PLUGIN SETUP
Start using TikTok Shop in ChatGPT
Connect TikTok Shop to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect TikTok Shop to Adzviser
Choose your TikTok Shop region, sign in, 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 TikTok Shop question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the shop connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CONVERSATION FLOW
Turn TikTok Shop 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
Get a concise weekly snapshot of your shop's orders and revenue. Ask for a compact table and make the reporting period clear.
See the “Weekly Sales Summary” promptFocus on a decision
Analyze SKU pricing and discount patterns for optimization opportunities. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “SKU Pricing Optimization” 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 “Order Trend Analysis” promptCHATGPT STARTERS
Start with a quick check, then analyze TikTok Shop
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 TikTok shops and show the Adzviser workspace for each. After I choose one, return "Orders" for the last 7 complete days.
Analyze SKU pricing and discount patterns for optimization opportunities.
Analyze TikTok Shop pricing for the workspace I choose during the last 30 complete days, broken down by SKU name and Seller SKU. For each SKU show: Item original price, Item sale price, Item seller discount, Items sold, and Total amount. Identify SKUs where 1) high Items sold suggests room for price increases, 2) low volume suggests discounting might help, and 3) heavy Item seller discount may be eroding margins. Recommend pricing adjustments.
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?
