, but actions, owners, and due dates were not consistently attached to the findings.
The System Built
One reporting model connecting acquisition activity to funnel quality and pipeline.
The build combined governed definitions, a shared funnel model, channel-level pacing, lifecycle visibility, and a weekly decision cadence.
KPI and Source-of-Truth Model
Defined each metric, formula, source, owner, reporting window, and treatment of exceptions.
Funnel and Handoff Model
Documented stage criteria, movement rules, routing, sales follow-up, and ownership.
Executive and Channel Reporting
Connected budget, spend, MQL, SQL, CPSQL, opportunity volume, and qualified pipeline.
Weekly Action Readout
Converted reporting into assigned recommendations with owners, due dates, and status.
The Outcome
The recreated dashboard uses mathematically consistent sample data.
The placeholder output demonstrates how summary metrics, channel comparisons, funnel movement, and action notes can share one navigable reporting surface.
Executive Summary
A compact starting view surfaces the measures most useful for a recurring leadership readout.
Channel Detail
Comparable channel views make spend, response, and pipeline context easier to inspect together.
Action Log
A dedicated area keeps questions, decisions, owners, and next steps attached to the reporting cycle.
The Impact
The reporting system changed how the team managed performance, not just how the results were displayed.
Marketing, revenue operations, sales, and finance could review the same funnel definitions, performance view, and action log. Channel decisions were connected to lead quality and pipeline rather than isolated platform metrics.
Sample performance data
44%
Improvement in MQL-to-SQL conversion
55%
Reduction in CPSQL
37%
Year-over-year increase in qualified pipeline
Need one reliable view from spend to pipeline?
Growth Shop can build the KPI definitions, reporting, and operating cadence around the tools already in place.
- Project type
- Reporting and revenue operations
- Systems
- CRM, marketing automation, paid channels, BI
- Needed outcome
- One reliable view from spend to pipeline