So What Labs

What Is So What Labs?

So What Labs is a marketing optimization platform that brings multi-channel marketing data into a shared intelligence layer to streamline digital marketing campaigns. Utilizing channel-specific optimizers, morning briefings, and proactive alerts, the platform delivers consolidated visibility into overall marketing performance.

Known for its autonomous execution capabilities, So What Labs allows teams to pause non-converting campaigns and rebalance budgets during off-hours. These capabilities help marketers identify hidden ad spend leaks, uncover cross-channel opportunities, refine organic keyword targets, and run cohesive strategies to improve marketing performance.

What Is So What Labs Best For?

The software is best known for its AI Content Engine, which generates content across 16 formats using cross-channel performance insights. The engine identifies SEO gaps, top-performing ad angles, and customer behavior to produce on-brand content aligned with a business's marketing performance. This helps marketing teams create content based on proven performance, reducing guesswork, and making it easier to develop content that supports broader marketing goals.

How Much Does So What Labs Cost?

So What Labs pricing starts at £499/month for the Ecommerce Growth Suite’s starter plan. It covers nine apps and supports up to 100,000 monthly visits. The software also offers a free marketing scan. Further Ecommerce Growth Suite pricing plans are listed below:

• Scale - £1,299/month
• Enterprise - From £2,999/month

B2B Growth Suite Plans:

• Starter - £999/month
• Scale - £2,499/month
• Enterprise - From £5,999/month

The software also offers individual apps with the same three tiers, starting at £100/month for the Google Analytics Engine, Shopify Strategy Engine, and AI Content Engine.

The following price range is merely an estimate for budgetary purposes:

• Implementation And System Configuration: £500–£3,000 - Covers account configuration, marketing-channel setup, tracking configuration, dashboard customization, and workflow setup (Approximately USD $675–$4,050)
• Custom Analytics And Reporting: £1,000–£10,000/year - Accounts for advanced dashboards, attribution analysis, historical data analysis, and specialized marketing intelligence (Approximately USD $1,350–$13,500/year)
• Data Integration And Tracking Setup: £500–£5,000 - Connecting analytics, e-commerce, CRM, advertising, SEO, and email marketing data sources can require additional technical configuration (Approximately USD $675–$6,750)
• Ongoing Support And Managed Services: £500–£3,000/month - Includes campaign monitoring, reporting, tracking maintenance, and data quality management (Approximately USD $675–$4,050/month)

Disclaimer: The pricing is subject to change.

So What Labs Integrations

The software supports integration with multiple platforms, such as:

• Google Ads
• Meta Ads
• TikTok Ads
• Amazon Ads
• Shopify software
• Klaviyo
• Google Analytics

How Does So What Labs Work?

Here's how you can start using So What Labs software after logging in:

• Connect your marketing channels to consolidate data under one intelligence layer
• Review morning briefings to examine key performance changes and daily recommendations across connected accounts
• Ask cross-channel queries to explore connected marketing data using plain English
• Review AI-generated recommendations based on your account data, algorithms, and marketing best practices
• Configure guardrails such as spend limits and action caps to control autonomous execution
• Approve significant changes while allowing routine optimizations to run automatically
• Monitor proactive alerts and automated actions across your connected marketing channels
• Use auto-generated reports to share marketing performance and insights with stakeholders

Who Is So What Labs For?

So What Labs software is designed for businesses across multiple industries, including:

• Advertising
• E-commerce
• Marketing
• Retail
• Media
• Professional services

So What Labs Use Cases

Based on So What Lab's current capabilities, the following scenarios represent strong potential fits for the platform:

1. Detecting Wasted Ad Spend Across Channels

Marketing teams managing Google Ads, Meta, and other paid channels may struggle to identify wasted spend when each platform evaluates performance independently. Its cross-channel intelligence layer combines information from connected advertising, ecommerce, analytics, and SEO channels to identify gaps that individual platforms may miss. Teams can then review recommendations for issues such as PPC cannibalization or campaigns generating spend without conversions and take corrective action.

2. Managing Campaign Performance Outside Business Hours

Performance marketing teams may discover sudden increases in CPA or other campaign problems only after budgets have already been spent. Autonomous execution allows routine actions such as pausing zero-converter campaigns and rebalancing budgets to run within predefined guardrails. Proactive alerts and the audit trail keep teams informed about actions taken while they are away from their accounts.

3. Creating Content Based On Marketing Performance

Content teams may struggle to determine which topics, keywords, and advertising messages are worth developing when performance information is spread across different marketing platforms. The AI Content Engine uses information from SEO, analytics, advertising, and customer-data tools to identify SEO gaps, top-performing ad angles, and customer behavior. Teams can use these insights to generate content based on patterns already observed across their marketing activity.

4. Optimizing Multiple Client Accounts

Marketing agencies managing numerous client accounts may spend significant time performing repetitive campaign analysis and optimization across different platforms. White-label AI, cross-client intelligence, and pattern transfer help agencies apply insights across client accounts while maintaining separate client contexts. This allows teams to identify recurring patterns and reduce the manual analysis required to manage large account portfolios.

Is So What Labs Right For You?

Managing separate ad networks often makes it hard to prevent wasted spend in time and obscures true channel return on investment. So What Labs addresses that gap by connecting AI content generation and cross-channel analytics in one hub. This enables growth-oriented teams like Goosebumps Store to avert non-converting ad spend and confidently scale high-performing acquisition channels.

Additionally, its GDPR- and CCPA-compliant infrastructure ensures data integrity so e-commerce businesses can focus solely on growth optimization.

Still not sure about So What Labs? For further guidance, call our support team at (661) 384-7070.