Dreamall — premium home textiles brand

Case Study · Home Textiles · E-Commerce + Wholesale

From a standing start to an $18.7K wholesale order

Dreamall is a home-textiles supplier — pillows, blankets and mattress toppers — selling to retail shoppers and wholesale buyers. With no paid-advertising history, we launched a paid search campaign that brought 45 inquiries at about $15 per lead — one of which became a wholesale order from a major hotel chain that paid back the entire ad investment.

284,966 impressions served 4,377 clicks · 1.54% CTR 45 leads · ~$15 each
$0K
Wholesale order closed
0
Qualified leads
$0
Cost per lead
Client
Dreamall
Products
Pillows · Blankets · Mattress toppers
Model
DTC e-commerce + B2B wholesale
Period
2019 – 2020
Channel
Paid search
Audience
Retail shoppers + wholesale buyers
Starting point
No paid advertising history
Outcome
45 leads · hotel-chain wholesale order

01 — The Challenge

Quiet categories, average competition — and no paid presence to build on

Home textiles is a crowded niche with average traffic and competition, where shoppers compare a dozen near-identical listings before buying. Dreamall had genuinely under-served categories — pillows, blankets and mattress toppers — but no paid history, a longer-than-needed path from landing to inquiry, and no extended e-commerce or CRM tracking in place. The goal was simple: increase the volume of qualified inquiries and the share of on-target traffic.

No paid history — the account started from scratch
Average traffic and competition across the textiles niche
Too many steps from landing to a submitted inquiry
No extended e-commerce or CRM — limited visibility into what converts

The Work

What was set up to make a standing-start account perform

The brand had quiet, under-served categories — pillows, blankets and mattress toppers — and no paid history to build on. The campaign was built from the ground up: clean semantics, benefit-led ads, segmented audiences and proper measurement.

Quality semantic core

Search intent mapped and cleaned for the home-textiles niche.

Benefit-led ad copy

Ad relevance reworked with the emphasis on product advantages.

Audience targeting

Target audiences defined and segmented across search.

Analytics & goals

Web analytics and goal tracking, plus Google Tag Manager.

02 — The Strategy

One account — each campaign type doing exactly one job

Blanket spending across everything produces average results. Instead each part of the account had a specific role — from first awareness to submitted inquiry — so no budget was wasted on the wrong stage of the journey.

01

Search — capture intent

High-intent buyers already searching for pillows, blankets and mattress toppers were met on search at the exact moment of decision.

SearchIntent keywords
02

Display — build reach

Display placements pushed product visuals and benefits to buyers earlier in their research, around the search campaigns.

DisplayAudience targeting
03

Remarketing — bring them back

Visitors who engaged but didn't submit an inquiry were followed up with remarketing, shortening the path back to the form.

RemarketingReturn path

03 — Execution

Built to win buyers — and tracked to the order

Search
Display
Remarketing
Semantic core
Web analytics
Tag Manager

From first click to submitted inquiry — set up and measured

Home-textiles buyers research before committing, so the account was built to capture intent cleanly and measure the steps toward an inquiry — with analytics and goals in place from the start.

  • Quality semantic core built and cleaned for the niche
  • Ad relevance reworked with the emphasis on product advantages
  • Target audiences defined across search and display
  • Search, display and remarketing campaigns launched
  • Analytics, goals and Google Tag Manager configured
  • Ongoing optimisation plus on-site recommendations

04 — The Results

One campaign. 45 leads. One hotel-chain order that paid for it all.

$0
Paid advertising budget before engagement
$18.7K
Hotel-chain order — full ad spend recouped
Wholesale order ≈ $18,700 A major hotel chain — sourced through the paid campaign — whose single order paid back the full ad spend.
$0K
Wholesale order closed
A major hotel chain — ad spend fully recouped
0
Impressions delivered
Brand shown to an on-target audience
0
Clicks to site
1.54% CTR
0
Site inquiries
~$15 cost per lead

Site form inquiries only — phone-call conversions were not tracked, so the true number of leads is higher than 45.

05 — Why It Worked

Three decisions that made the difference

Clean semantics first

A carefully built and cleaned semantic core meant the budget reached people actually searching for pillows, blankets and toppers — not broad, wasteful traffic. That discipline is what kept the cost per lead at about $15 from a standing start.

Benefit-led, relevant ads

Ad copy was rebuilt around product advantages and matched tightly to intent. Higher relevance lifted the click-through rate to 1.54% and brought more on-target visitors into the quiet pillow, blanket and topper categories.

Measured, then improved

With web analytics and goals in place — plus on-site recommendations to shorten the path to an inquiry — the account could be optimised on data, and one of the 45 inquiries turned into a wholesale order from a major hotel chain that paid back the entire ad investment.

~$15 Cost per lead across 45 site inquiries
1.54% Click-through rate on 284,966 impressions
100% Ad spend recouped by a single hotel-chain order

Your store, next

Your next wholesale buyer is already searching

Every day without a structured paid campaign is another buyer landing on a competitor. Get a free, no-obligation audit of your paid search setup and find out exactly what it would take to build a lead engine like the one that brought Dreamall 45 inquiries and a hotel-chain wholesale order that paid back the entire ad spend.

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