Naano — GTM agent skills by the Naano team

Influencers0

Thomas Marcelle

Co-founder

Build influencer marketing strategy

Use this skill when the user asks for an influencer strategy, creator marketing plan, LinkedIn influencer campaign, thought-leader outreach, creator budget allocation, or wants to know which influencers to work with and how much to pay them. Builds a B2B influencer marketing strategy from ICP to booked creators — audience mapping, creator tier selection, budget allocation, brief design — activated and scaled on naano.xyz. Powered by Naano.

Influencers0

Thomas Marcelle

Co-founder

Creator deal pricing — CPC vs flat fee

Use this skill when structuring what to pay a creator — "flat fee or performance deal," "how should we price this sponsorship," "the creator wants a fixed fee, should we agree." The decision rule: pay flat when buying a message, pay per click when buying pipeline — plus the qualified-click definition that makes performance deals fair, and the unit-economics math behind both.

Influencers0

Thomas Marcelle

Co-founder

Creator-led growth in 90 days

Use this skill when creator marketing should become a program, not an experiment — "make creators a real channel," "scale from a test to an engine," "what does quarter one of creator-led growth look like." Three 30-day phases: build the first cohort with tracking, launch–measure–cut, then systematize into a documented, forecastable engine with a second cohort matched to the winner profile.

Influencers0

Thomas Marcelle

Co-founder

Find and vet B2B creators on LinkedIn

Use this skill when sourcing creators for a B2B campaign — "find creators our buyers follow," "is this creator worth paying," "build a creator shortlist for [ICP]." Five discovery methods plus a vetting order that filters on audience-ICP fit, engagement quality, consistency, and authentic voice — before follower count is even considered.

Influencers0

Thomas Marcelle

Co-founder

Forecast pipeline from creator spend

Use this skill when creator budget needs a defensible forecast — "what will €10K of creator spend produce," "build the pipeline model for the creator channel," "what ARR can we commit to from this program." A five-input model (budget, cost per qualified click, click→opportunity rate, win rate, ACV) with a worked example and the sensitivity insight that decides where tuning effort goes.

Influencers0

Thomas Marcelle

Co-founder

Founder, employees, or creators

Use this skill when choosing who carries the brand's LinkedIn distribution — "should the founder keep posting or should we pay creators," "employee advocacy or creator program," "founder-led growth is plateauing, what now." The decision framework across the three motions, the saturation signals that say a motion is tapped, and the 30–45 day transition playbook from founder-led to creator-augmented.

Influencers0

Thomas Marcelle

Co-founder

Launch a LinkedIn creator campaign

Use this skill when taking a creator campaign from zero to live — "launch a creator campaign for [product]," "run our first sponsored posts," "test creator-led growth this month." A four-week framework: lock the ICP and one conversion event, source and vet 3–5 creators, brief and go live staggered, then measure per-creator pipeline and renew the winners.

Influencers0

Thomas Marcelle

Co-founder

Measure creator marketing ROI

Use this skill when creator spend needs defending or reading — "what's the ROI on our creator campaigns," "build the CFO view," "why does creator attribution look bad." Sets the attribution window creator content actually needs, the five-row CFO dashboard, payback-period math, week-one leading indicators, and the three attribution errors that silently understate ROI 2–3×.

Influencers0

Thomas Marcelle

Co-founder

Write a B2B sponsored post

Use this skill when writing or reviewing a sponsored LinkedIn post — "draft the sponsored post for [creator]," "why is this post's CTR terrible," "review this creator draft." The hook–story–resolution–CTA structure, the four credibility signals that make a story land, CTA patterns ranked by conversion, and the five anti-patterns that make audiences smell an ad.