Postal vs Postalytics
Zero of fourteen models named Postal first on the direct prompt; zero named Postalytics. Postal was named by fourteen of the fourteen models and Postalytics by nine and Postal carries 53 labels and Postalytics 14, so the shares are not directly comparable.
Named in two categories this edition.
Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the direct mail and gifting platforms page.
By framing
PostalFirst choices, of fourteen modelsPostalytics
Across every category in the November 2026 Edition, Postal and Postalytics were named in the same answer thirty-five times, of the 168 answers naming Postal and the 168 naming Postalytics. In those answers Postalytics took the first choice six times and Postal four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | | |
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | | |||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | | | | |
Postal Postalytics first choice named as an alternative argued againstblank: not namedEach cell is one answer, Postal on the left and Postalytics on the right.The direct prompt
Neither was the first choice, one was named
11 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Postal20%#2 of 11Postalytics2%#7 of 11What the models said about Postal
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Why be cautious: Users frequently report extremely slow customer support ... reports of "ghosting" after payment.” Qwen 3.7 Flash · negative prompt · hard negative
“Postal by Sendoso (20% negative labels): Underdeveloped integrations” Kimi K2 · negative prompt · hard negative
“Postal is somewhat more accessible but still leans higher-cost.” Grok 4.20 · budget prompt · hard negative
“Postal and Lob are top choices, especially if you need both direct mail and gifting options” Mistral Small · budget prompt · first choice
“The best direct mail and gifting platform for a company with a limited budget is Postal.” Llama 4 Maverick · budget prompt · first choice
“Postal by Sendoso is the most quoted "value for money" gifting + direct mail platform” Muse Glimmer 30B · budget prompt · first choice
What the models said about Postalytics
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Postalytics (Use with Caution)” GLM 4.7 FlashX · negative prompt · soft negative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.