Marketing | Sambohon.digital

Marketing

inbound marketing

bring the masses to the table.

Inbound marketing is absolutely one of my favorite lead drivers, offering demonstrably higher lead-to-sales conversion rates and superior ROI. It's the fine art of attracting customers by providing the exact information they are already searching for—a strategy intrinsically linked to platforms like Google. I leverage all the tools this entails, from Organic SEO and PPC campaigns to sophisticated retargeting. To supercharge this efficiency, I integrate Generative AI directly into the inbound loop. I use AI to analyze high-performing content, model customer search intent (from SEO data), and instantly generate highly personalized variations of ad copy, landing page headlines, and email content. This allows me to dramatically accelerate testing, optimize creative assets based on real-time lead generation performance, and ensure our content is perfectly positioned to capture and guide the customer journey at maximum efficiency.

Advertising Tools & AI Enhancements

My approach to managing paid media across these networks is centered on using AI and LLMs to drive creative relevance, bidding efficiency, and pipeline velocity:

Google Ads (AdWords): Leveraged for sophisticated Performance Max (PMax) strategies, informed by AI modeling of high-intent search queries from my SEO data. I use LLMs to dynamically generate highly optimized, contextually relevant headlines and descriptions that improve Quality Scores and reduce CPA.
Meta Business Suite (Facebook/Instagram): Utilizes GenAI for creative variance testing and audience persona refinement. I generate dozens of ad copy and visual overlay variations, using the AI to predict which creatives will resonate most strongly with segmented audiences for maximum lead generation volume.
LinkedIn Advertising: Focuses on B2B lead quality. I use LLMs to craft hyper-specific, problem/solution-oriented ad copy for Sponsored Content, ensuring messaging aligns perfectly with high-value titles and driving superior lead-to-SQL conversion rates.
AdRoll, Twitter/X Business, TikTok, and Yelp Advertising: Across these diverse platforms, I use AI to rapidly localize and optimize messaging. For example, on TikTok, AI helps instantly generate trendy, short-form video scripts and dynamic captions, while on AdRoll, I use it to refine retargeting banners based on user behavior and predicted churn signals.

In short, I use these platforms as execution channels, and AI/LLMs as the strategic engine to ensure every campaign operates at peak efficiency and personalization.

outbound marketing

go big or go home

While inbound marketing excels in lead efficiency, outbound marketing remains critical for creating broad brand reach and immediate impact. Outbound—encompassing print, digital broadcasts, TV, and radio—is fantastic for short campaigns and driving awareness for specials. My approach to outbound ensures every dollar is measurable by immediately implementing robust ROI measurement frameworks, linking high-level broadcast spend back to digital lift and sales pipeline performance. Crucially, I enhance creative effectiveness using Generative AI to analyze past campaign data (e.g., ad effectiveness, response rates) and generate high-impact, culturally resonant messaging variations before deployment. This strategic use of AI enhancement minimizes creative risk and ensures the large-scale broadcast efforts hit their mark with precision, guaranteeing that we crush goals by knowing exactly which combination of tactics to use.

tools used for the job

My operational toolkit is built for speed and computational power, ensuring I can execute high-fidelity design while concurrently running data models. It consists of:

Adobe Creative Cloud (The Core): This remains the foundation for all multimedia assets, including print, web, and video production (Premiere Pro, After Effects, Photoshop).
Generative AI & LLMs (The Accelerator): Tools like Midjourney, Stable Diffusion, and Gemini/DALL-E are indispensable for rapid AI enhancement and ideation. I use them to quickly prototype concepts, generate complex textures for 3D assets, and create dozens of micro-variations of ad creative for A/B testing, dramatically reducing time-to-market.
High-Performance Workstation (The Engine): A Maxed-out MacBook Pro or equivalent high-spec PC workstation is essential. This power allows for simultaneous high-end video rendering, 3D assembly, and running complex data analysis and AI modeling software without lag, ensuring continuous flow between strategy and execution.
Strategic Fuel: Lots of coffee (and data).

social media

the kids get all the fun toys.

The digital landscape has shifted dramatically, moving past the static feeds of early platforms and centering entirely on short-form video. There has never been a more immediate or disruptive media format than the ecosystem dominated by TikTok and its competitors (Reels, Shorts). My approach to social media marketing is focused on moving beyond simple engagement to achieving measurable lead generation and ROI through highly efficient, platform-native content.

Success hinges on speed, relevance, and precise audience targeting. I manage this rapid content cycle by integrating AI video editing tools and Generative AI for content planning. I use AI to instantly model content ideas based on trending audio/SEO data, assist in rapid script generation, and even create dynamic visual overlays. This drastically accelerates the time-to-market for short-form assets. By understanding the unique algorithms and cultural nuances (the rules, fans, and faux pas) of each platform, I ensure that our messaging is optimized to break through the noise, meet the audience where they are, and guide them directly into the conversion funnel. We don't just participate in social media; we strategically dominate relevant verticals to drive business goals.

Social Media Tool Stack & AI Integration

My social media toolkit is powered by robust platforms and turbocharged by Generative AI for content velocity and optimized lead generation:

HootSuite (or Similar Aggregator): Used for centralized content calendar planning, scheduling, and listening. AI Enhancement: I integrate LLMs here for rapid content repurposing, feeding longer-form articles into the tool to instantly generate 5-10 tailored social media posts and caption variations for deployment across different platforms.
Meta Business Suite (Facebook/Instagram): The core engine for conversion-focused campaigns. AI Video Editing & Enhancement: I leverage integrated or third-party AI video tools to quickly adjust aspect ratios, add dynamic text overlays, and generate automated subtitles for Reels/Stories, ensuring assets are perfectly optimized for mobile consumption and performance testing.
LinkedIn Advertising: The primary channel for B2B lead generation. AI Enhancement: I use AI to analyze sales navigator data and craft hyper-specific ad copy for sponsored content and InMail, guaranteeing maximum resonance with high-value technical and executive audiences.
TikTok Advertising: Crucial for awareness and tapping into short-form video trends. AI Video Editing & Enhancement: I rely heavily on AI tools for trend analysis, fast-tracking script ideation, and accelerating the editing process, allowing us to publish content at the speed required by the platform's algorithm.
Twitter/X Business: Used for real-time engagement and niche topic authority. AI Enhancement: I use LLMs to monitor trending conversations and generate quick, authoritative responses, positioning the brand as a thought leader in relevant industry discussions.

In summary, these platforms serve as the execution layer, while AI and LLM tools act as the strategic content accelerator and personalization engine across all channels.

crm

keeping it organized

The modern Customer Relationship Management (CRM) system is no longer just a database; it is the intelligent, AI-enhanced command center that powers the entire customer lifecycle. In platforms like HubSpot or Salesforce, the CRM is the unified source of data that fuels marketing, sales, and customer success. It collects, segments, and enriches data, not only allowing us to deploy hyper-targeted campaigns for lead generation but also serving as the fuel for ongoing customer engagement and re-engagement campaigns. Crucially, modern CRM's integrate AI enhancements to automatically assign predictive lead scores, optimize next-best actions for sales teams, and forecast churn risks. Since my first days at AutoStar Solutions, leveraging a robust, data-rich CRM to manage and act upon this entire spectrum of customer intelligence has been, and will remain, the cornerstone of my marketing career.

Modern CRM Toolkit & AI-Powered Enhancements

My experience with these top-tier CRM platforms goes beyond simple data entry and segmentation; it focuses on leveraging their built-in AI and machine learning capabilities to drive predictive and personalized marketing and sales motions.

HubSpot: I utilize HubSpot's automation tools, heavily informed by AI enhancements, for sophisticated lead scoring and predictive routing. This allows me to assign personalized scores based on behavioral data and instantly route the hottest leads to the appropriate sales channel, dramatically accelerating the time-to-sale and improving lead generation efficiency.
Salesforce: For enterprise-level strategy, I leverage Salesforce's Einstein capabilities for forecasting and personalized outreach. Specifically, I employ Generative AI techniques to analyze historical sales data and dynamically suggest "next best actions" or personalized content recommendations for sales representatives, ensuring high-value engagements.
Zoho CRM: I use Zoho's AI features for sales assistant capabilities and workflow automation. This includes using machine learning to identify optimal times for communication (email/call) and implementing rules that automate the progression of warm leads through the pipeline, freeing up team time for critical closing activities.
Microsoft Dynamics 365: I focus on integrating Dynamics' AI with other Microsoft stack tools (like Power BI) for advanced customer journey mapping and churn prediction. I use AI-driven insights to identify customers at risk of attrition and automatically deploy targeted re-engagement campaigns to maximize customer lifetime value (CLV).

By focusing on these AI-enhanced techniques, I ensure the CRM acts as a proactive, intelligent partner in driving both new lead generation and existing customer retention.

analytics

let's take a peak under the hood shall we?

I truly saved the best for last because analytics is the critical connective tissue that defines all modern marketing success. The old trick was unifying data; the new challenge is unifying predictive insight. My first action on any project is to establish a rigorous data governance model and channel all performance metrics onto a single, unified platform like PowerBI or a centralized data lake. From there, I leverage AI-driven predictive analytics to move beyond simply reporting what happened. Instead, I model global targets and actively forecast which campaigns—across paid media, SEO, or content—will yield the highest lead generation ROI. This proactive approach allows me to continuously measure relevance, challenge assumptions, and execute dynamic, real-time pivots across every platform (Meta, Google, etc.). Without measuring effectiveness and using intelligence to guide spending, you are simply guessing—and that is the most expensive thing any marketing team can do.

Analytics Toolkit & AI Data Measuring Techniques

My analytics stack is designed to not only collect data but to use AI and machine learning to derive predictive insights, allowing me to move from reactive reporting to proactive strategy.

Google Analytics (GA4): Beyond tracking traditional sessions and conversions, I leverage GA4's machine learning capabilities for predictive metrics (e.g., predicting purchase probability and churn likelihood). This allows me to target high-value user segments immediately for lead generation campaigns and optimize budgets based on forecasted ROI.
Adobe Analytics: For enterprise clients, I integrate Adobe's advanced segmentation tools with AI-driven attribution modeling. This ensures we move past last-click attribution to accurately understand the full customer journey, giving proper credit to upper-funnel content and design assets.
PowerBI / Tableau (Unified BI Platforms): These serve as the central dashboards where data from all marketing channels and CRMs converge. I use these tools to build AI-enhanced visual anomaly detection dashboards. This automatically flags sudden, relevant spikes or drops in CPL or conversion rates, enabling me to execute rapid, data-informed pivots on campaigns.
AI Content Auditing Tools (e.g., Clearscope, MarketMuse): I use these specialized tools, powered by LLMs, to measure the true effectiveness and authority of our content against top-ranking competitors. They provide AI-driven content quality scoring, ensuring that every SEO and inbound marketing asset is optimized not just for keywords, but for topic expertise and comprehensive user intent, directly boosting our organic lead generation potential.
Channel-Specific Reporting (Meta, Google Ads): I feed the performance data from these channels into the BI platform, using AI bidding strategies within the ad platforms themselves. My technique is to constantly validate the platform's AI outputs against my own BI data, ensuring their "black box" optimizations align with our specific, bottom-line ROI goals.

In essence, these tools allow me to govern the data, while AI techniques provide the intelligence layer necessary to maximize marketing investment and continuously prove the value of every campaign.