营销与社交媒体技能

Create UTM links, which identify traffic sources, and GA4 event specifications for marketing campaigns. Standardize names across advertising and email channels, with platform-specific parameter templates, implementation notes, and recommendations for checking tracking before launch.

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• Create tracking links for campaigns across multiple channels
• Standardize campaign naming rules across a team
• Define GA4 events for purchases and form submissions

Compare Meta ad sets to identify shared audiences and estimate how internal competition affects advertising costs. Receive an overlap map, targeting issues, and recommendations for combining ad sets or excluding audiences to reduce overlap.

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• Check audience overlap when adding ad sets
• Investigate rising costs per thousand impressions
• Clean up targeting during account restructuring

Analyze a site and target keywords to identify technical SEO issues, page improvements, missing content, and backlink opportunities. Receive a prioritized action plan and a writing brief with an outline, questions, and suggested internal links.

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• Auditing technical SEO issues across a site
• Finding content topics covered by competitors
• Preparing article briefs for target keywords

Analyze cited URLs from AI answers to find where your business could earn mentions. Get ranked sources, citation frequency by source type, feasibility assessments, and draft outreach messages or content briefs.

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• Finding sources frequently cited in AI answers
• Prioritizing content and PR activities
• Comparing review platforms with owned content

Turn Google and Meta campaign metrics into a plain English executive summary for client reports. Highlights results with specific numbers, explains likely causes, puts problems in context, and suggests next steps connected to the performance data.

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• Writing weekly and monthly client report summaries
• Explaining advertising results to internal stakeholders
• Preparing account narratives for quarterly reviews

Forecast advertising return for Google and Meta over the next 30, 60, and 90 days. Uses performance trends, seasonal patterns, and planned changes to provide scenario ranges, underlying assumptions, risks, and revenue estimates tied to planned spending.

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• Monthly advertising plans and client expectations
• Evaluating a planned budget increase
• Preparing revenue forecasts for quarterly reviews

Analyze A/B test results to assess whether observed differences are likely due to chance. Check test duration and sample size, compare audience segments, distinguish statistical findings from practical value, and generate hypotheses for follow-up tests.

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• Evaluating results from a headline A/B test
• Estimating sample sizes before starting a test
• Comparing results by device or traffic source

Design reusable SEO page templates from a niche and data source. Get title patterns, page sections, internal linking rules, structured data for search engines, and requirements that keep each page useful and distinct.

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• Planning location pages for a service
• Designing product comparison page templates
• Building industry-specific software recommendation pages

Review LinkedIn campaign exports or pasted metrics to identify weak click rates, audience targeting issues, form friction, and inefficient spending. Receive a structured audit with B2B benchmark comparisons and prioritized recommendations.

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• Investigating low LinkedIn ad click rates
• Reviewing audience targeting and lead quality
• Simplifying lead generation forms

Turn a long article into LinkedIn posts, Twitter/X threads, newsletter snippets, ad openings, and short video scripts. The skill adapts structure and length for each channel while keeping the original message and brand voice consistent.

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• Turning one blog article into posts for several channels
• Preparing newsletter teasers for an existing article
• Creating ad openings from published content

Analyze successful Google and Meta ads to find useful patterns in headlines, body text, and calls to action. Generate new copy variants that preserve those patterns, with platform formatting, test priorities, and suggested pairings for comparison.

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• Refreshing ad copy when existing creatives lose effectiveness
• Starting an ad copy brainstorming session
• Testing messaging angles for a new audience

Audit Reddit Ads data to assess community targeting, creative fit, and bidding efficiency. Get prioritized fixes, suggested communities to add or exclude, and feedback on whether ad copy suits the communities it reaches.

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• Review Reddit advertising spend and campaign performance
• Find relevant subreddit communities to target
• Revise ad copy that feels too promotional

Track how AI assistants describe a brand by comparing repeated answers to a fixed set of questions. The skill flags factual errors and changes in tone, identifies likely sources, and drafts correction requests and updates to owned content.

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• Monitoring AI answers after pricing or feature changes
• Checking brand descriptions during a rebrand
• Tracking answer changes after negative press

Find search terms, placements, audiences, and ads that spend money but generate few or no conversions in Google and Meta accounts. The skill prepares uploadable exclusion lists and groups spending by category to help prioritize account cleanup.

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• Cleaning up wasted advertising spend each month
• Auditing an advertising account for a new client
• Reviewing search terms and placements after campaign expansion

Plan search pages at scale using data a business already owns. Compare seven approaches, select suitable ones, and define page templates, URL patterns, publishing stages, and checks for whether AI search services cite the pages.

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• Planning search pages from an existing company or product database
• Designing pages for app integrations and supported environments
• Expanding search pages across languages and regions

Compare current and previous Google and Meta campaign data to investigate rising cost per acquisition, the cost of each conversion. Receive contributing factors ranked by impact, affected campaigns or audiences, and prioritized fixes.

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• Investigating a sudden rise in acquisition costs
• Explaining performance declines to clients
• Checking for campaign issues after the weekend

Find overlapping keywords and search queries across Google Ads campaigns and ad groups. Estimate how internal competition affects cost per click, identify which keywords receive traffic, and get recommendations for pauses, match type changes, and negative keywords.

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• Cleaning up keywords in an inherited ad account
• Checking overlap after adding campaigns
• Investigating unexplained increases in cost per click

Analyze spending, revenue, and conversions across advertising channels to recommend budget shifts. Compare overall efficiency with the revenue gained from additional spending, identify saturation, and produce a gradual reallocation plan with monitoring priorities.

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• Reviewing budget allocation across advertising channels
• Finding channels with declining returns on extra spending
• Balancing proven campaigns with new experiments

Review Google Ads extensions, the extra links and details shown with ads, across campaigns. Find missing coverage, weak performance, and outdated information, then get replacement copy based on successful ads and landing pages, plus rollout priorities.

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• Checking extension coverage before launching campaigns
• Quarterly reviews of outdated promotional details
• Updating extensions after website changes or product launches

Plan and analyze A/B tests for Google and Meta advertising. Estimate required traffic and duration, track results, and assess whether observed differences are statistically significant, meaning unlikely to be explained by chance alone.

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• Planning a test for a new ad headline
• Estimating traffic and time needed for a landing page test
• Checking whether interim results justify choosing a winner

Review landing pages alongside Google and Meta ads to identify mismatched promises, unclear calls to action, and burdensome forms. Get specific recommendations for headlines, offers, and the content visitors see before scrolling.

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• Investigating falling conversion rates with stable ad metrics
• Reviewing landing pages before a campaign launch
• Developing hypotheses for landing page A/B tests

Plan how to divide your advertising budget across Google and Meta channels using recent results. Compare proposed allocations, expected conversions and revenue, and the return from additional spending in each channel.

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• Monthly or quarterly advertising budget reviews
• Redistributing spend after a total budget change
• Allocating budget to a newly added channel

Review daily Meta ad performance to spot signs that audiences are tiring of your creatives. Classify ads by urgency using click rates, frequency, costs, and engagement trends, then plan which creatives to replace and when.

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• Checking the weekly health of active Meta ads
• Prioritizing creative replacements before review meetings
• Investigating creative fatigue as acquisition costs rise

Create a complete email sequence from the target audience, offer, buying concerns, and brand voice. Get subject line options, preview text, full messages, calls to action, and a timing plan that keeps the tone consistent.

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• Writing a welcome email sequence after signup
• Creating follow-up emails that address buying concerns
• Planning a promotional email sequence for an offer