By industry
AI & Automation for Construction & Real Estate
Fewer enquiries, more buyers who can actually afford it
We design around
- DPDP Act 2023
- RERA disclosure requirements
- Consumer protection and advertising standards
- Channel partner data-sharing agreements
- 58%
- Reduction in unqualified enquiries reaching sales
- < 4 hrs
- Qualified enquiry to dealer contact
- 14 months
- Attribution window that stays intact
With qualified volume held roughly flat
Enquiry through to closed sale
What we hear
The problems that bring people to us
If several of these describe your week, there is almost certainly something worth automating.
- Portal and campaign enquiries that mostly cannot buy at your price
- Sales teams spending weeks qualifying leads by hand
- A long consideration cycle indistinguishable from a dead pipeline
- No way to tell which spend produced an actual sale months later
- Premium products dragged into a price comparison they cannot win
What we build
Where automation pays off in construction & real estate
Qualification that filters early
Fit, budget band and project stage established at the point of enquiry rather than three calls in, with poor-fit enquiries handled respectfully and kept out of the sales queue.
Long-cycle attribution
Spend reconciled against sales that close six to eighteen months later, so the campaign that produced a buyer is still attributable when the money arrives.
Premium positioning in the creative
Price band and specification stated plainly enough that the wrong buyers self-select out. Fewer enquiries, better ones, and less sales time spent discovering a mismatch.
Dealer and channel routing
A qualified enquiry reaching the right dealer, branch or specifier the same day, with the context attached and the handoff tracked rather than emailed and forgotten.
Specification and quotation support
Drafting quotations and specification documents from the enquiry and your product data, for a person to price and approve.
Volume is the wrong target
This sector buys leads by the hundred and complains about them by the hundred. The two facts are related.
When a campaign is optimised for enquiry volume, it will deliver volume — from people browsing, from people whose budget is a third of your entry price, and from people eighteen months from any decision. Each of those costs a salesperson a phone call, a follow-up and an entry in a CRM that makes the pipeline look healthier than it is.
For a considered, high-value purchase, the honest measure is cost per qualified buyer and the sales time consumed getting there. Optimising against that number usually reduces the headline figure everyone has been reporting, which is an uncomfortable conversation worth having early.
The long-cycle attribution problem
A buyer enquires in March and completes in the following May. By then the advertising platform's attribution window closed months ago, the campaign has been paused, and the sale is recorded against whatever touched the record last — often a brand search the buyer made because they already knew who you were.
Every conclusion drawn from that is wrong. Campaigns that produce real buyers look ineffective and get cut; late-touch channels look brilliant and get funded.
The fix is not clever modelling. It is stamping the enquiry with its origin in your own systems at creation, carrying that identity through to the closed sale, and doing the attribution as a join in your own data. It depends on CRM discipline holding for a year, which is why the RevOps hygiene work usually comes first.
Speed matters more than most people believe
For considered purchases the instinct is that response time matters less, since the buyer is not deciding today.
The data does not support that. The enquirer has contacted several suppliers, and the first credible response frames the comparison — it sets the specification vocabulary, the reference price and the relationship. Arriving third to a conversation that will run for a year is a structural disadvantage that better follow-up rarely recovers.
Qualifying and routing within hours rather than days is among the cheapest interventions available in this sector, and it is automation rather than marketing.
Volume model
- Every enquiry into one queue, ranked by arrival
- Budget and stage discovered on the third call
- Attribution from platform-reported conversions
- Dealer allocated by territory spreadsheet
- Pipeline padded with enquiries that cannot buy
Qualified model
- Enquiries scored on fit and budget band at creation
- Stage and budget established before the first call
- Attribution joined in your CRM across 14 months
- Routed to the right dealer within hours, tracked
- Pipeline reflects buyers, and forecasts start working
The channel handoff
For manufacturers selling through dealers, specifiers or contractors, the weakest link is usually the handoff rather than the lead.
An enquiry generated centrally, emailed to a dealer, and followed up whenever they next check that inbox produces exactly the complaint every manufacturer in this sector reports. The dealer believes the leads are poor; the marketing team believes the dealers are slow; both are looking at the same broken handoff.
Making it a tracked routing step with acknowledgement, timing and outcome captured resolves the argument by producing evidence. It also surfaces which dealers convert, which is commercially useful information that most manufacturers do not currently have.
Where the work overlaps
The demand system is Growth & Demand Generation. The attribution and enquiry data layer is data platform buildout. Qualification, routing and quotation drafting are sales and revenue operations, and any customer-facing configurator or specification tool is Product Engineering.
FAQ
Questions we get asked
Talk to someone who has worked in construction & real estate
Bring a process that annoys you. In 30 minutes we will tell you whether AI helps, what it would cost, and where it would fail — even if the answer is don't bother.
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