268 skills ・ Works with: Google Ads · sorted by popularity
Create banners for social media, ads, website heroes, and print formats. Compare multiple visual directions built in HTML/CSS using supplied assets, CSS graphics, or optional generated imagery, with PNG exports when browser capture is available.
Create logos, business card mockups, HTML presentations, banners, social images, and SVG icons. Define shared brand colors and typography, then carry those choices into visual assets and interface styling.
Create ad headlines, body text, and static or video concepts tailored to advertising platforms. Use performance data and customer feedback to develop variations, check format limits, and define measurable tests for the next round.
Assess how marketing channels contribute to conversions and revenue. Compare attribution models, which assign credit to customer interactions, reconcile conflicting reports, and design first-party tracking that connects browsing history to bookings or purchases.
Plan and review paid advertising across Google Ads, Meta, LinkedIn, and other platforms. Organize audiences, budgets, and bidding, then assess results using customer acquisition costs and sales data while separating evidence, hypotheses, and missing information.
Create paid ad headlines, descriptions, and primary text for platforms including Google Ads, Meta, LinkedIn, and TikTok. Organize variations by message angle, check character limits, and use performance data to guide the next round.
Analyze campaign data across advertising platforms, check whether results are comparable, and assess costs and returns. Get budget test proposals with stated evidence, uncertainty, spending limits, and rollback criteria.
Research competitors’ paid ads on Meta and Google, then examine their messaging, formats, and landing pages. Produce a strategy report showing paths from ads to signups, gaps in competitors’ approaches, and ideas for campaigns to test.
Analyze supplied ad performance data to identify wasted spend, strong campaigns, and next tests. Compare channels, assess whether test differences are meaningful, and produce budget reallocation recommendations with a prioritized action plan.
Plan and improve paid advertising on Google Ads, Meta, LinkedIn, and other platforms. Develop ad copy, audience targeting, and budget plans, then use acquisition costs and advertising returns to guide campaign improvements.
Plan customer acquisition through paid ads, SEO, and partnerships for growing B2B SaaS startups. Includes campaign templates, customer acquisition cost calculations, and HubSpot tracking guidance to connect marketing activity with sales opportunities.
Plan, implement, and audit website or app analytics with GA4 and Google Tag Manager. Define meaningful events, standardize campaign tags, and validate data collection so marketing and product decisions use consistent measurements.
Plan customer acquisition across paid ads, SEO, and partnerships. Structure channel budgets, calculate customer acquisition cost, define lead handoffs to sales, and set up campaign tracking to understand which activities contribute to new business.
Plan paid advertising across Google Ads, Meta, LinkedIn, and other platforms. Build campaign structures, ad copy, audience plans, and budgets, then use performance metrics and account checks to identify practical improvements.
Plan, set up, audit, and debug analytics tracking with GA4 and Google Tag Manager. Define events and their parameters, configure conversion tracking, and investigate missing or duplicate data using structured checks and prioritized fixes.
Helps developers send conversion and event data to Google Ads, Google Analytics, and Floodlight through the Data Manager API. It covers destination setup, data formatting, validation, migration from other APIs, and checking processing results.
Automate Google Analytics administration through its Admin API. Manage accounts, properties, data streams, custom dimensions for additional analysis fields, event settings, and product links, with guidance on authentication and official client libraries.
Set up credentials and a development environment for your first Google Ads API request to retrieve campaigns. Choose from six official client libraries or direct HTTP requests, with guidance for account IDs, developer tokens, and common authorization errors.
Set up the official Google Ads MCP Server, a connector that lets AI assistants retrieve campaign data and reporting metrics through natural language. The guide covers installation, credentials, client configuration, and connection checks.
Diagnose declines in Google Ads conversions, conversion value, and leads by comparing periods, traffic, device breakdowns, impression share, and account changes. Use live account data through the Google Ads MCP Server or receive queries and diagnostic guidance for manual execution.
Guides implementation of audience uploads, individual removals, and full replacements through the Data Manager API. It covers formatting and hashing identifiers, validating requests, and checking processing results for Customer Match and supported device ID audiences.
Review daily Google Ads and Meta Ads results for budget pacing, declining performance, and unusual activity. Get prioritized findings with supporting numbers and concrete recommendations for a marketing team to assess and carry out.
Use Google's APIs to review search performance, page speed, indexing status, and organic traffic. Combine real visitor measurements with search and analytics data to identify SEO issues and create reports.
Research competitors’ public ads, messages, creative formats, and landing pages using official ad libraries and permitted sources. Separate observations from estimates, then identify evidence-backed opportunities, risks, and experiments for paid advertising.