Customer Journey & Growth Strategy
Mapping the lifecycle from first touch to retention — and the levers that actually move it.
One operating model for acquisition, conversion, retention.
Sustainable growth requires alignment across product, marketing, and customer insight. Thresh brings these functions together into a cohesive operating model that supports acquisition, conversion, and retention across the entire customer lifecycle.
Creative and growth — one team, one system.
Website & Inbound Optimization
Page architecture, narrative, and craft that compounds organic acquisition.
Experimentation & Conversion Optimization
Hypothesis-driven testing programs that ship more experiments, not more meetings.
Personalization & Lifecycle Activation
Behavior-informed messaging across email, in-product, and paid surfaces.
Customer Data Strategy (CDP / CRM Foundations)
Connected data plumbing so personalization and measurement actually work end-to-end.
Activation as an operating system.
Experiment Prioritization & Decision Support
Ranking tests by expected value — not just by who shouts loudest in the standup.
Personalization Informed by Product Behavior
Bringing product analytics and growth tooling onto the same source of truth.
Development Workflow Automation
Activation surfaces that ship at the speed of marketing — without compromising engineering quality.
Operational Efficiency in Activation
Compounding plays: every test, every campaign, every page becomes a reusable artifact.
Growth wired into your operating model.
Acquisition, conversion, and retention treated as one system — with the data, surfaces, and rituals to compound.
AI Commerce Strategy
A plan for how AI surfaces (ChatGPT, Google AI Mode, Perplexity) route customers to you, and what your brand needs to be inside the answer. The next decade of acquisition runs through this.
Growth Operating Model
Acquisition, conversion, lifecycle, and product activation aligned as one system with shared metrics and one prioritization queue. Replaces four duct-taped workstreams with one operating engine.
Brand & Narrative System
The story, the proof points, the visual language — built to scale across paid, owned, and earned. The thing that determines whether your brand exists inside an LLM answer at all.
Lifecycle Activation Engine
Behavior-informed messaging across email, in-product, and paid surfaces — connected to one customer model with proper measurement. Personalization that's actually measurable.
Questions executives ask before signing.
Direct answers to the questions that come up in nearly every first conversation. For anything else, email info@threshconsulting.com.
What is AI Commerce Strategy and how is it different from SEO?
AI Commerce Strategy is the discipline of being visible, and correctly described, inside AI-mediated discovery surfaces (ChatGPT, Perplexity, Google AI Mode, Claude). SEO optimizes for ranking inside a results page; AEO optimizes for being cited inside a synthesized answer. The mechanics, the measurement, and the durable assets are different. For most retail and commerce brands, AI surface visibility is now a material share of qualified inbound and growing fast.
How do you measure visibility inside an AI surface?
We instrument a polling layer that queries ChatGPT, Claude, Perplexity, and Google AI Mode weekly with a structured panel of target prompts, control prompts, and competitor-favorable prompts. We track mention frequency, position within the synthesized answer, sentiment, and competitive context, and we report the ratio over a rolling window to dampen the noise of single-week model behavior changes. This pattern is described in our Conversational AI Commerce case study.
Do you do paid acquisition?
We design and operate paid acquisition as part of integrated growth engagements where paid is one channel inside a shared customer model and prioritization queue. We do not run paid as a standalone service — the cost of operating paid in isolation from lifecycle, in-product, and content has gotten too high relative to the leverage from integration.
What does a Growth Operating Model engagement actually deliver?
A shared customer model (typically a CDP or warehouse-based identity layer), a shared lifecycle definition that all four functions (acquisition, content, lifecycle, in-product) operate against, and a shared prioritization queue where investments across all four are ranked together. Plus the political work of getting the four function leads aligned on shared accountability — which is harder than the technical work and is often the engagement's actual unlock.
What kinds of clients does this practice fit?
Series A through enterprise. The shape changes — at series A and B the work is usually building the operating model from scratch; at enterprise the work is usually consolidating four parallel workstreams that have grown apart. Both shapes are common. Common to both: leadership willing to commit to shared accountability for growth outcomes rather than defending function-specific budgets.
How quickly should we see results from AI commerce work?
AEO foundations take 60-90 days to materially move citation rates across the AI surfaces (the work compounds with content and earned-media investment over that window). Post-click conversion improvements from rebuilding landing pages for AI-arriving traffic typically show up within 2-4 weeks of launch. Brand and narrative positioning is a multi-quarter investment; the visibility lift compounds, but it does not appear in a four-week window.
Tell us what you're building. We'll show you what shipping looks like when strategy, design, and engineering move as one.