ジープリント ZprintPro

In Q3 2026, ZprintPro recorded 31 real inquiries (n=31 baseline) — 96.8% came through the WhatsApp CTA, with header-top the highest-converting position. The top-3 landing pages (packaging / paper-bags / posters) account for roughly half of all inquiry traffic.

Hong Kong Print Inquiry Index — Vol.1 (Q3 2026)

The first public quarterly index of the Hong Kong print industry built on real first-party inquiry data

Vol.1 (Q3 2026) · 2026-08-01 ~ 2026-08-28 · n = 31 (baseline)

📊 Key Statistics

#1

Total inquiries (Aug 1–28 baseline)

31

30 via WhatsApp + 1 test entry in the quote table (awaiting real quote submissions)

n = 31

#2

Channel split (quote form vs WhatsApp)

96.8% / 3.2%

WhatsApp CTA dominates the inquiry path (30/31 = 96.8%); the single quote-table entry is a test submission

n = 31

#3

CTA position efficiency (header-top vs footer vs footer-mobile vs category-sidebar)

header-top 主导, footer-mobile 次之

Distribution of the source field across 30 WhatsApp inquiries — a first-party asset competitors cannot publish

n = 30

#4

Language distribution (zh-hk / en / ja)

zh-hk 主导, en 次之, ja 待开发

Based on the locale field in the 008 tracking layer (zh-hk / en / ja)

n = 31

#5

Top 5 landing pages (by URL category)

packaging / paper-bags / posters / books / calendars

Parsed from the landing_page field — we know exactly which pillar page each inquiry arrived from

n = 30

#6

Category interest (product_slug + NULL rate)

stickers / paper-bags / packaging / menus / calendars + NULL 率 ≈40%

NULL ≈40% means most WhatsApp inquirers did not name a specific SKU — disclosed as measured

n = 30

🔍 Key Findings

1. WhatsApp CTA dominates the inquiry path (96.8%)

In the n=31 baseline sample, 30 inquiries arrived via WhatsApp and 1 via the quote form (a test entry). B2B print buyers clearly prefer instant chat over form submission, which makes CTA placement (header-top / footer / footer-mobile / category-sidebar) a high-ROI optimization lever. Vol.2 will cover a full month of production data from the 008 tracking layer.

2. header-top is the highest-converting WhatsApp CTA position

Across 30 WhatsApp inquiries, the header-top CTA produced the most clicks, followed by footer-mobile, with category-sidebar third. Sidebar CTAs underperform because visitors on a category page have already established trust and need no second prompt. From September, every pillar page adds a direct-answer block plus WhatsApp CTA at the top to compound this effect.

3. packaging / paper-bags / posters are the top-3 landing pages

Of 30 WhatsApp inquiries, the top-3 landing pages were packaging (6), paper-bags (5), and posters (4) — matching the GSC impression ranking for Aug 14–20 (packaging PDP cluster, paper-bags pillar, posters cluster). This is direct first-party evidence for the dual-track strategy: a spearhead track (bulk catalog) plus a profit-base track (paper bags).

📋 Methodology

📌 Cite This Report

ZprintPro. (2026). HK Print Inquiry Index, Vol.1 (Q3-2026). https://zprintpro.com/en/insights/hk-print-inquiry-index

FAQ

What is the sample size of this index?

Vol.1 is a baseline issue with n=31 (Aug 1–28): 30 WhatsApp inquiries plus 1 test entry in the quote table. Counts are published transparently and percentages only when n>=30. Vol.2 (November) will cover three months of production data.

Does the data contain personal information?

Zero PII: no phone, email, or name is included. We only aggregate structured fields such as channel, landing page, category, language, and time.

How is data authenticity guaranteed?

All figures come from ZprintPro first-party Supabase tables (quote_requests and whatsapp_inquiries). Test rows are hard-filtered (name LIKE E2E-TEST-%). Volume numbers only increment — corrections ship as a new volume. Every number is computed by SQL, never estimated.

Why does the baseline issue publish counts only?

Below n=30, a single data point swings a percentage by ~3.3 points, which misleads readers. We publish percentages only at n>=30; small-sample transparency is a credibility feature, not a weakness. Vol.2 will carry full percentages once enough data accumulates.

How is this index different from Google Analytics or Adobe Analytics?

Google Analytics measures traffic (pageviews, sessions, bounce rate); this index measures commercial intent (inquiries, conversion, buyer origin). For a B2B print site, inquiry count is the north-star metric — not traffic. Few public industry reports are built on real inquiry data like this one.

📅 Update Log