Drip Pricing Guide

Who this guide is for

This guide is for commerce operators who want Klaviyo-class workflow thinking without inheriting the category's complexity, and for subscription teams who keep hearing "Drip" in shortlists without anyone explaining where its object model stops. You will find the verified single-tier price, a candid map of what the workflow engine does well, and the exact places where a shopper-shaped contact model fights a SaaS lifecycle.

We assume you care about the craft of flows — branching, goals, testing, attribution — more than about assembling a stack of point tools. Drip's proposition is all features from the first paid day: no plan gating, no add-on matrix, one bill that steps only when the list does. That simplicity is the pricing story as much as the number $39 is.

There is no free plan below the trial, so the evaluation window itself deserves a section further down. Teams that enter the 14 days unprepared tend to leave with a vague feeling instead of a decision.

If you are comparing Drip against several vendors in one sitting, hold your twelve-month list projection constant across every guide's tier table. The axes diverge fastest once the list passes a few thousand — which is exactly where Drip's next band step hides.

Workflows that earn the price

Parallel paths, goal nodes, onsite intent triggers, built-in split testing, and revenue dashboards tie every flow to dollars: browse-then-educate, abandon-then-incentivize, buy-then-cross-sell. The workflow quality itself is worth studying even for SaaS teams.

What distinguishes Drip from cheaper email tools is that these primitives ship together. You do not bolt on a split-test app, a separate revenue report, and a goal engine — the canvas assumes you will iterate, so iteration is native rather than an enterprise upsell.

For storefronts, this combination is the product. For SaaS teams, it is a reminder of what good workflow craft looks like — and a prompt to check whether the same canvas can see your events at all, which the next section answers honestly.

The SaaS boundary

Trials, seats, and dunning lack first-class support, and the contact model assumes shoppers rather than accounts. Price Drip at eighteen-month list projections, since bands step with size. Commerce brands wanting depth without Klaviyo-scale commitment should shortlist it alongside the leader; compare in our verified pricing snapshot.

The mismatch shows up as vocabulary again. Drip excels when the conversion event is an order with a SKU, a cart value, and a catalog to cross-sell against. It struggles when conversion means an invoice paid, a plan upgraded, or a card retried — none of which arrive as native objects, all of which must be shoehorned into custom events and properties you maintain yourself.

Hybrid store-plus-app businesses can still split the work: keep cart, browse, and post-purchase flows here; keep trial, billing, and dunning where subscription events are first-class. What rarely works is one overloaded workflow trying to serve both dialects — when the mapping breaks, it breaks during exactly the incidents that matter most.

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Pricing tiers and the billing axis

Drip's axis is list size with unlimited sends — a hybrid that suits high-cadence commerce teams better than per-send pricing and large dormant bases worse than contact-free models. Because sends are uncapped, the bill does not care whether you email daily or monthly; it cares how many active people sit in the account. Hygiene and sunset policy therefore function as cost controls, not just deliverability hygiene.

Unlimited sends also removes a whole class of anxiety: you never ration a win-back campaign to protect a send allowance, and testing variants does not consume a monthly quota. For flow-heavy programs that iterate weekly, that freedom is worth more than it looks on a comparison sheet.

The trade sits at the band steps. Crossing from one list-size band to the next raises the floor immediately even if the new cohort has not engaged yet, so aggressive list-growth pushes should be timed against band breakpoints rather than ignored until renewal. And because there is no free plan, the total cost of ownership starts the day the trial ends — model that transition explicitly, and confirm current band prices on the official pricing page.

A useful rule for finance: divide twelve months of projected Drip spend by attributed revenue flowing through Drip-reported flows. Commerce teams that cannot clear that ratio inside two quarters are usually better served starting on a cheaper axis and upgrading when the dashboards prove retention lift — not before.

Where it fits in the five-stage lifecycle

Commerce lifecycle maps onto Drip almost one-to-one: every stage has template support, goal logic, and revenue reporting attached, which is why the product keeps appearing on store shortlists. A team shipping weekly campaigns and multi-step abandon flows will feel the unlimited-sends structure as genuine freedom rather than a marketing line.

SaaS lifecycle maps only partially. Welcome and nurture translate if you are willing to model product events by hand; convert and retain break first because trial and invoice state are foreign objects; win back is recoverable only if you define your own churn-decay logic instead of borrowing purchase decay curves. Each translation point is doable — and each is another schema you now own.

The honest placement: Drip belongs at stage one through five for storefronts, and at stages one, two, and five for pure subscription products while billing stages live on a platform whose native events match subscriptions.

One operational note for teams keeping both: give each stage exactly one system of record. When Drip and a billing platform both "own" win-back, subscribers receive duplicate sends and attribution doubles — the classic symptom of a boundary drawn with good intentions and no owner.

Automation depth: what you can and cannot build

Drip's workflow engine is among the calmest deep ones in commerce: parallel branches, goals, splits, and onsite triggers without enterprise-tier gates. The limits below are about event shape and contact modeling, not about missing node types.

• Unlimited sends covers email volume only — SMS bills on its own meter regardless of tier.
• The contact model is shopper-shaped; subscription objects require translation you maintain.
• Bands step with list size, so growth pushes reprice the account before revenue catches up.
• No free plan means the evaluation itself needs preparation to be honest within 14 days.
• Attribution shines on commerce events; SaaS upgrade attribution needs custom property discipline to report cleanly.

A final craft point: because split testing and revenue dashboards are included from day one, the first month should already produce a winning variant and a ranked list of flows by attributed dollars. Teams that skip that baseline never know whether the platform is earning its band step — they only know the bill.

Where Drip fits for SaaS teams

Drip deserves respect: for commerce workflows it ships goal nodes, onsite triggers, split testing, and revenue dashboards in one calm console, and the single-tier structure with unlimited sends is easier to forecast than most peers. Subscription teams should treat billing-state work as an integration project and keep the contact-band projection visible.

For teams specifically attached to Drip's calm console and unlimited sends, the migration question is rarely "is Drip good?" — it is "which stages must move for billing events to stop needing translators?" Moving only the convert-and-retain billing stages while commerce stays put is a common, stable end state.

Common mistakes when adopting Drip

• Wasting the 14-day trial on design polish. With no free plan behind it, the window must answer integration readiness, flow design, and band projection — prepare the data before day one.
• Assuming unlimited sends includes SMS. Email volume is uncapped; SMS runs on a separate meter that needs its own budget and consent plan.
• Pricing the decision at today's list instead of an eighteen-month projection. Bands step with size — the step you did not model arrives mid-campaign.
• Running SaaS trial and dunning logic through shopper-shaped contacts. Custom events can bridge it, but you own the bridge forever — read the SaaS boundary section above first.
• Treating the single tier as "all features therefore all channels." Every feature unlocks at $39; multichannel delivery still bills per channel.
• Skipping the built-in split tests the product ships with. Teams that never run them pay platform depth prices for single-variant sending — the cheapest ROI left on the table.
• Letting list growth campaigns race ahead of sunset policy. On a list-size axis, unengaged records are not free passengers; pair every growth push with a cleanup cadence.

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