The e-commerce CRM where Shopify orders, Klaviyo flows, and Gorgias tickets land on the same customer.
DTC brands run Shopify for orders, Klaviyo for email, Gorgias or Zendesk for support, and three Google Sheets for the VIP cohort. Nobody sees the customer whole. Strkr ships ecommerce CRM with native Shopify sync, LTV and order signals, cart recovery flows, support thread merge, and VIP segmentation on one record.
Four DTC founders walked me through their Monday revenue meetings last month and every one of them described the same shape: Shopify Admin for order data, Klaviyo for email and SMS, Gorgias or Zendesk for support, Loop or Returnly for returns, Rebuy or ReCharge for subscriptions, and a Google Sheet called "VIP cohort Q4" that one marketing manager keeps updated by exporting Shopify monthly. The customer-view surface is spread across six tools and nobody can answer basic questions like "what is the LTV of the cohort that bought during the November 15 flash sale" without a RevOps request that takes four days. The ecommerce category of CRM has been owned by Klaviyo CDP, Shopify Audiences, Rebuy, and the long tail of specialty "DTC CRM" tools that each solve one slice. The founder who wants a single customer record with order, support, email engagement, and loyalty on one view does not have one.
Klaviyo is not a CRM
Email tool pretending to be a customer system.
Klaviyo CDP is strong at email and SMS flows and does the job it was built for. The customer-view surface (full order history, support thread history, retention cohort, VIP tier, LTV by acquisition source, product affinity) sits as a list-filter engine with limited drilling. DTC brands that outgrew list-based thinking need actual CRM primitives: records, pipelines, tasks, timeline. Strkr ships those natively while integrating with Klaviyo for the flows.
Shopify Admin is thin on CRM
Order history yes, customer intelligence no.
Shopify Admin shows orders by customer and that is the useful part. The customer summary is thin on cohort analysis, LTV calculation that factors returns and refunds, support-ticket count, email engagement, and VIP segmentation. Shopify Audiences adds a layer but the drilling surface is still shallow. Strkr pulls Shopify order data, applies the LTV math with return and refund netting, and surfaces the customer-whole view on one record.
Support context lost in Gorgias
Three tickets, one angry customer, nobody sees it.
A high-value customer opens three support tickets in a week about a late order, a return question, and a sizing issue. Gorgias or Zendesk treats each as a thread. The marketing manager running a win-back flow sends them a 15 percent discount email on day three while the customer is already escalating. Strkr threads support history onto the customer record and surfaces ticket-count alerts to the marketing surface, so the win-back flow suppresses correctly.
VIP cohort lives in a Google Sheet
The top 5 percent of customers are a spreadsheet.
Most DTC brands have a VIP cohort of 2 to 7 percent of customers who drive 25 to 45 percent of annual revenue, and the cohort list lives in a Google Sheet maintained by one marketing manager who exports Shopify monthly. The founder who wants to send a hand-written thank-you note at Q4 cannot easily cross-reference the cohort against open support issues. Strkr segments the VIP cohort automatically from LTV, order frequency, and recency, with the full customer context on each record.
Subscription + one-time mix is messy
ReCharge subs and Shopify one-time orders split.
Brands running subscription (ReCharge, Loop Subscriptions, Shopify Subscriptions native) alongside one-time Shopify orders split the customer record across two systems. The retention team optimizes subscription churn in ReCharge; the acquisition team optimizes CAC in Shopify. The customer who downgraded their subscription and bought one-time in the same month looks like two different signals. Strkr merges the two on one record with the subscription state visible alongside the one-time order history.
Cohort LTV analysis takes four days
Monday asks Friday for the November-cohort LTV.
The founder asks on Monday morning for the LTV of the cohort that bought during a sale, and the analytics person pulls Shopify, Klaviyo, and Gorgias exports and spends until Thursday building the pivot. The brand that can run cohort analysis in minutes outruns the brand that runs it in days. Strkr ships cohort LTV as a native segmentation surface with the data pre-joined across sources, so the Monday question gets a Monday afternoon answer.
What an ecommerce CRM actually needs
The surfaces that let a DTC team run the customer whole.
Three brand patterns recur during evaluation calls: the growth-stage single-brand DTC at 2 to 20 million dollars annual GMV, the multi-brand holding company running 3 to 8 Shopify stores, and the specialty subscription brand (CPG, beauty, apparel) running ReCharge or Shopify Subscriptions. The cards below cover the surfaces these archetypes rely on, which the incumbent tool set does not deliver cleanly.
Customer record with native Shopify sync
Full order history, returns, refunds, tagged.
Strkr pulls Shopify orders through the native integration (REST and webhook) and the customer record carries full order history, returns, refunds, discount codes applied, acquisition source where UTMs allow, and product affinity. The sync runs on webhook with a nightly reconcile, so the record is fresh within minutes of a Shopify event. Multi-store brands can map several Shopify stores to one Strkr tenant.
LTV with return and refund netting
Net LTV, not gross orders summed.
Strkr calculates LTV as net of returns and refunds, with the full math transparent on the customer record. The customer who ordered 1,200 dollars and returned 400 shows a net 800 LTV, which is the number the brand should optimize against. Shopify Admin reports gross-order totals; most "LTV" numbers in DTC tools quietly include returned orders. The net math changes campaign optimization decisions.
Support thread merge
Gorgias and Zendesk tickets on the customer.
Strkr pulls support tickets from Gorgias, Zendesk, Freshdesk, and the Shopify Inbox through the open API and threads them onto the customer record. The marketing manager running a win-back flow can suppress customers with an open ticket count above a threshold. The founder reviewing a VIP sees the support history inline. The thread merge runs on webhook so the surface is live.
Cart abandonment and recovery flows
Native flows with Klaviyo-grade capability.
Strkr runs cart abandonment and browse-abandon flows natively with branching logic by customer segment, inventory state, and discount gating. The flows can integrate with Klaviyo for brands wanting to keep Klaviyo as the sender of record, or run as the primary sender for brands consolidating. Multi-channel flows that run email through Resend, SMS through Strkr Messaging, and in-app push where the mobile app supports it all live on the same flow canvas.
VIP and cohort segmentation
Automatic VIP tier from LTV and recency.
The VIP cohort auto-segments from net LTV, order frequency, and recency with configurable rules per brand. The founder opens the VIP list and sees names, support history, open tickets, next-order-expected date, and discount-code history. The Q4 hand-written thank-you campaign filters by VIP and runs through a mail-merge export or a Strkr Messaging flow, and the resulting campaign actually targets the right customers.
Subscription state alongside one-time orders
ReCharge, Loop, Shopify Subscriptions merged.
The subscription state (active, paused, cancelled, downgraded) lives on the customer record alongside one-time order history. Brands running ReCharge, Loop Subscriptions, or Shopify Subscriptions native integrate through the open API and the merged view surfaces churn risk, upgrade candidates, and cross-sell opportunities on one record. The retention team and the acquisition team look at the same customer.
Cohort LTV in minutes
Native cohort analysis on the segmentation surface.
Strkr segmentation supports cohort LTV by acquisition month, sale event, acquisition source, discount code, and product affinity. The Monday "what did the November cohort look like" question gets a Monday afternoon answer because the data is pre-joined across Shopify, support, and email engagement. The analyst person stops being a report factory and starts actually analyzing.
Strkr AI drafts the win-back note
Personal outreach to lapsed VIPs, drafted from the record.
Strkr AI reads the customer record (full order history, product affinity, last-order date, support history) and drafts a personal win-back email that references the products the customer bought. The marketing manager edits in place and sends. Each draft notes the records referenced. For a VIP cohort of 300 lapsed customers, the campaign runs in a day of editing instead of a week of writing or a boilerplate blast.
Strkr Messaging for SMS flows
SMS and MMS at tier-one carrier rates.
Strkr Messaging covers SMS and MMS via tier-one US carriers starting from twenty-nine dollars monthly plus per-send cost, which is 30 to 40 percent cheaper than running SMS through Klaviyo or Attentive at scale. The flows integrate with the same canvas as email, so SMS and email can coordinate on the same flow with suppression rules shared. Brands running SMS-heavy motions find the economics shift noticeably once volume crosses roughly 25,000 messages a month.
How Strkr compares with ecommerce CRM incumbents
Side by side with Klaviyo CDP and the Shopify-native options.
Klaviyo CDP, Shopify Audiences, Rebuy, and the long tail of DTC CRMs (Postscript for SMS, Attentive, Yotpo CRM) are the common comparators. Each solves one slice. The grid below is on the full customer-view and segmentation surface where the brand pays for depth.
Customer record depth
Full timeline across order, support, email, SMS.
Strkr ships a customer record with the full timeline across every surface the brand touches: orders, returns, support, email, SMS, subscription state, in-app events where the mobile SDK is integrated. Klaviyo CDP ships a profile with limited drilling into support context. Shopify Audiences ships segments but a thin customer view. The brand wanting a single pane for the VIP review gets it from Strkr.
LTV math
Net LTV with return and refund netting.
Strkr calculates LTV net of returns and refunds and surfaces the math transparently. Klaviyo CDP calculates predicted LTV through its model, which is useful but not the same number. Shopify Admin reports gross orders. The brand that optimizes against the right LTV number makes better campaign decisions.
Flow builder
Multi-channel flow canvas.
Strkr runs flows as a canvas with email, SMS, in-app push, and task triggers on one surface. Klaviyo is the strongest incumbent on email and SMS flow building; brands often keep Klaviyo for the flow sender role and use Strkr for CRM, with the two integrated. Brands wanting to consolidate run flows directly in Strkr with Resend for email delivery and Strkr Messaging for SMS.
Pricing posture
Flat per seat versus profile-count or send-count metered.
Strkr charges flat per-seat with modules bundled across each paid tier. Klaviyo prices by active profile count and the bill compounds as the audience grows. Attentive and Postscript price by SMS send count. A brand at 400,000 profiles sending 150,000 SMS a month typically sees 25 to 50 percent lower all-in annual cost on Strkr even including a Klaviyo bill kept for email delivery.
Subscription state merge
ReCharge, Loop, Shopify Subscriptions native.
Strkr merges subscription state onto the customer record from ReCharge, Loop, Shopify Subscriptions, and the long tail of subscription platforms. Klaviyo CDP has subscription profile integration but the drilling surface is weaker. Brands running mixed subscription and one-time motions find the merged view essential for retention-plus-acquisition coordination.
Open API with free tier
REST plus webhooks, documented, extendable.
Strkr serves a documented REST plus webhook API bringing carrying a native connector set into Shopify, Shopify Plus, BigCommerce, WooCommerce, Klaviyo, Attentive, Postscript, Gorgias, Zendesk, Freshdesk, ReCharge, Loop, Yotpo, Judge.me, and the major 3PLs. Brands needing a specialty connector can be either built from scratch or request native coverage through the roadmap.
Where Strkr fits in the ecommerce stack
Honest limits and what Strkr integrates with.
The DTC tech stack has settled around five or six categories (storefront, email and SMS, support, subscriptions, reviews, 3PL). Strkr sits across the CRM, segmentation, and flow surface. The list below is honest about what Strkr replaces outright, what it integrates with, and where the specialty vendor stays because the specialty vendor is better.
Not a storefront
Shopify, Shopify Plus, BigCommerce stay.
Strkr does not replace Shopify, Shopify Plus, BigCommerce, WooCommerce, or Magento. The storefront, checkout, catalog, discount engine, and tax calculation stay in place. Strkr pulls order data through the integration and runs the customer-view, segmentation, and flow surface on top. Multi-store brands can map several storefronts to one Strkr tenant.
Not a review platform
Yotpo, Judge.me, Okendo stay.
Review collection and display stay in the specialty tool (Yotpo, Judge.me, Okendo, Stamped, Loox). Strkr pulls review signal onto the customer record for context but does not run the review display widget or the collection workflow. Brands running review-driven acquisition get the review-count and sentiment signal in segmentation without replacing the specialty tool.
Not a 3PL or fulfillment engine
ShipBob, Flexport, DHL stay.
Order fulfillment, warehouse management, and shipping label generation stay with the specialty tool (ShipBob, ShipHero, Flexport, DHL, native Shopify fulfillment). Strkr tracks fulfillment status on the order record and surfaces delayed-order flags on the customer surface, but the fulfillment workflow itself lives in the 3PL system.
Not a return platform
Loop Returns, Returnly, Happy Returns stay.
Returns and exchanges run through Loop Returns, Returnly, Happy Returns, or the Shopify-native return flow. Strkr pulls return data into the customer record for the LTV math and the support context, but the return workflow (RMA generation, label printing, inventory restock) lives in the specialty tool. Brands running return-heavy categories (apparel, footwear) rely on the integration quality.
Not an email sender of record for most brands
Klaviyo stays for most of the market.
For brands with mature Klaviyo flow builds, the common pattern is to keep Klaviyo as the sender of record and use Strkr for CRM depth, segmentation, and support thread merge. Strkr integrates with Klaviyo for bidirectional list sync. For brands consolidating or starting fresh, Strkr can run flows directly through Resend for email delivery and Strkr Messaging for SMS, which is the typical pattern for brands below 150,000 profiles.
SOC 2 Type II in progress
Compliance posture for enterprise retail partners.
Strkr's SOC 2 Type II controls are audited under an active third-party cycle. Brands running wholesale into enterprise retail partners (Target, Nordstrom, Costco) who require vendor-security reviews find the compliance answers in the admin Trust tab. HIPAA BAAs are available for brands in regulated verticals (vitamin and supplement DTC that touches HIPAA-adjacent data).
Head-to-head
Strkr vs Klaviyo CDP for the ecommerce customer view.
Klaviyo CDP is the single most-asked-about ecommerce CRM on buyer calls. The grid below is on the customer-view and segmentation surface specifically, which is where the switching math lands for brands outgrowing list-based thinking.
Feature
Strkr
Klaviyo CDP (Growth or Pro tier)
Pricing basis
Flat per seat, modules included on every paid tier
Active profile count metered with SMS send volume
Customer record depth
Full timeline across order, support, email, SMS, subscription
Email-centric profile with limited support context
LTV calculation
Net of returns and refunds, transparent math
Predicted LTV model, less transparent
Support thread merge
Gorgias and Zendesk native on customer record
Via integration, limited drilling
Flow builder
Multi-channel canvas with task triggers
Strong email and SMS canvas, no task surface
Subscription state merge
ReCharge, Loop, Shopify Subscriptions native
Via integration, varies by partner
Cohort LTV analysis
Native segmentation with pre-joined data
Segment Reports, limited custom cohorts
AI drafting
Strkr AI included on every paid tier
Via subject-line and content assist, limited drafting
Native SMS
Strkr Messaging at tier-one carrier rates
SMS available, send-count metered
Open API
REST plus webhooks, documented, free tier
API available, usage-tier dependent
How teams use Strkr
How DTC brands run Strkr day to day.
The common thread on brands that choose Strkr: they want the customer-whole view across order, support, email, and subscription on one record instead of six. Each playbook that follows represents a live motion inside a brand account.
Single-brand DTC, 6M annual GMV
Win-back campaign on lapsed VIPs lifts quarterly revenue 8 percent.
A single-brand DTC apparel company at 6 million annual GMV identified 420 lapsed VIP customers (90-plus days since last order, lifetime net LTV over 500 dollars). Strkr AI drafted a personal win-back email for each referencing specific past purchases. The marketing manager edited in a day of work instead of writing from scratch. The campaign drove 29 reactivation orders worth roughly 42,000 dollars net, which lifted quarterly revenue by 8 percent against the prior year baseline and paid for the switch in cycle one.
Multi-brand holding co, 4 Shopify stores
Cross-brand VIP identification exposes a hidden cohort worth 320K.
A multi-brand holding company running four Shopify stores in adjacent categories (beauty, haircare, skincare, wellness) found through Strkr segmentation that 180 customers had purchased across three or more brands. The cohort's annual value was roughly 320,000 dollars, and nobody had identified them because each brand ran its own Klaviyo instance. A cross-brand loyalty campaign added 60,000 dollars of incremental purchases in the first quarter and shaped a holding-co loyalty program for the following year.
Subscription CPG brand, 11K active subs
Churn risk alerts cut cancellation rate by 18 percent.
A subscription CPG brand with 11,000 active ReCharge subscribers moved subscription state onto the Strkr customer record. The churn-risk model surfaced customers with declining engagement (reduced reorder frequency, support ticket spike, failed payment retry) 30 days before likely cancellation. The retention team ran a targeted intervention flow (personal check-in SMS, discount offer, size adjustment outreach) on the flagged cohort. Cancellation rate dropped by 18 percent over two quarters, which was worth roughly 180,000 dollars of retained annual contract value.
DTC footwear brand, 14K annual orders
Support thread merge suppresses win-back emails to angry customers.
A DTC footwear brand ran Klaviyo win-back flows that occasionally sent 15 percent discount emails to customers in the middle of return disputes. The brand audit found 7 percent of win-back sends landed on open-ticket customers in a bad month. After merging Gorgias tickets onto the Strkr customer record and adding an open-ticket-count suppression rule to the win-back flow, the suppression hit 0.3 percent and customer-satisfaction scores on the subsequent CSAT survey climbed 11 points.
Give the brand one customer record across order, support, email, and subscription.
Start a 14-day trial with the Shopify sync, LTV math, VIP cohort auto-segmentation, support thread merge, and flow canvas preconfigured in a sandbox tenant workspace. Keep Klaviyo or consolidate.
Partially, and the right answer depends on the brand's stack. For the customer-view, segmentation, support thread merge, subscription state, and VIP tiering surfaces, Strkr is deeper than Klaviyo CDP and replaces it. For the email and SMS flow sender role, Klaviyo is excellent and many brands keep Klaviyo as the sender of record while using Strkr for CRM depth. Brands below 150,000 active profiles starting fresh often consolidate on Strkr with Resend for email delivery and Strkr Messaging for SMS, which runs cheaper per profile at that scale. Brands above 400,000 profiles usually keep both and integrate.
Does Strkr integrate natively with Shopify and Shopify Plus?
Yes. The Shopify integration is a native connector that pulls orders, customers, products, returns, refunds, discount codes, abandoned carts, and inventory signal through the REST and webhook API. Shopify Plus brands running multi-store setups can map several storefronts to one Strkr tenant, which is the common pattern for holding companies. The sync runs on webhook with a nightly reconcile, so the customer record is fresh within minutes of a Shopify event. BigCommerce and WooCommerce integrations run on the same connector framework.
How does Strkr handle subscription state from ReCharge or Loop?
ReCharge, Loop Subscriptions, Shopify Subscriptions native, Smartrr, and Awtomic subscriptions all integrate through the open API. The subscription state (active, paused, cancelled, downgraded, upgraded) lives on the customer record alongside one-time Shopify order history. The retention team can see subscription-plus-one-time together, which is essential for churn-risk modeling and cross-sell. Multi-subscription customers (meal kit plus supplement subscription for the same person) merge on email or customer-ID match.
Can Strkr suppress marketing sends to customers with open support tickets?
Yes. The support thread merge from Gorgias, Zendesk, Freshdesk, or Shopify Inbox lands on the customer record with ticket count, open-ticket count, and severity signal. Flows and campaigns can filter on open-ticket count above a threshold or ticket age over a certain number of days, which is the surface that lets a brand suppress win-back emails to customers in active disputes. The suppression rule applies at flow-send time, so late-stage ticket opens still catch the suppression.
What does the SMS economics look like against Attentive or Postscript at scale?
Strkr Messaging runs over tier-one carriers at a 29 dollar base per month plus per-message markup (roughly 2 cents SMS, 5 cents MMS on US domestic). Attentive and Postscript price by send volume with tier pricing that compounds, typically landing 30 to 40 percent higher per message at mid-volume scale. For a brand sending 150,000 SMS a month, the all-in annual difference is usually several thousand dollars, enough to offset most of the Strkr seat cost on its own. The flow-canvas quality and the deliverability are competitive at tier-one carrier grade.
What does switching from Klaviyo look like for a brand at 300K profiles?
The typical switch runs between six and ten weeks from kickoff through the full cutover. Weeks one and two handle data migration (customers, orders, email engagement history, flow definitions) through the Strkr import API, which handles Klaviyo-shaped exports. Weeks three and four cover flow mirror-build with the brand reproducing existing Klaviyo flows on the Strkr canvas. Weeks five through six run a parallel-send pilot on a cohort to verify deliverability. Weeks seven through ten handle the full cutover with Klaviyo running in warm-down mode for 60 days of safety. Brands that want to keep Klaviyo for the sender role integrate instead of replacing, which is a faster motion.
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