Docket pricing

About

Docket is an AI Marketing Agent built by Docket Inc. that lives on a B2B company’s website and holds a real conversation with every visitor — greeting them, answering product questions, qualifying intent, and booking the right account executive on the spot. At its core is the Sales Knowledge Lake™, a proprietary knowledge architecture that ingests a company’s CRM, Gong call intelligence, Slack, Google Drive, Notion, SharePoint and 100+ other sources so the agent can answer accurately without hallucinating. Docket engages visitors across voice, text, slide and video conversations, and syncs full conversation context (pain points, qualification answers, next steps) back into Salesforce or HubSpot.

Docket was founded in 2023 in Palo Alto, California (567 University Ave) by Arjun Pillai (Co-Founder & CEO, formerly an executive at ZoomInfo) and Anoop Thomas Mathew (Co-Founder & CTO). The company is private and venture-backed — its Series A (July 2024) was led by investors including Mayfield and Foundation Capital — and it was named a Gartner Cool Vendor 2024. Named customers include Zenity, Whatfix and Demandbase.

Docket competes directly with the conversational-marketing category pioneered by Drift and Qualified, and explicitly positions itself as the successor as those incumbents wind down — running a dedicated migration program for teams leaving them. For the most current information, visit Docket.

Pricing summary : How Docket’s traffic-based, all-inclusive model works

Docket uses a tiered annual subscription metered on website traffic — the single value metric is monthly website visitors, not seats and not conversations. The model has two public dimensions:

1. Traffic tier (the meter): Growth, starting at $3K/month (billed annually), covers up to 20,000 monthly visitors; Scale, starting at $4K/month, covers 20,000–100,000 monthly visitors and is the “most popular” plan; Enterprise is custom-priced for 100,000+ monthly visitors.
2. All-inclusive bundle: every tier includes unlimited conversations, unlimited data-source integrations (100+ sources), CRM sync, voice + text, meeting booking, and full implementation by Docket’s CS team — with no seat fees and no per-conversation overage.

Note on the value metric: there is no canonical “visitors” billing unit in this corpus, so Docket’s meter is mapped to active-users for taxonomy purposes — but the billed quantity is website visitors per month, an audience-size meter rather than a logged-in-user meter.

What makes this different: by metering on traffic rather than seats or conversations, Docket fully decouples price from both internal team size and how much the AI talks — a deliberately predictable, all-inclusive flat-rate posture that inverts the per-resolution and per-conversation metering dominant elsewhere in conversational AI.

Pricing by product

Docket AI Marketing Agent (public plans)

Sales motions across products: pricing is public, but the motion is demo-first — every tier (including Growth and Scale) routes through “Book a Demo,” so it is effectively sales-led across the board with PLG-style transparent list prices.

What “all-inclusive” actually covers

Docket’s headline is “Simple. Traffic Based. All-Inclusive.” Every plan bundles, at no extra charge:

• Unlimited conversations — no conversation caps, no per-conversation overage, 24/7 visitor engagement.
• Unlimited data sources — 100+ integrations (Salesforce, HubSpot, Gong, Slack, Google Drive, Notion, SharePoint) feeding the Sales Knowledge Lake™.
• Implementation by Docket’s CS team — knowledge-base setup, CRM integration and conversation tuning, with no engineering resources required (a JavaScript snippet, similar to adding Google Analytics).
• Voice + text — both conversation modes are included in every plan; there is no separate voice tier or add-on.
• Enterprise security — SOC 2 Type II, GDPR, ISO 27001 across all tiers.

Hidden costs : What Docket buyers actually pay on a traffic-metered plan

Docket’s all-inclusive structure removes the usual SaaS surprise charges — there are no seat fees, no conversation overages and no per-integration add-ons. The cost drivers that remain are structural rather than line-item: the annual commitment and the traffic-tier boundary you land in.

Archetype 1 — mid-market B2B site (~18,000 monthly visitors)

Under 20,000 visitors, the bill is a flat $3K/month regardless of how many salespeople use the platform or how many visitor conversations the AI runs.

Archetype 2 — scaling inbound site (~60,000 monthly visitors)

The single decision that moves the bill is which traffic band you cross: jumping from under-20,000 (Growth) to over-20,000 (Scale) is a $1K/month step regardless of seats or conversation volume. Cross 100,000 visitors and you move to a custom Enterprise quote. Because the meter is audience size, a marketing campaign or seasonal traffic spike — not your team headcount — is what can push you into the next tier.

Want to estimate your own Docket bill? Use the Docket pricing calculator to model your monthly cost based on your website’s monthly visitor volume and traffic tier.

Pricing evolution : From a young Palo Alto startup to a public traffic-based rate card

Cadence

Tracked range: 2023–2026. The Wayback Machine returned 0 archived snapshots of docket.io/pricing, so historical price points before 2026-06-20 could not be independently observed; only the live rate card and dated funding events are confirmed. Quarters not listed had no observed pricing activity.

Notable changes

• 2024-07-25 — Series A round (led by investors including Mayfield and Foundation Capital) to scale the AI Marketing Agent; source: Docket’s Crunchbase company profile.
• 2026-06-20 — Public, all-inclusive traffic-based pricing observed: Growth starting at $3K/mo (up to 20,000 visitors), Scale starting at $4K/mo (20,000–100,000 visitors, “most popular”), Enterprise custom (100,000+ visitors); source: docket.io/pricing.

What’s unique : Traffic-as-meter and the all-inclusive bundle

1. Website traffic is the value metric. Docket bills on monthly website visitors — an audience-size meter — rather than seats or conversations. This is rare: it aligns price with the size of the inbound funnel the agent works against, not with how many internal users you have or how much the AI talks. It is the inverse of the per-resolution and per-conversation metering sweeping the rest of conversational AI.

2. Genuinely all-inclusive packaging. “No seat fees. No conversation caps. No surprises.” Unlimited conversations, unlimited data sources, and full CS-led implementation are bundled into one number — eliminating the overage anxiety that defines metered AI billing and making the bill predictable a year in advance.

3. The Sales Knowledge Lake™ as the integration moat. Because every integration (100+ sources) is included rather than gated, the pricing actively encourages connecting more data — “the more you connect, the smarter Docket gets” — turning data breadth into a product flywheel instead of an upsell line.

4. Migration-as-go-to-market. Docket prices and positions explicitly against Drift and Qualified end-of-life, pledging financial and migration support to switchers — using a competitor’s sunset, not a discount, as the wedge.

Strengths & weaknesses

Billing UX : Annual commitments, demo-first onboarding and traffic tiers

• Traffic-tier selection — plans are bounded by monthly-visitor bands (≤20K, 20K–100K, 100K+); the tier you sit in is the primary billing lever.
• Annual billing — all paid plans are billed annually (“Billed annually” on every card), so commitments and budgeting are yearly rather than month-to-month.
• Book a Demo — the only call-to-action across all tiers; there is no self-serve checkout. Onboarding is run by Docket’s CS team (standard 7–14 days on Growth, priority 5–7 days on Scale).
• Custom demo in lieu of a trial — instead of a free trial, Docket builds a customized demo on the prospect’s own website to preview the live experience.
• CRM-synced analytics — conversation context, pain points, qualification answers and next steps sync automatically to Salesforce or HubSpot, doubling as the usage/value visibility layer.

Strategic wins : Why traffic-based, all-inclusive pricing works for Docket

1. A value metric buyers can forecast

Metering on website traffic ties cost to something marketing leaders already measure and forecast — monthly visitors — rather than an unpredictable usage counter. This is textbook value-metric selection: the meter scales with the buyer’s success (more inbound traffic) without punishing them for engaging it. See also how AI companies are shifting away from per-user licenses.

2. All-inclusive packaging kills bill-shock objections

By bundling unlimited conversations and integrations, Docket removes the overage anxiety that drives AI cost unpredictability and bill shock. A single, knowable annual number is an easier enterprise sell than a metered invoice that swings month to month.

3. Transparency as a wedge against opaque incumbents

Publishing real prices in a category where most rivals hide behind “contact sales” is a differentiator in itself — it lets Docket win the introduction-stage buyer before a sales call, then convert them via the demo-first motion.

Areas to improve : Closing the self-serve and trial gaps

1. No genuine self-serve entry

Publishing prices but routing every tier through “Book a Demo” creates a mismatch — the transparency invites self-serve interest the funnel can’t fulfill. A concrete fix: offer a true self-serve Growth signup (snippet install + automated onboarding) for the simplest sites, reserving sales-led onboarding for Scale and Enterprise.

2. Traffic-tier cliffs need softening

A site at 19,500 visitors pays $3K; at 20,500 it jumps to $4K — a hard step that penalizes growth and campaign spikes. A graduated or pro-rated overage band between tiers, or a published per-1,000-visitor rate near the boundary, would smooth the cliff. See usage-based pricing fundamentals on tier-boundary design.

3. No trial or free entry point

Replacing the free trial with a custom-built demo raises friction for self-directed evaluators. A time-boxed live trial on a section of the prospect’s traffic would let buyers verify the 2.4% engagement claim before committing to an annual contract.

Key takeaways

1. Pick a metric the buyer already forecasts. Docket meters on website visitors — a number marketing teams track natively — so cost feels predictable and aligned with funnel size rather than internal headcount.
2. All-inclusive beats metered for trust. Bundling unlimited conversations and integrations into one annual number removes overage anxiety and simplifies the enterprise buy.
3. Transparency is a competitive act. Publishing real prices ($3K / $4K) in a “contact sales” category wins the early buyer before a demo.
4. Decouple price from cost-to-serve carefully. Traffic-based pricing can break from underlying inference/conversation costs at high engagement — margin risk lives in the unlimited-conversations promise.
5. Use a competitor’s sunset as a wedge. Docket’s Drift/Qualified migration program turns incumbent end-of-life into a pricing-and-positioning advantage.

UBP implications

1. Audience-size meters are a viable third path. Beyond seats and consumption, “size of the funnel you serve” (visitors) is a legitimate value metric — predictable for buyers, growth-aligned for vendors.
2. Unlimited usage shifts margin risk to the vendor. Promising unlimited conversations on a flat traffic fee means inference cost must be modeled against engagement rate, not just visitor count — a cost-to-serve discipline usage-based teams should borrow.
3. Public list prices and sales-led motions can coexist. Docket shows transparency and a demo-first funnel aren’t mutually exclusive — the price card does the qualifying so sales handles only intent-rich buyers.

Sources

• Docket pricing page (accessed 2026-06-20)
• Docket platform overview (accessed 2026-06-21)
• Docket FAQs (accessed 2026-06-21)
• Docket about / company (accessed 2026-06-21)

Bottom line

Docket sells an AI Marketing Agent for B2B websites on a refreshingly simple basis: a public, all-inclusive annual subscription metered on monthly website traffic — $3K/mo for up to 20,000 visitors (Growth), $4K/mo for up to 100,000 (Scale), and custom above that. No seat fees, no conversation caps, no integration add-ons. The trade-offs are a high floor, annual-only commitments, traffic-tier cliffs and a demo-first funnel with no self-serve trial — but for mid-market inbound teams (especially those leaving Drift or Qualified), the predictability is the product.

Want to compare Docket against other marketing and conversational AI pricing? Browse the pricing blueprint.

Pricing timeline : Major events on a vertical axis

Each milestone below corresponds to a public pricing change, product launch, or material adjustment. Major events use a filled marker; minor adjustments use a faded one.

Public traffic-based pricing: Growth $3K, Scale $4K, Enterprise custom

Jun 2026

Docket publishes a transparent, all-inclusive rate card metered on monthly website visitors: Growth starting at $3K/mo (up to 20,000 visitors), Scale starting at $4K/mo (20,000–100,000 visitors, 'most popular'), and custom-priced Enterprise (100,000+ visitors). No seat fees, no conversation caps, unlimited integrations; every CTA is 'Book a Demo.'

Series A — scaling the AI Marketing Agent

Jul 2024

Docket (founded 2023, Palo Alto) raised a Series A led by investors including Mayfield and Foundation Capital to scale its website-visitor AI Marketing Agent and the Sales Knowledge Lake architecture. Source: Crunchbase company profile (crunchbase.com/organization/docket-a41f).