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This case study documents the transition from a primarily walk-in print business to a more measurable online marketing and revenue-operations system. The central theme is attribution: connecting lead source, funnel activity, opportunities, and closed revenue so marketing decisions can be made from evidence rather than guesswork.
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SameDay Riverside Home Prints creates interior home designs using handcrafted prints for home décor and wall-print applications. The business also serves customers through shirt printing, mass polo customization, and walk-in orders. Historically, it operated mainly as a conventional walk-in store before expanding into online purchases and digital marketing.
As SameDay Riverside began investing in online marketing, it lacked a proper attribution system. Marketing activity could generate attention and leads, but the business did not have a clear, visible way to determine which sources produced the most leads, which sources produced the most valuable opportunities, or where additional budget should be directed. This created uncertainty across campaign spending, funnel investment, follow-up, and improvement priorities.
The problem was therefore not simply lead generation. It was the absence of a reliable chain of visibility from source → lead → opportunity → outcome → revenue. Without that chain, channels could be judged by activity rather than commercial value, and budget could not be confidently directed toward the sources producing the strongest opportunities.
The objective was to build the online marketing and operational infrastructure required to make acquisition performance measurable while demonstrating how GHL and marketing automation could support revenue decisions. The work combined marketing setup, funnels, automations, lead attribution, pipeline management, and an AI-powered reporting layer that summarized the commercial value of each lead source.
| Before | After |
|---|---|
| Primarily walk-in operating model | Online and offline demand viewed through a measurable operating system |
| Marketing sources were difficult to compare by commercial value | Lead sources could be compared through attribution, opportunities, and revenue |
| Funnel and follow-up activity was fragmented | Funnels, automations, pipeline stages, and reporting were connected in GHL |
| Budget direction relied heavily on assumptions | Referral performance created a data-backed basis for prioritization |
The system was designed around a simple revenue path:
flowchart LR
A[Traffic source] --> B[Lead capture]
B --> C[Source attribution]
C --> D[Qualification and follow-up]
D --> E[Opportunity]
E --> F[Won deal]
F --> G[Revenue]
G --> H[ROI, CPL, and Value per Lead]
The supplied screenshots currently evidence the source, lead, opportunity, won-deal, and revenue layers. CPL, ROI, and Value per Lead will be added to the reporting story once the source-spend values are supplied; no mock figures are included in this version.
The system supported the business’s move toward online purchases and marketing by organizing digital touchpoints, funnel activity, lead capture, and follow-up. Funnel analytics shown in the supplied evidence include page views, opt-ins, sales, opt-in conversion rate, average time on page, exit-before-30-seconds, traffic by device, country-level visits, acquisition data, and video engagement. One funnel view records 132 page views, 2 opt-ins, a 4.3% opt-in conversion rate, and no recorded sales for the displayed period; these figures are presented as an observed snapshot, not a claim about the business’s total performance.
Portal Pro funnel analytics showing page views, opt-ins, traffic, acquisition data, and video engagement
The operating dashboards created a visible layer for tracking contacts, opportunities, pipeline status, deal value, closed deals, communications, and revenue over time. The evidence includes a sales-analysis dashboard showing 297 total contacts, 18 deals closed, a displayed deal value of $6.89K, 80 delivered emails, and 49 opened emails. A separate opportunity view shows 256 total opportunities, including 234 open and 22 won, with total revenue of $14.03K, won revenue of $11.37K, and an 8.59% conversion rate in the displayed configuration.