What does Creative Patterns do for Reddit Ads?

It syncs your authorized Reddit Ads account (or CSV export) into a Markdown workspace, runs a math-first pattern engine on real metrics, helps you decide what to scale or cut, and outputs runbooks and import-ready CSVs. The same files can be read over HTTP and exposed to agents via MCP as the integrations surface matures.

A timestamped Markdown brief with campaign context, brand and GTM excerpts, winning and underperforming slices, and clear instructions so an LLM or writer can produce the next test batch or import-ready CSV—using the same pattern pass as the Patterns tab.

Do you invent performance numbers?

No. The engine computes weighted CTR, lift vs baseline, and confidence thresholds. AI may only narrate those calculated facts in patterns and runbooks.

Use cases

The full Reddit creative system: data in, evidence out, any model or pipeline.

Sync live or CSV, run a math-first pattern engine, turn winners into the next test or import sheet, and keep everything in Markdown you can paste into ChatGPT, script against over HTTP, or hand to an MCP host. This page walks the loop end to end.

Ingest

Pull Reddit truth into a workspace

No shadow spreadsheet—creatives, metrics, and line IDs in Campaigns/.

Reddit Ads API (OAuth) or CSV import; same tree either way
Brand & GTM notebooks sit beside every campaign

Intelligence

Score, cluster, and narrate the evidence

The engine does math first; AI only tells the story the numbers allow.

Winners, losers, lift vs baseline, confidence you can show a stakeholder
What to scale, pause, or isolate before you spend again

Act & ship

Hand off to humans, models, and systems

Runbooks and CSVs for the next test; files for any LLM; API & MCP in flight.

Markdown for ChatGPT, Claude, Cursor—paste or fetch via MCP
Read API today; more triggers and automation as the surface matures

How one campaign travels through

1. Sync2. Structure3. Patterns4. Decide5. Ship6. Integrate

Reddit data lands in a real workspace

Connect the official Reddit Ads API (authorized account) or drop a CSV—creatives, metrics, and line IDs normalize into Campaigns/ as Markdown and structured files next to Brand and Go To Market.

No second campaign builder: the workspace mirrors what you are already running.
Stable IDs and metrics so the pattern engine and runbooks use the same truth the UI does.
File-first teams stay on CSV; API teams get live pulls—same folder and notebook model.

Data path

Connect Reddit or import CSV
OAuth or file drop
Normalize to workspace
ads, metrics, copy, IDs
Campaigns/ + sidecars
MD, CSV, briefs

Find patterns you can stand behind

The pattern engine scores every slice: weighted CTR, lift vs baseline, confidence from sample size. You see winning and underperforming clusters, overlap hints, and mechanical cross-checks—not a black-box “AI said so.”

Optional OpenAI narratives on top: prose only, grounded in calculated evidence—no invented performance.
Same pass powers the Patterns tab and runbooks: what you read in the app is what the handoff sees.
Clarity for ‘what to test next’: hooks, audience splits, and creative structure surface as first-class objects.

Pattern pass

Ingested metrics
import + engine input
Math + thresholds
CTR, lift, confidence
Cards + optional story
facts, then narrative

Drive better Reddit decisions

Use evidence to optimize—not just report. Pattern cards and spend share tell you where to double down, what to pause or isolate, and which levers to pull (creative vs placement vs bid) before you re-spend.

Turn “winner / loser” slices into next actions: scale tests, holdouts, and quarter-style kill rules.
Narratives call out when clicks are expensive vs when CTR is misleadingly high—so you don’t optimize the wrong thing.
Runbooks and imports reuse the same campaign truth, so the next batch in Ads Manager lines up with what the engine proved.

Optimization loop

Evidence in hand
patterns + spend
Decide the lever
creative, audience, bid
Launch next test
runbook or import sheet

Notebooks and runbooks for your models

Everything lives in Markdown you can paste into ChatGPT, Claude, or Cursor—or pull via integrations. Runbooks bundle campaign truth, brand and GTM snippets, and an execution command so the model knows the job. Your notebooks are the context other AI tools never got from a CSV alone.

Timestamped runbooks under Runbooks/; strict copy, Meta carry, image/motion prompts, and landing tests when you need them.
The same pattern run the UI used is merged with notebook excerpts so external models are grounded.
Outputs are yours to diff, version, and ship—not trapped in our chat window.

Handoff

Engine + brand context
one composed brief
Runbook / notebook files
Markdown, CSV
Any tool
LLM, IDE, or agent host

Import-ready rows with traceability

Generate evidence-backed bulk rows: Creative Brief and Hypothesis per line, QA mapping to pattern IDs, and optional COPY_ONLY_TEST when you are text-first. Ship to Reddit Ads Manager with a paper trail, not a mystery CSV.

Batch rationale in plain language: what you are extending, what you are avoiding.
Image prompt cells optional; align writers with strict copy runbooks in the same workspace.
Same performance truth as the Patterns tab—traceable to the next launch.

Import flow

Pattern + brief context
engine output
CSV + QA table
rows + mapping
Reddit Ads Manager
import shape

API and MCP: wire Creative Patterns in

Treat the workspace as infrastructure. HTTP API (workspace API keys) exposes read paths for notebook files; MCP lets Cursor, Claude Desktop, and other agents pull the same Markdown and context without copy-paste. Write, triggers, and credit-aware jobs are on the roadmap for automation-heavy teams.

Create scoped keys in Integrations; use bearer auth the way your scripts and agents expect.
MCP config: point your host at the repo server with your workspace and key—live context in the agent thread.
V1 is read-biased; we are expanding the surface in lockstep with billing and credits on heavy actions.

Extensibility

Workspace + key
scope & revoke
HTTP and MCP
files, then more
Your pipeline
CI, agents, internal tools

Memory you own, everywhere you work

Git-friendly Markdown: brand, positioning, pattern intelligence excerpts, and runbooks compound over time. Diff, branch, and paste into any workflow—then layer API or MCP when you are ready to automate.

No rental dashboard: the artifact is a file tree you can export, back up, or open in the editor you already use.
Hooks, claims, and test history stay yours when the ad platform UI forgets last month.
Natural bridge to the API and MCP story: same content in the browser, in a script, and in an agent.

Portability

Workspace files
MD + CSV
Version & share
git, paste, link
Stack of choice
LLM, code, or API

Runbook templates (8)

Same pattern pipeline as Patterns, then composed Markdown or CSV. Credits debit on success; failed jobs refund.

Generate New Reddit Ads From Winning Patternsmarkdown
Strict Reddit Copy Only (From Winning Patterns)markdown
Turn Winning Hook Into Meta Ad Variantsmarkdown
Create Image Generation Prompts From Creative Learningsimage_prompts
Create Video / Motion Prompts From Creative Learningsvideo_prompts
Evidence-backed Reddit import sheetcsv_reddit
Site message tests (optional)markdown
Summarize Campaign Learnings for Future Testsmarkdown