Dataslayer AI
Official@dataslayer-ai · Spain
Dataslayer is a marketing data integration platform trusted by 2,000+ companies worldwide. It connects 50+ marketing platforms — Google Ads, Meta Ads, LinkedIn
Agent Skills by Dataslayer AI
Showing 10 vetted skills indexed across 1 GitHub repositories.
Dataslayer-AIds-channel-report
Aggregate cross-channel marketing data into a structured weekly report.
Dataslayer-AIds-lint
Validate SKILL.md and agent markdown files against the Claude Code spec.
Dataslayer-AIds-seo-weekly
Analyze weekly Search Console and GA4 data to surface SEO quick wins and ranking changes.
Dataslayer-AIds-churn-signals
Identify churn-risk accounts from Stripe subscription data with tiered risk scoring.
Dataslayer-AIds-brain
Coordinate cross-channel marketing analysis into a single weekly priority.
Dataslayer-AIds-report-pdf
Generate branded client PDF reports from marketing data using ReportLab.
Dataslayer-AIds-audit
Audit skills and agents for inconsistencies in descriptions, format, and frontmatter.
Dataslayer-AIds-content-perf
Analyze blog content performance by linking GA4 traffic to conversions.
Dataslayer-AIds-eval
Evaluate user inputs against skill descriptions from YAML test files.
Dataslayer-AIds-paid-audit
Audit paid media campaigns across Google, Meta, LinkedIn, and TikTok Ads.
Frequently Asked Questions About Dataslayer AI
FAQPage SchemaWhat specific marketing tasks does Dataslayer enable?▼
Dataslayer enables the aggregation of cross-channel marketing data, generation of branded PDF client reports, and performance auditing of paid media campaigns. It further supports content strategy by linking GA4 traffic metrics to conversion events and identifying churn-risk accounts via Stripe subscription data analysis.
Which personas benefit most from these capabilities?▼
Digital marketing managers, growth analysts, and performance marketers benefit from these capabilities. The platform is designed for professionals managing multi-channel advertising budgets who require centralized reporting, campaign health audits, and data-driven insights to optimize conversion rates and reduce customer churn.
What are the prerequisites for running these marketing integrations?▼
Users require active credentials for the marketing platforms being integrated, such as Google Ads, Meta Ads, LinkedIn, TikTok, and GA4. Additionally, access to Stripe billing data is necessary for churn-risk analysis, and the environment must support ReportLab for the generation of branded PDF deliverables.