Growth and Lifecycle/CRM leader who grew a marketplace's monthly gross profit from $50K to $320K+ and helped scale a consumer-electronics brand from $150K to $3.2M+ in annual revenue. Built CRM, loyalty and membership programs on Customer.io, Klaviyo and Braze, backed by a paid-acquisition foundation most CRM leaders don't have. GCC, Europe (Italy, Monaco), US and India.
Every number below is tied to a specific role. The trajectory across budget owned, revenue moved, ROAS held and teams led is what Director-level scope looks like built over 10 years.
Growth and lifecycle leader with 10+ years in performance and retention marketing. I run CRM as a revenue channel, lead teams of up to 7 and report growth and P&L directly to founders.
At Getthatboat I built the Customer.io lifecycle program and n8n automation layer from scratch, plus a GenAI voice agent in the booking funnel. Monthly gross profit grew from $50K to $320K+ in 8 months. Before that, Bepro grew from $150K to $3.2M+ in annual revenue while I led growth. Members of the BeproPoints loyalty program I launched reached a 28% repeat-purchase rate.
My background is in performance marketing ($480K+/yr budgets at 5.5×–7.8× blended ROAS), so the lifecycle systems I build account for what each customer cost to acquire.
Grew monthly gross profit from $50K to $320K+ by owning the entire growth function. Developed bilingual Arabic/English Meta, Google and TikTok campaigns for GCC audiences. Built n8n-powered behavioral booking workflows across WhatsApp, SMS and email and deployed a GenAI voice calling agent. Bookings rose 30% in the agent's launch month, driven by the combined growth program across performance marketing, content and lifecycle journeys. Onboarded 15+ charter companies and 80+ yachts.
Owned paid acquisition, CRM, and lifecycle for a $3.2M+ annual-revenue consumer-electronics brand serving DTC, B2B distribution, retail partners, and resellers. Scaled Meta, Google, and Amazon spend from $2K to $40K/month while doubling ad-driven DTC revenue year over year and reducing CAC by 23.15%.
Built end-to-end retention funnels via WhatsApp Business API, email and SMS, segmented by cart value and time-since-abandon rather than a blanket weekly send. Also managed Amazon Sponsored Products, Brands and Display, lifting ROAS to 4.2× through precision keyword targeting and bid adjustments.
Owned BeproPoints from strategy to execution. Used member purchase behavior to shape retention journeys, ran points communications and redemption flows and built retention segments that contributed to a 22% 90-day repeat-purchase rate among active members.
Built a systematic creative testing framework developed winning ad concepts, tested copy and visual variations and identified high-performing creatives before data confirmation. Improved CTR by 16% and increased team ROAS by 15% through structured experimentation.
Managed 15+ DTC eCommerce brands across Meta, Google Ads, TikTok and LinkedIn simultaneously spanning luxury, fashion, retail and F&B. Grew revenue from $15K to $120K+ in 3 months at 3.5× ROI for a US fashion brand by building SKU-level ad sets, adding UGC creative and layering lookalikes on purchaser lists.
Content was bringing in a flood of enquiries, but many went cold before booking. Hiring more people to reply faster was the obvious fix and an expensive one.
The drop-off data pointed to response speed and follow-up, not pricing or creative. I built a GenAI voice agent that replies first, qualifies the enquiry and hands serious leads to a human. I tested it on a subset before rolling it out.
Bookings rose 30% in the launch month, alongside the performance marketing, content and lifecycle work my team was running. The agent closed the speed gap the data had pointed to.
Every Klaviyo subscriber got the same welcome sequence and a weekly cart reminder, whether they were a first-time browser or a repeat buyer. Nobody could explain why a send underperformed.
Instead of polishing subject lines on a static list, I rebuilt the program around customer state (new, cart abandoner, repeat buyer, lapsed) with a trigger for each. It took longer but had a much higher ceiling.
Behavior-triggered WhatsApp, email and SMS flows recovered $12K a month in abandoned carts at 3.2× return. Repeat buyers got their own tracked flow.
DTC, 60+ retail-partner stores and 40+ resellers each kept separate customer data, so our segments only covered online buyers.
I connected online and offline data into one customer view.
One segmentation model fed email, SMS and WhatsApp journeys and campaign targeting across all three channels.
Amazon took about 40% of the media budget at a steady 4.2× ROAS. Attribution data showed Meta getting lower CAC on the same SKUs.
I built the case on 8 weeks of side-by-side attribution data and proposed a phased 30% shift over 6 weeks, keeping enough Amazon spend to protect organic rank. Leadership agreed to run it.
Blended ROAS held at 5.5×–7.8×, with Meta peaking at 12.19×. CAC fell 23.15% and DTC revenue doubled year over year.
Bepro was a $150K annual-revenue consumer-electronics brand when I joined. By the time I left it was a $3.2M+ annual-revenue business selling through DTC, B2B distribution, 60+ retail-partner stores and 40+ resellers. I led growth across the whole customer journey. That covered paid acquisition on Meta, Google and Amazon with my performance team, lifecycle on Klaviyo and WhatsApp and the BeproPoints loyalty program.
Every result in my portfolio came from a repeatable process not luck. Here is exactly how I approach growth and performance marketing.
Before touching any budget I audit the full account: campaign structure, audience overlap, creative fatigue, attribution gaps and funnel drop-off points. I identify exactly what is wasting spend and what has potential. No assumption, only data.
I build separate campaign structures for each funnel stage. TOF for cold audiences (broad + interest), MOF for warm traffic (video views, page engagement), BOF for high-intent retargeting (cart abandoners, past purchasers). Each stage has its own creative brief, bid strategy and success metric.
Every week I introduce 3-5 new creative concepts testing different hooks, formats and copy angles. I track thumb-stop rate, hook rate, CTR and ROAS per creative in a shared tracker. I identify patterns before the algorithm does. This is how CTR improved 16% at Bepro and CPA dropped 21.85% at Getthatboat.
I scale budget only when ROAS holds for 7+ consecutive days and creative fatigue is managed. Budget increases are 20-30% increments not 100% jumps. This is how $2K/month became $40K+/month (a $480K+ annualised run rate, 20× growth) while maintaining a 5.5×–7.8× blended ROAS instead of watching it collapse on scale.
Post-purchase is where margin lives. I build WhatsApp API, email and SMS flows segmented by purchase behavior, cart value and product category. Timed touchpoints, personalized messaging, not a static send calendar. It's the approach behind the abandoned cart recovery and the BeproPoints loyalty program at Bepro, where members reached a 28% repeat-purchase rate.
GA4, GTM, Meta Pixel, Amazon Attribution, Microsoft Clarity and Looker Studio dashboards. I set up proper event tracking across every channel, run weekly attribution checks and make budget decisions based on data not gut feel. At Binfosol, attribution data revealed LinkedIn outperformed Meta on lead quality I shifted 30% of budget and ROAS improved immediately.
Which mechanism I use depends on how mature the tracking is. When purchase data is clean, I move campaigns to platform value-based bidding, Target ROAS or Maximize Conversion Value, using real order revenue as the signal. When conversions happen offline bookings closed over WhatsApp, or B2B deals closed by sales I build a CRM-driven offline conversion process and use that revenue data to make budget and bidding calls manually instead of relying on the platform's own numbers.
I treat every unfamiliar platform, market or business model as a structured problem to solve, not a blocker. When I joined Getthatboat, the charter yacht marketplace model was entirely new to me. Within weeks I had onboarded 15+ companies, built the GTM strategy and deployed a GenAI calling agent. Speed of learning is a competitive advantage I bring to every role.
When I encounter something new a channel, a tool or a market I do not wait to feel ready. I research the fundamentals, study what the best practitioners do, run a small test, measure it and iterate fast. This is exactly how I built hands-on expertise in TikTok Ads, WhatsApp Business API, Amazon Seller Central, GenAI automation and GCC market localization all learned and applied in live business environments with real budgets.
You will not need to wait months for me to get up to speed. I ramp quickly, contribute early and consistently close knowledge gaps in myself and my team. I am also open to relocating immediately. Geography is not a constraint. The right role and team is what matters.
I do not just manage headcount. I build teams that execute without hand-holding through structured coaching, clear ownership and systems that outlast any individual.
At Bepro I built the performance marketing team from scratch starting at 5 people defined the roles, wrote the briefs, ran the interviews and structured onboarding around channel ownership from day one. In year three I added a dedicated performance marketing strategist, growing the team to 6. Each hire was mapped to a specific gap in execution capacity, not just a seat to fill. At Getthatboat I built a 7-member cross-functional team across marketing and operations, onboarding people into clearly defined SOPs and outcome metrics from week one.
Ran structured weekly 1:1s with every direct report not status updates, but coaching conversations focused on how they were analysing data and making decisions. Asked: what did you see in the data this week, what did you do about it and what would you do differently? This cadence is how I identified individual skill gaps early, co-created development plans and kept the team improving independently. At Bepro this coaching approach drove a 15% increase in team-managed ROAS over 12 months.
Set individual ROAS targets per channel for each team member, not a shared team number. Built a shared performance dashboard visible to the full team everyone could see their own numbers and how they compared. Performance-managed underperformers with documented expectations, timelines and check-ins. Not every hire works out; I treated underperformance as a system failure first and a people problem second fixed the brief, the process and the support before escalating.
I actively created stretch opportunities gave team members ownership of a full channel or campaign segment before they felt ready, then coached them through it. Ran structured knowledge-share sessions where team members presented their channel learnings to the group. The goal was always the same: build a team that does not need me in the room to make good decisions. That is what leadership looks like at the Director level.
Growth does not happen in a marketing silo. Every major result I have delivered required tight alignment across Sales, Product, Engineering, CS and Operations and knowing when to push, when to align and when to escalate.
At Getthatboat I partnered directly with the development team to ensure campaign routing infrastructure, tracking and attribution were built correctly before spend went live not patched after. Worked with engineering on marketplace feature prioritization to align product releases with acquisition campaigns. At Bepro I collaborated with the tech team on pixel setup, checkout tracking and data layer implementation to eliminate attribution gaps that were distorting ROAS reporting.
Worked closely with operations before scaling spend on any SKU or charter listing confirmed inventory availability, fulfillment capacity and customer support readiness before demand went live. Learned early that driving acquisition into a broken post-purchase experience destroys CAC efficiency. At Getthatboat this alignment between marketing and ops helped the 30% booking lift hold, because the experience matched the promise in the ad.
At Binfosol I partnered with the sales team and university partners to align campaign messaging with ICP segmentation rebuilt audience targeting based on sales feedback about lead quality, not just marketing metrics. At Getthatboat I worked directly with founders on positioning and pricing strategy for the B2B charter acquisition segment, ensuring paid media messaging matched the sales conversation charter companies were having with the marketplace team.
Did not just approve assets co-wrote creative briefs with hooks defined by audience data, visual direction set by top-performing formats and success metrics agreed upfront. Gave creative teams context: who the ad is for, what objection it is overcoming and what one action it needs to drive. This collaboration process is what produced the bilingual Arabic/English frameworks at Getthatboat that delivered 18% CTR improvement and 21.85% CPA reduction.
Comfortable presenting to founders and senior leadership with the full picture including risk, downside scenarios and what I do not know yet. At Bepro I built the business case for the Amazon-to-Meta budget reallocation with 8 weeks of attribution data, modelled both upside and downside scenarios and proposed a phased test rather than a hard cut. Leadership aligned because the proposal showed I had thought through failure, not just success.
At Getthatboat built the full GTM strategy for a new charter marketplace segment from scratch ICP definition, channel selection, creative framework, automation stack and performance reporting and had it live within weeks of joining. At Bepro designed and executed segment-specific GTM plans for each product vertical, aligning paid media with product launch calendars, inventory cycles and customer lifecycle stages across Meta, Google and Amazon simultaneously.
Tools I use to unify customer data, build behavioral segments, orchestrate lifecycle journeys and drive retention across email, SMS and omnichannel touchpoints.
Hands-on experience using AI across marketing, automation, content creation, video production and workflow building not just prompting, but integrating into real business systems.
10+ years building CRM, loyalty and lifecycle programs across D2C ecommerce and marketplaces in the GCC, Europe, the US and India. Grew a marketplace's monthly gross profit from $50K to $320K+, helped scale a consumer-electronics brand from $150K to $3.2M+ in annual revenue and lifted loyalty member repeat purchase to 28%.