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.

SQL

Sales Qualified Lead (SQL)

A Sales Qualified Lead (SQL) is a lead that has been vetted by the sales team and confirmed as ready for direct sales engagement. SQLs have demonstrated genuine intent to purchase and meet the criteria for active sales pursuit.

Example

Scenario

After a discovery call with an MQL, the sales rep confirms: the prospect has budget, authority to purchase, a clear need for your solution, and wants to implement within the next quarter.

Result

The lead is upgraded from MQL to SQL, indicating sales should actively pursue the opportunity with proposals and negotiations.

When to Use Sales Qualified Lead

1Tracking sales team efficiency and pipeline health
2Measuring MQL to SQL conversion rates
3Forecasting revenue based on qualified pipeline
4Aligning sales and marketing on lead quality
5Identifying bottlenecks in the sales process

Common Mistakes

✗Sales accepting all MQLs as SQLs without proper qualification
✗Inconsistent SQL criteria across different sales reps
✗Not tracking why MQLs fail to convert to SQL
✗Focusing only on SQL quantity instead of close rates

SQL Qualification Frameworks

Common frameworks for SQL qualification:

BANT: Budget, Authority, Need, Timeline
MEDDIC: Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion
CHAMP: Challenges, Authority, Money, Prioritization

SQL to Close Rate

Track your SQL to customer conversion rate to measure sales effectiveness. If SQLs aren't converting, investigate qualification criteria, sales process, or competitive positioning.

Frequently Asked Questions

What makes a lead an SQL?

Common SQL criteria include: confirmed budget and timeline, decision-making authority, clear and acknowledged need for your solution, good fit with your product capabilities, and active engagement with sales.

What is a good MQL to SQL conversion rate?

Industry averages range from 15-30%. This varies by industry, sales cycle, and how strictly MQL is defined. Focus on improving the rate over time rather than hitting a specific benchmark.

How do BANT criteria relate to SQLs?

BANT (Budget, Authority, Need, Timeline) is a common framework for SQL qualification. A lead meeting BANT criteria typically qualifies as an SQL, though modern approaches may weight these factors differently.

Who decides if a lead is an SQL?

The sales team makes the final SQL determination, usually during or after the first qualifying conversation. Marketing can suggest SQL status, but sales validates based on direct interaction.

Related Terms

MQL

Marketing Qualified Lead

CAC

Customer Acquisition Cost

Funnel Metrics

Tracking conversion stages

LTV

Customer Lifetime Value

Learn More

Comparisons

Stop Calculating, Start Growing

Xplainr automatically tracks your Sales Qualified Lead across all channels and tells you exactly what's driving changes - no spreadsheets required.

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