AI for influencer marketing campaign optimization
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How AI is changing influencer marketing campaign optimization
Influencer marketing is powerful, but it’s messy—tracking posts across platforms, reconciling affiliate links, and proving ROI often eats up more time than it should. Teams waste hours analyzing performance manually, struggling to tie creator content back to conversions and revenue. The result: limited visibility, slow decisions, and missed growth opportunities.
That’s why leading teams are adopting AI for influencer marketing campaign optimization. Startups use it to automate creator performance tracking. Agencies rely on it to manage dozens of campaigns and contracts at scale. Enterprises deploy it to unify influencer data with attribution models, surfacing which partnerships are really driving growth.
Why teams are making the switch:
ROI clarity
Always-on analysis shows which creators, channels, and content formats actually generate revenue.
Partnership prioritization
Identify top-performing influencers and allocate budget toward relationships that scale profitably.
Cross-platform efficiency
Orchestrate campaigns across Instagram, TikTok, YouTube, and emerging platforms without ballooning headcount.
AI campaign optimization doesn’t just reduce reporting overhead—it transforms influencer marketing into a measurable, scalable growth engine. Teams move from chasing likes to confidently investing in partnerships that compound revenue.
The first AI that multiplies marketing impact
The future of growth marketing is here. Save hour per week with personalized AI Coworkers to 10x your impact, built in seconds.

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Bring your full-funnel metrics into one place
Marketing metrics
- Visits
- Unique visitors
- New visitors
- Sign up conversion rate
- Sign ups
- Account creation conversion rate
- Accounts created
Sales metrics
- Leads
- Lead to opportunity conversion rate
- Opportunities
- MQL conversion rate
- Marketing qualified leads (MQLs)
- SQL conversion rate
- Sales qualified leads (SQLs)
- Closed won conversion rate
- Closed won
- Closed lost
Revenue metrics
- New customer conversion rate
- New customers
- Total revenue
- New customer revenue
- Expanded customers
- Expansion customer revenue
- Reactivated customers
- Reactivated customer revenue
- Contracted customers
- Contraction revenue
- Churned customers
- Customer churn rate
- Churned revenue
- Revenue churn rate
- Average revenue per user
- Average revenue per customer
Marketing spend metrics
- Marketing spend
- CAC
- Payback period