Strategic Marketing Professional
I run the full marketing funnel, from the plan to the conversion.
Performance-led marketing strategist who connects paid acquisition to sales capacity and conversions.
Over 2.5 years I have generated 600K+ leads, managed US$500K+ (BDT 60M+) in Meta ad spend across five accounts with 1.5B+ impressions, delivered a 7x to 20x ROAS range at a 7.6x average, and reduced cost per lead by 72%.
Promoted twice to Principal Officer and Team Lead of the digital marketing team, I build integrated monthly marketing plans that link revenue and conversion targets to budget, channel mix, content, creative, brand activations and lead distribution to sales. My planning focus has moved from lead volume to lead quality and conversion.
I work hands-on across Meta, Google, TikTok and LinkedIn Ads, GA4, GTM, SEO, AEO and CRM/ERP, and use AI agents, chatbots and automated reporting to run marketing operations faster than a manual team can.
Most marketers own a channel. I plan the month, buy the media, brief the creative, capture the lead, hand it to sales and keep the customer talking afterwards. Pick a stage to see what I do there.
Lead forms, video and reach across five accounts: domestic, awareness, course-specific and global. Audience, creative and placement tested on every campaign.
Search, Performance Max and Demand Gen video, built mobile-first. Impression share grew from 0% to 10% in a month against a market-leading competitor entering the same auctions.
Run with Meta to reach Bangladeshi parents living abroad, through a dedicated global account built for NRB audiences.
The same media budget behaves differently depending on what you optimize for. I set up the campaign, the tracking and the KPI around the business model, not around the platform default.
For businesses that sell through a call, a counsellor or a sales team.
For offers that close online: enrollment, booking, subscription or direct checkout.
For stores where the catalog, the feed and the margin drive every decision.
Customers now ask ChatGPT, Gemini and Google's AI Overviews before they ever click an ad. I optimize brands to be the answer those engines give, and use AI inside the marketing operation to plan, produce and report faster.
Making a brand the source AI assistants cite. Content is structured as direct answers, backed by consistent entity signals across the website, YouTube and Google Business Profile.
Sizing demand, mapping competitor positioning and ad libraries, and finding the gaps a brand can own before budget is committed.
An AI agent answers first, qualifies the lead and hands warm prospects to a human at the right moment.
Prompt-engineered scripts, ad copy, images and short video at testing volume, so creative fatigue never becomes the bottleneck.
Event tracking from first click to sale, and daily dashboards that build themselves from raw data so the team reviews decisions, not spreadsheets.
AI built into planning, lead QC lists, ad monitoring and reports, cutting the manual hours a marketing team spends on repeat work.
Mojaru Education Technologies sells live courses through a sales floor that calls every lead. Since 2024 I have worked across its five Meta ad accounts, and later built its Google Ads. This is what that work taught me, told through the numbers it produced.
Source: Meta Ads Manager and Google Ads, lifetime account data. Updated 30 October 2026.
When I took independent ownership of Mojaru's Meta funnel in 2025, cost per lead sat around US$0.90. The instinct across the industry is to fix that by pushing volume: more budget, broader audiences, more forms filled.
Volume was not the real problem. A lead only matters if a sales team can call it, qualify it and turn it into a sale. Cheap leads that land on an overloaded team are just expensive leads with a delay.
I restructured buying across five Meta ad accounts, each with one job: domestic acquisition, awareness, course-specific funnels and a dedicated global account for Bangladeshi parents living abroad.
Every campaign became a test of audience, creative or placement. Funnels ran as numbered series, so each new campaign started from what the last one learned. Over 350 campaigns later, the system ran at an average of roughly US$21.8K a month.
The monthly plan now starts with the revenue roadmap and works back: conversions needed, leads needed at each product's real conversion rate, then a CPL target per product for local and global audiences.
Lead flow is distributed product by product across the sales teams, matched to each team's capacity and conversion profile. Marketing stopped sending what it could buy and started sending what sales could close.
Cost per lead came down 72%, from US$0.90 to US$0.25, through systematic audience, creative and placement testing. Across June to August 2026 the engine delivered 174,858 of a 179,709 lead target, beating target in July and August.
July closed at 103% of target and August at 100.1%.
Real screenshots from the accounts behind the story. Only account names, contact details and ad creatives are blurred.
Source: Meta Ads Manager (mobile and desktop), Google Ads overview Nov 2025 to Oct 2026, AI agent dashboard. Captured 30 October 2026.
Meta, Google, TikTok, AI agents. Different platforms, the same discipline: plan from the conversion back, test every variable, and report what actually happened.
Work with meROAS moves with the course, the season and the audience. Across campaigns it ranges from 7x to 20x, with a 7.6x average across the full spend.
Three roles at Mojaru Education Technologies in under three years, each one with more of the funnel to own.
Monthly marketing plans that turn the revenue roadmap into conversion, lead, CPL and CAC targets. Product-wise lead distribution across sales teams. Lead the digital team, set KPIs and drive AI adoption in creative and reporting.
Full ownership of the Meta funnel. Scaled five accounts to US$500K+ lifetime spend and 42M peak reach. Launched Google Ads across Search, Performance Max and Demand Gen.
200,000+ parent conversations over WhatsApp and email, 5,000+ organic qualified leads, 20,000+ international leads from NRB campaigns, and 1,500+ leads a day through ERP and CCR.
Based in Dhaka. Available on-site and for remote projects worldwide.