How long does it take to set up Xplainr?

Most teams are up and running in under 5 minutes. Simply connect your marketing channels using OAuth (no API keys needed), and you'll see your first AI-generated insight immediately. There's no complex configuration or data mapping required.

Absolutely. We use bank-level 256-bit AES encryption for all data in transit and at rest. We never store your raw marketing data, only the aggregated metrics needed to generate insights. Our platform is built with enterprise-grade security practices, and we never sell or share your data.

Which marketing platforms do you integrate with?

We currently support Google Analytics 4, Google Ads, Google Search Console, Meta Ads (Facebook & Instagram), and LinkedIn Ads. All integrations use secure OAuth authentication, so you never have to share passwords or API keys.

Can I try Xplainr before committing?

Yes! Start with our Free tier to connect one domain and get 5 AI insights per month, no credit card required.

What if Xplainr doesn't work for me?

No problem - all paid plans come with a 14-day free trial, and you can cancel anytime with one click. If you're not seeing value within the first two weeks, you won't be charged. We're confident you'll see ROI, but there's zero risk to try.

How is Xplainr different from Google Analytics or Looker Studio?

Those tools show charts and expect you to figure them out. Xplainr tells you what happened in plain English, explains why it happened, and recommends what to do next. Instead of building dashboards and manually hunting for patterns, you get AI-generated insights that explain anomalies, identify opportunities, and prioritize your daily actions.

Can my whole marketing team use Xplainr?

Yes! Starter plans include 3 team members, Pro plans include 10, and Enterprise plans have unlimited seats. Team members can share domains, assign action items from insights, and collaborate on priorities - all with role-based permissions.

Do I need technical skills to use Xplainr?

Not at all. Xplainr is built for marketing managers, not data scientists. You can ask Aria (our AI assistant) questions in plain English like 'Why did my conversion rate drop yesterday?' and get clear, actionable answers without writing any queries.

Updated March 2026

Feature

AI Multi-Touch Attribution

TL;DR: Xplainr's AI attribution model analyzes the full customer journey across all touchpoints and channels, showing how each interaction contributes to conversions - replacing biased platform self-attribution with a neutral, data-driven view.

Every ad platform claims credit for your conversions. Google says Google drove it. Meta says Meta drove it. The truth? Most conversions involve multiple touchpoints across multiple channels. Xplainr's AI attribution cuts through the noise with a unified, unbiased view of how your marketing actually works.

Why This Matters

Platform self-attribution is fundamentally broken. Each platform counts conversions based on its own rules - often inflating its contribution by 2-5x. Last-click attribution ignores upper-funnel channels. First-click ignores closing channels. And the sum of all platform-reported conversions often exceeds your actual conversions by 200-300%. You need a neutral arbiter.

Key Capabilities

Unified Attribution

One model across all channels - Google, Meta, LinkedIn, TikTok, organic, email, and more.

AI-Weighted Model

Machine learning determines credit allocation based on actual conversion patterns, not arbitrary rules.

Path Analysis

See common conversion paths and understand how channels work together in the customer journey.

Incrementality Insights

AI estimates the incremental lift of each channel - what would happen if you turned it off?

Attribution Comparison

Compare first-click, last-click, linear, and AI-weighted models side by side.

Revenue Attribution

Attribute actual revenue (from Shopify, HubSpot, etc.) back to marketing touchpoints.

Xplainr vs Typical Tools

Feature	Xplainr	Typical Tools
Model Type	AI-weighted + multiple models	Last-click or platform default
Data Sources	All channels unified	Single platform self-reporting
Bias	Neutral, channel-agnostic	Each platform inflates own credit
Path Visibility	Full journey analysis	Touchpoint-level only
Revenue	Actual revenue from CRM/store	Ad platform conversion values

What Makes Xplainr Different

Neutral attribution - no platform bias in credit allocation

AI learns from YOUR conversion patterns, not generic industry data

Revenue-based attribution using actual sales data from Shopify/HubSpot

Incrementality estimation shows true channel impact

Full path analysis reveals how channels work together, not just independently

Ideal For

Marketing teams running campaigns across 3+ channels

Ecommerce brands needing accurate ROAS by channel

B2B companies with long, multi-touch sales cycles

CMOs justifying channel investment to leadership

Anyone frustrated by conflicting platform attribution data

Frequently Asked Questions

How is AI attribution different from Google's or Meta's attribution?

Platform attribution is biased - each platform counts conversions favorably for itself. Xplainr's AI model is channel-agnostic, analyzing the full journey across all platforms to determine fair credit allocation.

Does it work for B2B with long sales cycles?

Yes. You can configure attribution lookback windows up to 180 days. Combined with HubSpot CRM data, Xplainr tracks the full B2B buyer journey from first touch to closed deal.

How does it handle view-through conversions?

Xplainr shows view-through and click-through attribution separately and lets you adjust the weight of view-through impressions in your model to prevent overvaluing display/video channels.

Can I compare different attribution models?

Yes. View results side-by-side across first-click, last-click, linear, time-decay, and Xplainr's AI-weighted model to understand how model choice affects channel credit.

Related Resources

Cross-Channel Attribution Use Case Cross-Channel Attribution Guide Custom Attribution Models Attribution Model Differences

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