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Data Agent

Three Platforms. Three Numbers. One Truth.

Meta says 847 conversions. Shopify says 1,243. GA4 says 1,876. Dana reconciles them all into one number you can trust.

Your Data Is a Mess. Everyone Knows It.

Dana exists because "single source of truth" shouldn't be marketing copy.

Every Platform Lies Differently

Meta over-reports. Google double-counts. GA4 under-attributes. Shopify shows a different number entirely. Which one do you trust? Right now, whoever shouts loudest.

30-70%variance between platform-reported numbers

Decisions Made on Bad Data

Your team is scaling campaigns, allocating budgets, and reporting to leadership based on numbers that don't agree. Nobody knows which number is right. Everyone pretends it's fine.

$50K+misallocated monthly on conflicting data

Manual Reconciliation Is a Full-Time Job

Someone on your team spends 10-15 hours per week pulling data from 4 platforms, cleaning it, matching it, and building reports. By the time it's done, it's already stale.

10-15 hrsper week on manual data wrangling

Broken Tracking Goes Unnoticed

A pixel breaks. A UTM tag gets misconfigured. An API connection drops. Nobody notices for days. By then, you've lost a week of clean data and every decision in between.

3-7 daysaverage time to catch tracking breaks
Data Reconciliation

Four Platforms. Four Numbers. One Truth.

Dana doesn't average. She reconciles.

Meta Ads
847
Over-reports view-through conversions
Google Ads
1,102
Double-counts cross-device conversions
GA4
1,876
Includes all sessions, not just ad-driven
Shopify
1,243
Counts all orders regardless of source
Dana's Reconciled Truth
987
True ad-driven conversions after de-duplication and source verification
Meta actual
412
-51% from reported
Google actual
318
-71% from reported
Organic
189
correctly attributed
Direct
68
correctly attributed

What Dana Catches Before You Do

She's anxious so you don't have to be. Every discrepancy, every break, every drift.

API Connection Drops

Meta's API fails at 2am. Dana catches it before your morning report shows zeros instead of data. You never see the gap.

Conversion Discrepancies

Google reports 30% more conversions than Shopify can verify. Dana flags the mismatch and traces the source: duplicate events firing on checkout.

UTM Drift

Someone changed the UTM naming convention 3 weeks ago. Half your campaigns are now unmatchable. Dana spots the pattern break and alerts before the data is lost.

Currency and Timezone Mismatches

Your Meta account runs on PST, Google on UTC, Shopify on EST. Revenue numbers never match until Dana normalizes them all to your business timezone.

Pixel and Tag Failures

A site update broke the Meta pixel on mobile. Conversions drop 40% but only on one platform. Dana spots the platform-specific anomaly and flags the root cause.

Duplicate Event Firing

Add to Cart fires twice on mobile Safari. Purchase event triggers on both the checkout page and the thank you page. Dana de-duplicates before it corrupts your data.

Every Number Has a Paper Trail

Dana tracks where every data point came from, when it was pulled, and how it was reconciled. Nobody asked. She gives it anyway.

Source
Meta Ads API v18.0
Campaign: Summer_Sale_Retargeting_2026
Pulled at
9:47am EST, Feb 4 2026
API refresh cycle: every 6 hours
Reconciled with
Shopify Orders API + GA4
Matched on order_id, timestamp, and UTM parameters
Discrepancy found
Meta reported 847, Shopify verified 412
435 view-through conversions removed (non-incremental)
Last verified
3 hours ago
Next reconciliation in 3 hours. No drift detected.

How Dana Works

Ingest. Clean. Reconcile. Serve. The foundation nobody sees but everyone depends on.

01

Ingest Every Source

Meta, Google, TikTok, Shopify, GA4, and any custom sources. Dana pulls data on a scheduled cadence and monitors for connection health in real time.

If an API drops at 2am, she catches it before your 9am report.

02

Normalize and Clean

Timezones aligned. Currencies converted. Naming conventions standardized. Duplicate events removed. Raw data becomes usable data.

The boring work that breaks everything when it's done wrong.

03

Reconcile Across Platforms

Cross-reference every number. Match orders to ad clicks. Verify conversions against Shopify receipts. Identify and explain every discrepancy.

Not averaging. Reconciling. There's a difference.

04

Serve Clean Data to Every Agent

Felix gets clean numbers for forecasts. Parker gets verified conversions for attribution. Sam gets grounded baselines for simulations. One truth feeds everything.

Every agent is only as good as the data underneath.

The Perfectionist Who Needs Everything in Its Place

Who Dana Is

Chaos makes Dana anxious. When Meta says 847 conversions but Shopify shows 1,243 and GA4 shows 1,876? Dana can't rest until that's reconciled. Down to the last conversion.

"This data was pulled at 9:47am from Meta's API, refreshed every 6 hours, last reconciled 3 hours ago." Nobody asked. She gave it anyway.

Fears

A decision being made on bad data. Two systems showing different numbers and nobody noticing.

Dreams

Every number traceable, verifiable, and matching across every system. "Single source of truth" as reality, not marketing copy.

The Moment That Changed Everything

A client was panicking about a 23% drop in conversions. Their analyst spent 4 hours investigating. Dana reconciled the data with Shopify and realized: Meta's tracking broke. Actual conversions were fine. The panic was based on a lie. That's when she understood: her job is being the ONE source people can trust when everything else screams different numbers.

Collaborates With

Felixclean data for accurate forecasts
Parkerverified conversions for true attribution
Samgrounded baselines for simulations

Before Dana vs After Dana

Before Dana
After Dana
Every platform shows a different number
One reconciled truth across all platforms
Manual data wrangling 10-15 hrs/week
Automated ingestion, cleaning, reconciliation
Tracking breaks go unnoticed for days
Real-time pipeline monitoring and alerts
No provenance. 'Where'd this number come from?'
Full audit trail for every data point
Agents build on conflicting data
Every agent reads from one verified source
Timezone, currency, naming convention chaos
Normalized before anyone sees it
4+
Platforms unified
Meta, Google, TikTok, Shopify, GA4
6 hrs
Reconciliation cadence
automatic, around the clock
100%
Provenance coverage
every number has a paper trail
Minutes
Break detection
not days

Questions About Dana

Dana currently unifies data from Meta Ads, Google Ads, TikTok Ads, Shopify, and GA4. Additional integrations are added based on client needs. The architecture is built to handle any platform with an API.

ETL tools move data. Dana understands it. She doesn't just pipe numbers from A to B. She reconciles discrepancies, tracks provenance, catches breaks, and serves clean data to every agent. A warehouse stores your mess. Dana fixes it.

Most issues are caught within minutes. API drops, pixel failures, and event duplications trigger immediate alerts. Slower-moving issues like UTM drift are caught in the next reconciliation cycle, typically within 6 hours.

No. Dana works alongside your existing tools. She reads from your platforms and can write to your warehouse, BI tools, or reporting systems. Think of her as the reconciliation layer that sits on top of your existing infrastructure.

She's the foundation. Felix can't forecast without clean data. Parker can't attribute without verified conversions. Sam can't simulate without accurate baselines. Olivia can't analyze creatives without reliable performance numbers. Every agent depends on Dana's truth.

See Your Data Unified in One Place

30-min demo. Bring your platforms. Watch Dana reconcile the numbers you've been arguing about.

Connects in 5 min
First reconciliation in 24 hrs
Full provenance from day one