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04 · Survey study · Max Diff analysis

FedEx

Conversion Catalysts preference study

Prospect preference research across five global regions

Status
Shipped.
Service
Quantitative behavioral research
Scope
Global prospect preference study
Method
Max Diff + TURF analysis
Studio
THEFT Studio

FedEx wanted to know which value propositions actually move prospective shippers to register for an account, and which were carrying the discount-led acquisition stack on inertia.

The studio ran a global Max Diff preference study across 508 prospects in five regions, balanced across personal and business segments, testing 30 USP buckets with TURF analysis to find the smallest message set that reaches the broadest audience.

The readout gives acquisition and product marketing a preference-backed basis to reframe the registration funnel away from discount-led copy and toward reliability, data security, and practical fit.

Method · effort by phase

01
02
03
04
05

01 · Scoping

Defined prospect segments, five regions, and the 30 USP buckets to test across the registration funnel.

02 · Instrument build

Designed a Max Diff instrument to isolate which USPs move prospects toward registration, controlling for region and segment.

03 · Fielding

Recruited and surveyed 508 prospects across five regions, balanced between 254 personal and 254 business shippers.

04 · Analysis

Max Diff analysis across feature count, utility, and preference share, with TURF on message combinations.

05 · Synthesis

Translated preference data into messaging recommendations for the registration funnel and acquisition channels beyond it.

What the work surfaced

01

Reliability is the single strongest conversion driver

On-time, reliable delivery ranked as the most preferred USP across every region and both segments, the one message that holds globally.

02

Data security is a top-tier acquisition cue, not a footer

Data security and privacy ranked in the top preference cluster alongside delivery performance; treating it as compliance language undersells its pull at registration.

03

Free account and competitive rates sit in the top cluster

Free account, competitive shipping rates, and fast delivery round out the top-five USPs, forming the practical-value core of the messaging stack.

04

Innovation-led and accessibility-only copy under-performs

Innovative framing and accessibility-only messaging ranked near the bottom of stated preference; neither works as a primary acquisition hook on its own.

05

Messaging should diversify beyond discount-led copy

Prospects convert on a blend of reliability, security, and practical fit, so discount-heavy creative leaves the strongest preference signals underused.

Delivered

  • USP preference ranking across 30 buckets
  • Max Diff output · feature count, utility, preference share
  • TURF message-combination analysis
  • Per-region and per-segment preference profiles
  • Messaging recommendations for the registration funnel
  • Readout deck for acquisition and product marketing teams

Outcome

Acquisition messaging reframed around reliability and security instead of discount-led copy.

The study gives acquisition and product marketing a preference-backed basis for rewriting registration-funnel messaging. Reliability and data security take their place at the top of the stack, with free account, competitive rates, and fast delivery as the practical-value core underneath.

Reframe
Discount-led to reliability-led
Evidence
Max Diff + TURF on N=508
Coverage
5 regions, 2 segments
Informs
Registration funnel, acquisition channels