Modern Friction product markBUILD

Modern Friction

Make customers choose you again.

How customers stick with you, in the AI era.

AI surfaces your brand once. What happens next decides whether the customer comes back. Customers leave because of friction nobody owns: support, billing, product, AI agents, renewal. Every silo measures its own piece. Modern Friction is designed to join every signal on the same customer record so the pattern that brings them back, and the pattern that drives them away, surface with the prescribed action.

Identify. Prescribe. Measure.

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Watch the demo. Modern Friction surfacing the patterns that drive customers away.

What Friction Covers

20
Friction categories in the v1 taxonomy (8 Tier 1 Core, 6 Tier 2 Enhanced, 6 Tier 3 v2 Roadmap)
Up to 6
Sources surfaced at Core tier; Enterprise scales to 15 sources (source count is the tier differentiator, not category count)
3
Lifetime value layers measured (historical cohort, forward estimation, prescriptive true-up)
1
FSI per Customer (Friction Score Index, moves quarter to quarter)

FSI is the Friction Score Index, a per-Customer composite that captures cumulative friction load and moves quarter to quarter as friction is removed. v1 taxonomy version 2026-04-13. Tier coverage (Tier 1 / Tier 2 / Tier 3) is independent of source count; Enterprise unlocks Tier 2 categories alongside the source scale.

The Customer Reality

Friction Decides Whether They Come Back

AI surfaces your brand once. The next 90 days decide whether the customer comes back. Customers do not file complaints when they hit friction. They quietly downgrade. They contact support once instead of escalating. They renew at 60 percent instead of 100 percent. They churn nine months later for reasons no dashboard surfaces.

Most companies measure Customer experience through surveys (sampled, biased, lagged) or aggregate NPS (one number, no diagnosis). Neither tells you which Customer hit which friction or what it cost.

Modern Friction is designed to operate at the Customer record level. At launch, every Customer in your base will be reported at the row level: each friction pattern experienced, correlated with the outcome that followed. Aggregated only when you ask for the rollup.

Capability Order

Identify, Prescribe, Measure

01

Identify

Modern Friction is designed to surface row-level findings of the form: N Customers at the row level had [friction experience], correlated with [outcome] in the measurement period. Example shape (illustrative): "4,200 Customers at the row level had repeat contact within seven days, correlated with 2.4x higher 90-day churn." For each Customer in the period, the report will name the friction patterns experienced, the sequence, and the outcome impact.

02

Prescribe

Every identified friction point will carry a specific prescribed action and a projected lifetime value impact. Example shape (illustrative): "Removing this friction is projected to lift LTV by $X across the 4,200 affected Customers, prioritized #1 of N actions." You will see what to fix first, why it matters in dollars, and the expected lift across the affected Customer cohort.

03

Measure

Designed to report the actual measured LTV improvement quarter over quarter, against the previous quarter's prescription, once an engagement reaches its second true-up cycle. Example shape (illustrative): "Of the 4,200 Customers at the row level affected by the prior-quarter prescription, the measured 90-day retention lift was Y%, against a forecasted Z%." The loop is built to close from diagnostic through to outcome on your own data, with your own Customers.

The Comparison

Where Modern Friction Sits in the Stack

Versus CX platforms (Qualtrics, Medallia)

CX platforms report aggregate signals: NPS dropped to X, contact volume spiked Y%. Modern Friction is designed to report at the row level: N Customers had [specific friction experience], correlated with [outcome] on your data. Cohort averages remain available; row-level findings are the default unit.

Versus Customer-success platforms (Gainsight, Totango)

Success platforms score health from one or two surfaces (usage, engagement). Modern Friction is designed to report findings of the form: N Customers at the row level had [friction pattern across Support, billing, product, AI agent, and renewal surfaces], correlated with [LTV or retention outcome]. The findings will join the surfaces every other tool keeps separate.

Versus survey and feedback tools (Medallia, SurveyMonkey)

Surveys sample a fraction of your Customers and lag the experience by weeks. Modern Friction is designed to operate on every Customer in your base, in the period the friction occurs, reporting findings of the form: N Customers at the row level had [experience], correlated with [outcome].

Versus a CDP plus CX-platform combination

CDPs unify Customer identity. CX platforms surface experience signals. Neither joins friction patterns to LTV outcomes at the row level. Modern Friction is designed as the joining layer: row-level findings of the form N Customers had [experience], correlated with [LTV outcome], prescriptive by design.

Modern Friction is one product in the Truth Layer of AI Systems from Modern AI. See also: Modern Discovery / Modern Gravity / Modern Foundation.

App View. Customer Record Enrichment

Modern Friction is designed to enrich the Customer record so the friction patterns and the LTV impact join on the same row. Sparse incoming fields become enriched outputs your team can act on: lifetime value, churn risk, engagement score, next best action, intent signals. Every enriched value carries a source and a confidence. Trusted, explainable, governable. Illustrative prototype below; live enrichment ships per engagement.

Illustrative before-and-after view of Customer record enrichment. Sparse input fields on the left, enriched output fields on the right with source attribution and confidence scores per field.

App View. Customer Lifetime Value

Modern Friction is designed to make Customer Lifetime Value the unit of measurement, not an annual report metric. Each prescription is scored by projected LTV lift; each quarter's true-up reports the measured outcome against the prior quarter's prescription. Illustrative prototype below; live dashboards ship per engagement.

Illustrative Customer Lifetime Value chart showing CAC recovery, initial value, renewal, expansion, and advocacy stages with breakdown panel and key value drivers (acquisition cost, retention rate, revenue per user, expansion rate, referral rate).

Deliverables

Outputs Your Team Can Act On

Friction ID Cards

Each card will document a finding of the form: N Customers at the row level had [friction pattern], correlated with [outcome] in the measurement period, sourced from [surface], with [recommended remediation]. Each card will be audit-traceable to the Customer records that produced it on your own data.

LTV Health Metrics

Three-layer LTV measurement designed for the v1 architecture. Historical cohort Real LTV will report actual past spend and churn. Forward LTV estimation will project future Customer behavior, explicitly labeled as estimation. Prescriptive action measurement is built to close the loop once an engagement reaches its second true-up cycle, comparing the forecasted lift from each prescription against the measured outcome on your data.

FSI Dashboard

Friction Score Index per Customer cohort. Designed to report the cumulative friction load per Customer over time, by source, by remediation status. Example shape (illustrative): "1,800 Customers at the row level moved from FSI band 4 to FSI band 2 after the prior-quarter prescription, correlated with a 12% lift in 90-day retention." Use it to prioritize which Customers to protect first.

Prioritized Roadmap

Quarterly delivery, designed as a ranked remediation list, owner-assigned, scoped by projected LTV impact. Every prescription will carry the receipt back to the Customer records that drove the ranking, in the form: N Customers at the row level had [friction], correlated with [outcome], prescribed action [X], projected lift [Y].

Source Coverage

Multi-Source by Design

Modern Friction is designed to operate across the surfaces where your Customers actually experience your product. At launch, Core will deliver up to 6 sources surfaced from your data environment. Enterprise will scale to 15 sources across multi-entity coverage. The chips below are examples of the surface types Friction is designed to read from across the v1 taxonomy; the actual six (or fifteen) pulled into your engagement is set by which sources your environment supports.

Customer SupportContact Centers (CCaaS)Product TelemetryBilling and PaymentsAI Agent InteractionsSelf-Service (Tier 3 v2 Roadmap)Onboarding (Tier 3 v2 Roadmap)Renewal Operations

The Eight Friction Domains

Where Your Customers Actually Lose Patience

Modern Friction maps eight v1 Core friction domains across every Customer record in your base. Each domain joins the signals every other tool keeps siloed, then ranks the prescription by projected LTV impact. The eight below are the v1 Core categories. Enterprise scope adds five Tier 2 categories plus multi-entity coverage.

Modern Friction domain map showing eight v1 Core friction domains arranged around the Modern Friction hub: Supply Chain and Fulfillment, Checkout and Payment, Contact and IVR, Contact Reason Intelligence, Returns and Cancellation, Product Quality, AI Agent and Chatbot, and Subscription and Renewal.

Read access only on every source. Your governance team approves the integration before any data flows. Findings come back with the audit trail attached.

Built for Industry

Where Friction Compounds Most

01

Retail and Apparel

Modern Friction is designed to join returns, contact reasons, and quality friction on the Customer record so the friction patterns suppressing repeat purchase will surface before the next-season buy lands.

02

Direct-to-Consumer

First-purchase delivery friction, WISMO contact patterns, return abandonment. Modern Friction is designed to report findings of the form: N Customers at the row level had [delivery or WISMO friction pattern], correlated with [LTV outcome], so the marketing spend pays back.

03

SaaS and Subscription

Modern Friction is designed to join onboarding friction, billing friction, AI-agent escalation friction, and renewal friction on the Customer record so the renewal report will stop being a surprise.

04

Marketplaces and Two-Sided Platforms

Modern Friction is designed to map friction on the buyer side and the seller side on the same Customer graph so the platform tax actually being paid will surface clearly.

05

Telecommunications and Utilities

Repeat-contact patterns, IVR dead ends, billing dispute clusters. Modern Friction is designed to surface findings of the form: N Customers at the row level had [contact or IVR pattern], correlated with [retention outcome], with the prescribed action that protects them.

06

Healthcare and Regulated Customer-Facing Services

Modern Friction is designed to deliver Customer-record-level intelligence inside the governance posture your compliance team already runs, with findings audit-traceable end to end at GA.

Target Buyer

Built for Customer-Owning Leaders

$50 million to $10 billion in annual revenue. Subscription, retail, DTC, marketplace, and any industry where Customer LTV drives the business. Companies outside this band can buy the product and self-select into Core pricing.

Chief Customer Officer / VP Customer Success Operations

Primary economic owner of friction outcomes. Modern Friction is designed to report the cost of friction at the Customer record level and tie it to retention and LTV outcomes on your data.

Economic Sponsor

The leader who defends the LTV number to the board. The quarterly true-up loop produces auditable LTV improvement attribution per remediation. Defensible to the board.

Chief Data and Analytics Officer / VP Data

Technical sponsor. Spec-driven integration with the existing data stack via certified data engineering partner. Read access only. Your governance, your audit trail.

The Proof Layer

Methodology, Compliance, Outcomes

Methodology, published.

The Friction methodology is versioned and published. Every metric (FSI, Customer LTV layering, prescriptive coverage) carries a definition and a version number. Read the methodology before you trust the number.

Compliance posture.

Read access only on every source. Your governance team approves the integration before any data flows. Audit trail is built into the deliverable from day one. Findings are reproducible against your records.

Engagement

Two Tiers. Published.

Core (published)

$10,000 per month subscription, plus a one-time data engineering setup paid directly to the certified data engineering partner ($30K Simple, $50K Medium, $75K Complex).

Live pipeline results delivered continuously. Quarterly LTV and intelligence updates. Up to 6 sources surfaced from your data environment, with coverage across the 8 Tier 1 v1 Core friction categories. Source count is the tier differentiator, not category count.

  • 1 year. $10,000 per month. $120,000 per year.
  • 2 years. $9,000 per month (10 percent discount). $216,000 total.
  • 3 years. $8,000 per month (20 percent discount). $288,000 total.

Enterprise (talk to us)

Data engineering setup priced by the certified partner. Subscription above $10,000 per month. Up to 15 sources. Full Tier 1 (8 categories) plus Tier 2 (6 additional categories). Multi-entity and custom surfaces as scoped. Same 1, 2, and 3-year term discount structure.

Source count, not category count. Core delivers up to 6 sources. Enterprise scales up to 15 sources.

Term commitment, monthly billing reference. 30-day notice to cancel. Remaining term still due without cause. Termination for cause provisions per contract.

Questions We Get

FAQ

Get Started

Diagnose Friction in Your Customer Base

We run a Friction scoping conversation before any engagement. You bring the surfaces in scope. We map them to friction categories, scope the data engineering setup with the certified partner, and quote in writing. One conversation. Get on a 30-minute call. We will show you what your Customers are really experiencing.

Modern AI platform. Discovery (live). Gravity (GA). Friction (build). Foundation (live).