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Case Study · Research Program · Lifeway Christian Resources · 2025

The Lifeway Customer Research System

11 behavioral personas grounded in analytics, usability research, and journey mapping — built to inform product, marketing, and sales.

11Personas built
8Behavioral archetypes
33+Tiered recommendations
3Teams served
01 — The Problem

No shared user language. No behavioral data tied to segments. No framework teams could align around.

Lifeway serves a diverse faith-based customer base — pastors, ministry leaders, Sunday School teachers, volunteers, church administrators — each with distinct goals, behaviors, and barriers to purchase.

Product, marketing, and sales teams were all making decisions about this audience without a shared, research-grounded understanding of who the customers actually were or how they behaved.

The research question: who are Lifeway's customers, and how do they discover, evaluate, and purchase?

02 — Research Foundation

Not assumptions-based personas. Every segment grounded in observed behavioral data, triangulated with qualitative research.

Pillar 01

Behavioral Analytics

On-site clickstream data, search term analysis, filter usage patterns, funnel analysis, and conversion pathway characteristics — broken down per segment.

Search behavior · Filter combos · Conversion paths · Session patterns

Pillar 02

Usability Research

Moderated and unmoderated studies revealing how customers evaluate products, navigate the site, and make purchase decisions across each segment.

Comprehension · Navigation · Decision friction · Cart behavior

Pillar 03

Journey Mapping

Full 7-stage journey maps per persona — from need recognition through post-purchase — identifying friction points and opportunities at each stage.

Need → Entry → Search → Evaluate → Cart → Checkout → Post-purchase

03 — The System

11 personas. 8 behavioral archetypes. One shared language.

Each persona maps to a behavioral archetype — a cross-cutting pattern describing how that segment discovers and selects products. The archetypes surface what multiple personas share.

Adult Ministry Leader
Efficient Searcher
Church Administrator
Strategic Influencer
Discipleship Group Leader
Efficient Supporter
Kids Ministry Leader
Efficient Searcher
Men's Ministry Leader
Overwhelmed Browser
Pastor
Relational Minimalist
Students Ministry Leader
Overwhelmed Relational
Sunday School Teacher
Efficient Searcher
Volunteer (Non-Staff)
Exploring Search
Women's Ministry Leader
Organized Browser
Worship Ministry Leader
Strategic Influencer
04 — Anatomy of a Persona

Each of the 11 personas was built to the same standard — a complete research artifact, not a slide template.

Behavioral Archetype

A named behavioral pattern classifying how this segment discovers and selects products — cross-referenced across all 11 personas.

Demographics + Ministry Profile

Age, education, region, profession, primary ministry focus, top product need, confidence level, discovery channel preference.

Motivations, Triggers & Barriers

Why they buy, what prompts a purchase cycle, what stops them from completing it — grounded in research, not assumptions.

Customer Journey Map

Full 7-stage journey (Need → Entry → Search → Evaluate → Cart → Checkout → Post-Purchase) with stage-specific friction points per persona.

Behavioral + Search Data

Observed on-site search terms, filter usage patterns, repeat search behavior, conversion pathway characteristics from analytics.

Tri-Directional Recommendations

Tiered UX opportunities (High / Medium / Quick Win), Marketing recommendations, and Sales recommendations — one set per persona.

05 — Cross-Cutting Insights

What the data said across all 11.

Search is universal

The search bar was the #1 discovery channel across all 11 personas — even for segments expected to browse. On-site search is the product's most important interface.

Doctrinal alignment is non-negotiable

Across every segment, confirming doctrinal fit was the most important pre-purchase step. When this signal was absent or unclear, users stalled or exited.

"What's included" is a universal blocker

Every persona listed unclear inclusions as a top shopping pain point. What's in the kit, who it's for, and what format it comes in must be answered before users commit.

Pricing clarity blocks checkout — not price

Unclear whether pricing was per-person, per-kit, or digital versus print caused hesitation even when users were ready to buy.

06 — Tri-Directional Output

Most persona systems produce UX recommendations. This one produced three sets per persona.

One set for product and design. One for marketing. One for sales. Each addresses how that team should act on what the research found about this segment.

Product & Design

UX Opportunities

  • HIGH: Standardize "What's Included" on product detail pages
  • MEDIUM: Clarify doctrinal-fit cues on product pages
  • QUICK WIN: Add above-the-fold "At a Glance" block — summary, audience, duration, sample link

Example: Pastor persona

Marketing

Marketing Recs

  • Lead with sample-first messaging to reduce evaluation friction
  • Build search-aligned landing pages matching top observed search terms
  • Merchandise Sunday School resources to match search and recommendation discovery patterns

Example: Pastor persona

Sales

Sales Recommendations

  • Reinforce trust signals: clear summaries, author cues, doctrinal alignment, transparent pricing
  • Use preview-forward assets to support faster commitment decisions

Example: Pastor persona

07 — Impact

What this system enabled.

11
Personas built
8
Behavioral archetypes
3
Teams served
33+
Tiered recommendations

Organization-wide adoption

Shared with and used by product, UX, marketing, and sales teams — not siloed within the research function.

A shared user language

Teams across the organization gained a common vocabulary for talking about customers — grounded in research rather than assumption or instinct.

A living research asset

Designed to be updated as new research accumulates — not treated as a one-time deliverable that ages out of use.

08 — Reflection

What worked. What I'd change.

What worked well

  • Grounding every persona in observed behavioral data — not demographic assumptions
  • Triangulating quant (analytics) with qual (research) rather than relying on either alone
  • Building tri-directional output so the system reached product, marketing, and sales simultaneously
  • Using behavioral archetypes to surface patterns across segments, not just describe each one in isolation
  • Designing to a consistent template so the system scales when new segments are added

What I'd do differently

  • Involve cross-functional stakeholders earlier in defining what success looks like for the system — not just in consuming it
  • Build a lightweight validation process for each persona before finalizing — share drafts with internal experts who work closely with these segments
  • Create a formal update cadence from the start. A research system that isn't maintained loses credibility.
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