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.

Troubleshooting Guide

GA4 Numbers Don't Match

Your GA4 data shows different numbers than Google Ads, Meta Ads, or your backend. Here's why this happens and how to reconcile the differences.

Symptoms You're Seeing

1
GA4 shows fewer conversions than Google Ads reports
2
Session counts in GA4 don't match clicks from ad platforms
3
Revenue in GA4 is significantly lower than your actual sales
4
Traffic sources show different numbers across platforms
5
User counts vary dramatically between reports

Common Causes

1. Different Attribution Models

GA4 uses data-driven attribution by default, while Google Ads uses last-click for conversion reporting. Each platform attributes conversions differently.

2. Sampling and Thresholds

GA4 applies thresholds to protect user privacy and samples data for large datasets. This can significantly reduce reported numbers.

3. Cookie Consent and Tracking Blockers

Users who reject cookies or use ad blockers appear in ad platform data (from clicks) but don't get tracked in GA4.

4. Session Definition Differences

GA4 defines sessions based on 30-minute inactivity timeout, while ad platforms count clicks. One user can click an ad multiple times but only have one session.

5. Cross-Device and Cross-Browser Issues

Users who click on mobile but convert on desktop may not be linked in GA4, especially without User-ID implementation.

Step-by-Step Diagnosis

Check Attribution Settings

Compare attribution windows across platforms. GA4 defaults to 30-day attribution, Google Ads may use 30 or 90 days. Align settings for apples-to-apples comparison.

Review Data Thresholds

In GA4, check if you see "(data threshold applied)" in reports. This means data is being hidden to protect user privacy. Try broader date ranges or aggregated reports.

Audit Consent Mode

Check your cookie consent implementation. Ensure consent mode is properly configured. Look at consent rates - if 40%+ opt out, significant data will be missing.

Compare Click vs. Session Data

Don't compare clicks to sessions - they measure different things. Compare user counts or unique clicks where possible. Expect 15-30% variance as normal.

Validate with Backend Data

Use your CRM, e-commerce platform, or database as the source of truth. Compare all platforms against this baseline to understand each platform's accuracy.

How to Reconcile the Data

Perfect matching is impossible, but you can minimize discrepancies:

Accept a baseline variance: 10-20% difference between platforms is normal and expected. Focus on trends rather than absolute numbers.
Implement Consent Mode v2: Google's Consent Mode helps model conversions from users who don't consent, improving data accuracy.
Use Server-Side Tracking: Implement GA4 server-side tagging to capture more data that client-side tracking misses.
Set Up Google Ads Linking: Properly link Google Ads to GA4 for consistent attribution and auto-tagging.
Create a Single Source of Truth: Choose one platform for each metric type and stick to it for reporting consistency.

Learn more about cross-channel attribution →

Let AI Monitor This For You

Xplainr automatically reconciles data from Google Ads, Meta, GA4, and your backend - giving you one consistent view of performance. Our AI explains discrepancies so you understand what's happening, not just what the numbers say.

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Prevention Tips

Document Your Methodology

Create a data dictionary that explains which platform you use for which metrics and why.

Regular Data Audits

Monthly comparison of key metrics across platforms helps catch drift early.

UTM Consistency

Use consistent UTM parameters across all campaigns for cleaner attribution.

Unified Reporting Layer

Use a tool like Xplainr to normalize data from multiple sources automatically.

Frequently Asked Questions

Why does GA4 always show fewer conversions?

GA4 is typically more conservative due to cookie consent, ad blockers, and cross-device limitations. It captures what it can verify, while ad platforms often estimate or model additional conversions.

Which platform should I trust for conversion data?

Use your backend (CRM, e-commerce platform) as the ultimate source of truth for actual business results. Use ad platforms for campaign optimization, and GA4 for understanding user behavior.

Can I ever get 100% data matching?

No. Due to fundamental differences in how platforms collect, process, and attribute data, perfect matching is impossible. Focus on trend alignment and maintaining consistent methodology.

Related Troubleshooting Guides

Attribution Mismatch Google Ads Not Converting Meta Ads ROAS Declining Traffic Dropped