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Here’s a clear overview of each area with 10 practical points per heading:
Keyword research to identify search intent
On-page optimisation (titles, meta descriptions, headers)
Technical SEO (site speed, mobile-friendliness, indexing)
Content optimisation for relevance and depth
Internal linking structure to improve crawlability
Backlink acquisition from authoritative sites
User experience (UX) signals like dwell time
Local SEO for location-based visibility
Schema markup for rich search results
Continuous performance tracking and updates
Keyword bidding strategy (CPC management)
Ad copy creation and A/B testing
Campaign structure (ad groups, themes)
Landing page optimisation for conversion
Quality Score improvement (Google Ads)
Audience targeting (demographics, intent, remarketing)
Budget allocation and bid adjustments
Conversion tracking and attribution setup
Negative keyword management
Performance optimisation through data analysis
Defining target audience personas
Choosing the right platforms (LinkedIn, Instagram, TikTok, etc.)
Content calendar planning and scheduling
Brand voice and messaging consistency
Organic vs paid content balance
Engagement strategy (comments, DMs, community building)
Influencer collaborations and partnerships
Paid social advertising campaigns
Analytics tracking (reach, engagement, conversions)
Trend monitoring and adaptation
Content strategy aligned to buyer journey
Blog writing and SEO integration
Video content production (short-form and long-form)
Lead magnets (ebooks, guides, templates)
Storytelling to build emotional connection
Content distribution across channels
Repurposing content into multiple formats
Editorial planning and consistency
Thought leadership development
Performance measurement (traffic, leads, ROI)
Product positioning and market research
Website UX and conversion optimisation
Product page optimisation (images, descriptions, reviews)
Pricing strategy and promotions
Checkout optimisation to reduce cart abandonment
Inventory and supply chain management
Payment gateway and frictionless transactions
Customer retention (email, loyalty programs)
Retargeting and abandoned cart campaigns
Analytics (conversion rate, AOV, LTV)
Automated ad buying via DSPs
Real-time bidding (RTB) systems
Audience segmentation using data signals
Behavioural and contextual targeting
Cross-device targeting and tracking
Data management platforms (DMPs)
Ad inventory optimisation across publishers
Frequency capping to avoid ad fatigue
Performance optimisation using machine learning
Transparency, fraud prevention, and brand safety
Setting up tracking tools (Google Analytics, pixels)
Defining KPIs and success metrics
Funnel analysis (awareness → conversion)
User behaviour tracking (clicks, heatmaps)
Traffic source attribution modelling
Conversion rate analysis
Cohort analysis for retention insights
A/B testing and experimentation
Dashboard creation and reporting
Data-driven decision making and optimisation