SEO, ads, social media, landing pages, and copywriting (3.3K skills)
Plan how to grow an email subscriber list through acquisition channels, signup incentives, and referrals. Define consent collection and double opt-in, where subscribers confirm by email, alongside clearly labeled growth and acquisition cost targets.
Generate email subject lines with matching preview text, then rank candidates before testing. Check character counts, likely desktop and mobile truncation, spam-like wording, and emoji use, with inbox previews and reasons for keeping or cutting each option.
Plan a multi-step email sequence for new business prospects, including timing, stop rules, and actions for different replies. Get a gradual sending schedule for new mailboxes and guidance on jurisdiction-specific consent and email requirements.
Turn your own email, customer, analytics, and purchase exports into reusable audience groups based on behavior, attributes, and customer stages. Report group sizes and identify contacts to exclude using consent and suppression records.
Turn already calculated influencer campaign or paid advertising metrics into reports for executives, clients, or internal teams. Organize results into tables and a clear narrative, with lessons, recommendations, and explicit markers for missing evidence.
Analyze exported email placement tests and sender reputation reports after a campaign. Get inbox, spam, and promotions results by provider, reputation trends, and a comparison showing which providers worsened since the previous send.
Review email list health over time using engagement, bounce, complaint, and suppression records. Group subscribers by recent activity and produce segmented worklists for renewed permission, removal from active sends, or removal and suppression.
Draft a single promotional email, cold outreach message, or newsletter with subject options, preview text, body copy, one main call to action, and a plain-text version. Keep promises consistent with the destination page and approved claims.
Reconcile paid advertising conversions with GA4 or ecommerce order records. Identify duplicate and unmatched claims, align attribution windows and currencies, compare how models assign credit, and assess additional orders when test and control data are available.
Review influencer posts or videos against campaign requirements before publication. Assess brand fit, trust, appeal, sponsorship disclosure, claim evidence, and audience authenticity, then provide a weighted quality score when evidence is complete and location-specific revision feedback.
Keep a versioned record of a brand’s official messages, tagline, voice, and naming rules. Retrieve the current approved version, review complete replacement proposals, and preserve earlier versions with references to supporting claims and evidence.
Compare an active advertising campaign's spending with its planned budget curve. Identify whether delivery is on track, ahead, behind, or stalled, check the platform's learning status, and flag when budget reallocation should be considered.
Design email experiments for subject lines, calls to action, send times, or sending versus not sending. Plan sample sizes and duration, then assess results for effect size, uncertainty, and practical value using your own exported data.
Prepare advertising exclusion lists from placement reports, covering sites, apps, networks, and sensitive topics. Document the reasons for each decision and package evidence for a separate review of whether ad placements meet brand requirements.
Specify personalization for an existing email using available data fields and audience segments. The output maps merge tags to columns, supplies fallback text for missing values, defines conditional content, and checks which personal information may appear.
Audit how AI systems and knowledge graphs identify an organization or other entity. Reconcile names, aliases, official links, and structured identity records, then document evidence, unresolved conflicts, and authorized updates in an entity registry.
Evaluate a paid campaign change against a control over a fixed period. Compare return on ad spend or cost per acquisition, align attribution settings and currencies, and report whether to adopt the change, keep testing, roll back, or mark it unproven.
Design an email preference page where subscribers choose topics, reduce delivery frequency, or pause messages. Produce page fields, ordered alternatives to unsubscribing, and explicit rules connecting each choice to sending limits or message suppression.
Audit landing pages receiving influencer or paid-ad traffic for consistent messaging, clear offers, and purchase friction. Get prioritized recommendations for page structure, promo codes, mobile calls to action, and A/B tests with hypotheses and success metrics.
Choose an advertising bid strategy using campaign goals, past costs, revenue returns, and conversion volume. Get a justified starting target, campaign groups that share bidding goals, and a learning-phase plan with change restrictions and exit estimates.
Maintain a creator roster with sourced records of past rates, usage rights, exclusivity, and campaign results. Query current facts, review proposed updates, and preserve a traceable history of accepted and rejected changes.
Maintain an authoritative launch record covering dates, embargoes, release stages, submissions, asset versions, and outcomes. Preserve the source and history of each accepted update, and generate launch dossiers and calendar views from those records.
Maintain a traceable registry of brand-owned social accounts, operating states, posting commitments, platform-specific voice references, and permissions for user-generated content. Record revisions and evidence so current facts and permission limits can be checked.
Maintain subscriber consent records using pseudonymous IDs, identifiers that avoid storing raw contact details. Record opt-in evidence, apply suppression for unsubscribes or complaints, and check current suppression status by replaying the recorded event history.