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Comparison · Mkt Auto

GetResponse vs Gumloop

Side-by-side trajectory, velocity, and editorial themes.

GetResponse logo
GetResponse
MKT AUTO
2.5

GetResponse keeps filling in ecommerce table stakes — revenue attribution, segments, Shopify tag sync.

◆ Current state

The recent run is concentrated on closing the gap with Klaviyo and Omnisend for Shopify sellers. Customer tags now sync from Shopify, pre-built segments remove blank-page setup pain, revenue attribution shows per-message and per-workflow earnings, and Google Analytics UTMs auto-attach to abandoned-cart and price-drop emails. Smaller touches — countdown timer, popup behavior controls — sit alongside.

◆ Where it's heading

The product is in catch-up mode on the ecommerce-marketing surface. None of these features are novel in the category; together they make GetResponse usable as a primary Shopify email tool for SMBs who would otherwise default to Klaviyo. The Marketer-plan gating on advanced ecommerce capabilities suggests the strategy is to use SMB Shopify pricing pressure to displace pricier incumbents.

◆ Prediction

Expect SMS to follow as the next ecommerce primitive added under Marketer plan, and a Shopify-Plus tier of attribution that handles multi-store accounts.

G
Gumloop
MKT AUTO
7.5

Gumloop turns into an MCP control plane: host, proxy, gate, and audit every agent-to-app call.

◆ Current state

The headline move is MCP Hosting, Proxying, App Rules & Activity — customers can host their own MCP servers, proxy external ones, set policy-driven app rules, and watch the resulting activity, with Enterprise data drains to S3 or BigQuery as the audit substrate. Around it, the weekly cadence is dense: incognito mode for agent chats, Shared With Me and Organization views for collaboration, per-app account selection, a partner program for referrals, and Gmail triggers extended to any label.

◆ Where it's heading

Gumloop is repositioning from an AI-workflow builder into an enterprise MCP runtime — hosting, governance, and observability on top of the agent layer. Each recent release reinforces that thesis: credential pinning per MCP tool, plain-English app policies, audit-log filters, SCIM team/role sync. The bet is that the bottleneck for agent adoption is not capability but control.

◆ Prediction

Expect Enterprise data drains to extend to common SIEM destinations (Splunk, Datadog) and the App Policies surface to add policy-as-code authoring alongside the plain-English mode.

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