Services

Campaign Systems & Activation Mechanics

When every campaign is rebuilt from scratch.

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Who it’s for: Teams running frequent campaigns across multiple channels.

Category: Activation & Growth

Offer and mission enginesWallets, rewards, referrals
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Context / why this problem exists

Teams run more campaigns than ever — but without systems. Each mechanic is re-designed, re-approved, and re-implemented, slowing execution and increasing risk.

When this is the right solution

  • ▸Campaign volume is high
  • ▸Mechanics repeat with small variations
  • ▸Governance and speed are both required
  • ▸Scale matters more than novelty

When this is not the right solution

  • ▸You only run occasional campaigns
  • ▸Speed is not a concern
  • ▸Governance is not required

How OUTLIER approaches it

We design reusable activation systems that power campaigns. This includes:

  • ▸Offer, mission, wallet, and referral engines
  • ▸Configurable rules instead of hard-coded logic
  • ▸Built-in governance and reporting

What changes after

  • ▸New campaigns launch in days, not weeks
  • ▸Teams reuse proven mechanics
  • ▸Risk decreases as speed increases
Book a working sessionView more servicesNot sure? See how campaign systems replace campaign chaos

Recent proof points

LINE Platform

LINE mini app overhaul readiness

LINE Platform

Validated

Validated (Lab tested)

LINE mini app overhaul readiness

Prepared a production-ready overhaul framework to migrate standard LINE LIFF experiences into a scalable LINE mini app — designed around habit loops, rewards, and partner activation.

  • ▸End-to-end mini app architecture replacing standard LIFF flows
  • ▸Reward logic and habit loop mechanics tested in controlled environments
  • ▸Integration patterns for retail partner participation and campaign scaling
  • ▸Deployment playbook ready for brand rollout
Services

GenAI support copilot with RAG

Services

Validated

Digital services company

GenAI support copilot with RAG

Designed an intelligent, on-brand GenAI copilot that turns internal knowledge into real-time, personalized support — learning continuously from customer behavior while operating within strict governance and legal guardrails.

  • ▸Controlled RAG engine trained only on approved internal knowledge
  • ▸Built-in guardrails to ensure brand safety, accountability, and legal compliance
  • ▸Human-in-the-loop escalation for sensitive or high-impact interactions
  • ▸Self-learning feedback loop using real user input and behavior
  • ▸CRM-integrated intelligence to tailor responses by customer profile and context