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.

Comparison Guide

Native Platform Analytics vs Unified Analytics

Native analytics give you depth in each platform. Unified analytics give you breadth across platforms. Most marketers need both - the question is which deserves more of your time.

Quick Definitions

Native Platform Analytics

Native analytics are the reporting tools built into each marketing platform - Google Ads dashboard, Meta Ads Manager, LinkedIn Campaign Manager, etc.

Unified Analytics

Unified analytics tools aggregate data from multiple platforms into a single view, normalizing metrics and enabling cross-channel analysis.

Side-by-Side Comparison

Aspect	Native	Unified
Data sources	One platform	Multiple platforms
Data depth	Maximum granularity	Aggregated/summarized
Cost	Free	Subscription required
Cross-platform view	Impossible	Core feature
Metric definitions	Platform-specific	Normalized
Time to report	Login to each tool	One dashboard
Attribution view	Self-serving	Neutral/cross-channel

Pros & Cons

Native Platform Analytics

Advantages

Free with platform usage
Most granular data available
Real-time updates
Deepest platform features

Limitations

Siloed - can't see across platforms
Each has different definitions
Self-serving attribution
Requires logging into multiple tools

Unified Analytics

Advantages

Single source of truth
Cross-channel comparison
Consistent definitions
Time-saving

Limitations

Less granular than native
Additional cost
Data latency possible
Dependent on integrations

When to Use Each

Use Native when...

You're doing deep optimization within one platform. You need to troubleshoot platform-specific issues. You want the most granular, real-time data available.

Best for:

Single-channel optimization: Deep platform-specific work
Campaign management: Daily bid/creative changes
Troubleshooting: Diagnosing platform issues

Use Unified when...

You run campaigns across 3+ platforms. You need to compare performance and allocate budget. You want to save time on reporting. You need consistent metrics for stakeholders.

Best for:

Multi-channel strategy: Comparing performance across platforms
Executive reporting: Holistic marketing view
Budget allocation: Where to invest next

How They Work Together

Use unified analytics for the big picture - which channels are performing, where to invest, how overall marketing is doing. Use native analytics for the details - optimizing within each channel, troubleshooting issues, accessing features only the platform provides.

How Xplainr Handles This

Xplainr unifies data from Google Ads, Meta, LinkedIn, GA4, and more into a single view with consistent metrics. You get the cross-channel perspective of unified analytics plus AI that explains what's happening across your entire marketing stack.

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Related Resources

Unified Marketing View Dashboards vs Insights Marketing Stack Audit Looker Studio Alternatives

Frequently Asked Questions

Do I need unified analytics if I only use one platform?

Probably not. If you're 90%+ on one platform (e.g., only Google Ads), native analytics may be sufficient. Consider unified when you add significant spend to a second platform.

Will I lose data detail with unified analytics?

Some detail, yes. Unified tools aggregate data and may not expose every platform-specific metric. But for strategic decisions, this level of detail is usually not needed.

How do unified tools handle attribution differences?

Good unified tools normalize attribution by applying consistent models across platforms. This reveals which channels are over- or under-reporting based on their native attribution.