For solar & home battery companies
Turn location intelligence into lower acquisition costs, higher-quality leads and more sustainable business growth.
Request a Location Opportunity ReportBetter locations. Stronger opportunities.
The opportunity
A 20, 30, 40 or 50-mile service radius can contain very different markets. Some postcode areas may offer stronger potential for solar and battery installations than others. AdMapia helps you identify the difference, so you can focus your advertising where it matters most.
Learn how location prioritisation works
Example: opportunity map
Identify the areas with the greatest potential for your business.
Turn your data into a competitive advantage
AdMapia analyses your existing customers or leads, combines this with property and location intelligence, and finds other postcode areas with similar characteristics.
Different services. Different opportunities.
The best locations for solar, batteries, heat pumps and EV chargers may not be the same. AdMapia helps you create a location strategy for each service.
Test. Measure. Grow.
Compare your current targeting with an AdMapia-selected set of postcodes. Keep ads, bidding and budget as comparable as practical, and measure the difference.
Know where to expand next
Use data, not guesswork. Compare locations before expanding Google Ads coverage, entering a new town, opening a branch or increasing investment in a territory. Prioritise the opportunities worth exploring before committing significant budget.
Explore expansion opportunities
How it works
We analyse your customer, lead and advertising data.
We enrich it with property, postcode and location intelligence.
You receive clear location recommendations to test and act on.
Ready to unlock your best locations?
Give us your service area and existing data, and we’ll help identify the locations with the strongest potential for your business.
Request your Location Opportunity ReportA closer look at location intelligence
Geographic targeting is often much broader than keyword, audience or bidding optimisation. A campaign may cover an entire service radius even when the commercial opportunity varies considerably between neighbourhoods. Campaign averages can hide those differences.
AdMapia can analyse how spend, enquiries and available sales outcomes vary by location, then add postcode and property context. The aim is to identify where budget may deserve to be increased, reduced or tested. We distinguish a promising signal from a conclusion that needs more evidence: small samples, seasonality and changes in campaign activity all affect interpretation.
An opportunity map is a prioritisation tool, not a promise of savings. Recommendations should be tested against your current approach, with enough data to judge their effect on the outcomes that matter to your business.
Cheap leads are not always the best leads. A postcode that generates many low-cost forms may deliver fewer suitable appointments or completed installations than an area with a higher initial cost per enquiry.
If you supply qualified-lead, sales or CRM data, AdMapia can compare those outcomes geographically and investigate which locations are associated with stronger commercial results. Agreeing what counts as a qualified enquiry is an important first step, whether that is an eligible property, an attended survey or another stage in your sales process.
Where outcomes cannot yet be connected reliably to advertising, the starting point is a measurement plan. Better location decisions depend on understanding lead quality, rather than simply maximising the number of submissions.
Google Ads location performance can be combined with postcode and property intelligence to reveal geographic patterns hidden inside campaign averages. This adds context to the relationship between advertising spend and commercial results.
A practical review looks at cost per acquisition, conversion rate and lead quality together. Where sales values are available and attributable, return on ad spend can add a further view. Revenue-based ROAS is not the same as profit, so margins and installation capacity also matter when choosing where to invest.
Location recommendations complement your keyword, creative and bidding strategy. The objective is to make geographic budget decisions more informed and testable, with results assessed over an appropriate period rather than inferred from an attractive map.
The process starts with your existing customer or qualified-lead locations. These are matched to postcodes and enriched with relevant property and location information. We investigate common characteristics among stronger outcomes, then look for other postcode areas with similar profiles.
The sequence is: customer or lead locations → postcode matching → property and location enrichment → common characteristics → similar postcode areas → testable geographic targeting selections for Google Ads, subject to the locations available in the account. These are geographic recommendations, not an uploaded list of identified households or a guarantee of individual interest.
A location that resembles your best-customer areas is a candidate for testing. The analysis should consider coverage, data quality and the possibility that existing marketing activity influenced where those customers came from.
Solar installations, battery retrofits, combined solar and battery systems, heat pumps and EV-related services may have different location profiles. Treating all enquiries as one market can obscure patterns within each service.
AdMapia helps each company discover patterns in its own data. Where records identify the service requested or purchased, we can compare geographic outcomes separately and explore which property and location characteristics are relevant. We do not assume that one property type or neighbourhood profile is universally best for a particular technology.
Separate recommendations can help you plan campaigns around your actual service mix, installation capacity and commercial priorities. Where there is too little evidence for a service, a focused test can be more useful than a confident-looking prediction.
Campaign A represents your existing geographic targeting. Campaign B uses an AdMapia-selected postcode targeting set, mapped to the geographic options supported by Google Ads. Keep other major variables — including creative, keywords, bids, budget and measurement — as comparable as practical.
The experiment design matters. Overlapping geographies can create competition or contaminate comparisons, while different areas may have different underlying demand. Agree an appropriate experiment or matched-area design, avoid unintended overlap, and document the limitations before launching.
Compare CPA, conversion rate, qualified leads, sales and ROAS where reliable values are available. Choose a primary success measure, an adequate test period and a way to account for delayed sales outcomes. This lets your company validate whether the recommendations create measurable improvement. A test can also show no meaningful difference or a worse result; the next decision should follow the evidence.
You do not necessarily need to expand your radius to find new opportunities. Under-targeted postcode areas may already sit within your existing service territory, close enough to fit your installation routes and operating capacity.
AdMapia can help identify areas worth prioritising, testing, monitoring or deprioritising. Existing performance, location characteristics and the strength of the available evidence should inform those categories. An area with little historic activity may deserve a test rather than being written off as low potential.
The same approach can support decisions about entering new towns, opening a branch or extending Google Ads coverage. Compare potential with travel time, operational constraints and local competition before committing significant budget. Location analysis supports those decisions; it does not replace commercial judgement.
Competitors can access similar keywords, bidding systems and Google Ads automation. They do not have your exact customer history, lead history, sales outcomes, geographic performance or CRM information. That first-party knowledge can provide a valuable starting point for a more relevant location strategy.
AdMapia helps turn this information into a repeatable process: connect outcomes to locations, investigate patterns, select areas to test and feed the results back into the next decision. As the quality and completeness of your records improve, the analysis can become more informative.
Start with the minimum information needed for the agreed analysis. Postcodes and aggregated outcomes may be sufficient for an initial discussion; customer names and personal contact details are not needed in an enquiry form. Any subsequent data transfer should use an agreed secure process.
A Location Opportunity Report starts with information your business already has: your service area, customer locations, lead data, Google Ads performance and, where available, sales or CRM outcomes. AdMapia enriches this with postcode, property and location intelligence to investigate where the strongest opportunities may lie.
The useful output is a set of clear recommendations to discuss, test and act on — with the supporting evidence and any limitations made visible. That might mean focusing more budget on a promising area, testing a similar location or improving measurement before making a larger decision.
Tell us which services you provide, where you operate and what you want to improve. We can then agree what data is available and the appropriate next step for your business.
Tell us about your business and the locations you serve. We’ll get in touch to discuss your Location Opportunity Report.
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