Case Study – Distribution Engine

From Manual Posting to Campaign-Scheduled, Multi-Channel Delivery

This case study demonstrates the RS Tech Hub Distribution Engine applied to the same multi-client agency covered in the Media Engine case study — extending the campaign-based system from rendering into scheduled, multi-channel publishing across every client's social accounts.

Industry: Marketing & Creative Agency
Company size: Small-to-mid agency, multiple concurrent client accounts
Engagement type: Product delivery — self-hosted platform deployment
Deliverable: Distribution Engine (containerized scheduling and delivery platform)

The Situation

With rendering automated through the Media Engine, the agency's bottleneck moved one stage downstream. Finished, on-brand assets were being produced faster than they could be scheduled and posted. Publishing was still manual: someone logged into each client's social accounts, decided what to post and when, uploaded the asset, and repeated the process across every channel and every client.

The number of finished assets waiting to go out was growing. The number of people available to schedule and post them was not.

The Problem Diagnosis

The agency's publishing workflow was mapped before any development began. Four compounding failure points came out of that review:

No unified publishing calendar. Posting cadence per client lived in whatever the account manager remembered or had noted informally — not in a system that could generate a schedule on its own.

No visibility into publish status. A failed post — a channel token that expired, an API rejection — was often only noticed when a client asked why something hadn't gone live. There was no dashboard showing what had published, what had failed, and what was still pending.

Channel credentials handled without isolation. Login details and API tokens for dozens of client social accounts were managed without a structural separation between clients, creating both a security exposure and an operational risk as the roster grew.

A handoff gap between production and publishing. Assets finished by the rendering pipeline had no automatic path into a publishing queue — getting a finished asset live still depended on someone manually picking it up and scheduling it.

As with the rendering side of the business, the root cause was the same: publishing had never been engineered as a system. It ran on account managers remembering what to post and when, which scales exactly as far as human memory does.

The Approach

The same campaign-and-status discipline used for rendering was extended into distribution. A distribution campaign — defined in JSON, carrying its deliverables and channel targets — moves through the same status policy already in place for rendering: NEW, PREPARED, READY, LOCKED, COMPLETED, with each transition mirrored in the corresponding storage folder.

Scheduling was designed to be computed, not decided ad hoc: each campaign carries a postFrequency and a campaignStartDate, and the full publish calendar — every deliverable's exact publish time — is generated once from those two values, spacing posts at equal intervals from the start date.

Channel credentials were isolated per client at the architecture level, not by internal policy alone, closing the security gap identified in the diagnosis. Delivery confirmation and retry logic were built in so a failed post is caught and retried automatically, with the failure surfaced to an operator rather than discovered by a client.

What Was Built

Campaign & Status Lifecycle Distribution campaigns follow the identical NEW → PREPARED → READY → LOCKED → COMPLETED policy used on the rendering side, giving the agency one consistent status model across both production and publishing.

Campaign-Driven Scheduling Each campaign's postFrequency (for example, three times per week) and campaignStartDate generate the full publish calendar automatically. No account manager decides posting dates by hand — the schedule is computed once the campaign is released for processing.

Multi-Channel Publishing Scheduling and publishing run through third-party scheduling APIs across the client's social channels, with support for multiple channel accounts per client.

Channel Credential Isolation Every client's channel credentials and delivery configuration are isolated from every other client's. Onboarding a new client's channels is a configuration addition, not a shared-credential risk.

Delivery Confirmation & Retry Every dispatch is confirmed; failed publishes retry automatically on a backoff schedule, with an alert raised if retries are exhausted — replacing "a client noticed it didn't go live" with a system that catches the failure first.

Reporting Dashboard A single view shows what was published, when, to which channel, and its current status — published, failed, or pending — across every client and every campaign, with exportable reports for client-facing use.

Deployment Self-hosted and containerized, deployed on infrastructure the agency controls, with per-client configuration for channels, branding, and scheduling rules handled without code changes.

The Outcome

The platform replaced the agency's manual publishing workflow, taking over scheduling and multi-channel delivery for the full client roster.

The tangible results:

Publishing now runs on a computed calendar instead of an account manager's memory — every deliverable has a scheduled time as soon as its campaign is released.
Publish failures are caught and retried automatically, with status visible on a dashboard instead of surfacing only when a client asks.
Channel credentials are isolated per client by construction, closing the security exposure identified during diagnosis.
The handoff from finished asset to scheduled post is automatic — production and distribution now run as one continuous pipeline instead of two disconnected steps.
Adding a new client's channels is a configuration step, not a rebuild or a manual credential-management exercise.

Publishing capacity, like production capacity before it, is no longer tied to how many people the agency can put on the task.

The Principle Behind the Work

An asset that's finished but not delivered isn't finished — it's inventory. Rendering solves the production half of the problem; without a distribution system built to the same standard, every asset still depends on a person to actually get it out the door, on time, to the right channel, for the right client.

When scheduling and delivery run on a computed calendar and a defined status policy, output turns into reach automatically. When they run on memory and manual login, growth in production simply becomes a backlog of unpublished work.

This engagement is a direct application of that principle: extend the same engineered discipline from rendering into delivery, so nothing produced sits waiting on a person to send it.

This case study has been anonymised. Client and product names have been removed. All described functionality reflects delivered, production-ready work.