PLUGIN SETUP
Start using Snapchat Ads in ChatGPT
Connect Snapchat Ads to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect Snapchat Ads to Adzviser
In Adzviser, sign in to Snapchat Ads and allow Adzviser to read its reporting data.
Install Adzviser in ChatGPT
Open Adzviser in ChatGPT's plugin directory, install it, and sign in to your Adzviser account when asked.
Open Adzviser in ChatGPT ↗Ask your first Snapchat Ads question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the ad account connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CHOOSE THE RIGHT CHATGPT CONNECTOR
Snapchat Ads in ChatGPT: Snap's official Ads MCP vs. Adzviser's read-only reporting connector
This side-by-side comparison covers Snap's official Ads MCP and Adzviser's read-only Snapchat Ads reporting connector in ChatGPT. Snap's MCP provides self-service, read-only advertising access after an organization admin approves the agent. Adzviser adds cross-channel context around the same kind of reporting.
Snap's official Ads MCP
Report on Snapchat Ads only
Have a Snap organization admin approve access for the AI agent. If your account receives a public MCP address, connect it manually in ChatGPT Developer mode. Developer mode availability depends on the account and workspace policy.
Review Snapchat Ads campaign structure and performance.
Read-only: analyze campaign structure and performance without changing Snapchat Ads.
Snapchat Ads only: analyze its campaign and reporting data.
Best for: Snap advertising teams whose organization admin can approve agent access.
Read Snap's documentationAdzviser's read-only Snapchat Ads reporting connector
Analyze Snapchat Ads with your other marketing data in ChatGPT
Connect Snapchat Ads in Adzviser, then install Adzviser from ChatGPT's plugin directory.
Open with a question about campaigns, spend, reach and conversions, inspect the answer, and continue the same conversation with follow-up questions.
Read-only reporting; ChatGPT cannot change anything in Snapchat Ads through Adzviser.
Analyze Snapchat Ads in the same ChatGPT conversation as connected advertising, analytics, commerce, email, and CRM sources.
Best for: marketers and agencies that want read-only Snapchat Ads reporting beside other marketing and revenue data in ChatGPT.
Open Adzviser in ChatGPTCONVERSATION FLOW
Turn Snapchat Ads data into clear next steps in ChatGPT
Start with the results, focus on the decision in front of you, and keep asking follow-up questions in the same conversation.
Review recent performance
Review recent campaign results and the metrics behind the headline. Ask for a compact table and make the reporting period clear.
See the “Weekly Campaign Performance Summary” promptFocus on a decision
Compare spend and results across campaigns to identify budget decisions that deserve closer review. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “Budget Allocation Optimizer” promptAsk a follow-up
Compare recent results with the previous period and call out the largest changes. Ask what may explain the result, what evidence is missing, and what to examine next.
See the “Week-over-Week Trend Detection” promptCHATGPT STARTERS
Start with a quick check, then analyze Snapchat Ads
First, confirm ChatGPT can access the right data. Then ask a detailed question and follow up on the recommendation that matters most.
List my connected Snapchat Ads accounts and show the Adzviser workspace for each. After I choose one, return "Cost" for the last 7 complete days.
Compare spend and results across campaigns to identify budget decisions that deserve closer review.
Analyze Snapchat Ads budget allocation for the workspace I choose during the last 30 complete days. For each campaign: Daily Budget, Actual Spend, Conversions, ROAS, and Utilization %. Identify underspending campaigns with strong ROAS and overspending with poor ROAS. Recommend budget redistribution.
Keep the same data source and time period. Which recommendation should I prioritize, what results support it, and what should I review before acting on it?
