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Index › Marketing › Ecommerce marketing › ActiveCampaign vs BigCommerce
Ecommerce marketing · October 2026 Edition

ActiveCampaign vs BigCommerce

Zero of fourteen models named ActiveCampaign first on the direct prompt; one named BigCommerce. ActiveCampaign was named by twelve of the fourteen models and BigCommerce by ten and ActiveCampaign carries 32 labels and BigCommerce 15, so the shares are not directly comparable.

ActiveCampaign

accepted challenger

Chicago, United States, founded 2003. Named in seventeen categories this edition.

BigCommerce

accepted challenger

Named in four categories this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 13; printed, not drawn.
Labels3215A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ActiveCampaign reading right to left. Rank and label count are printed, not drawn.HubSpot Marketing Hub was named alongside these two in twelve of the fourteen direct answers. HubSpot Marketing Hub vs ActiveCampaign · HubSpot Marketing Hub vs BigCommerce · Omnisend vs ActiveCampaign

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 ecommerce marketing page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ActiveCampaignFirst choices, of fourteen modelsBigCommerce
Direct01
Paraphrase201 against ActiveCampaign
Comparative00
Budget-constrained001 against ActiveCampaign
Scale-constrained01
Negative001 against BigCommerce
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 ActiveCampaign and BigCommerce stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
ActiveCampaign BigCommerce first choice named as an alternative argued againstblank: not namedEach cell is one answer, ActiveCampaign on the left and BigCommerce on the right.

The direct prompt

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

BigCommerce first, ActiveCampaign not the choice

1 of 14 modelsActiveCampaign was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashBigCommerce alternatives: HubSpot Marketing Hub, Klaviyo, Shopify, Shopware

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniHubSpot Marketing Hub alternatives: BigCommerce, Bloomreach, Oracle Eloqua, Salesforce Commerce Cloud
Gemini 3.5 FlashHubSpot Marketing Hub alternatives: ActiveCampaign, BigCommerce B2B Edition, OroCommerce, Shopify
Grok 4.1 FastHubSpot Marketing Hub alternatives: ActiveCampaign
Qwen 3.7 FlashHubSpot Marketing Hub alternatives: Adobe Marketo Engage, BigCommerce, Salesforce Commerce Cloud, Salesforce Marketing Cloud, Shopify
Muse Glimmer 30BHubSpot Marketing Hub alternatives: BigCommerce, Klaviyo, Omnisend, Shopify

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5BigCommerce B2B Edition alternatives: OroCommerce, Shopify
Perplexity SonarBigCommerce B2B Edition, HubSpot Marketing Hub alternatives: Salesforce B2B Commerce, Salesforce Commerce Cloud
Mistral SmallBigCommerce B2B Edition alternatives: HubSpot Marketing Hub, Klaviyo, Shopware
Llama 4 MaverickBigCommerce B2B Edition, Shopware
Kimi K2BigCommerce B2B Edition alternatives: HubSpot Marketing Hub, Shopify
GLM 4.7 FlashXBigCommerce B2B Edition alternatives: Adobe Commerce, HubSpot Marketing Hub, Klaviyo, Shopify Plus with B2B Features
MiniMax M2.5BigCommerce B2B Edition alternatives: HubSpot Marketing Hub, Shopify
GPT-6 LunaHubSpot Marketing Hub alternatives: Adobe Marketo Engage, Klaviyo

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
ActiveCampaign leads by four points.
ActiveCampaign8%#4 of 10
BigCommerce4%#6 of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
ActiveCampaign4%#5 of 13
BigCommerce4%#8 of 13
The full mid-market standing →
Enterprise
The order flips: BigCommerce leads at enterprise.
BigCommerce4%#7 of 11
ActiveCampaign0%#– of 11
The full enterprise standing →

What the models said about ActiveCampaign

No label in this category carried a quote.

What the models said about BigCommerce

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

“Poor customer service that refers problems to paid developers” GLM 4.7 FlashX · negative prompt · hard negative
“I'd suggest starting conversations with Shopify Plus, BigCommerce Enterprise, and Adobe Commerce as a baseline” MiniMax M2.5 · scale prompt · first choice
“BigCommerce (B2B Edition) — Best Overall for Mid-Market B2B” DeepSeek V4 Flash · direct prompt · first choice
“the strongest mid-market-friendly option is often BigCommerce or Salesforce Commerce Cloud” GPT-5.4 mini · direct prompt · alternative
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.