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Subsplash case study — 5x scale with same headcount

Religious services streaming

Subsplash: 5x scale with same headcount

Challenge

At the start of the pandemic, Subsplash saw explosive growth in streaming religious services. Manual billing and fulfillment steps that worked at prior volume became the bottleneck. Leadership needed fivefold processing capacity without hiring linearly — and without breaking customer trust mid-season.

Solution

Foundation5 mapped the real order-to-cash work (including spreadsheet workarounds), removed rework, then implemented Salesforce billing with Stripe. Competitor data merges and ongoing augmentation kept the internal team current as volume stayed elevated.

Outcomes

  • 5x processing scale with the same headcount
  • Stripe billing integrated into Salesforce
  • Competitor data merges completed cleanly
  • Ongoing Foundation5 augmentation for peak periods

Engagement context

Subsplash serves religious services streaming — a category that saw explosive pandemic demand. Manual billing and fulfillment steps that worked at prior volume became the bottleneck. Leadership needed fivefold processing capacity without hiring linearly and without breaking customer trust mid-season.

The headline metric — 5x scale with the same headcount — came from fixing flow before buying more tools, then implementing Salesforce billing with Stripe to match the redesigned process.

Map first, automate second

Foundation5 mapped real order-to-cash work, including spreadsheet workarounds and side channels. Rework loops and unclear ownership were removed before configuration. Only then did Salesforce billing and Stripe go live, with competitor data merges and ongoing augmentation during peak periods.

This is the canonical Foundation5 process-engineering pattern: baseline cycle time and rework, redesign, then systems. Read process mapping before automation spend for the method we use across industries.

  • 5x processing scale without proportional headcount
  • Stripe billing integrated into Salesforce
  • Competitor data merges completed cleanly
  • Peak-period augmentation when volume stayed elevated

Lessons for high-growth operators

When volume spikes, the instinct is to buy automation. Automating uncleared exceptions scales the mess. Name the outcome (throughput per FTE, error rate, time-to-invoice), map the current path, remove habit-based steps, then choose process engineering and Salesforce levers deliberately.

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