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Scaling High-Intent Dental SaaS Leads

dau partnered with Practice by Numbers (PbN) to design and execute a precision-led paid media strategy focused on generating high-intent dental practice leads while maintaining strict cost efficiency. The approach combined search intent capture with remarketing and performance optimisation to drive scalable SaaS growth.

Project Overview

About The Brand

Practice by Numbers (PbN) is an all-in-one dental intelligence platform designed to help dental practices grow through advanced analytics, automation, revenue tracking, and improved patient engagement systems.

Campaign Objective

Generate high-quality dental practice leads while maintaining a cost per lead (CPL) under $350 and ensuring sustained lead flow across branded, competitor, and industry search categories.

Campaigns Executed

01.

Google Search Campaigns (branded, competitor, and industry intent keywords)

02.

Display & Remarketing Campaigns

03.

Segment-Based Messaging Strategy

04.

Continuous Creative & Keyword Optimisation

The Advertising Environment

PbN operates in a competitive SaaS and healthcare technology market where:

01.

Competitor bidding drives fluctuating CPC benchmarks

02.

Dental practice owners require trust and proof-driven messaging

03.

Lead quality directly impacts sales conversion cycles

04.

Intent varies significantly between branded and industry searches

How dau Approached the Campaign

dau implemented a structured, intent-led acquisition strategy focused on segmentation, performance control, and scalable optimisation.
Key Strategic Elements Icon

Key Strategic Elements

  • 1Segmented campaign structuring across branded, competitor, and high-intent industry keywords
  • 2Messaging customised per search intent category
  • 3Integration of remarketing audiences to reinforce conversion pathways
  • 4Funnel-aligned strategy balancing acquisition and re-engagement
Execution & Optimisation Framework Icon

Execution & Optimisation Framework

  • 5Continuous A/B testing of ad copy, CTAs, and keyword groups
  • 6Budget redistribution based on CPL and conversion thresholds
  • 7Ongoing refinement of keyword match types and bidding controls
  • 8Performance monitoring to maintain efficiency while scaling impressions

Performance Outcomes

01.

4.9M+

Total Impressions

02.

47.93%

Average CTR

03.

$0.28

Average CPC

Why This Strategy Worked

01.

Intent-segmented campaigns improved message relevance

02.

Competitor targeting expanded qualified reach

03.

Remarketing reinforced conversion opportunities

04.

Performance discipline ensured cost control under target CPL

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