How to choose the right campaign type
Last updated: December 22, 2025
Marketer offers multiple campaign types designed for different goals, budgets, and stages of growth. Choosing the right one is important—using the wrong campaign type can slow learning, limit spend, or produce misleading results.
Below is a practical guide to help you choose the right campaign type based on what you’re trying to achieve.
Retargeting campaign (Meta)
Best for: Converting high-intent users
Audience: Warm traffic only
Retargeting campaigns show ads to people who have already interacted with your store, such as:
Website visitors
Product viewers
Cart visitors
Past customers
Why use it
Typically the highest-converting campaign type
Focuses on users who already know your brand
Very efficient when enough traffic exists
When to use it
Your Meta Pixel/Dataset already has meaningful traffic
You’ve been running prospecting campaigns for a while
You want to capture missed conversions
Creatives
Uses a product catalog based on your store’s products
Budget behavior
May not spend full budget if the audience is too small
This is normal and improves as traffic grows
Prospecting campaign (Meta)
Best for: Testing products and finding new customers
Audience: Cold traffic only
Prospecting campaigns introduce your product to people who have never interacted with your store before.
Why use it
Core campaign type for growth
Helps Meta learn who is likely to convert
Ideal for discovering demand and audiences
When to use it
New store with limited pixel data
Launching a new product
Scaling beyond existing audiences
Creatives
AI-generated creatives optimized for the selected product
Single Item campaign (Meta)
Best for: Full creative control on one product or collection
This campaign is similar to prospecting but allows you to upload your own images and videos.
Why use it
You want full control over creatives
You already have proven assets (UGC, videos, branded content)
Landing page
Product page or collection page (based on selection)
Customized Creative campaign (Meta)
Best for: AI-driven creative testing on a small product set
Products: Up to 4
This campaign uses Marketer’s AI to generate and optimize creatives based on performance.
Why use it
The AI continuously learns which creatives perform best
Strong balance between automation and control
Good for testing multiple hero products without manual creative work
Use this when
You want AI to handle creative generation
You’re promoting a small group of key products
Product Catalog campaign (Meta)
Best for: Advertising many products at once
Products: 5+ recommended
Catalog campaigns automatically promote products using a carousel format.
Why use it
Scales well with large inventories
Automatically pulls product data from Shopify
Ideal for collections and broad discovery
Who it’s for
Stores with many SKUs
Brands promoting categories or collections
Performance Max (Google)
Best for: Capturing high-intent demand on Google
Primary placement: Shopping ads
Performance Max uses Google’s AI to show ads across multiple Google placements, with Shopping being the most important for e-commerce.
Why use it
Captures demand from users actively searching for products
Expands reach beyond Meta
Works well alongside Meta prospecting
Use this when
Your products are commonly searched for
Pricing is competitive
You want visibility in Google Shopping
Not ideal when
Products rely heavily on visual storytelling
Pricing is significantly higher than competitors
Quick decision guide
Want to convert past visitors? → Retargeting
Testing a new product or store? → Prospecting
Want to use your own creatives? → Single Item
Want AI-generated ads for a few products? → Customized Creative
Advertising many products at once? → Product Catalog
Want to advertise on Google? → Performance Max
Final note
Most successful accounts use multiple campaign types together over time:
Prospecting to drive traffic
Retargeting to convert it
Google Performance Max to capture search demand
If you’re unsure where to start, begin with Prospecting, then layer in Retargeting once data builds.