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 Budget Optimizer

TL;DR: Xplainr's AI Budget Optimizer analyzes marginal returns across all your connected channels and recommends where to shift spend for maximum ROI - something no single-platform tool can do.

Every marketer faces the same question: 'Where should my next dollar go?' Platform-specific tools each tell you to spend more on their platform. Xplainr's Budget Optimizer takes a channel-agnostic view, analyzing diminishing returns curves across all channels to recommend optimal allocation.

Why This Matters

Marketing budgets are allocated based on habit, gut feel, or platform recommendations - all of which are biased. Google will always tell you to spend more on Google. Meta will always tell you to spend more on Meta. Without a neutral, cross-channel view of marginal returns, you're almost certainly misallocating budget.

Key Capabilities

Marginal ROAS Analysis

See diminishing returns curves for every channel - know exactly where each additional dollar stops being efficient.

Reallocation Recommendations

AI suggests specific dollar amounts to shift between channels for maximum overall ROAS.

Scenario Planning

Model "what-if" scenarios - what happens if I increase Meta by 20%? Cut LinkedIn by 50%?

Pacing Monitoring

Track daily spend against targets across all channels with over/under-delivery alerts.

Historical Efficiency

Analyze how budget efficiency has changed over time to identify long-term trends.

Seasonality Adjustment

AI accounts for seasonal patterns when making budget recommendations.

Xplainr vs Typical Tools

Feature	Xplainr	Typical Tools
Analysis Scope	All channels simultaneously	Single platform only
Bias	Channel-agnostic recommendations	Platform pushes own spend
Marginal Analysis	Diminishing returns curves	Average ROAS only
Scenario Planning	What-if modeling built in	Manual spreadsheet work
Automation	AI-generated recommendations	Manual analysis required

What Makes Xplainr Different

Channel-agnostic analysis - no platform bias in recommendations

Marginal ROAS, not average ROAS - knows where efficiency actually drops

Cross-channel scenario planning with AI-powered forecasting

Accounts for seasonality, competition, and historical patterns

Recommendations backed by actual data, not generic rules of thumb

Ideal For

Marketing teams managing $20K+/month across multiple channels

Performance marketers seeking to maximize overall ROAS

CMOs justifying budget allocation to leadership

Agencies optimizing client budgets across platforms

Ecommerce brands with dynamic seasonal budgets

Frequently Asked Questions

How does the AI determine optimal allocation?

Xplainr analyzes marginal returns - the incremental return from each additional dollar spent - across all channels. It identifies where diminishing returns kick in on over-invested channels and where efficiency headroom exists on under-invested ones.

Does it account for different attribution windows?

Yes. The Budget Optimizer normalizes for different attribution models and windows across platforms to ensure fair cross-channel comparison.

Can I set constraints (minimum/maximum per channel)?

Absolutely. Set minimum spend floors for brand awareness channels and maximum caps for testing channels. AI optimizes within your constraints.

How often should I review budget recommendations?

Xplainr updates recommendations weekly based on latest performance data. We recommend reviewing monthly for strategic shifts and weekly for tactical adjustments.

Related Resources

Budget Optimization Use Case Budget Allocation Guide Predictive Budget Allocation Analytics Tool TCO

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