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.

Xplainr - AI Marketing Intelligence

Standard marketing metrics like CTR, CPC, and ROAS tell a partial story. They measure what platforms track, not what your business actually needs to know. Custom KPIs let you build metrics that answer your specific business questions - from composite health scores to AI-decomposed driver analysis.

Why Standard Metrics Fall Short

Every business has unique economics, customer journeys, and competitive dynamics. Standard metrics can't capture:

Multi-factor performance: A campaign might have great CTR but terrible customer quality. You need a composite score
Business-specific economics: A subscription business needs different metrics than an e-commerce store
Cross-channel interactions: How email engagement affects paid ad conversion rates
Time-weighted performance: How performance compounds or decays over customer lifecycles

While marketing KPIs provide a foundation, custom metrics fill the gaps where generic measurement fails.

Types of Custom Metrics

Calculated fields: Simple formulas combining existing metrics (e.g., Revenue per New Customer = Revenue ÷ New Customers)
Composite scores: Weighted combinations of multiple signals into a single health or quality score
Ratio metrics: Efficiency measures that normalize performance (e.g., Cost per Qualified Lead vs. Cost per Any Lead)
Trend metrics: Week-over-week or month-over-month change rates that highlight momentum
Predictive metrics: Forward-looking estimates based on leading indicators

Building Your First Custom KPI

Follow our step-by-step guide to create your first custom metric. The process: identify the business question → select input data → design the formula → validate with historical data → automate tracking → review and iterate.

AI-Powered Decomposition

Modern analytics platforms can automatically decompose metrics into contributing factors. When your blended ROAS drops 15%, AI identifies whether it was driven by higher CPMs, lower conversion rates, a channel mix shift, or a combination. This turns "what changed" into "why it changed" automatically.

Industry-Specific Examples

Custom KPIs vary dramatically by business model. See our industry-specific examples for e-commerce (product velocity index), SaaS (expansion revenue efficiency), and professional services (utilization-adjusted ROI).

Avoiding Vanity Formulas

Not every custom metric is a good one. Vanity formulas look impressive but don't drive action. The best custom KPIs are actionable (someone can change behavior based on them), comparable (meaningful over time), and honest (can't be easily gamed).

How Xplainr Helps

Xplainr's custom calculated metrics engine lets you build formulas combining any data from your connected platforms, with AI-powered decomposition to explain what's driving your numbers.

See AI Diagnosis in Action

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Custom KPIs: Why Standard Metrics Are Not Enough

Why Standard Metrics Fall Short

Types of Custom Metrics

Building Your First Custom KPI

AI-Powered Decomposition

Industry-Specific Examples

Avoiding Vanity Formulas

How Xplainr Helps

Explore This Cluster

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Custom KPIs by Industry: Examples for E-Commerce, SaaS, and Services

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