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

B2B Marketing Analytics vs B2C Marketing Analytics

B2B and B2C analytics share foundations but differ in what matters. B2B focuses on pipeline and accounts; B2C focuses on transactions and customers. Choosing the wrong metrics for your model leads to wrong decisions.

Quick Definitions

B2B Marketing Analytics

B2B analytics tracks marketing performance for business-to-business companies, focusing on lead generation, pipeline, and long sales cycles.

B2C Marketing Analytics

B2C analytics tracks marketing performance for consumer businesses, focusing on transactions, customer acquisition, and shorter purchase cycles.

Side-by-Side Comparison

Aspect	B2B	B2C
Primary conversion	Lead/MQL/SQL	Purchase/signup
Sales cycle	Weeks to months	Minutes to days
Decision maker	Committee/multiple	Individual
Key metrics	Pipeline, CAC, LTV, MQL-to-SQL	ROAS, conversion rate, AOV
Attribution window	30-90 days	7-30 days
Data volume	Lower (100s of leads)	Higher (1000s of transactions)
Personalization	Account-based	Segment-based

Pros & Cons

B2B Marketing Analytics

Advantages

Higher customer lifetime value
More touchpoints to analyze
CRM integration enables closed-loop
Account-level insights

Limitations

Longer attribution windows needed
Smaller sample sizes
Multi-stakeholder buying
Offline conversions complicate tracking

B2C Marketing Analytics

Advantages

Higher conversion volumes
Faster feedback loops
Easier A/B testing
More direct attribution

Limitations

Lower individual transaction value
Less relationship depth
More price sensitivity
Higher competition

When to Use Each

Use B2B when...

You sell to businesses with buying committees. Your average deal size is $1000+. Sales cycles are weeks or months. You have a sales team involved in closing.

Best for:

Lead generation: MQL/SQL tracking
Account-based marketing: Company-level analysis
Content marketing: Long nurture sequences

Use B2C when...

You sell directly to consumers. Purchases happen in one session or a few. Average transaction is under $500. No sales team - self-service conversion.

Best for:

E-commerce: Direct purchase tracking
App marketing: Installs and in-app events
Subscription: Trial-to-paid conversion

How They Work Together

Many businesses have B2B and B2C elements. A software company might have self-serve B2C (direct signup) and enterprise B2B (sales-assisted). Use B2C analytics for the self-serve funnel and B2B analytics for enterprise. Don't force one model on both.

How Xplainr Handles This

Xplainr adapts to your business model. For B2B, we track leads through pipeline and connect marketing to closed revenue. For B2C, we focus on transaction-level ROAS and customer acquisition costs. Our AI speaks your language, not generic metrics.

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Related Resources

B2B Marketing Analytics Guide MQL vs SQL Closed-Loop Reporting Calculate Marketing ROI

Frequently Asked Questions

Can I use the same analytics platform for B2B and B2C?

Yes, but configure it differently. B2B needs longer attribution windows, lead scoring, and CRM integration. B2C needs transaction tracking, cohort analysis, and faster reporting cycles.

Why does B2B need longer attribution windows?

B2B purchases involve research, demos, procurement, and multiple stakeholders. A prospect might click an ad in January and sign a contract in April. Short windows miss this connection.

What about SaaS? Is it B2B or B2C?

SaaS is often both. PLG (product-led growth) SaaS uses B2C-style analytics for self-serve, while enterprise SaaS uses B2B analytics for sales-assisted deals. Many SaaS companies need both.