Every Platform Tells You a Different Story
Every platform reports its own metrics in isolation, inflating its contribution and ignoring what happened downstream. Click-through rates don’t tell you about revenue. Impressions don’t tell you about pipeline. The only way to know what’s really working is to merge ad spend with CRM revenue and run real analysis across the combined dataset. That used to mean weeks of pipeline construction. QuantumLayers does it in minutes.
From Scattered Data to Cross-Channel Attribution
Here’s exactly how a growth team builds the kind of attribution view that typically takes weeks of data engineering.
1. Connect your CRM
Use the SQL connector for a CRM backed by MySQL, PostgreSQL, or SQL Server. For SaaS CRMs like HubSpot or Salesforce, use the API connector, which authenticates with API keys, bearer tokens, or OAuth. Pre-built query templates cover common patterns like deals closed in the last 12 months with source attribution. If you’re unsure what query to use, QL-Agent generates one from a plain-English description.
2. Pull in your ad platform data
Connect any platform that exposes a JSON REST API. The API connector supports API keys, bearer tokens, and OAuth with refresh tokens, so authorized connections keep syncing without manual reauthentication. Platforms like Google Ads and Meta Ads are reachable this way. QuantumLayers auto-detects the response structure – direct arrays, nested wrappers, paginated formats – and converts everything into a clean, structured dataset. No parsing scripts required.
3. Import your campaign tracking sheet
If your team maintains UTM mappings, budget allocations, or campaign metadata in Google Sheets, connect it directly. QuantumLayers syncs every hour, so when someone updates the sheet, your analysis stays current.
4. Merge on campaign name or UTM
This is where it comes together. QuantumLayers merges CRM deals, ad spend, and campaign metadata into a single dataset, joining on campaign_name, utm_source, or customer_id. Schema alignment and deduplication are handled automatically. The result: a unified table connecting every dollar of ad spend to pipeline and closed revenue.
5. Get answers, not just charts
QuantumLayers runs correlation analysis between spend and revenue, identifies statistically significant campaign winners, flags outlier periods, and detects trend shifts. The AI then translates it into business language: “Paid search CPA increased 34% month-over-month while organic conversion rate held steady, consider reallocating budget toward content-driven acquisition.”
Total setup time: under 10 minutes
No pipelines to build, no infrastructure to maintain, no data engineer to schedule time with. Connect the sources, merge them, and read the insights.
What Changes When You Switch
The difference between reporting on channels and knowing what they’re worth.
| Before | After |
|---|---|
| Each platform reports its own inflated conversion numbers | A single unified view connecting ad spend to CRM revenue |
| Cross-channel analysis requires a data engineer and weeks of setup | Connect, merge, and analyze in under 10 minutes |
| You interpret charts yourself, hoping to spot patterns | AI explains what the data means and recommends specific actions |
| Manual data exports every time something changes | Live sync every hour from all connected sources |
| Weekly reporting means hours of slide deck assembly | Scheduled reports with charts and insights delivered automatically |
| “We think paid search is working”, based on platform metrics | “Paid search drives 2.4x ROI vs. display”, based on merged revenue data |
Beyond Attribution: What Else Marketing Teams Analyze
Same connectors, same statistical engine, applied to the rest of your funnel.
Lead Scoring & Funnel Velocity
Combine CRM pipeline stages with marketing touchpoints to find where leads stall and which sequences accelerate deals. QuantumLayers correlates engagement with outcomes statistically.
Content & SEO Performance
Pull Search Console or analytics API data alongside conversion metrics. Find pages with high impressions but poor engagement, backed by correlation, not guesswork.
A/B Testing Significance
Import test results from any platform via API or CSV. QuantumLayers runs statistical significance tests automatically so you know whether a winner is real or noise.
Email & Automation Impact
Merge Mailchimp or SendGrid data with downstream revenue. Measure the actual business value of your nurture sequences, not just open rates and clicks.
Lifetime Value by Acquisition Source
Merge acquisition source with purchase history over time. Discover which channels bring in customers with the highest long-term value, not just the lowest CPA.
Automated Weekly Reports
Stop building slide decks every Monday. Schedule automated reports combining cross-channel charts, AI insights, and KPIs, delivered to your team’s inbox in HTML or PDF.
Frequently Asked Questions
Yes. Any platform with a JSON REST API can be connected, authenticating with an API key, bearer token, or OAuth with refresh tokens. Google Ads and Meta Ads work this way; the main prerequisite is completing each platform’s own app-registration and API-access approval, which some providers restrict. Support for other ad platforms depends on their individual API access policies. QuantumLayers auto-detects the JSON structure and creates a clean dataset.
Yes. Join datasets from different sources on any shared column: campaign name, UTM parameters, customer ID. Schema alignment is automatic.
No, it complements it. QuantumLayers pulls data from GA and other platforms, then combines it with CRM and revenue data for a unified cross-channel view no single tool can provide.
Connected sources sync hourly. SQL and API connections query live. You can trigger a manual refresh at any time.
Explore Further
How the rest of the platform works, and where the analysis comes from.