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Customer success platforms · September 2026 Edition

Custify vs Skalin

Zero of twelve models named Custify first on the direct prompt; zero named Skalin. Custify was named by eleven of the twelve models and Skalin by seven and Custify carries 42 labels and Skalin 14, so the shares are not directly comparable.

Custify

accepted challenger

Named in two categories this edition.

Skalin

accepted challenger

Named in two categories this edition.

First-choice share16%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 10; printed, not drawn.
Labels4214A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Custify reading right to left. Rank and label count are printed, not drawn.ChurnZero was named alongside these two in twelve of the twelve direct answers. ChurnZero vs Custify · ChurnZero vs Skalin · Vitally vs Custify

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 customer success platforms page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
CustifyFirst choices, of twelve modelsSkalin
Direct001 against Skalin
Paraphrase10
Comparative00
Budget-constrained711 against Custify
Scale-constrained111 against Custify
Negative02
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Custify and Skalin were named in the same answer eighteen times, of the 114 answers naming Custify and the 25 naming Skalin. In those answers Skalin took the first choice two times and Custify five.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Custify and Skalin stood in it.
ModelDirectSKParaphraseSKComparativeSKBudget-constrainedSKScale-constrainedSKNegativeSK
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 FlashSKSK
Perplexity Sonar
Grok 4.1 FastSKSK
Mistral SmallSK
DeepSeek V4 FlashSKSK
Llama 4 Maverick
Qwen 3.7 FlashSK
Kimi K2SKSKSK
GLM 4.7 FlashX
MiniMax M2.5
CustifySK Skalin first choice named as an alternative argued againstblank: not namedEach cell is one answer, Custify on the left and Skalin on the right.

The direct prompt

The plain question, one answer per model, grouped by where Custify and Skalin stood in it.

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Vitally alternatives: ChurnZero, Custify, Totango
Grok 4.1 FastChurnZero alternatives: ClientSuccess, Custify, Gainsight, Planhat, Vitally
Mistral SmallChurnZero, Vitally alternatives: ClientSuccess, Custify, Gainsight, Planhat
Qwen 3.7 FlashChurnZero, ClientSuccess alternatives: Skalin
Kimi K2ChurnZero alternatives: ClientSuccess, Custify, Planhat, Vitally
GLM 4.7 FlashXVitally alternatives: ChurnZero, Custify, Planhat

Neither was named

6 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniChurnZero alternatives: Gainsight, Totango
Gemini 3.5 FlashVitally alternatives: ChurnZero, Planhat, Totango
Perplexity SonarChurnZero alternatives: ClientSuccess, Gainsight, Planhat, Vitally
DeepSeek V4 FlashVitally alternatives: Catalyst, ChurnZero, Planhat
Llama 4 MaverickChurnZero alternatives: ClientSuccess, Planhat, Vitally
MiniMax M2.5ChurnZero, Vitally alternatives: ClientSuccess, Planhat

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
Custify leads by fifty-five points.
Custify55%#1 of 9
Skalin0%#– of 9
The full small business standing →
Mid-marketThe figures above
Custify leads by twelve points.
Custify16%#3 of 10
Skalin4%#6 of 10
The full mid-market standing →
Enterprise
The order flips: Skalin leads at enterprise.
Skalin5%#– of 7
Custify0%#– of 7
The full enterprise standing →

What the models said about Custify

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“Avoid: Pure SMB tools (Custify, Akita) — you'll outgrow them in 12-18 months.” Kimi K2 · scale prompt · hard negative
“Avoid pricier options like Custify (~$199–$899/month)” Grok 4.1 Fast · budget prompt · hard negative
“Custify and Skalin offer the best balance of dedicated customer success features and affordability” Mistral Small · budget prompt · first choice
“If I had to give one default recommendation, I'd choose Custify for a limited-budget company” Perplexity Sonar · budget prompt · first choice
“Custify — best overall value ... the most common sweet spot for budget-conscious SMB SaaS teams” DeepSeek V4 Flash · budget prompt · first choice

What the models said about Skalin

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Skalin claims #1 on Capterra/G2 (4.92/5), but lower visibility/scale vs. leaders.” Grok 4.1 Fast · direct prompt · soft negative
“Custify and Skalin offer the best balance of dedicated customer success features and affordability” Mistral Small · budget prompt · first choice
“Vitally, ChurnZero, Catalyst, Custify, Skalin | Highly Recommended.” Gemini 3.5 Flash · scale prompt · first choice
“| Skalin | 4.90/5 | Top-rated for 5 years straight |” DeepSeek V4 Flash · negative prompt · first choice
Also compared

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.