Case Study: Postgame
SOFTWARE: MEDIA AND MARKETING
Case Study
Postgame scales NIL-influencer operations with an AI “Agentic Workforce” powered by raia
Snapshot
Athlete support
3 staff members handling <3,000 monthly messages
AI Athlete Support Agent fields 12 k+ inquiries / month across SMS & email, 24 / 7
Campaign sentiment reporting
Manual review of 40 k+ Instagram comments per campaign (≈ 5 days)
AI Sentiment Analyst completes same work in <3 hrs (-95 % cycle-time)
Content‐compliance checks
Spot-checks only, risk of off-brand posts
AI Content Review Agent auto-screens every post before it goes live
Operational capacity
Team hit scale ceiling at ~10 simultaneous brand activations
Agentic Workforce now supports 5× more concurrent campaigns without hiring
“raia is by far the most powerful platform for building AI Agents. We would never be able to scale our launching of AI Agents with confidence without their sophisticated tools for training and testing, along with the capability of their agents to send SMS to our athletes.” Bill Jula, CEO, Postgame
1. Company & Challenge
Postgame operates the largest college-athlete influencer network—60,000 + student-athletes nationwide(Postgame App) and runs campaigns for global brands such as Adidas, Microsoft, Hollister and hundreds more(Postgame App).
Growth exposed three pain-points:
Athlete Questions at Scale – a single Adidas campaign can enlist 5,000 athletes, each needing timely answers on briefs, deadlines and payment.
Comment-Sentiment Analysis – tens of thousands of Instagram comments per campaign required manual reading to prove ROI to brands.
Content-Guideline Enforcement – every reel, story or tweet had to be vetted for brand safety, copyrights and NIL regulations.
The existing team could not keep pace without eroding margins or service quality.
2. Why Postgame chose raia
Zero-code Launch Pad wizard let non-technical staff spin up bespoke agents in minutes, not sprints.
Omnichannel skills out of the box—SMS, email, live chat and voice—critical for reaching on-the-go student-athletes.
CoPilot human-in-the-loop gave campaign managers confidence they could jump in or retrain the agent instantly when nuance was required.
Built-in sentiment & engagement scoring streamlined analytics workflows without extra tooling.
3. Solution Design
Athlete Support Agent
24 / 7 Q&A on briefs, deadlines, how-to-post, payment status; pushes reminders via SMS.
Skills: SMS, Email, Live Chat; Pack: Campaign FAQ
Sentiment Analyst Agent
Scrapes Instagram & TikTok comments, tags positive/negative/neutral, rolls up brand-safe report.
Skills: Scraper, Sentiment, Report; Pack: Sentiment Rules
Content Review Agent
Ingests draft captions & media, checks for brand guideline compliance, NIL language, copyright issues; approves or flags.
Skills: File-parser, Webhooks; Pack: Brand Guidelines
Deployment timeline: < 4 weeks for all three agents—upload brand manuals, connect influencer CRM, iterate in CoPilot.
4. Measurable Impact (first 90 days)
Athlete interactions handled by AI
≈ 12,000 / month (SMS 70 %, Email 25 %, Chat 5 %)
Average first-response time
< 45 seconds (was ≈ 3 hrs)
Sentiment analysis turnaround
3 hrs for 55 k comments (was 5 days)
Compliance review throughput
100 % of posts pre-screened; human review load cut by 80 %
Human workload
AI capacity equals 8–10 FTEs, freeing staff for sponsor relations
5. Lessons for Prospective Clients
Start with the highest-volume pain-point—support agent success created internal appetite for analytics & compliance bots.
Use pre-built Packs to replicate success across brands; once Postgame built an “Adidas Campaign Pack,” a Hollister version took hours.
Maintain HITL during ramp-up. CoPilot let brand managers shadow early chats, accelerating trust and tweaks.
6. What’s Next
Postgame plans to:
Launch a Revenue Uplift Agent to recommend best-fit athletes for each brief in real time.
Automate payments reconciliation by linking campaign metadata to banking APIs.
Orchestrate multi-agent workflows so Support, Sentiment and Compliance agents collaborate on a single campaign thread.
7. Key Takeaway
Postgame’s journey shows how raia transforms influencer-marketing ops from human-bound to AI-amplified—rapid deployment, omnichannel reach and measurable ROI in weeks, not quarters.
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