Social Media Marketing

🚀 AI-Powered Social Media Marketing Strategies to Scale E-Commerce Sales & Lead Generation 🚀

Creatively Driven, Digital First

At Audience Intelligence Asia, we create AI-powered, data-driven social media strategies that drive engagement, brand awareness, and conversions. Our performance-focused social media marketing integrates trend analysis, audience insights, and creative content to maximize ROI across Facebook, Instagram, TikTok, and LinkedIn Ads.

🔹 AI-Optimized Social Campaigns – Target the right audience with smart bidding & automation.
🔹 Engaging Content Strategies – Craft scroll-stopping creatives to boost click-through rates & conversions.
🔹 Cross-Platform Integration – Seamless brand messaging across Facebook, Instagram, TikTok & LinkedIn.
🔹 Retargeting & Lookalike Audiences – Re-engage visitors & expand reach with AI-driven segmentation.
🔹 Data & Trend Insights – Leverage analytics to predict consumer behavior & refine ad performance.

🚀 Amplify your digital presence & drive real business results with expert social media marketing.

What do you get when you combine leading digital marketing experts with proprietary marketing technology?

More Leads and More Ecommerce Sales 

Establish Your Online Dominance

Get Noticed by the Masses on Facebook

Harness the Power of Visual Communication

Linkedin Advertising

🎥 Maximize Brand Awareness with YouTube & Video Marketing

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Results-Driven In-House Experts

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Brand Partners

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Regional Offices

Frequently Asked Questions

 

📢 Most marketers focus on testing ad creatives, but the real power of A/B testing lies in audience segmentation, bid strategy experiments, and multi-placement testing.

🔹 Audience Testing Beyond Interests – Test broad audiences vs. lookalikes vs. behavioral data segments.
🔹 Bid Strategy Testing – Run manual bidding vs. lowest cost vs. Target ROAS for efficiency.
🔹 Placement Optimization – Compare Facebook Newsfeed, Instagram Reels, Messenger, and Audience Network.
🔹 Ad Fatigue Prevention – Rotate ad sets with automated rules & dynamic creative optimization.

💡 Expert Tip: Use Facebook's Experiment Tool to run split tests at scale without audience overlap.

📢 With cookie restrictions and iOS 14 privacy updates, relying on third-party data is no longer enough. First-party data is the future of Facebook advertising.

🔹 Enable Facebook Advanced Matching – Send hashed customer data (email, phone, location) to improve attribution.
🔹 Leverage Offline Conversions API (CAPI) – Track sales that happen outside Facebook (POS, CRM, emails, phone calls).
🔹 Integrate Shopify & CRM Data – Sync customer purchase history, abandoned carts, and product preferences for hyper-targeted ads.
🔹 Build CRM-Based Lookalike Audiences – Create 1%, 3%, 5% Lookalikes from repeat customers & high-value shoppers.

💡 Expert Tip: First-party data beats third-party targeting. Use Facebook’s Conversions API to future-proof your e-commerce tracking.

📢 Scaling ads is not just about increasing budgets. Without the right strategy, scaling leads to higher CPA and ad fatigue.

🔹 Horizontal Scaling: Expand reach by duplicating high-performing ad sets with new audience variations.
🔹 Vertical Scaling: Increase ad budget incrementally by 20-30% every 3-5 days to avoid algorithm reset.
🔹 Budget Scaling with CBO & ABO: Use Campaign Budget Optimization (CBO) for broad audiences and Ad Set Budget Optimization (ABO) for precise control.
🔹 Test New Markets & Geo-Scaling: Expand to international audiences and analyze regional ROAS performance.

💡 Expert Tip: Scaling should be gradual, data-driven, and aligned with audience expansion to prevent CPA spikes.

Most advertisers only use website visitors for retargeting. Elite agencies build advanced high-intent Custom Audiences that convert at a higher rate.

🔹 Engaged Users Who Didn't Convert – Retarget users who clicked ads, watched videos, but didn’t purchase.
🔹 LTV-Based Customer Segments – Create Custom Audiences based on high-value repeat buyers to increase AOV.
🔹 High-Engagement Product Browsers – Track users who spent more than 30 seconds on product pages but didn’t check out.
🔹 Cross-Selling & Upselling Audiences – Retarget users who bought one product but didn’t explore complementary items.

💡 Expert Tip: Layer engagement-based Custom Audiences with AI-driven dynamic ads for maximum ROAS.

Manually testing ad creatives is outdated. Facebook's AI can automatically optimize ad elements for maximum conversions.

🔹 Enable Facebook Dynamic Creative Ads – Facebook AI automatically tests images, headlines, and CTAs to find the best combination.
🔹 Use AI-Generated Audience Signals – Let Facebook's machine learning predict which ad version suits each user best.
🔹 Automated Ad Refreshing – Reduce ad fatigue by letting Facebook’s AI serve fresh creatives to the same audience.
🔹 Combine DCO with CBO for Full Automation – AI-optimized creative + AI-optimized budget = higher efficiency & scalability.

💡 Expert Tip: DCO eliminates the need for manual ad testing, reducing workload while improving performance.

📢 Lookalike Audiences (LAL) work better when stacked and optimized using AI-driven value targeting.

🔹 Lookalike Audience Stacking: Instead of one, combine 1%, 3%, 5%, and 10% Lookalikes for broader reach.
🔹 Value-Based Audiences for E-Commerce: Let Facebook prioritize high-spending users based on past purchase behavior.
🔹 Behavior Segmented Lookalikes: Build LALs from users who bought in the last 30 days vs. last 90 days to optimize retention.
🔹 Exclusion-Based Lookalikes: Prevent wasted ad spend by excluding existing customers from Lookalike campaigns.

💡 Expert Tip: Lookalike Audience Stacking increases efficiency by merging different audience sizes and intent levels.

Get Your Free Marketing Plan

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