Marketing work becomes more useful when market evidence, brand context, production, and performance stay connected. Strawberry can research across the browser, prepare finished artifacts, and keep the accepted process without flattening the team’s judgment or voice.

Begin with one result whose quality the team can review. Learn through a few questions, relevant connected apps, or both, then preserve the accepted audience, sources, voice, format, and review behavior.

Start with the audience, voice, and result

Clarify the business, audience, channel, and result before producing content. Existing website copy, approved campaigns, brand documents, social posts, and competitor examples can help when available, but they are not prerequisites.

Strawberry can learn the team’s writing style from concrete approved examples or start with a small draft and use feedback to calibrate. Before substantial work, confirm a concise plan and how success will be judged.

Learn the market before making the artifact

Analyse competitor websites and approved social profiles for positioning, offers, formats, engagement, and the content receiving traction. Social listening across relevant feeds, comments, topics, and communities should produce actionable themes with real source links.

Separate observed performance from hypotheses about why something worked, then adapt useful patterns in the user’s brand voice rather than copying competitor content.

Listen for the questions and language customers use

Useful social listening looks beyond follower counts. Search relevant feeds, comments, reviews, communities, and support patterns for repeated questions, complaints, excitement, and language the market actually uses.

Return themes with source links and explain which observations are evidence versus interpretation. The goal is a set of useful decisions or experiments, not a pile of mentions.

Find creators from their actual work

Shortlist creators by niche alignment, engagement quality, audience overlap, and their actual recent content. Suggested outreach angles should reference verified work rather than generic praise, and messages remain drafts until approved.

Connect performance to the next action

Compile approved metrics from several platforms while labeling platform-specific measures clearly. Deliver the accepted report to the team’s Sheet, Notion page, document, or communication destination with source links, limitations, and prioritized experiments.

Reuse the accepted pattern

Once the team accepts the research depth, voice, audience, report structure, visual direction, and approval behavior, preserve those choices as a reusable skill rather than recreating the brief for every campaign.

Introduce recurring monitoring only after one reviewed run has proved the underlying sources, meaningful-change rules, destination, and notification behavior.

Official Strawberry skill

Getting Started with Marketing in Strawberry

Strawberry can connect audience research, competitor signals, content creation, distribution, and measurement without flattening the team's brand. This is not a fixed methodology. Enter wherever the user or team has a real bottleneck, ask one short question at a time until a useful starting point is clear, and skip what already works. Over time, help them connect only the workflows that genuinely suit their audience, brand, and channels.

Begin with one useful result

Ask what the team needs now, then offer to learn through a few questions, approved context, or a combination of both. Relevant context may include the product, audience, website, prior campaigns, channel performance, existing report or campaign formats, and approved examples.

Choose one small, reviewable result: audience themes, a competitor snapshot, a content sample, a creator shortlist, or one reporting period. Confirm the audience, goal, channel, expected artifact, scope or time period, success signal, and intended approach before collecting or creating at scale. Show that first result and let the user correct assumptions, format, depth, tone, or tool choices before expanding the work.

Learn the visual direction, structure, banned phrases, and approval preferences relevant to that result. When the voice is not already understood, read strawberry/general/learn-writing-style to learn and preserve it from approved guidelines, messaging documents, prior campaigns, authored examples, or website and account copy.

Understand the audience

Strawberry can gather reviews, comments, community posts, and brand mentions into evidence-backed themes. Use strawberry/research-analysis/extract-web-data to collect approved public evidence into a consistent schema. Look for what people complain about, value, and repeatedly ask, keep repeated evidence separate from an interesting anecdote, and preserve source links so the user can verify each theme.

Learn from competitors

Strawberry can compare relevant accounts, websites, campaigns, and public activity after it understands the user's own offer. Read strawberry/marketing/run-competitor-analysis for the detailed workflow. When relevant, include company and founder-led accounts and compare positioning, offers, topics, formats, engagement, and landing pages. Keep observed behavior separate from hypotheses about why it works, and turn the evidence into implications for the user's business rather than an undigested list of examples.

Create and repurpose content

Treat content work as a brief: audience, goal, channel, desired action, constraints, and success signal. Read strawberry/research-analysis/create-beautiful-slide-deck when the result should be a visual artifact, or strawberry/research-analysis/research-companies-create-decks when research and presentation belong in the same workflow. Ground ideas in audience or competitor evidence, and draft a small reviewable sample before scaling. Adaptation should preserve the idea and voice rather than merely shorten the original.

Find the right creators and distribution

Strawberry can shortlist creators using niche alignment, engagement quality, audience overlap, and actual recent content rather than follower count alone. Use strawberry/research-analysis/extract-web-data to create the reviewable research dataset, then strawberry/sales/send-personalized-outreach when verified work and approved context should become personalized draft outreach rather than generic praise. Nothing should be sent without approval.

Measure what is working

Strawberry can compare consistent time periods and explain what changed, what remains uncertain, and which experiment is worth running next. Read strawberry/marketing/audit-seo-create-report for a substantive SEO workflow. For paid growth, agree on the platforms, metrics, and comparison period, then make the first result one clean cross-platform read. Keep each platform's reported numbers separate from interpretation, flag attribution gaps and low-confidence conclusions, and require approval before changing a live ad account. For other channels, first agree on a stable measurement method and review one result before making it repeatable.

Other things to try

These are useful discovery ideas, not complete standalone workflows:

  • Monitor brand mentions and group recurring themes.
  • Repurpose one strong idea for another channel without losing the voice.
  • Shortlist creators whose audiences genuinely match the product.
  • Build a content calendar from evidence about what already performs.

Make the process yours

Review one useful result before scaling. Save accepted voice, formatting, sources, distribution, measurement, and review choices as a user-owned skill. When teammates need the same inputs, destinations, ownership, privacy boundaries, and review behavior, read strawberry/operations/set-up-shared-team-workflow and pilot the accepted process with them. Add monitoring or a Routine only after the team trusts the underlying method and has agreed what should trigger a notification or external action.