SMS and WhatsApp marketing platforms · October 2026 Edition
Customer.io vs Textedly
Eight of fourteen models named Customer.io first on the direct prompt; zero named Textedly. Customer.io was named by ten of the fourteen models and Textedly by eleven and Customer.io carries 13 labels and Textedly 14, so the shares are not directly comparable.
Named in ten categories this edition.
Named in four categories this edition.
First-choice share17%10%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 17; printed, not drawn.
Labels1314A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Customer.io reading right to left. Rank and label count are printed, not drawn.Salesmsg was named alongside these two in thirteen of the fourteen direct answers. Customer.io vs Salesmsg · Customer.io vs Brevo · Customer.io vs Twilio
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 SMS and WhatsApp marketing platforms page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Customer.ioFirst choices, of fourteen modelsTextedly
Direct80
Paraphrase10
Comparative00
Budget-constrained05
Scale-constrained00
Negative001 against Textedly
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Customer.io and Textedly stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | ||||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | |||
| 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 | | | |
Customer.io Textedly first choice named as an alternative argued againstblank: not namedEach cell is one answer, Customer.io on the left and Textedly on the right.The direct prompt
The plain question, one answer per model, grouped by where Customer.io and Textedly stood in it.
Customer.io first, Textedly not the choice
8 of 14 modelsTextedly was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Customer.io alternatives: ActiveCampaign, Sakari, Salesmsg, SimpleTexting
Perplexity SonarCustomer.io alternatives: Attentive, Salesmsg, Sinch, SlickText, Vibes
Mistral SmallCustomer.io alternatives: Heymarket, Salesmsg, SimpleTexting, Sinch, SlickText
DeepSeek V4 FlashCustomer.io alternatives: ActiveCampaign, Salesmsg, Twilio
Llama 4 MaverickCustomer.io alternatives: Heymarket, Salesmsg, SimpleTexting, SlickText
Qwen 3.7 FlashCustomer.io alternatives: Heymarket, Salesmsg, SimpleTexting
GLM 4.7 FlashXCustomer.io alternatives: Braze, Salesmsg, Twilio
Muse Glimmer 30BCustomer.io alternatives: Heymarket, Salesmsg, Sinch, SlickText
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashSalesmsg alternatives: Aloware, Customer.io, Kixie, Mogli, SMS-Magic, TextUs
Grok 4.1 FastSalesmessage alternatives: Customer.io
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniSalesmsg alternatives: Birdeye, SMS-Magic, Sinch, SlickText
Kimi K2Salesmsg alternatives: ActiveCampaign, SimpleTexting, Sinch
MiniMax M2.5Salesmsg, SlickText alternatives: Klaviyo SMS, Sinch, Twilio
GPT-6 LunaSalesmsg alternatives: HubSpot's own SMS, Sakari, TextUs
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Textedly leads by eleven points.
Textedly11%#3 of 12Customer.io0%#– of 12Mid-marketThe figures above
The order flips: Customer.io leads at mid-market.
Customer.io17%#1 of 17Textedly10%#4 of 17Enterprise
Level: the same share of first choices.
Customer.io0%#– of 9Textedly0%#– of 9What the models said about Customer.io
No label in this category carried a quote.
What the models said about Textedly
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Some users have reported: Auto replies being frequently down - Customer service not responding to issues - Difficulty canceling and continued charges” MiniMax M2.5 · negative prompt · hard negative
“Highlighted as the best budget-friendly option, Textedly is ideal for businesses that need to send a high volume of messages at a low cost.” Mistral Small · budget prompt · first choice
“The best SMS marketing platform for a company with a limited budget is Textedly, as it is considered the best budget-friendly option.” Llama 4 Maverick · budget prompt · first choice
“Textedly is the best budget-friendly option for budget-conscious businesses that need high message volume at a low cost.” Claude Haiku 4.5 · budget prompt · first choice
Also compared
Customer.io vs SalesmsgCustomer.io vs BrevoCustomer.io vs TwilioCustomer.io vs EZ TextingCustomer.io vs SimpleTextingCustomer.io vs SlickTextSalesmsg vs TextedlyBrevo vs TextedlyTextedly vs TwilioTextedly vs EZ TextingTextedly vs SimpleTextingTextedly vs SlickTextAll twenty-eight head-to-head pages and the full SMS & WhatsApp standing
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.