Basis
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Solutions · Role

Performance marketers

AI for performance marketers: connect accounts, brief in chat, ship ad creatives, and optimize without losing brand control.

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The job

What slows this role down

Media needs more variants than creative can produce. Brand still gates. Account data is siloed. APAC placements don’t match one-size creative defaults.

How Basis fits the seat

Connect LINE, WhatsApp, KakaoTalk, Facebook, Instagram, Meta, Google Ads, TikTok, and more so performance Operators start with full history. Chat for audits and launches; generate hooks, primaries, CTAs, creatives, and LP variants; publish and optimize from winners in-thread.

Workflow

How performance marketers work in Basis

Connect → chat → create → publish, matched to how performance teams ship weekly.

  1. Step 01

    Connect your ad accounts

    One-click LINE, WhatsApp, KakaoTalk, Facebook, Instagram, Meta, Google Ads, TikTok, Shopify, and GA4 — full history from day one.

  2. Step 02

    Chat with your Operator

    Ask for audits, wasted-budget finds, or product launches. Analysis, recommendations, and actions stay in one thread.

  3. Step 03

    Create campaigns and creatives

    Targeting, budgets, copy, video and image ads, plus LP variants, built in conversation.

  4. Step 04

    Publish and optimize

    Launch across platforms, then monitor, rotate creative, reallocate budget, and surface winners without report-chasing.

What you ship

  • Connected performance context from day one
  • Hook and angle lists by placement
  • Primary text, CTA, and creative batches
  • Landing hero and proof variants
  • Festival / market adaptations

Example brief

“Meta feed + Stories for beauty launch in ID + MY. 20% off, free shipping over IDR 250k. Audience: women 18–34 skincare beginners. 10 hooks, 10 primaries, 5 CTAs. No medical claims. Warm, peer tone.”

Outcomes for this role

  • More tests, less production drag

    Feed the media plan without a full rewrite every flight.

  • Brand-safe volume

    Avoid lists travel with every batch of variants.

  • Faster LP message-match

    Ad and landing language stay intentionally aligned.

  • Optimize in-thread

    What worked, and what to cut, stays in chat for the next sprint.

Related use cases

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