Built for direct-to-consumer brands

The CRM that treats a customer like a relationship, not a one-time order.

A DTC brand lives on customer lifetime value, repeat purchase cadence, subscription retention, and the kind of lifecycle messaging that turns a one-time buyer into a loyal customer. Strkr ships a CRM shaped around DTC lifecycle work with Shopify integration and Strkr AI drafted campaign copy in the brand voice.

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What this audience is actually dealing with

The pains that bring buyers here.

A DTC brand founder or growth operator runs acquisition, retention, support, and operations in parallel. The CRM has to tie the ecommerce platform to the customer relationship without a reconciliation project. The pain points below are what Strkr hears on every DTC intake call.

Customer data lives in Shopify

The CRM is a shadow of the ecommerce truth.

A DTC brand running Shopify has customer records, order history, and subscription data in Shopify. Most CRMs pull a stale snapshot nightly. Strkr integrates with Shopify through the official API with real-time webhook sync for customer, order, product, and subscription events. The CRM record stays current to the second.

Repeat purchase cadence is invisible

Who is due for a reorder in the next 30 days.

A DTC brand with a 60-day repeat purchase cadence cannot see who is due for a reorder in the next 30 days without a custom report. Strkr tracks repeat purchase cadence per customer per product category with projected reorder date, which drives the lifecycle campaign cadence and the subscription save flow.

Subscription churn is reactive

Finding out at cancellation instead of before.

A subscription brand with 24 percent monthly churn needs to catch at-risk subscribers before they cancel. Most CRMs see the cancellation after the fact. Strkr watches signal patterns (shipping skips, support tickets, engagement drops, payment failures) and flags at-risk subscribers 30 to 60 days before likely cancellation with a recommended save play.

Lifecycle messaging burns the ops team

Eighteen lifecycle flows that break on every schema change.

A DTC brand runs 18 to 24 lifecycle flows (welcome, abandoned cart, post-purchase, replenishment reminder, review request, win-back, VIP, birthday). The flows break every time the Shopify schema changes. Strkr flow builder exposes workflows as declarative DAGs with built-in schema change detection and a visual repair surface. Workflow maintenance drops from four hours per week to under an hour.

Support context lives in Gorgias

The support history that the CRM does not see.

A DTC brand runs support in Gorgias, Zendesk, Front, or Help Scout. The CRM usually does not see the support history. A customer who has filed four tickets this quarter shows up as a happy customer in the CRM when they are not. Strkr pulls support ticket volume, severity, and resolution events through the webhook spec with HMAC signing. The support signal feeds the customer health score and the lifecycle messaging logic.

VIP segmentation is a vibe

The top 10 percent of customers that drive 42 percent of revenue.

A DTC brand knows that the top 10 percent of customers drive 40 to 55 percent of revenue. The CRM usually does not identify them in real time. Strkr computes customer tier (VIP, loyal, repeat, one-time, at-risk) from lifetime value, repeat purchase count, recency, and engagement. The tier drives segmented campaign targeting, VIP-specific perks, and support priority.

The DTC schema

Objects shaped like DTC work.

The default CRM schema does not map to DTC work. Strkr ships a tunable DTC schema with Customer, Order, Subscription, Product, Lifecycle Campaign, and Review as first-class objects.

Customer object

LTV, repeat count, tier, cadence, risk flag.

A customer in Strkr carries lifetime value, repeat purchase count, customer tier (VIP, loyal, repeat, one-time, at-risk), repeat purchase cadence per product category, next projected reorder date, and risk flag state. The schema drives the lifecycle campaign targeting and the VIP priority treatment.

Order object

Line items, discount, UTM source, shipping status.

An order ties to the customer with line items, discount applied, UTM source attribution, shipping status, delivery timeline, and payment status. The order object feeds the LTV calculation, the repeat purchase cadence tracking, and the fulfillment status visibility.

Subscription object

Plan, frequency, skip history, cancel reason.

A subscription ties to the customer with plan type, delivery frequency, skip history, pause history, cancel reason (when applicable), and renewal date. The schema drives the subscription save flow, the churn risk detection, and the subscription analytics view.

Product object

Category, repeat cadence baseline, LTV contribution.

A product in Strkr pulls from Shopify with category, repeat cadence baseline (consumable with 45-day repeat, durable with 180-day repeat), LTV contribution per customer segment, and current inventory level. The product object drives the replenishment reminder cadence and the cross-sell logic.

Lifecycle campaign object

Trigger, segment, timing, Strkr AI copy variants.

A lifecycle campaign ties to a trigger (welcome, abandoned cart, post-purchase, replenishment, review request, win-back, VIP, birthday), the target segment, the timing cadence, and the Strkr AI copy variants per segment. The campaign runs on the flow builder with automatic performance tracking.

Review object

Rating, verified purchase, response status.

A review ties to the customer and the product with rating, review text, verified purchase status, and brand response status. The review object drives the post-purchase review request campaign, the brand response workflow (critical reviews route to the brand response team), and the social proof surface.

Strkr AI jobs for DTC

The AI drafts that fit DTC lifecycle work.

Strkr AI runs the first draft on repetitive DTC write motions in the brand voice. The marketing operator reviews and sends. Across DTC deployments the time saved averages six to nine hours per week per operator.

Welcome series draft

The three-email welcome in the brand voice.

Strkr AI drafts the welcome series (email 1 at hour 1, email 2 at day 3, email 3 at day 7) in the brand voice learned from the first 20 approved emails. The operator reviews and tunes two sentences per email. The welcome open rate on Strkr AI drafted copy sits in the 42 to 58 percent range for inbound DTC subscribers.

Replenishment reminder

The nudge at 90 percent of cadence.

For consumable products Strkr AI drafts the replenishment reminder at 90 percent of the typical repeat cadence (day 40 for a 45-day product) referencing the product and the warm practice voice. Response rates on the replenishment reminder sit in the 24 to 38 percent range, which translates to meaningful incremental revenue.

Subscription save

The intervention copy for an at-risk subscriber.

When a subscriber hits the at-risk flag Strkr AI drafts the save intervention referencing the signal (shipping skips, engagement drop, support tickets) with a offer (pause option, product swap, discount). The copy lands with 32 to 48 percent save rates across the DTC deployment cohort.

Review request

The post-purchase ask at the right moment.

Strkr AI drafts the review request at the right moment per product category (day 10 for consumables, day 21 for durables) with product-specific framing. The copy drives review submission rates of 11 to 24 percent across the DTC cohort versus 4 to 8 percent benchmark for generic review requests.

VIP recognition

The handwritten-feeling note for the loyal customer.

When a customer crosses into the VIP tier Strkr AI drafts a recognition message that feels handwritten rather than templated. The copy references the product purchase pattern and includes a VIP-specific perk (early access, free shipping, limited product allocation). The recognition drives measurable retention and word-of-mouth.

Win-back campaign

The 90-day lapsed customer outreach.

For customers who have not purchased in 90 days Strkr AI drafts the win-back outreach with product-category-specific framing, a discount, and a scarcity element where appropriate. The win-back open rate on Strkr AI drafted copy sits in the 24 to 42 percent range, which drives meaningful reactivation revenue.

How Strkr handles the DTC operations view

The home screen a growth operator opens on Monday.

A DTC growth operator home screen does not need a sales pipeline board. The operator needs customer segment distribution, lifecycle campaign performance, subscription churn signals, and the week-over-week retention metrics.

Customer tier distribution

VIP, loyal, repeat, one-time, at-risk counts.

The top of the home screen shows customer tier distribution with week-over-week trend. A declining VIP count or a growing at-risk cohort surfaces as a signal the operator can act on with targeted retention plays or VIP recognition campaigns.

Lifecycle campaign performance

Active campaigns with open, click, conversion.

The lifecycle campaign performance panel shows every active campaign with send volume, open rate, click rate, conversion rate, and revenue attributed. A campaign underperforming its benchmark gets flagged for the operator to tune.

Subscription churn signals

At-risk subscribers with recommended save play.

The subscription churn signals panel shows subscribers flagged at-risk with the signal pattern (shipping skips, engagement drop, support tickets) and the Strkr AI drafted save intervention. The operator can batch-review and send the saves in a Monday morning working session.

Repeat purchase projection

Customers due for reorder in the next 30 days.

The repeat purchase projection panel shows customers due for a reorder in the next 30 days with the product and the recommended replenishment reminder timing. The operator can prioritize campaign spend on the product categories with the highest reorder projection.

Review submission rate

Post-purchase review requests versus submissions.

The review submission rate panel shows review request sends, review submissions, and the net sentiment score with trend. A declining review submission rate or declining sentiment surfaces as a signal that may indicate a product quality issue or a fulfillment issue.

Weekly retention summary

Repeat rate, cohort LTV, churn rate.

Each Friday Strkr runs a weekly retention summary covering the repeat purchase rate, the cohort LTV trend, the subscription churn rate, and the win-back reactivation rate. The operator leaves the week with a clean handoff to Monday and a shared language for the growth team review.

Head-to-head

Strkr vs Klaviyo plus a separate CRM.

Most DTC brands run Klaviyo for email and SMS lifecycle, plus a separate CRM for customer records. The comparison below is Strkr with the lifecycle work consolidated versus the two-tool stack.

Feature Strkr Klaviyo plus separate CRM
Shopify integration Real-time webhook sync. Native integration.
Customer tier calculation First-class with VIP, loyal, repeat, at-risk. Custom segment build.
Lifecycle campaign builder Visual DAG with 140-plus actions. Visual flow builder.
Strkr AI drafted copy In brand voice from day one. AI content assistant with gating.
Subscription churn detection Automatic with save intervention. Custom segment build.
Repeat purchase projection Per product category. Manual segment.
Support ticket signal integration Through webhook spec. Separate integration.
Pricing posture $59 per seat flat on Pro. Contact tier plus seats.
SMS and MMS 2 cents per segment, 5 cents MMS. Separate SMS add-on.
How teams use Strkr

Five DTC playbooks that ship on Strkr.

The playbooks below are what Strkr onboarding sees across DTC deployments.

Pattern A

The subscription box brand with 24 percent monthly churn.

A subscription box brand running at 24 percent monthly churn needed earlier detection on at-risk subscribers. Strkr onboarding ran a 18-business-day migration configuring the subscription object with signal weight tuning (shipping skips, engagement drop, support tickets, payment failures). The at-risk flag fired 30 to 60 days before likely cancellation. Save campaigns landed with 42 percent save rates. Monthly churn dropped to 16 percent inside two quarters.

Pattern B

The consumable DTC brand with 45-day repeat cadence.

A consumable DTC brand (coffee, skincare, supplements) running a 45-day repeat cadence had replenishment reminders landing at day 60 (too late). Strkr onboarding configured per-product repeat cadence tracking with reminders firing at 90 percent of cadence (day 40). Replenishment reminder response rates climbed from 11 percent to 28 percent. Revenue from the replenishment cadence grew $420,000 inside the first full year.

Pattern C

The durable DTC brand with cross-sell focus.

A durable DTC brand (home goods, personal electronics) with a 180-day repeat cadence focused on cross-sell rather than replenishment. Strkr onboarding configured the cross-sell logic based on product category combinations observed in the VIP cohort. Cross-sell email campaigns targeting the product combinations landed with 24 percent conversion versus 8 percent on generic campaigns.

Pattern D

The 42-SKU apparel brand with VIP program.

A 42-SKU apparel DTC brand ran a VIP program with manual tier assignment that lagged behind the actual customer behavior. Strkr onboarding configured automated tier calculation with real-time VIP recognition triggered on tier crossing. The handwritten-feeling VIP recognition messages drove measurable word-of-mouth with a 32 percent increase in referral traffic from VIP customers inside two quarters.

Pattern E

The health supplement DTC brand with HIPAA considerations.

A health supplement DTC brand sold products that intersected with medical conditions. Some customer communication required HIPAA consideration. Strkr onboarding ran the deployment on the business plan with the HIPAA BAA on request. The AI retrieval scope ran scoped to exclude medical condition fields from patient-facing drafts. The brand ran the full DTC lifecycle work with the HIPAA perimeter intact.

Run your DTC brand on a CRM shaped for customer lifetime value.

Book a 30 minute call. We will walk through the DTC schema, the Shopify integration, and the lifecycle campaign flow with your actual customer count and your actual product category mix.

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Common questions

What buyers in this bucket ask most.

How does Strkr integrate with Shopify for order and customer sync?

Strkr integrates with Shopify through the official API with OAuth authentication and real-time webhook sync. The integration pulls customer records, orders, products, inventory, subscriptions, and discount usage. The webhook sync keeps the Strkr record current to the second rather than running on a nightly snapshot. For Shopify Plus the integration includes the extended object graph (customer segments, metafields, draft orders). The integration lands in under 20 minutes during onboarding.

Can Strkr replace Klaviyo for DTC lifecycle email and SMS campaigns?

Yes for teams running up to 100,000 contacts and standard DTC lifecycle flows (welcome, abandoned cart, post-purchase, replenishment reminder, review request, win-back, VIP, birthday). Strkr flow builder covers 140-plus action types across CRUD, email, Strkr Messaging SMS and MMS, Slack, Teams, webhooks, waits, and branches. The learning curve on Strkr flow builder is typically four to six hours for a marketer coming off Klaviyo. For teams with specialized Klaviyo capabilities (advanced predictive analytics, specific Klaviyo native integrations) the migration should evaluate feature-by-feature with the Strkr onboarding team.

How does Strkr handle subscription churn detection and save intervention?

Strkr watches signal patterns per subscriber (shipping skips, engagement drops on email and SMS, support ticket volume, payment failures) and flags at-risk subscribers 30 to 60 days before likely cancellation. Each at-risk flag gets Strkr AI drafted save intervention copy referencing the signal pattern with a offer (pause option, product swap, discount, loyalty tier promotion). The save campaign lands with 32 to 48 percent save rates across the DTC deployment cohort versus 8 to 14 percent on reactive save-at-cancellation flows.

What does Strkr Messaging cost for a DTC brand running SMS campaigns?

Strkr Messaging prices SMS at 2 cents per segment and MMS at 5 cents per message. A typical DTC brand with 40,000 contacts sending four SMS campaigns per month at 60 percent send rate runs about $1,920 per month in messaging spend ($0.02 x 96,000 messages). The messaging platform includes A2P 10DLC brand and campaign registration, toll-free verification, STOP and HELP keyword enforcement, and per-contact consent tracking. For high-volume DTC SMS workflows the per-segment pricing beats the per-user flat pricing from Klaviyo SMS at scale.

How does Strkr calculate customer tier and lifetime value?

Customer tier aggregates from lifetime value, repeat purchase count, recency, and engagement score with configurable weights per segment. The default thresholds place the top 10 percent of customers by LTV in the VIP tier, the next 20 percent in the loyal tier, repeat purchasers in the repeat tier, first-time buyers in the one-time tier, and customers past the inactivity threshold in the at-risk tier. Lifetime value calculates from the full order history including taxes, shipping, and discounts applied, with Strkr pulling the data from Shopify in real time.

Does Strkr handle Shopify Plus features like metafields and extended segments?

Yes. Strkr integration with Shopify Plus pulls the extended object graph including metafields on customers, products, and orders. The Shopify Plus customer segments sync to Strkr as segment memberships. Draft orders sync as pending opportunity records. For teams running headless Shopify or custom Shopify Plus storefronts the webhook spec with HMAC signing lets the engineering team wire custom events into Strkr beyond the native integration coverage.

What compliance posture does Strkr ship for DTC brands handling customer data?

Strkr is HIPAA compliant with a BAA available on request (relevant for health supplement DTC brands and brands with medical adjacency), GDPR and CCPA compliant today for consumer data handling, and SOC 2 Type II is in progress with a target of 2026-Q4. The audit log captures every record read, record write, email send, document access, and AI call with 90-day default retention tunable per tenant. For DTC brands subject to CCPA deletion requests the structured right-to-be-forgotten cascade runs in under 72 hours with full audit trail.

Also built for

Related audiences.

Ecommerce CRM Shopify CRM Subscription CRM Retail CRM Consumer Brands Small Business

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