Jogiitech
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Live EventsEvent Commerce · AI · Influencer GrowthMulti-tenant SaaS · 14 months

PulseStage Live.

Not another ticket booking tool — a complete Event Commerce, Marketing and Audience Intelligence ecosystem, with AI forecasting and an influencer attribution engine at its core.

Ticketing EngineSeat SelectionInfluencer AttributionEvent CRMMarketing AutomationAI Intelligence
PulseStage Live festival crowd

Project overview

One platform.
Every ticket, every fan.

Organisers, promoters, venues, clubs, festivals, conferences and entertainment brands run the entire event lifecycle — from creation to audience growth and post-event analytics — on a single intelligent layer.

Industry
Live Events · Entertainment · Ticketing
Business type
Multi-tenant SaaS (B2B & B2C)
Project duration
14 months · 5 phased releases
Team size
18 — product, engineering, AI, design, QA, DevOps
Technology ecosystem
React · TanStack Start · Node · PostgreSQL · Redis · AWS
AI capabilities
Demand forecasting · Influencer scoring · Segmentation · Recommendations
Key integrations
Stripe · Apple/Google Wallet · Twilio · SendGrid · Meta · TikTok · Mapbox

01 / Business challenge

Eight tools, no single source of truth — growth was leaking through the gaps.

Disconnected tooling

Ticketing, audience CRM, influencer payouts, marketing automation and analytics lived in eight separate systems — every report was a reconciliation project.

No attribution visibility

Organisers could not see which influencer, campaign or channel actually drove a paid ticket — marketing spend was directional, not measurable.

Weak audience intelligence

Buyer profiles, attendance history and engagement signals were fragmented across platforms — personalisation was impossible at scale.

Manual influencer ops

Referral codes, commission tiers and payouts were tracked in spreadsheets. Disputes and delays were eroding partner trust.

Inventory drift across channels

Tickets sold across website, mobile, affiliate and social channels desynced regularly — overselling and refunds hurt the brand and the bottom line.

No forward visibility

Sales forecasts were a gut call. Capacity, pricing and campaign decisions were made too late to move the outcome.

02 / Discovery & strategic planning

Three audiences, one platform — designed before a line of product code.

Operator workshops

Working sessions with organisers, promoters and venue operators to map the lifecycle from concept to post-event analytics — and identify the moments worth automating.

Attendee research

Interviewed and observed ticket buyers across discovery, purchase and event-day flows. Built a journey map that drove the consumer experience and recommendation logic.

Influencer & partner interviews

Listened to creators and affiliates about what they actually need — fast payouts, transparent attribution and a leaderboard that respects their work.

Commercial modelling

Modelled platform economics across ticket fees, marketing lift and influencer commissions to ensure unit economics held at scale.

Architecture assessment

Designed a multi-tenant, event-driven platform that could absorb spikey festival traffic without over-provisioning the steady state.

Roadmap & phasing

Phased the build so the platform shipped value early — ticketing and CRM first, AI and influencer attribution layered in once data was flowing.

03 / Built for three audiences

Organisers, influencers and attendees — each with a purpose-built experience.

01

Event organisers

Create and manage events, control inventory and pricing, run campaigns and read real-time revenue performance — all from a single console.

  • Event creation & lifecycle
  • Multi-tier ticket inventory
  • Dynamic pricing controls
  • Capacity management
  • Campaign orchestration
  • Real-time revenue dashboards

02

Influencers & partners

A self-serve workspace with unique links, real-time conversion analytics, transparent commissions and automated payouts.

  • Unique tracking links
  • Referral code generation
  • Performance dashboards
  • Commission tracking
  • Revenue attribution
  • Automated payouts

03

Event attendees

Discover events worth attending, pick the right seat, pay in one tap and carry the ticket on the device they already use.

  • Personalised discovery
  • Interactive seat selection
  • One-tap checkout
  • Apple/Google Wallet tickets
  • Event updates & reminders
  • Post-event memories

04 / Core platform capabilities

An event commerce stack — ticketing, seats, CRM, marketing, distribution.

01

Advanced ticketing engine

General admission, VIP, early bird, group, dynamic and multi-tier ticketing — with capacity rules, holds, comps and access-code logic baked in.

02

Interactive seat selection

A visual venue-mapping engine — real-time availability, zone reservations, premium-seat pricing and accessible-seat handling — works for clubs, theatres and 60k-seat arenas.

03

Influencer marketing ecosystem

Onboarding, unique tracking links, code generation, conversion attribution, tiered commission logic, leaderboards and automated payouts — the operating system for partner-led growth.

04

Multi-channel distribution

Sell across direct sites, mobile, affiliate networks, partner platforms and social campaigns — with centralised inventory that stays in sync to the second.

05

Event CRM

Unified attendee profiles, segmentation, purchase and attendance history, engagement scoring and retention tracking — your audience as an asset, not a list.

06

Marketing automation

Email, SMS and push campaigns, promo codes, retargeting audiences, event reminders and journey automation — triggered by behaviour, not by hand.

05 / AI intelligence layer

AI that moves the metrics organisers actually care about.

Forecasting, scoring, segmentation and recommendations — each capability scoped to a measurable outcome, evaluated against a golden dataset, and shipped behind feature flags with human-in-the-loop guardrails.

Sales forecasting

Predict ticket demand by event, tier, region and channel using historical sales, category, seasonality and marketing performance. Organisers see week-by-week trajectory, not just a final number.

Influencer performance intelligence

Ranks creators by expected ROI, conversion quality and audience fit. The model surfaces who to invest in next — and who quietly carries every campaign.

Audience segmentation

Behavioural clustering on interests, purchase patterns, attendance frequency and spend — segments materialise automatically and stay current as data flows.

Personalised recommendations

Each attendee sees a different homepage. Recommendations blend behaviour, event history, location and lookalike audiences — measurable lift on click-through and conversion.

Revenue intelligence dashboard

Predictive views of ticket sales, revenue, marketing efficiency and audience growth opportunities — translated into one weekly executive narrative.

Dynamic pricing optimisation

AI adjusts tier pricing in real time based on demand velocity, inventory depth and comparable events — maximising revenue per show without alienating early buyers.

Attendee churn & retention scoring

Identifies lapsed buyers and at-risk segments before they disappear. Retention campaigns trigger automatically with offers calibrated to win back the right fans.

Fraud & bot detection

Real-time anomaly detection flags scalper bots, card-testing rings and suspicious checkout patterns before tickets clear — protecting inventory and genuine fans on every on-sale.

06 / Implementation journey

Nine phases. Five shippable releases. On-sale spikes that didn't blink.

01

Discovery

Operator, attendee and influencer research; commercial modelling; success metrics.

02

Platform architecture

Multi-tenant data model, event-driven backbone, scale and resilience strategy.

03

Experience design

Organiser console, attendee storefront, influencer workspace and mobile experience.

04

Ticketing & checkout

Inventory engine, seat-map renderer, payments, wallet tickets and access control.

05

CRM & marketing

Unified attendee profiles, segmentation, email/SMS/push automation and promo logic.

06

Influencer engine

Tracking links, attribution, commission tiers, leaderboards and automated payouts.

07

AI enablement

Forecasting, segmentation, recommendations and influencer scoring — shipped behind feature flags with evals.

08

Scale hardening

Load tests against festival on-sale spikes, queueing, anti-bot, observability and runbook drills.

09

Optimisation

Quarterly review cadence, model retraining, conversion experiments and roadmap re-planning.

07 / Business outcomes

The numbers organisers, marketing and finance all agreed on.

0%

Lift in ticket conversion rate

0×

Influencer-attributed revenue growth

0%

Reduction in marketing CAC

0%

Repeat-attendance rate lift

0%

Manual ops hours removed

0k req/s

On-sale peak throughput

Combined effect: higher conversion, lower acquisition cost, a four-fold lift in influencer-attributed revenue — and a platform that holds up when on-sale traffic arrives all at once.

08 / Technology ecosystem

Chosen for scale, security and the on-sale spike.

Frontend

  • React 19
  • TanStack Start
  • TanStack Query
  • Tailwind
  • Framer Motion

Mobile

  • React Native
  • Apple Wallet
  • Google Wallet
  • Push notifications

Backend

  • Node.js
  • TypeScript
  • Event-driven workers
  • Queue-based on-sale

Data

  • PostgreSQL
  • Redis
  • Materialised views
  • Event store

AI

  • Forecasting models
  • Embeddings + pgvector
  • Recommendation pipeline
  • Eval harness

Payments

  • Stripe
  • 3DS / SCA
  • Multi-currency
  • Payouts API

Marketing

  • SendGrid
  • Twilio SMS
  • Web push
  • Meta & TikTok pixels

Cloud

  • AWS
  • Aurora Postgres
  • ElastiCache
  • CloudFront + WAF

Client feedback

"We stopped buying point tools and started running a business. We can see which influencer drove which ticket, which segment will rebook, and which event is about to outperform — before it happens. The platform pays for itself every weekend."

— Chief Marketing Officer

PulseStage Live

09 / Long-term impact

From ticketing system to event growth ecosystem.

What started as a ticketing replatform is now the operating layer for the entire event business. New venues onboard in days. New ticket types ship without engineering. AI capabilities roll out behind flags with measurable impact on conversion and CAC.

The roadmap ahead — autonomous campaign optimisation, predictive influencer matchmaking, AI-curated event recommendations and sponsor intelligence — extends from the platform we built, not around it. The platform doesn't just sell tickets; it grows the audience.

An event platform like this,
for your audience.