matveoWe break down what we do with our own hands: campaigns, funnels, agents, budgets. No textbook theory.
Classifieds eat up to half of a developer's budget while platform reports paint a rosy picture. We break down the real cost of a lead from Cian, Avito and Yandex Realty, and when classifieds beat search ads.
A residential project website is the node where ad traffic turns into leads. 2026 conversion benchmarks by housing class, quizzes and forms, typical conversion killers, and what AI personalization adds.
VK Ads has become the second-largest traffic channel for developers after Yandex Direct. What actually works in 2026: lead forms, competitor geotargeting, and optimizing for qualified calls from the CRM.
Marketing delivered the lead, and now the most expensive part begins. First-touch speed, missed calls, a contact playbook and benchmark lead-to-deal conversion rates.
Market estimates suggest up to a third of new-build leads in some channels come from bots and incentivized traffic. We break down fraud types, CRM red flags, and defenses that work.
In real estate, 60-70% of inquiries come by phone, and without call tracking analytics loses most of the demand. We break down how dynamic call tracking works, what it costs in 2026 and how AI reviews every sales call.
Homebuyers increasingly ask Alice and ChatGPT for advice instead of search engines. We break down what GEO is and how to make AI models mention your residential project.
Seven practical budget shifts in new-build marketing for 2026: from AI agents in daily operations to negotiating with listing platforms. For each trend: what to do within a quarter.
What MCP is in plain terms, and how it lets an AI agent plug straight into ad accounts and analytics to change campaigns in hours instead of weeks.
Ads and analytics usually live apart at a developer. Here is how an AI agent closes the loop: it reads Metrica and the CRM and tunes campaigns by movement toward the deal, not by clicks.
A classic agency edits campaigns from a weekly report. Here is why a team of AI agents reshapes a development's advertising every day, and what that is worth in money.
Why developers can't connect budget to sales, and how to build analytics where every ruble is traceable from impression to signed contract.
The word "AI" rings hollow in real estate until there are specifics. We break down the tasks it really handles and where it saves money.
Where to source new-build leads, what they cost by segment, and how to hold lead cost as traffic gets more expensive every quarter.
Where project advertising starts, what each channel is responsible for, how much to budget, and how to build a media plan that brings buyers, not clicks.
How systematic real-estate marketing differs from a stream of activities, what it consists of, and how a developer moves from the content layer to the system layer.
What a new-build sales funnel looks like stage by stage, which conversion rates count as normal, and where deals and money most often leak.
What goes into lead cost in real estate, the benchmarks by segment in 2026, and why the average lead price is almost always misleading.
What an AI agent is in plain terms, and the five routine project-marketing tasks it takes over, freeing the team and saving ad budget.
Why paid search remains the traffic base for developers, how to build a campaign structure for a project, and what a Yandex Direct lead costs in 2026.
Why a developer needs an in-house marketing team, what a minimal working structure looks like, what to keep in-house, what to outsource, and where it leaks.