Digital Marketing / Influencer Marketing · Mike Mayer
Overdrive Viral — influencer engagement platform
Designed and shipped a full influencer engagement platform that automates matchmaking, engagement delivery, and analytics — so brands get authentic, human-driven social growth with transparent quality controls.
- Timeline
- Sep 2023 – Apr 2024 · live
- Status
- Live
- Category
- software
- Industry
- Digital Marketing / Influencer Marketing
−60%
Campaign setup
Time reduced through automation
99%
Spam-free engagement
Via AI moderation
Live
Status
Onboarding brands and influencers
Context
Overdrive Viral needed to close a gap in influencer marketing: brands struggled to find real influencers, manual campaign management was error-prone, and measuring results lacked transparency.
They needed a scalable, automated, and secure platform that could deliver guaranteed high-quality engagement without fake followers or spam.
Channels & stack
- Custom Software Development
- AI Agents & Automation
- React.js
- Tailwind CSS
- Node.js
- Python
- MySQL
- Redis
- Groq
- Hugging Face
- AWS
- Firebase
- LinkedIn / Facebook / Instagram APIs
- PayPal
Challenge
Finding and engaging real influencers amid fake followers and low-quality engagement
Manual influencer selection and campaign management were inefficient
Limited transparency and accountability in campaign measurement
Comment quality and spam prevention at scale
Goals
- 01
Automate influencer–brand matchmaking and campaign scheduling
- 02
Deliver AI-powered authenticity and comment quality controls
- 03
Ship brand, influencer, and admin portals with real-time analytics
Delivery sequence
How the engagement ran.
Phase 01
Discovery
Requirements & design
Workshops to define goals, personas, and portal experiences.
Work
- Stakeholder workshops for brands, influencers, and admins
- User-centric UI for engagement transparency
Deliverables
- Requirements pack
- UX flows for three portals
Phase 02
Scrum sprints
Agile build & AI
Iterative delivery with custom AI for vetting and comment quality.
Work
- AI modules for influencer vetting and moderation
- Automated matchmaking, scheduling, and analytics
Deliverables
- Working portals
- AI moderation pipeline
Phase 03
Hardening
QA & launch
Security audits, UAT, and production cutover.
Work
- QA and security reviews
- User acceptance testing
Deliverables
- Production release
- Ops runbooks
Architecture
- 01
Brand portal for campaigns, targeting, and performance tracking
- 02
Influencer portal for onboarding, participation, and earnings
- 03
Admin dashboard for oversight and analytics
- 04
AI-powered engagement moderation
- 05
Automated matchmaking and time-slot scheduling
- 06
Exportable campaign reporting
Outcome
Campaign setup time reduced by 60%
99% spam-free engagement via AI moderation
Platform scales to thousands of simultaneous campaigns
Clients report higher engagement quality and ROI
Lessons
- 01
Authenticity at scale required continuous vetting bots/scrapers plus official social API approvals
- 02
AI comment auditing was essential to protect engagement quality
- 03
Early and ongoing client collaboration minimized rework