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Comparison · CRM

Keap vs Folk

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

Keap logo
Keap
CRM
0.0

Keap is folding deeper into the Thryv platform; the v2 REST API just hit parity.

◆ Current state

Keap publishes a regular monthly product roundup covering automations, email, branding, and reporting. The biggest single move in the last cycle is the Thryv v2 REST API reaching full feature parity with the legacy XMLRPC API, with new SDKs alongside it. Branding and copy across recent updates increasingly leads with Thryv rather than Keap, suggesting the post-acquisition merge is now visible in product surfaces.

◆ Where it's heading

Keap is on a steady CRM-feature cadence — scheduling, segmentation, email deliverability, automation triggers — while the underlying platform shifts under the Thryv brand and API. Developer ecosystem work (v2 REST + SDKs) signals an attempt to revive third-party integration momentum that XMLRPC was bottlenecking. Expect Keap-branded surfaces to keep narrowing as Thryv consolidates the small-business suite.

◆ Prediction

The XMLRPC API has a deprecation window coming — likely a public timeline within a quarter or two. Cross-product features (booking, reputation, marketing) will increasingly land as Thryv-branded rather than Keap-branded, accelerating the brand transition.

Folk logo
Folk
CRM
6.3

Folk wraps an autonomous AI layer around its CRM data hygiene work.

◆ Current state

Folk is on a near-weekly cadence with two parallel arcs: AI-driven enrichment and outbound communication. Auto-fill AI in late April promises continuous, autonomous data cleanup and insight extraction. Email scheduling, send previews, and the Fireflies integration build out the relationship-management surface. Admin visibility and sender-control tweaks address compliance edges.

◆ Where it's heading

Folk is positioning as the CRM that keeps itself current without operator effort: AI fills records, conversation tools feed context, and scheduled outreach closes the loop. The directional bet is that small teams will pay for autonomy over data hygiene, not for more fields to fill in manually. Expect more autonomous workflows that span enrichment, segmentation, and outreach.

◆ Prediction

The next directional move likely turns Auto-fill AI into named, scopeable autonomous routines (lead-research agent, dedupe agent) rather than a single setting. Deeper Fireflies-style integrations with other meeting tools should follow.

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