Digital Mojo launches AI platforms for real estate marketing

Digital Mojo unveiled Mojo Cortex and Mojo Analytica in Hyderabad, positioning the platforms as AI tools built for real estate marketers that combine proprietary campaign data with human review. The company says the systems improved lead quality by up to 37% and are already analyzing more than ₹57 crore in ad spend across 1,100+ campaigns.

Why it matters: - Real estate marketers often juggle campaign data across ads platforms, analytics tools and CRMs. - Digital Mojo says Mojo Cortex and Mojo Analytica are designed to turn that fragmented data into faster decisions, better lead quality and lower acquisition costs. - The platforms are purpose-built for real estate, which sets them apart from generic AI tools that may miss industry context.

What happened: - Digital Mojo launched Mojo Cortex and Mojo Analytica, two proprietary AI-powered platforms for the real estate sector. - The announcement came from Hyderabad, where Digital Mojo is headquartered. - The company says the platforms combine artificial intelligence with expert human oversight. - Digital Mojo says the systems are already supporting campaigns for developers and advisory firms, including ANAROCK.

The details: - Mojo Cortex and Mojo Analytica were trained on more than 3,000 pages of Digital Mojo's proprietary standard operating procedures. - Digital Mojo says the SOP base was built from years of managing high-performance real estate campaigns across India. - The platforms connect to Google Ads and Meta Ads through APIs and pull campaign data daily. - The AI evaluates campaigns across four layers: creative performance, audience and targeting, search intent and keyword quality, and budget and bidding efficiency. - The system flags wasted spend, recommends corrective actions, explains the logic behind each recommendation and estimates the expected business impact. - Digital Mojo uses a human-in-the-loop review process, with performance marketing specialists checking every recommendation before implementation. - Approved, modified or rejected recommendations are recorded with the rationale behind the decision. - The feedback loop is intended to make future recommendations more informed as more campaign intelligence is added. - During the past three months, the platforms analyzed more than ₹57 crore in ad spend across 1,100+ campaigns. - Digital Mojo says those campaigns generated insights from more than 670,588 real estate leads. - The company says the platforms improve lead quality by up to 37%. - In one Western Hyderabad residential project, the campaign budget was ₹23 lakh. - Mojo Cortex identified weak creatives in the first seconds of engagement. - The platform also surfaced high-spend search queries that were bringing in low-quality traffic. - It recommended additional negative keywords to reduce wasted clicks. - After acting on the insights, the team cut cost per lead from ₹1,100 to ₹897. - The team also improved cost per quality lead by 37% and increased qualified site visits. - Digital Mojo says the platforms reduce the time needed for manual reporting and performance analysis.

Between the lines: - The launch reflects a broader push to make AI useful for industry-specific decisions rather than generic automation. - The human review layer suggests Digital Mojo wants the platforms to be decision-support tools, not fully autonomous ad managers. - The emphasis on lead quality, not just lead volume, signals a focus on downstream sales outcomes instead of top-of-funnel metrics alone.

What's next: - Digital Mojo plans to add predictive lead scoring, CRM intelligence, advanced attribution modelling and automated budget allocation recommendations. - The company also plans deeper integration across the real estate sales ecosystem. - Digital Mojo's long-term goal is to create a marketing platform that keeps improving campaign performance while reducing manual work and boosting return on ad spend.

The bottom line: - Digital Mojo is betting that real estate marketing works better when AI is trained on sector-specific playbooks and checked by human experts.