Screenshot of the Multi-platform social publishing and audience insight workbench interactive demo
Screenshot of the interactive demo, on sample data

Multi-platform social publishing and audience insight workbench

Reduce tool sprawl while keeping one owned publishing and reporting workflow.

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For
Marketing teams and solo operators scheduling content across several social platforms
Solves
Scheduled posts, audience insight and campaign tracking sit in separate subscriptions, so publishing and reporting drift apart.
Delivers
Reviewed publishing calendar with linked engagement evidence
Built in
about 4 weeks of creation time, MVP in 4 days
Investment
$13,500 for the MVP, $46,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool sprawl while keeping one owned publishing and reporting workflow.

  1. Schedule posts across multiple social platforms from one calendar.
  2. Publish approved posts automatically at set times.
  3. Adjust per-platform scheduling settings and time zones.
  4. Bulk-schedule many posts from a CSV upload.
  5. Track and edit scheduled content in a central dashboard.
  6. Shorten links and track their engagement.
  7. Show engagement metrics for posts on supported platforms.
  8. Audit followers and flag likely bots.
  9. Build targeted audience segments for ad campaigns.
  10. Summarize audience insights from permitted platform data.
  11. Schedule blog posts from RSS feeds with media and keyword rules.
  12. Schedule threaded posts for supported platforms.
  13. Target posts by location where the platform allows.
  14. Save brand voice and product notes for future posts.
  15. Generate short-form post drafts formatted per platform.
  16. Set campaign goals and show progress indicators.
  17. Share brand voice and content guidelines across team members.
  18. Compare the reviewed result with the recorded baseline and value assumptions.
  19. Capture corrections and named-owner approval before publishing.
  20. Export a versioned reviewed publishing calendar with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Approved post copy
  • Media assets
  • Platform rules
  • RSS sources
  • Campaign goals

AI drafts, people review. Source-based content workspace with editorial delivery.

What the customer gets
  • Reviewed publishing calendar with linked engagement evidence
02

How it works

The workflow

  1. In
    Start with

    Approved post copy, media assets, platform rules, RSS sources and campaign goals

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect approved post copy

  4. 3

    Media assets

  5. 4

    Platform rules

  6. 5

    RSS sources and campaign goals

  7. 6

    Then follow this sequence: 1

  8. Out
    Finish with

    Reviewed publishing calendar with linked engagement evidence

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Supported platform APIs and permitted account access; final publishing approval and audience claims remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Content brief and sources, Editable publishing calendar, Client proof and delivery. Use a thumbnail gallery for campaigns, a large central calendar and composer canvas, and a right-hand panel for platform rules, sources and comments. Let users compare scheduled versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant post. Make the task-specific outcome reviewed publishing calendar with linked engagement evidence visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Client-owned social accounts, approved media libraries and permitted RSS sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    4 days

    One buyer segment, one recurring use case; first modules: schedule posts across multiple social platforms from one calendar; publish approved posts automatically at set times. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    5 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    9 days

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will marketing teams and solo operators scheduling content across several social platforms use it to solve "scheduled posts, audience insight and campaign tracking sit in separate subscriptions, so publishing and reporting drift apart"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Approved posts published on schedule and engagement reviewed per campaign hour.
  4. Measure, then decide. Track approved posts published on schedule and engagement reviewed per campaign hour; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: Supported platform APIs and permitted account access; final publishing approval and audience claims remain human. Implement one approved input format, a bounded representative case set and the first two task modules: schedule posts across multiple social platforms from one calendar; publish approved posts automatically at set times. Support the third module with operator review: show engagement metrics for posts on supported platforms. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around the reviewed publishing calendar with linked engagement evidence. Retain the explicit scope boundary: Supported platform APIs and permitted account access; final publishing approval and audience claims remain human.

What the build depends on. Asset upload and preview, asynchronous publishing jobs, editable version history, reviewer access and tested export formats. High-fidelity publishing requires platform API access and human approval. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: Supported platform APIs and permitted account access; final publishing approval and audience claims remain human.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: schedule posts across multiple social platforms from one calendar; publish approved posts automatically at set times. Manual review in the loop.

    $13,500 · about 4 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $13,500 · about 5 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $19,000 · about 9 days of creation time

Indicative total, MVP to full product$46,000about 4 weeks of creation time · start with the MVP from $13,500

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$70–$140$100–$200
Full productabout 50 customers$110–$210$700–$1,400$810–$1,610
05

Run it or resell it

Internally

For your own team

Marketing teams and solo operators scheduling content across several social platforms run it inside the business: approved post copy, media assets, platform rules, RSS sources and campaign goals in, reviewed publishing calendar with linked engagement evidence out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#272f91
  • accent#aec954
  • surface#e4e6f1
  • ink#22201e
Headings
DM Serif Display
Text
DM Sans
Voice
Energetic, specific, results-minded
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined campaign package. Offer a monthly publishing allowance after repeat demand. Quote complex multi-brand or paid-media work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed publishing calendar with linked engagement evidence. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce tool sprawl while keeping one owned publishing and reporting workflow. Demonstrate a concrete reviewed publishing calendar with linked engagement evidence using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Marketing teams and solo operators scheduling content across several social platforms professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample publishing calendar with linked engagement evidence from a small authorized input set, with a transparent calculation of approved posts published on schedule and engagement reviewed per campaign hour and no promised savings.

The first 30 days

  1. Week 1: interview five marketing teams and solo operators scheduling content across several social platforms and inspect a recent example of scheduled posts, audience insight and campaign tracking sitting in separate subscriptions.
  2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure approved posts published on schedule and engagement reviewed per campaign hour, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Approved posts published on schedule and engagement reviewed per campaign hour. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Approved posts published on schedule and engagement reviewed per campaign hour; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a reviewed publishing calendar with linked engagement evidence. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved brand voices, platform rules and review examples, together with reliable delivery for a narrow marketing niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for marketing teams and solo operators scheduling content across several social platforms. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Fedica Mobile, Stampede Social and DunSocial, plus manual posting and generic schedulers. Compare this product with the buyer's present method on approved posts published on schedule and engagement reviewed per campaign hour. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Platform API calls, media processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of the reviewed publishing calendar with linked engagement evidence. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve brand voice, source attribution, quotation accuracy and usage permissions. Account owners approve substantive changes and publishing scope. Supported platform APIs and permitted account access; final publishing approval and audience claims remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 4 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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