.png){kind=logo}
Improvado gives your AI agent direct access to Instacart Ads data through an MCP server. Query ROAS, sponsored product performance, keyword bids, and share of voice — all in natural language. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
No more navigating the Instacart Ads Manager or waiting for weekly reports. Ask your AI agent for ROAS by product, keyword performance, impression share, or basket composition — across any campaign, category, or date range.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just read Instacart data — it acts on it. Adjust keyword bids, pause underperforming campaigns, and update budget allocations directly through natural language.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up watches on the metrics that matter for retail media. Your AI monitors Instacart campaigns and flags share-of-voice drops, ROAS degradation, and budget pacing issues before they impact sell-through.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just read Instacart data — it acts on it. Adjust keyword bids, pause underperforming campaigns, and update budget allocations directly through natural language.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Instacart reports sponsored and organic sales separately, but there's no built-in view showing the total incrementality of campaigns. Teams manually combine reports in spreadsheets to estimate true ROAS — a process that takes hours and produces inconsistent numbers each cycle.
Improvado normalizes Instacart sponsored and organic data into a unified schema. The MCP server lets your AI calculate true incremental ROAS in one query, combining both data streams with consistent logic applied every time.
Bid adjustments depend on fresh keyword-level performance data. But pulling that data from Instacart Ads Manager, cleaning it, and distributing it to the team that makes bidding decisions takes several days. Campaigns run on stale data until the next reporting cycle.
Improvado extracts keyword-level performance data from Instacart daily. The MCP server makes it queryable instantly. Ask for bid recommendations based on current CPC and conversion data — no manual export, no waiting.
Retail media teams running campaigns on Instacart, Walmart Connect, and Kroger Precision Marketing have no unified view. Comparing ROAS, impression share, and new-to-brand rates across retailers means logging into three separate platforms and building a spreadsheet from scratch.
Improvado's Marketing Common Data Model normalizes retail media data across all major platforms. The MCP server lets your AI compare Instacart performance against other retail media networks in a single query.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Sponsored product and display campaign metrics (impressions, clicks, spend, attributed sales, ROAS, NTB rate), keyword-level performance, share of voice data, budget pacing, and campaign settings. Organic sales data is also available when connected via Instacart's retail data feeds.
Yes. The MCP server can connect to Instacart Ads for campaign performance and to Instacart's retail data feeds for organic sales, basket data, and category share. Both can be queried independently or combined.
Any MCP-compatible client — Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using MCP HTTP transport. Claude has native MCP support and is most commonly used for retail media analysis.
Yes. Improvado normalizes retail media data from Instacart, Walmart Connect, Kroger Precision Marketing, Target Roundel, and other platforms into a unified schema. Your AI agent can benchmark across networks in a single query.
Yes. Improvado stores all credentials in an encrypted vault under SOC 2 Type II controls. Your AI agent queries data through Improvado's secure proxy — raw API credentials are never exposed to the AI model.
If you're already an Improvado user with Instacart connected, start querying immediately at app.improvado.io/agent. For Claude Desktop or Cursor, add one line to your MCP config — setup takes under 60 seconds.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
.png)
