Querri for Optimizing Ad Spend An AI Data Analytics Tool to Optimize Ad Spend, Reduce Waste, and Improve Marketing ROI

Ad budgets outpace clarity. Campaign data spans Google Ads, LinkedIn, Meta, spreadsheets, and CRMs, but identifying revenue-driving ads often remains manual. Querri helps marketing and RevOps teams connect campaign data to real business outcomes. Optimize spend, cut waste, and boost ROI — no SQL or technical knowledge needed.

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See Ad Spend Optimization in Action

Watch how Querri uses agentic AI to analyze ad spend across channels, identify underperforming campaigns, and surface clear next steps — all from a single analysis.

Why Optimizing Ad Spend Is So Hard

Most teams don't struggle with running ads — they struggle with understanding results.

Common challenges include:

  • Ad performance data spread across multiple platforms
  • No clear connection between ad spend and revenue
  • Attribution models that are too complex or too rigid
  • Static dashboards that can't answer new questions

The result? Budget decisions based on partial data, gut instinct, or last month's report.

Ad campaign optimization challenges
Querri home screen with active integrations

How Querri Connects Campaigns to Real Business Impact

Querri brings all your ad data together and analyzes it in context.

Connect data from:

  • Google Ads, LinkedIn Ads, Meta, and other platforms
  • CRM and pipeline data
  • Revenue systems and spreadsheets

Querri's AI analyzes ad performance across channels to help you:

  • Understand which campaigns actually drive revenue
  • See cross-channel performance in one place
  • Optimize budget allocation based on ROI

This is cross-channel ad spend optimization, without the usual complexity.

From Clicks to Revenue: Optimize Ad Spend Without Complexity

Clicks are easy to track. Revenue impact isn't.

Querri links ad spend to outcomes like pipeline and sales, showing which campaigns drive results, comparing cost per lead to cost per revenue. Skip rigid attribution models — explore performance dynamically and ask follow-up questions.

Catch inefficiencies early, cut wasted spend, and continuously optimize budgets. Designed for Marketing Ops and RevOps, Querri delivers clear insights without SQL, custom pipelines, or a data team.

What You Gain When You Finally Know Your Customers

Clear visibility into marketing ROI

Smarter Targeting for Marketing and Sales

No More Waiting for a Data Team

Actionable Insights That Improve Retention and Revenue

How-To:

1

Connect or Upload Campaign Data

Connect live data from Google Ads–related sources via Google Drive, pull campaign data from BigQuery, or upload exports from platforms like Meta, LinkedIn, and email marketing tools. Querri keeps your campaign data ready for analysis in one place.

2

Connect or Upload Sales and Conversion Data

Bring in downstream data from HubSpot (deals, contacts, lifecycle stages) or connect revenue and conversion tables from BigQuery or Google Drive. Querri helps match campaign activity to leads, opportunities, and outcomes automatically.

3

Prompt for Cleaning and Matching

Ask Querri to fix naming inconsistencies or merge datasets. Prompt: "Standardize campaign names and join ad spend with sales data."

4

Apply Attribution Logic

Choose your model: first-touch, last-touch, or custom lookback windows. Try: "Show revenue by campaign using 7-day attribution."

5

Analyze and Automate

Ask: "What's my CAC by platform for Q1?" "Which audience segments had the best ROAS?" Save as a report or dashboard to track over time.

How to optimize ad spend with Querri

Best Practices:

Link Spend to Sales—Not Just Clicks

To get real ROI, connect your ad spend to actual business outcomes. Even without a CDP, joining CRM and campaign exports gives you actionable insight. Querri helps merge the data cleanly, even when formats don't line up.

Clean and Consistent Campaign Naming

Standard UTM parameters and campaign naming conventions help you group and analyze performance more accurately. If names vary across platforms, ask Querri to consolidate them.

Decide on Attribution Strategy

First-touch? Last-touch? Something in between? You don't need to guess. Querri can apply different models and show you what changes.

Add Context with Segments

Looking at ROAS by audience, region, or product category can reveal patterns that aren't obvious in channel-level summaries.

Ad spend optimization best practices

FAQs:

How do I optimize ad spend with AI?
Querri uses agentic AI to analyze ad spend across platforms and connect it to revenue and CRM data. This makes it easy to see which ads are driving results and where budget should be reallocated.
Can I analyze ad performance across multiple platforms?
Yes. Querri lets you analyze ad performance across platforms by bringing Google Ads, Meta, LinkedIn, and other campaign data into a single, unified analysis—without manual exports or stitched spreadsheets.
Do I need a Customer Data Platform (CDP)?
No. Querri works with exported spreadsheets from any system. If you do use a CDP like Segment, you can bring in exported event data for richer attribution.
What if my data is messy or incomplete?
Querri helps clean and join messy datasets using AI, even when fields don't match perfectly. You can prompt it to standardize formats, fill gaps, or apply fallback matching logic before analyzing ad spend.
What attribution models can I use?
You can choose first-touch, last-touch, or define your own lookback window. Querri applies the logic and compares results side by side.
Can I automate these reports?
Yes. Any question you ask can be saved as a report or dashboard, set to update with new data as you upload or connect it.
What's the minimum data I need?
At a minimum, campaign name, spend, and either conversions or revenue. The more context—like audience or product category—the deeper the insights.
Can I combine multiple files for a richer view?
Yes. Querri is designed to help you bring together data from multiple sources—like ad platform exports, CRM downloads, and even sales spreadsheets. You can upload them separately and use prompts like "Join campaign spend with sales by campaign ID" or "Combine Google Ads and Meta data by date and platform" to create a full picture of performance across the funnel.
Will it be easy to repeat this analysis later?
Yes. Just save or automate the workflow so it runs again with your latest data over time.
Frequently asked questions about optimizing ad spend

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