sharedlearnings.com

What It Is

Shared Learnings is a decision-support tool for performance marketers and paid media practitioners, not a traditional SEO suite. It mainly helps media buyers decide whether to “turn on or off” complex settings in platforms such as Google Ads, Meta Ads, and TikTok Ads, while bringing A/B test planning, result logging, and industry evidence into a single workflow.

Core Features and Data

Its core modules include Settings Checker, A/B Test Tracker, Test Engineer, and Platform News. Settings Checker generates Enable, Disable, or Test recommendations around key ad platform settings, and shows the enable/disable ratio, source authority, recency, and confidence level. A/B Test Tracker is used to record hypotheses, variables, metrics, and outcomes, building a searchable testing library for teams. Test Engineer uses multi-round AI questioning to turn rough testing ideas into structured experiment plans.

Its data comes from practitioner discussions on Reddit, industry forums, industry blogs, platform help centers, and first-party test data submitted by the Shared Learnings community. The copy states that verdicts are based on thousands of practitioner discussions, with sources weighted by authority and recency. Users’ specific business information and test results are not made public; they only contribute to the algorithm as anonymized aggregate signals.

Pricing and Trial

Pricing is fairly straightforward: Basic is $29/month with 15 searches; Pro is $79/month with 50 searches; Agency is $199/month with 250 searches and support for up to 20 client profiles. All plans offer annual billing discounts. Registration includes a 7-day free trial, but users must add a card upfront, and the trial automatically converts to a paid subscription when it ends.

Pros and Cons

The main advantage is its highly focused positioning: it is useful for paid media professionals who want quick references to industry-tested tendencies, while also helping teams preserve test plans and historical results. It also covers six major ad platforms and provides client context management for agencies. The drawbacks are that search usage is limited, which may not be enough for heavy users; AI-aggregated conclusions depend on the quality of public discussions and cannot replace account-specific experimentation; and there is no visible information about a Chinese interface, customer support channels, API access, or direct ad account integrations.

Who It’s For and Access from China

It is best suited to individual media buyers, in-house growth teams, and small to mid-sized agencies, helping reduce repetitive research and improve testing rigor. The main content does not state how well it can be accessed from China, and the payment method only mentions that a card is required, without clarifying support for common domestic Chinese payment options. If access or payment is restricted, platform help centers, industry communities, internal team knowledge bases, and project management tools can serve as temporary alternatives.