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

Dashboards vs Insights

Dashboards show you the data; insights tell you what it means. Most marketers have too many dashboards and not enough insights. The shift from monitoring to understanding is where real value lies.

Quick Definitions

Dashboards

Dashboards display data visualizations that show current and historical performance. They answer "what is happening" by presenting metrics, charts, and trends.

Insights

Insights are actionable conclusions derived from data analysis. They answer "why is this happening" and "what should I do" by surfacing patterns and recommendations.

Side-by-Side Comparison

Aspect	Dashboards	Insights
Primary question	What is happening?	Why and what to do?
User action	Look and interpret	Read and act
Delivery	On-demand, pull-based	Proactive, push-based
Analysis required	High - you do the work	Low - analysis is done
Context	Numbers without narrative	Narrative with numbers
Time to action	Minutes to hours	Seconds to minutes
Skill required	Data interpretation	Decision-making

Pros & Cons

Dashboards

Advantages

Show real-time data status
Customizable views
Good for monitoring KPIs
Visual and intuitive

Limitations

Require interpretation
Don't explain why things happen
Can overwhelm with data
Passive - wait for you to notice

Insights

Advantages

Proactive and actionable
Explain causation
Prioritize what matters
Save analysis time

Limitations

Depend on AI/analyst quality
May miss context you have
Can be prescriptive
Less customizable

When to Use Each

Use Dashboards when...

You need to monitor ongoing performance. You want to create custom views for different stakeholders. You're doing exploratory analysis.

Best for:

Daily monitoring: Checking campaign status
Executive overviews: High-level snapshots
Custom views: Role-specific metrics

Use Insights when...

You need to understand why performance changed. You want proactive alerts about issues. You want to reduce time spent in spreadsheets and reports.

Best for:

Decision-making: Knowing what to do next
Problem diagnosis: Understanding root causes
Time-saving: Skip manual analysis

How They Work Together

Dashboards provide the foundation - accurate, up-to-date data. Insights build on that foundation by analyzing patterns and surfacing what matters. Use dashboards for monitoring and deep dives; use insights for daily decisions and anomaly detection.

How Xplainr Handles This

Xplainr combines both: we connect your data sources into a unified dashboard, then layer AI-powered insights that explain what changed, why it matters, and what to do. You get monitoring AND understanding in one place.

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Related Resources

Dashboard Best Practices AI Analytics Explained Automated Marketing Insights Unified Marketing View

Frequently Asked Questions

Do I still need dashboards if I have insights?

Yes. Dashboards are valuable for monitoring, deep dives, and stakeholder reporting. Insights augment dashboards by surfacing what matters, but don't replace the need to explore data yourself.

Can dashboards generate insights automatically?

Traditional dashboards don't - they just display data. AI-powered analytics platforms like Xplainr layer insights on top of dashboard data to provide both capabilities.

How do I know if insights are accurate?

Good insight platforms explain their reasoning, not just conclusions. Look for transparency about data sources, confidence levels, and the logic behind recommendations.