Connect Adtraction Advertising to ChatGPT

Multi-Client Affiliate Pulse

Using the Catchr MCP, pull Adtraction data for [List of Client Account Names/IDs] over [Period] and compare it with [Comparison Period]. For each client, summarize Impressions, Clicks, Unique Clicks, CTR, Sales, Leads, Conversion Ratio, Lead Ratio, Order Value, Average Order Value, Commission, and Cost, separated by Program Currency where needed. Compare the results with [Client KPI Targets], label each account on track, watch, or at risk, and rank the accounts the consultant should review first. For every at-risk client, drill down by Program Name, Program Market, Channel Affiliate Name, and Channel Name to identify the largest measurable contributor, then give one concrete next action and a client-safe explanation.

Client Affiliate Performance Debrief

Using the Catchr MCP, create a client-ready Adtraction debrief for [Account Name/ID] covering [Period] versus [Comparison Period]. Explain changes in Impressions, Unique Impressions, Clicks, Unique Clicks, CTR, Sales, Leads, Conversion Ratio, Lead Ratio, Order Value, Average Order Value, Commission, Cost, and EPC. Break the most important movements down by Program Name, Program Market, Channel Affiliate Name, Channel Channel Type, Channel Name, Ad Name, and Ad Type, and quantify which segments contributed most. Finish with an executive summary, three evidence-based insights, and prioritized recommendations for partner recruitment, creative review, or commercial optimization, clearly separating observed facts from hypotheses.

Portfolio Transaction Risk Watch

Using the Catchr MCP, audit transactions for [List of Client Account Names/IDs] over [Period]. Use Transaction Status, Transaction Payment Status, Transaction Auto Approval Date, Transaction Last Updated, Transaction Reason Text, Transaction Order Value, Transaction Cost, Commission, Program Currency, Program Name, Channel Affiliate Name, and Channel Name to surface material pending, rejected, open-claim, not-invoiced, or approaching-auto-approval exposure. Group findings by client and status, quantify affected transaction counts and value without mixing currencies, and list the highest-priority Transaction IDs and Order IDs for review. End with a consultant action queue and a concise status update that can be sent to each affected client.

Daily Client Priority Queue

Using the Catchr MCP, pull month-to-date Adtraction performance for [List of Client Account Names/IDs] and compare each client with [Monthly Targets] and [Expected Pace as of Date]. Use Impressions, Clicks, Unique Clicks, CTR, Sales, Leads, Conversion Ratio, Lead Ratio, Order Value, Commission, Cost, and EPC, keeping each Program Currency separate. Rank clients by urgency, explain in one sentence why each is on track or at risk, and identify the Program Name, Channel Affiliate Name, or Channel Name driving every material gap. End with a short, prioritized list of actions the freelancer can complete today and a one-line update ready to send to each client.

Monthly Affiliate Client Story

Using the Catchr MCP, prepare a plain-English Adtraction report for [Client Account Name/ID] covering [Period] versus [Comparison Period]. Explain the movement in Impressions, Unique Impressions, Clicks, Unique Clicks, CTR, Sales, Leads, Conversion Ratio, Lead Ratio, Order Value, Average Order Value, Commission, Cost, and EPC. Attribute the largest changes to Program Name, Program Market, Channel Affiliate Name, Channel Channel Type, Channel Name, Ad Name, or Ad Type and quantify their contribution. Structure the report as executive summary, what worked, what needs attention, likely explanations supported by the data, and three next steps; spell out unfamiliar terms and clearly mark unavailable data.

Weekly Partner Action Plan

Using the Catchr MCP, review [Client Account Name/ID] for [Period] and compare every material Channel Affiliate Name and Channel Name with [Comparison Period] and [Client Targets]. Use Impressions, Clicks, Unique Clicks, CTR, Sales, Leads, Conversion Ratio, Lead Ratio, Order Value, Commission, Cost, EPC, Ad Name, and Ad Type to find the partners and creatives that deserve attention. Apply [Minimum Volume Threshold], then produce a prioritized one-week action plan covering partner outreach, creative replacement, additional testing, or commercial-term review. For each action, include the supporting metrics, the expected decision to make after the next data check, and a short client-facing rationale without claiming causation the data cannot prove.

Affiliate Profitability Guardrail

Using the Catchr MCP, assess Adtraction profitability for [Account Name/ID] over [Period] against [Comparison Period] and [Business Targets]. Report Sales, Leads, Order Value, Average Order Value, Commission, Cost, Conversion Ratio, Lead Ratio, EPC, Clicks, and Unique Clicks, and calculate Order Value divided by Cost only where both values and a consistent Program Currency are present. Break the change down by Program Name, Program Market, Channel Affiliate Name, Channel Name, and Channel Channel Type. Flag partners with meaningful volume whose commercial return or conversion efficiency is deteriorating, quantify their contribution, and recommend whether to protect, investigate, renegotiate, reduce, or scale each relationship.

Partner and Creative Growth Allocator

Using the Catchr MCP, analyze Adtraction acquisition performance for [Account Name/ID] over [Period]. Rank Channel Affiliate Name, Channel Name, Ad Name, and Ad Type combinations using Impressions, Unique Impressions, Clicks, Unique Clicks, CTR, Sales, Leads, Conversion Ratio, Lead Ratio, Order Value, Average Order Value, Commission, Cost, and EPC. Apply [Minimum Volume Threshold] and [Efficiency Targets], identify combinations that combine scale with strong outcomes, and separate low-delivery, low-engagement, and low-conversion issues. Return a scale, maintain, test, refresh, or pause recommendation for every material combination, with the exact metrics supporting each decision.

Transaction Leakage and Approval Queue

Using the Catchr MCP, review Adtraction transactions for [Account Name/ID] over [Period] and build an operational queue from Transaction Status, Transaction Payment Status, Transaction Auto Approval Date, Transaction Last Updated, Transaction Reason Text, Transaction Order Value, Transaction Cost, Transaction Currency, Transaction Transaction Date, Channel Affiliate Name, Channel Name, and Transaction Name. Quantify pending, rejected, open-claim, not-invoiced, and overdue-for-review transactions by count and value, highlight the partners and channels responsible for the largest exposure, and list the relevant Transaction IDs and Order IDs. Prioritize what the e-commerce team should validate today and state the evidence required before approving, rejecting, or escalating each item.

Affiliate Funnel Reconciliation Monitor

Using the Catchr MCP, reconcile daily Adtraction delivery and conversion data for [Account Name/ID or List of Accounts] over [Period]. By Date and Program Name, pull Impressions, Unique Impressions, Clicks, Unique Clicks, Sales, Leads, Order Value, Commission, and Cost; calculate observable step rates and compare them with Conversion Ratio, Lead Ratio, CTR, Average Order Value, and EPC. Flag impossible relationships such as unique counts exceeding total counts, missing dates, broken rate calculations, abrupt discontinuities, and aggregates that do not reconcile within [Tolerance]. Drill each issue down by Channel Affiliate Name, Channel Name, and Ad Name, classify it as likely delivery, transaction, or extraction risk, and provide the exact validation check to run next.

Transaction Ledger Integrity Audit

Using the Catchr MCP, audit Adtraction transaction integrity for [Account Name/ID or List of Accounts] over [Period]. Use Transaction ID, Transaction Order ID, Transaction Transaction Date, Transaction Last Updated, Transaction Status, Transaction Payment Status, Transaction Auto Approval Date, Transaction Order Value, Transaction Cost, Transaction Currency, Transaction Reason Text, Program Name, and Channel Affiliate Name. Detect duplicate identifiers, conflicting records, missing identifiers or currency, invalid status-date combinations, value changes without a Last Updated date, rejected transactions without an available reason, and payment-state inconsistencies under [Data Quality Rules]. Return a severity-ranked exception table with affected records, rule breached, financial exposure by currency, and a reproducible downstream remediation step.

Daily Affiliate Outlier Early Warning

Using the Catchr MCP, pull daily Adtraction data for [Account Name/ID or All Connected Accounts] over [Period, e.g., the last 90 days]. For Impressions, Clicks, Unique Clicks, CTR, Sales, Leads, Conversion Ratio, Lead Ratio, Order Value, Average Order Value, Commission, Cost, and EPC, compare each day with its trailing [Baseline Window, e.g., 30-day] mean and standard deviation. Flag deviations beyond [Threshold, e.g., 2 standard deviations], then drill down by Program Name, Program Market, Channel Affiliate Name, Channel Name, Ad Name, Transaction Device, and Transaction Geo Location to locate the contributor. Separate probable data-quality incidents from plausible commercial events, state the evidence for the classification, and output a severity-ranked alert table suitable for BI ingestion.

Replace [variables] Facts ≠ hypotheses Action + follow-up metric

Connect Adtraction Advertising to ChatGPT

How to connect Adtraction Advertising to ChatGPT

Authorize the Adtraction Advertising account in Catchr

Install the Catchr app in ChatGPT

Choose, adapt, and run a prompt.

A simple client question should not trigger an hour of data prep.

Pull another CSV

Rebuild the context

Summarize it by hand

Ask the account. Get to the explanation.

Prepare data before every question.

Connect once. Keep asking.

See it in ChatGPT

Twelve Adtraction Advertising prompts for analyzing real account data.

Multi-Client Affiliate Pulse

Client Affiliate Performance Debrief

Portfolio Transaction Risk Watch

Multi-Client Affiliate Pulse

Adtraction Advertising to ChatGPT pricing

Starter

Growth

Scale

Adtraction Advertising to ChatGPT: FAQ

What Adtraction Advertising data can ChatGPT analyze through Catchr?

How granular can Adtraction Advertising analysis be in ChatGPT?

Can ChatGPT identify the most valuable publishers in Adtraction Advertising?

Can ChatGPT find commission, approval, or transaction leakage in Adtraction Advertising?

What types of prompts work best for Adtraction Advertising analysis?

Can I combine Adtraction Advertising with other data sources in ChatGPT?

Can I analyze multiple advertiser accounts or affiliate programs together?

What do I need to connect Adtraction Advertising to ChatGPT with Catchr?

How recent is the Adtraction Advertising data, and how much history can I analyze?

Can ChatGPT change anything in Adtraction Advertising through Catchr?

Still have a question?

Ask the account question before building another export.