Topic archive
Practical analytics resources for measuring traffic, campaigns, content, conversions, and user behaviour so marketing decisions are based on useful data instead of assumptions.
Buffer explains ‘vibe coding’ for non-developers using tools like Claude Code and GitHub to build apps and dashboards. Try a small app project using an AI coding tool and the terminal.
Buffer explains which TikTok analytics matter for creators and small businesses, focusing on audience and growth metrics you should track. Review your TikTok Analytics dashboard and prioritize the right metrics.
Comparison examines Buffer and RecurPost across publishing, analytics, inbox management, and team workflows to find the best fit. Review the feature list and pricing to decide which tool to trial.
Semrush shares 16 MCP prompts designed for Claude or ChatGPT that were tested on a live site for keyword, competitor, content, and reporting tasks. Test the prompts on your next campaign.
Compare Google Ads’ Last Click and Data-Driven attribution models to understand how they assign conversions across the funnel. Review your campaign goals and test the model that aligns with them.
Lists 18 SEO KPIs including AI visibility and keyword rankings to measure organic and AI search performance. Review which KPIs match your goals and update reporting.
Shows how to translate SEO metrics like rankings, traffic, and clicks into business language leadership understands, focusing on market share and ROI. Review your reporting to align metrics with ROI.
Compares Peec AI alternatives and highlights Writesonic GEO, Profound, and AirOps for different use cases in 2026. Test one listed platform against your CRM and reporting needs.
WordStream used an AI analytics tool to track AI bot scrapes across their site and found which pages bots request most. Review your site logs to see where bots are scraping content.
Buffer lists 13 URL shorteners with features like branded links, QR codes, and click analytics to help manage character-limited channels. Review the tools and test one for your workflow.
Compare Buffer and Agorapulse for social media work: Buffer suits creators, small businesses, and agencies, while Agorapulse handles high volumes of inbound messages and reporting. Review both platforms for your workflow needs.
Marketers should track new AI search KPIs as traffic and rankings no longer tell the full story, with Semrush showing conversion differences. Review your analytics to add AI-specific metrics.
LinkedIn added collaborative posts, a creator marketplace, and a new analytics metric for out-of-network reach to help brands grow beyond followers. Review how collaborative posts and the metric apply to your content.
The piece contrasts HubSpot AEO Grader and Peec AI, noting one links AI visibility to CRM workflows while the other focuses on monitoring and reporting. Test each platform against your team’s reporting.
HubSpot compares eight Semrush AI visibility alternatives, including HubSpot AEO, to help teams evaluate tools for AI search visibility and reporting. Review the listed alternatives to shortlist options for testing.
Compare Profound and Semrush AEO to see how they differ on engine coverage, prompt research, dashboards, and pricing. Review the comparison to decide which tool fits your workflow.
Client reports often document activity but fail to justify renewals; the article focuses on weekly, monthly, and quarterly reporting for social media. Review your report structure to show business impact.
Buffer rebuilt its analytics into Insights, offering analytics designed for everyone from solo creators to agencies. Test Insights on your account to see which metrics spark better content ideas.
A 2026 comparison contrasts Buffer’s simple publishing and comment management with Metricool’s competitor tracking and detailed reporting for agencies. Review which platform matches your workflow and reporting needs.
The 2026 roundup reviews 16 social media marketing tools for scheduling, social listening, analytics, and team collaboration to cut manual work. Evaluate tools by use case and trial the ones that match.
Learn the essentials
Clear, practical answers to common questions about Analytics.
Marketing analytics turns activity and customer data into evidence for better decisions. It helps teams understand which channels attract useful traffic, what people do after arriving, where conversions happen, and whether marketing effort is producing outcomes that matter to the business.
The right metrics depend on the objective. Traffic and impressions can describe reach, but leads, qualified conversions, revenue, retention, acquisition cost, and lifetime value are often closer to business impact. A useful dashboard separates diagnostic metrics from the metrics that define success.
Different tools use different attribution rules, identity methods, time zones, cookie handling, bot filtering, and definitions of a session or conversion. Small discrepancies are normal; the goal is to understand each system's methodology and use a consistent source for important decisions.
Start with the decisions you need to make, then work backwards to the events and dimensions required to support them. Tracking everything creates noise and maintenance work. Prioritize a small set of trustworthy events tied to meaningful user actions and business outcomes.
Common problems include tracking without a measurement plan, treating correlation as causation, ignoring consent and privacy requirements, changing definitions without documentation, and optimizing for easy-to-measure vanity metrics while missing revenue or customer quality.