Use large pricing gaps to intentionally filter customers—25x jump separates serious users from tire-kickers
Cotera's pricing: $20/month (access to AI models, basic tool connections) → $500/month (credits to run agents at scale on data warehouses). The 25x gap is intentional, not accidental. $20 lets people test, build chatbots, experiment with light automation—proves the concept. But if you want to run agents at scale across your data warehouse, hitting APIs repeatedly, processing thousands of records, you need credits and that costs $500. The gap filters: Are you serious about automation or just curious? Serious teams jump the gap; hobbyists stay at $20 or churn. This is better than gradual tiers ($20 → $40 → $80 → $160) which optimize for incremental upsells but don't filter for intent. Large gap creates clear threshold: casual vs. committed.
When to use
Use large pricing gaps when you have distinct use cases—light/experimental use vs. production/scale use. Works well for infrastructure, APIs, automation tools where there's a natural threshold between 'testing' and 'serious usage.' Gap should align with value delivered: $20 = individual use, $500 = team/enterprise use with 25x more value.
Don't do this
Gradual pricing increments ($20 → $30 → $50) that don't clearly separate customer segments. Or having expensive bottom tier that prevents testing, or cheap top tier that leaves money on table from serious customers. Gap pricing only works when bottom tier is genuinely useful for casual use and top tier delivers proportional value.
1 Founder Who Did This
$20/month tier: access to Claude, ChatGPT, all models + basic tool connections (Gmail, Slack) for chatbots. $500/month tier: credits to run agents at scale on data warehouses (Snowflake, Redshift, BigQuery). 25x gap filters for serious automation users.