Objectives
Norwegian Log Buildings (NLB) designs, manufactures and installs bespoke cabins, annexes and garden rooms across UK. With a 40-year history, new ownership, and ambitious growth targets they asked us to overhaul their digital activity and help drive growth.
The cost-of-living crisis and increased competition created a challenging market for a product costing on average £60,000 - £100,000, but with a trend for home-working and multi-generational living there was potential for growth with the right digital approach.
- Increase volume of leads
- Improve organic rankings and traffic
- Increase organic social engagement
- Improve quality of leads
Our Approach
Analysis of the existing customer base helped us defined and understand the target market and understand the motivations for building extra accommodation on land they own. Relevant audiences may want extra accommodation for elderly parents or teenagers, or need extra space for home-working or leisure activities.
Existing paid search, Meta and organic search campaigns provided data insights into opportunities to expand activity in existing channels, and informed landing page testing to improve conversions and benefit SEO. Third party overlays were investigated and tested to see if they helped refine targeting.
Given the long lead time from enquiry to purchase, understanding lead quality was identified as an important feedback loop that needed improving to give additional insights to inform where campaign optimisations would be beneficial. The Client worked with us to follow up leads faster and provide information on how warm each lead was, so this information could be used in optimisations. Custom questions were introduced to the lead gen form in Meta to understand the warmth of each lead.
Paid Search
To increase reach, we expanded Google Ads and Microsoft Ads brand and generic campaigns.
- Generic terms were split into granular ad groups e.g. “log cabins”, “residential log cabins”, with Exact and Phrase match campaigns for each, and multiple headline and description options.
- Demand Gen campaigns were launched to increase reach, targeting:
- relevant In-Market audiences
- Affinity audiences
- Look-a-like audiences using 1st party customer data
- Re-targeting ads targeted site visitors who hadn’t completed a contact form.
- Performance Max was launched using best performing search themes, copy and video from Demand Gen and standard search. Ads in all platforms used similar creative assets, for consistency.
On-going testing and optimisation throughout the campaign improved the quality and volume of leads. Tests included:
- Maximum Clicks vs Maximum conversions bid strategy test
- Generic ads landing page test
- Performance Max campaign test
- Cost Per Click test
Meta
Devising strategies to reach our target audiences in Meta was challenging, but by combining interest targeting with age and demographic indicators, campaigns were successfully improved and expanded.
Age and geographic targeting was applied to:
- Target group “Land, Wealth and Cabins” to reach people with high intent for log cabins, summer houses or granny annexes
Geographic targeting applied to:
- A Look-a-like audience built using 1st party customer data
- Re-targeting group to reach website visitors that had not completed a contact form.
Tests included to optimise perfromance included:
- Video ad variants vs Lead Generation static image ads variants
- Look-a-Like and Re-targeting audiences shown Dynamic image ads variants.
- Re-targeting ad tests
- Landing page testing
- Lead Gen Form copy variants tested
- Visual imagery tests
- Copy tests
Programmatic Display Re-Targeting was introduced to extend reach beyond Meta and maximise conversions. A bespoke bidding strategy prioritised interactions from users in postcodes with more A/B social grade residents.
Organic Social
The organic content shared was diversified using insights from PPC and Meta campaigns to maximise engagement. Geographically targeted boosted posts were used tactically to increase reach, engage audiences and increase interactions and interest in the product. Posts featured case studies, events and FAQ’s.
Search Engine Optimisation (SEO)
Hotjar data was used to inform site architecture and landing page content changes designed to increase engagement and conversions, and improve organic rankings.
- Site content changes highlighted customer case studies to increase brand trust.
- Top level navigation changes were implemented to improve UX.
- Landing page testing: Non-indexable landing pages with differing imagery and copy were tested using Google Ads. The winning page was rolled out for organic traffic, delivering higher conversion rates and higher Organic rankings.
Results
Everything was tracked in Campaign Manager giving us insights in to how activities assisted conversions in other channels.
We delivered a larger volume of leads than target at a cost per lead 37% lower than target. Warm leads increased from 12% to 15% for PPC and from 6% to 23% for Meta.
Organic social delivered increases of 10% in Reach, 29% in Clicks, 41% in interactions.
Organic search achieved higher rankings, better quality traffic and delivered more conversions per session. Improved lead quality contributed to business exceeding annual revenue targets with increased average order value.
- Cost per lead 37% lower than target
- Number of leads generated = 159% of target
- Number of warm leads from PPC increased from 12% to 15%
- Number of warm leads from Meta increased from 6% to 23%
Edward Taylor, Chief Executive said:
““Working with Equimedia we’ve seen consistent incremental growth, with improvements culminating in the past year through data led, multi-channel, integrated B2C campaigns. We’ve been impressed with the focus on understanding lead quality and the use of detailed feedback from our sales team to fine tune the marketing strategy.”
Cost per Lead 37% lower than target
Number of leads 159% of target
Warm leads from meta increased to 23%
Interested in seeing what we can do for you? Get in touch and let us know about your requirements today.