Built for luxury retail and high-touch client relationships
The CRM that remembers the preference, drafts the outreach, and keeps the relationship warm.
Clienteling is a personal-outreach-driven motion that lives on preference tracking, timing, and the human touch. Strkr ships a CRM shaped around client preferences, personal outreach cadences, VIP service, and the in-store plus digital touch mix that luxury retail actually runs on.
Clienteling is where retail becomes a profession. A sales associate who maintains 180 to 400 personal client relationships and drives 60 to 85 percent of their quota through those relationships has different needs from a transactional retail associate. The pain points below are what Strkr's onboarding team hears from luxury retail, jewelry, high-end hospitality, and premium automotive dealerships running clienteling as the primary sales motion.
The preference book that lives in one head
The top associate remembers 220 clients and the next 40 do not.
A top-performing clienteling associate maintains 220 to 400 personal client relationships with preference knowledge (size, color, brand, occasion, budget range, spouse name, kids, pet, important dates). When that associate leaves the brand the knowledge walks out the door. Strkr's preference schema captures the knowledge in structured fields that persist beyond any one associate's tenure.
The outreach that never happens
Fifty text messages waiting at the end of a double shift.
A clienteling associate who worked a 10-hour shift ends the night with 50 personal outreach touches on the mental list that will never happen because they are tired and the mental list is too much. Strkr AI drafts the outreach in the associate voice from the client preferences, recent in-store activity, and the upcoming occasion. The 50 touches collapse to 10 minutes of review and send.
In-store plus digital touch mix
The client walks in and the associate has no context.
A client walks into the store having received three personalized emails from the brand and placed a $340 online order last week. The associate greets them with no awareness of any of it. The in-store moment feels disconnected. Strkr's client card unifies the in-store history, the digital activity, and the recent purchases on one surface the associate opens at the greeting.
VIP service tiers
The top 50 clients need different handling.
A luxury brand serves top-tier clients (annual spend over $50,000) with concierge-level service that differs materially from the mid-tier and entry-tier experience. Strkr's tier model drives tier-specific outreach cadences, template libraries, event invitations, and the escalation path when a VIP client has an issue.
Multi-location associate assignment
The client shopped three stores last year.
In multi-location luxury retail a top client shops multiple locations within the brand. Each location associate has partial context. The brand gets a fragmented view. Strkr's unified contact model gives every associate the full brand-level view of the client with configurable location-level privacy for sensitive preferences.
The post-purchase moment
The follow-up that defines the next visit.
A high-end purchase (a watch, a handbag, a jacket) deserves a personalized follow-up. Most brands send a generic thank-you template. Strkr AI drafts a personalized follow-up grounded in the purchase, the associate relationship, and the client preferences. The post-purchase moment becomes the start of the next relationship chapter instead of a transactional close-out.
The clienteling schema
Objects shaped like luxury retail relationships.
Strkr ships a tunable clienteling schema with Client, Preference, Outreach, Visit, Purchase, Occasion, and Associate as first-class objects. The brand can rename or extend anything. The default lands close to where most luxury retailers end up after two months of tuning.
Client object
Preferences, tier, lifetime spend, important dates.
A client in Strkr carries preferences (size, color, brand, style, occasion, budget range), tier (VIP, Growth, Standard), lifetime spend, important dates (birthday, anniversary, spouse birthday, major holidays observed), and the primary associate relationship. The schema drives the correct outreach cadence and tier-specific service.
Preference object
The granular detail that matters.
Preferences capture the granular detail (specific brands, specific colors avoided, specific fabric sensitivities, specific size nuances between brands). The associate updates preferences from in-store conversation and from purchase pattern analysis. The preferences drive the AI outreach drafting and the in-store suggestion engine.
Outreach object
Personal touch cadence per client.
Outreach records capture every personal touch (text, email, personal call, handwritten note) with timing, channel, and response. The cadence varies by tier and by associate approach. The outreach history prevents the triple-text problem (three associates texting the same client in the same week).
Visit object
In-store appointments and walk-ins.
A visit captures the in-store moment (appointment or walk-in) with items shown, items tried, items purchased or not, conversation notes, and follow-up actions. The associate logs the visit before the client leaves (or Strkr AI drafts the summary from quick voice notes). The next visit opens with the full context.
Purchase object
The transaction with story.
A purchase ties to the client, the visit, and the associate with items purchased, occasion (self-purchase, gift, special occasion), and the story around it (anniversary gift for spouse, birthday for daughter). The story field feeds the AI outreach drafting for the follow-up and the next occasion reminder.
Occasion object
The dates that drive outreach.
Occasion records capture important dates (client birthday, anniversary, spouse birthday, major holidays). Strkr fires outreach reminders at the right lead time (two weeks before an anniversary, one week before a birthday) with Strkr AI drafting the personalized message. The client feels remembered without the associate carrying 400 dates in their head.
Associate object
Book of clients, specializations, VIP coverage.
An associate in Strkr carries their book of clients with primary and secondary assignments, specialization tags (gift expert, menswear specialist, high jewelry trained), VIP tier coverage, and performance tier. The brand sees associate performance across clienteling activity and purchase attribution.
How Strkr AI drafts for a clienteling associate
The AI jobs that fit luxury retail outreach.
Strkr AI drafts in a professional, warm, brand-appropriate tone that fits luxury retail personal outreach. The jobs below are what shows up in every clienteling deployment inside the first three weeks.
Occasion outreach
The birthday, the anniversary, the holiday.
Strkr AI drafts the occasion outreach grounded in the client preferences and the occasion. The anniversary message references the spouse name. The birthday message references the client's preferred style. The associate reviews, personalizes, and sends. 400 occasion touches a year become possible.
New arrival match
The piece this client would love.
When new product arrives Strkr AI reviews the preference match across the associate's book and drafts personalized outreach to the clients who match best. The associate reviews, approves, and sends. The brand's inventory moves faster because the right piece reaches the right client with context.
Post-purchase follow-up
The thank-you that matters.
After a high-value purchase Strkr AI drafts the personalized thank-you grounded in the item, the occasion, and the associate relationship. The follow-up reads as a brand touch instead of a generic template. The next visit happens sooner because the relationship stayed warm.
Appointment confirmation
The pre-visit prep.
Before an in-store appointment Strkr AI drafts the confirmation message with the appointment time, suggested items based on preferences, and any pre-visit prep (styling questions, measurements needed). The appointment lands with the client arriving prepared.
Lapsed client re-engagement
The six-month-gone client.
For clients who have not visited or purchased in six months Strkr AI drafts a re-engagement touch grounded in the client's preferences, the recent in-store activity around their favorites, and the associate relationship history. The lapsed client gets a reason to come back that is personal, not promotional.
Event invitation
The private trunk show or VIP event.
For VIP events (trunk shows, store events, designer visits) Strkr AI drafts personalized invitations to the right tier of clients with the appeal for each. The invitation references why this specific client would want to attend. Event attendance rate climbs because the invitations are relevant.
The in-store moment
The surface the associate opens at the greeting.
The in-store moment is where clienteling converts to purchase. Strkr's client card is designed to open on the first greeting and give the associate everything they need to serve the client well. The cards below are what the client card surfaces at the greeting.
Full preference view
Size, color, brand, style on one screen.
The client card shows the full preference set at the top of the view (size nuances per brand, color preferences, style archetypes, fabric sensitivities). The associate opens the greeting with context instead of asking the client to restate preferences they have told the brand before.
Recent history
Last visit, last purchase, last conversation.
The recent history strip shows the last visit (date, items shown, items purchased, conversation notes), the last digital activity (email open, website browse, social engagement), and the last associate conversation. The greeting continues the relationship instead of starting over.
Upcoming occasions
What the client might shop for.
The upcoming occasions strip shows important dates in the next 90 days (anniversary coming up, spouse birthday next month, holiday approaching) with suggested gift ideas grounded in the client's past gift purchases and the recipient preferences if known.
Suggested items
New arrivals matched to preferences.
The suggested items strip shows new arrivals matched to the client's preferences with notes on why each piece fits. The associate walks the client to the right pieces instead of browsing. Conversion rate on in-store visits climbs because the match quality improves.
VIP service flags
The handling notes for VIP clients.
For VIP clients the service flags surface the handling preferences (preferred champagne, preferred fitting room, preferred associate when primary is unavailable, prefers no sales tax exposure in conversation). The VIP moment feels effortless because the preferences are visible without the client restating them.
Associate relationship context
The personal touches to remember.
The relationship context strip shows the personal touches the associate has built with this client (previous conversation topics, kids' names and interests, pet, favorite restaurants if shared, upcoming travel if mentioned). The associate greets the client as a known relationship instead of a transaction.
Multi-location brand operations
Running clienteling at brand scale.
Luxury brands running 20 to 400 locations face a different clienteling challenge than a single-location boutique. The challenge is unified context without surveillance, store-level autonomy with brand-level standards. The cards below show how Strkr fits brand-scale clienteling operations.
Unified contact across locations
The brand sees the full client.
A client who shops multiple locations within the brand has one unified contact record. Every associate in the brand sees the full context (location-level privacy configurable for sensitive notes). The brand captures lifetime spend across locations and feeds the tier and VIP flags.
Primary associate assignment
The relationship ownership stays clear.
Each client has a primary associate assignment (the associate with the deepest relationship). Secondary associate assignments cover vacation, cross-store shopping, and specialization needs. The primary associate retains the relationship when the client shops a different store. Commission attribution handles the splits.
Store manager cockpit
Store-level clienteling health.
The store manager sees store-level clienteling health (associate outreach volume, outreach quality, VIP coverage, conversion from touch to purchase). The manager coaches associates on the touches that drive revenue. The brand sees store-level patterns in the roll-up.
Brand-level outreach governance
Template library and brand voice.
The brand team maintains the template library for outreach (occasion messages, new arrival notes, event invitations) with brand voice guidelines. Associates personalize from the templates. The brand voice stays consistent across associates while allowing personal touches.
Event coordination
Trunk shows, store events, VIP experiences.
For brand-wide events (trunk shows, designer visits, VIP experiences) Strkr coordinates invitation lists across stores, tracks attendance, and captures the event outcome (purchases attributed, new relationships started, VIP tier upgrades). The event ROI stops being a guess.
Associate performance
Clienteling attribution to purchase.
The associate performance view shows clienteling activity (outreach volume, outreach quality) tied to purchase attribution. Top performers surface clearly. The brand sees which associates are driving relationship-based revenue versus transactional revenue. The compensation design grounds in data.
Head-to-head
Strkr vs legacy clienteling tools.
Most luxury brands run a clienteling tool (Tulip, Endear, Mercaux, NewStore clienteling, Salesfloor) layered on top of their retail stack. The comparison below is Strkr's posture against legacy clienteling tools specifically.
Feature
Strkr
Legacy clienteling tool
Preference schema with granular detail
Native with configurable fields.
Varies by tool, often basic.
AI outreach drafting in brand voice
Native, trained on first 20 approved sends.
Template library only.
Unified in-store plus digital context
Native on client card.
In-store only typical.
Occasion-based outreach triggers
Native with AI drafting.
Date-based reminder typical.
Multi-location unified contact
Native with configurable location privacy.
Varies by tool.
Associate performance attribution
Clienteling activity tied to purchase.
Partial, varies.
Event coordination with ROI tracking
Native with invitation list management.
Partial, often add-on.
Pricing basis
Flat per seat.
Per-location plus per-user typical.
Open API integration surface
REST plus GraphQL plus webhooks.
Closed platform typical.
POS and e-commerce integration
API-first with webhook spec.
Varies by vendor.
How teams use Strkr
Five clienteling playbooks.
The playbooks below are patterns Strkr's onboarding team sees on clienteling deployments across luxury fashion, high jewelry, premium hospitality, and premium automotive.
Pattern A
The single-location luxury boutique.
A single-location luxury boutique in Beverly Hills served 1,800 clients with eight associates. Preference knowledge lived in each associate's head. When a top associate left in 2025 the brand lost roughly $240,000 in annualized revenue to the departing associate. Strkr onboarding ran an 11-business-day migration. The preference schema captured the knowledge in structured fields. Associate turnover stopped carrying revenue loss because the knowledge persisted beyond any one associate.
Pattern B
The 32-location mid-size luxury brand.
A 32-location mid-size luxury brand ran clienteling on a legacy tool (Tulip) with limited AI drafting. Associate outreach volume was 40 percent of target. Strkr onboarding ran a 28-business-day migration. The AI outreach drafting lifted outreach volume to 110 percent of target in the first quarter. Attributed clienteling revenue climbed 22 percent year-over-year.
Pattern C
The high jewelry brand with VIP concentration.
A high jewelry brand with 11 locations served a VIP-concentrated book (top 180 clients drove 72 percent of revenue). The VIP service experience was inconsistent across locations. Strkr onboarding configured VIP service flags, tier-specific outreach cadences, and brand-wide VIP coverage with primary and secondary associate assignments. VIP client retention improved from 94 to 98 percent.
Pattern D
The premium automotive dealership group.
A premium automotive dealership group (14 locations across three brands) ran clienteling on a mix of DMS tools and manual spreadsheets. The service appointment and purchase conversion flow was fragmented. Strkr onboarding configured the automotive-specific schema (vehicle current, lease expiration, service history, driver preferences) and the sales-to-service handoff workflow. Repeat purchase rate climbed from 42 to 54 percent.
Pattern E
The luxury hospitality property.
A luxury hospitality property (independent 180-room resort) ran clienteling for repeat guests with preference tracking across stays. The property management system (PMS) captured bookings but not the human preferences. Strkr onboarding configured preference tracking (room preference, amenity preferences, dining preferences, spa preferences) with the PMS integration pulling booking data. Repeat guest rate climbed from 31 to 44 percent in a year.
Run clienteling on a CRM shaped for the relationship motion.
Book a 30 minute call. We will walk through the preference schema, the AI outreach drafting, the in-store client card, and the multi-location governance with your actual brand footprint.
Does Strkr integrate with POS systems like Shopify POS, Lightspeed, NewStore, or Aptos?
Strkr integrates with every major luxury retail POS through its REST and GraphQL API plus outbound webhooks with HMAC signing. For Shopify POS the integration pulls transaction data, customer records, and inventory. For Lightspeed the integration covers transaction, inventory, and customer flow. For NewStore the integration covers unified commerce events. For Aptos the integration covers enterprise retail flow. The POS data feeds the client card automatically. For a 32-location brand the integration surface typically takes an engineering sprint of two to three weeks.
How does Strkr handle associate turnover and knowledge preservation?
Strkr's preference schema captures the client knowledge in structured fields (size, color, brand, style, occasion, important dates, relationship notes) that persist beyond any one associate's tenure. When an associate leaves the brand the primary assignment transfers to the next associate with full preference and relationship history intact. The departing associate's touch history remains in the audit log. The brand stops losing revenue to associate turnover because the knowledge no longer walks out the door.
Can Strkr handle multi-location unified clienteling with privacy controls?
Yes. Strkr's unified contact model lets a client who shops multiple locations within the brand have one record visible to every associate across the brand. Location-level privacy is configurable for sensitive preferences (preferred associate, confidential notes, VIP service flags that should only surface at the primary store). The brand sees lifetime spend across locations for tier and VIP calculation. Each store sees the full view with configurable privacy on sensitive notes.
What does Strkr cost compared to Tulip, Endear, or Mercaux?
Strkr prices flat per seat: $29 per user per month on Starter, $59 on Pro, $119 on Scale, with a 14-day trial. The AI Enhancement module is a $49 per month add-on. Legacy clienteling tools typically price per location plus per user. Tulip runs $400 to $700 per month per location plus per-user charges. Endear runs $75 per user per month. Mercaux runs enterprise pricing in the $100,000 to $500,000 per year range for larger brands. Strkr's advantage is the flat seat pricing, the AI outreach drafting, and the breadth of CRM capability on one platform.
How does the AI outreach drafting work for luxury brand voice?
Strkr AI learns the brand voice from the first 20 outreach messages the associate team approves. The subsequent drafts match the brand voice (formal versus warm, concise versus expansive, specific brand terminology) while personalizing to each client. The brand team can configure voice guardrails (never use emoji, never discount in writing, specific phrases to avoid, specific phrases to use). The AI drafts in the right voice from the first send after onboarding.
Can Strkr handle the pre-launch and launch moment for new product releases?
Yes. For new product releases Strkr coordinates the pre-launch outreach (VIP preview invitations, waitlist capture, personalized teasers) through tier-specific template libraries. At launch Strkr fires the launch outreach to the right clients grounded in preference match. Post-launch Strkr tracks sell-through by client cohort and attribution to specific associate touches. The product release becomes a managed moment instead of a hope-and-pray.
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