Your ROAS dipped after a sale.Your reporting tool reported it as a drop.

THE PROBLEM

Data without context is just noise with a dashboard.

Performance teams today are drowning in data and starving for decisions. Every tool in your stack - Meta, Google, Shopify, your attribution platform reports what happened. None of them understands what it means.

A ROAS dip during a flash sale is expected. A ROAS dip caused by creative fatigue on day 14 is a fire. Your current stack treats both identically as a number that went down.

The real cost of unintelligent reporting:

• Panic decisions on metrics that were never actually broken

• Real problems like creative fatigue, funnel leaks, and budget misallocation were missed entirely

• 3 hours every Monday, building a report that has no opinion

• blind creative testing leading to wasted ad spends

OUR SOLUTION

Context is the product.

Your ROAS didn't drop. Your audience moved.

Meta saw it in the bid stream. Shopify saw it in the cart abandonment. Google saw it in the search intent shift. None of them told you because none of them talks to each other.

Clevrr does.

Every signal, every platform, every context layer, starting from promo windows, creative fatigue, frequency curves, funnel sequencing, SKU velocity, delivery SLAs, customer persona, product persona, macros, calendars, and 1000+ mathematical correlations synthesised in real time into one thing: the decision you should have made yesterday.

What intelligence looks like in numbers:

• < 2 minutes  from anomaly to root cause to to-do list with context, not just a number

• $58K  in ad spend saved across 11 teams in 45 days by acting on the right signals

• 150 hours  saved per team per month, zero spreadsheets, zero manual stitching

• 4/5 teams that see Clevrr AI, buy it 

WHAT WE SHIPPED

Six capabilities. One purpose: replace reaction with intelligence.

01  Root Cause Analysis Canvas

Clevrr doesn’t just flag anomalies, it diagnoses them. It cross-references creative frequency, audience overlap, budget pacing, and historical patterns to tell you exactly what caused a shift and what to do next. Confidence-scored, prioritised, and ready to act on.

02  Contextual Product Level Monitoring

Most attribution tools stop at the collection. Clevrr goes deeper. We intelligently map your UTM parameters against your Shopify product catalogue, down to the SKU, so you see exactly which product inside a collection ad is driving revenue and which one is dragging your ROAS. For the first time, performance decisions happen at the product level, not the campaign level.

03  Creative Intelligence

Know when a creative is fatiguing before the data breaks. Score your ads, identify which hooks are losing steam, and generate variants grounded in what has actually worked for your teams. 1.5x more winning creatives shipped.

04  Klev a day, keeps wasted spends away

Ask Klev anything. It knows your data, your history, and your context, giving you answers that account for all three. Summaries, to-do lists, and deep funnel analysis in plain English.

05  Intelligent Scheduled Reports

Not a data dump. A morning briefing that already knows what matters today. Set your metrics and cadence once, and Clevrr delivers a report with context, not just numbers.

06  Multi-Channel Connectors

Live integrations with Shopify, Meta, Google Ads, and delivery partners. Intelligence only works when the data is complete. We connect every channel so nothing falls through the cracks. Amazon full-stack integration is shipping shortly.

THE ASK

Stop reporting. Start deciding.

We’re live with 21 teams managing $10M+ in ad spend. The teams using Clevrr aren’t just saving time, they’re making decisions their competitors can’t make.

If you run a performance team spending $8,000 monthly on ads, start a 14-day free trial. The first root cause analysis is on us.

• Start your 14-day free trial at getclevrr.com

• Book a demo and we’ll run a live RCA on your own data so you see the intelligence firsthand

• Know a team or agency that’s tired of reporting tools? Introduce us.

Built by Yuvraj Dagur and Raghav Mishra. Eight people. Bengaluru. Disrupting a $500B industry one context-blind tool at a time.