AI Marketing Consultant in Hyderabad

Each service is built on the same idea: measure what matters (cost per lead, lead quality, conversions, revenue), test one change at a time, and automate the repetitive parts so the team can focus on decisions.

• AI lead generation. Lead pipelines where every enquiry is segmented, scored and routed, so sales spends time on the people most likely to convert.
• Meta ads and performance marketing. Disciplined creative and audience testing on Meta, measured on cost per lead and lead quality rather than clicks.
• Admissions marketing. Campaigns and follow-up systems that turn admission enquiries into applications, tracked from first click to enrolment.
• Election campaign marketing. Digital outreach, message testing and reporting for campaigns, planned to follow election commission and platform rules.
• Marketing analytics and Power BI. One reliable view of spend, leads and outcomes, tracking metrics such as CPL, CTR and ROAS.
• LLM reporting automation. Automated, reviewed reporting where LLMs draft the narrative from your numbers and a person approves it.

Strategy comes first: I start by understanding your goals, audience and the growth opportunities in your funnel. Execution is data-driven, using analytics and A/B testing to make each decision with evidence. Then automation scales it: AI and automation save time and keep results consistent as volume grows.

In practice that means recording a baseline before changing anything, running controlled tests on one variable at a time (offer, creative, audience or form), and moving budget to the variants that win on cost per lead and lead quality.

At INT360 Design Studio I reduced cost per lead by 20% over six months and saved about ₹8 lakh a year by running 15+ Meta A/B tests with statistical significance testing across 10+ clients and ₹50L+ of ad spend. Cohort analysis and customer segmentation in Python lifted conversion rates by 30%.

At Eject Solutions I generated 3,000+ segmented, qualified leads for the number one outreach campaign of the year by building Python and SQL pipelines that extract, clean, de-duplicate and score prospect data, facilitating ₹1.4 crore+ in revenue within six months. LLM pipelines with LangChain and the Claude API cut client report delivery from 3 days to 4 hours.

Two campaigns show the range, from admissions to elections, online and offline.

• P P Savani University admissions (2024–2025). Achieved the top admission rate with 350+ students admitted, running targeted outreach through online and offline campaigns supported by a lead pipeline that segmented and scored prospective students.
• Police Officers Association election, Hyderabad City (2026). Led the online and offline marketing and manifesto for the panel that won all 29 of 29 election seats and the presidency.

• How the lead pipeline works
• When everyone has AI: where marketing advantage goes
• Business development

Meta Ads, Power BI, Python, SQL, Pandas, Excel, LangChain and the Claude API. I communicate with leadership, clients and students in English, Telugu and Hindi.

For more marketing guides, case studies and a lead cost calculator, visit my marketing site.

• marketing.adithyareddy.online