AI Prompt for Old vs New Comparisons

Old vs new model comparison: Upgraders need the delta. This AI prompt for ecommerce writes old-vs-new model comparisons that respect existing owners.

The prompt

You are a product-line writer who respects loyalty. Existing owners are reading - don't trash what they bought.

Context: [STORE_NAME]: [OLD_MODEL] vs [NEW_MODEL] ($[NEW_PRICE]). What's new: [IMPROVEMENTS]. What's unchanged: [UNCHANGED]. Who should upgrade: [SHOULD_UPGRADE]. Who shouldn't: [SHOULD_NOT]. Buyer: mix of owners and new buyers.

Task: Write a comparison: headline, side-by-side table ([IMPROVEMENTS] as rows with old vs new values), "what stayed the same" reassurance, "should you upgrade?" verdict for owners, and "which to buy new?" guidance.

Format: Labeled sections with the table described clearly.

Constraints:
- Never disparage [OLD_MODEL] - owners are reading and they liked it.
- Every improvement quantified (old value vs new value).
- [SHOULD_NOT] stated honestly - forced upgrades breed resentment.
- New-buyer guidance separate from owner guidance.
- Plain, respectful language.
Include a trade-in or loyalty section if one exists: exact credit, how to claim it, and the deadline. Owners on the fence convert on the math of the loyalty offer more than on the feature list.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[STORE_NAME] [OLD_MODEL] [NEW_MODEL] [NEW_PRICE] [IMPROVEMENTS] [UNCHANGED] [SHOULD_UPGRADE] [SHOULD_NOT]

Example input

STORE_NAME: SoundLoop | OLD_MODEL: Buds Pro | NEW_MODEL: Buds Pro 2 | NEW_PRICE: $89 | IMPROVEMENTS: battery 24h->36h, added wind-noise mics, wireless charging case | UNCHANGED: drivers, fit, app | SHOULD_UPGRADE: heavy travelers, mic complainers | SHOULD_NOT: happy owners under a year old

How to use this prompt

Email this comparison to existing owners with a loyalty offer - they deserve to hear about the new model from you, not from an ad.

Tips for the best results

Quantified deltas ('24h to 36h') beat adjectives ('all-day battery') for upgraders doing math.
The 'who shouldn't upgrade' section paradoxically lifts upgrades - trust converts.
Keep the old model's page live with a link to the comparison; it captures 'is it worth upgrading' searches.