Remember when digital advertising meant throwing up a Facebook ad and praying to the algorithm gods? Those were simpler times. Now your customers are scattered across streaming platforms, browsing websites, watching YouTube on their smart TVs, and completely ignoring your Instagram Stories.

Here’s the thing: most marketers are still stuck in 2019, pumping money into social media channels while ignoring the massive opportunity sitting right in front of them. Your customers aren’t just on Facebook anymore – they’re everywhere. And the brands winning today aren’t the ones with the biggest social media budgets; they’re the ones smart enough to meet customers wherever they’re spending their time.

This is your complete guide to modern digital advertising, from mastering social media fundamentals to scaling across programmatic channels that most of your competitors don’t even know exist. Let’s turn your single-channel strategy into an omnichannel machine.

Let’s start with the foundation: social media advertising that doesn’t suck.

How to Advertise on Social Media (The Strategic Approach)

Social media advertising isn’t just “boost this post and see what happens.” It’s about creating systematic campaigns that turn social browsing into actual business results.

Platform-Specific Strategies That Work

Facebook & Instagram Ads:

  • Advantage+ campaigns for broad targeting with machine learning optimization
  • Video creative that stops the scroll within the first 3 seconds
  • Retargeting sequences that move people through your funnel systematically
  • Creative testing across multiple formats, audiences, and placements

TikTok Ads:

  • Native-feeling content that doesn’t scream “advertisement”
  • Spark Ads that amplify your organic content
  • Interest-based targeting over demographic assumptions
  • Short-form video that delivers value before the pitch
Social media advertising isn’t just “boost this post and see what happens.” It’s about creating systematic campaigns that turn social browsing into actual business results.

LinkedIn Ads:

  • Conversation starters over direct sales pitches for B2B
  • Video content that establishes thought leadership
  • Account-based targeting for high-value prospects
  • Lead gen forms that capture professional contact information

YouTube Ads:

  • Skippable video ads that deliver value even if people skip
  • YouTube Shorts integration for mobile-first audiences
  • In-stream placement on relevant channels and videos
  • Custom intent audiences based on search behavior

The Targeting Evolution: Beyond Demographics

Here’s where most social media advertising goes wrong: marketers target who they think their customers are instead of how their customers actually behave.

Old approach: “Women aged 25-45 interested in fitness.”

New approach: “People who visited fitness websites, watched workout videos, and searched for protein powder in the last 30 days.”

The difference? Behavioral targeting beats demographic guessing every time.

What is a Lookalike Audience?

A lookalike audience is a group of new users who share similar characteristics, behaviors, and interests with an existing audience, such as your current customers or email subscribers.

As an example, on Facebook, a lookalike audience is created when you upload a custom audience (for example, your top 2,000 customers), and Facebook’s algorithm finds new people on the platform who closely resemble those customers.

Lookalike audiences are how you turn your best customers into a roadmap for finding more people just like them. Instead of guessing who might want your product, you let the platform’s algorithms or AI find people who behave similarly to your existing buyers.

How Lookalike Audiences Actually Work

Instead of just targeting the same people over and over again, a lookalike audience takes an existing target audience as a “seed,” analyzes their patterns, and then builds a new audience of people who aren’t on your list but share similar traits.

The process of building a lookalike audience looks something like this:

  1. Upload your “seed” customer list (emails, phone numbers, or website visitors)
  2. The platform analyzes common characteristics and behaviors
  3. AI finds new people who match those patterns
  4. You target this “lookalike” audience with your ads

The magic: You’re not targeting random people who fit a demographic profile. You’re targeting people who look and act like customers who have already given you money.

an example of a lookalike audience from a customer data set

Strategies and Tips For Running Lookalike Audience Campaigns

Running successful lookalike audience campaigns starts with choosing the right source data and being intentional about how you build and refine your targeting.

By focusing on high-value customer segments, testing multiple similarity percentages, and layering additional filters like location or interests, you can ensure your ads reach people most likely to convert.

The key is to remember that the quality of your lookalike audience depends entirely on the quality of the data you feed into it. Stronger source audiences create stronger results.

Segment your source audiences:

  • High-LTV customers (not just any customers)
  • Recent purchasers (within the last 90 days)
  • Repeat buyers (loyalty indicators)
  • High-engagement website visitors (quality traffic)

Test different similarity percentages:

  • 1% lookalikes: Highest similarity, smaller reach
  • 5% lookalikes: Balanced similarity and scale
  • 10% lookalikes: Broader reach, less precise targeting

Layer additional targeting:

  • Geographic constraints for local businesses
  • Interest overlays for niche products
  • Behavioral signals for purchase intent

Pro tip: Your lookalike audiences are only as good as your source data. Garbage in, garbage out. This is where having rich customer data becomes a competitive advantage.

How to Advertise on Streaming Platforms (Where Attention Actually Lives)

While you’re fighting for attention in crowded social media feeds, your customers are binge-watching Netflix, streaming live sports, and consuming hours of content on platforms where your competitors aren’t advertising yet.

The Connected TV and Streaming Opportunity

Connected TV and streaming ads give marketers the ability to reach highly engaged audiences at scale with the precision of digital targeting and the impact of traditional television.

The stats that matter:

Translation: More attention, better recall, lower costs. This is where smart money is moving.

While you’re fighting for attention in crowded social media feeds, your customers are binge-watching Netflix, streaming live sports, and consuming hours of content on platforms where your competitors aren’t advertising yet.

Streaming Advertising Platforms

Streaming advertising platforms provide brands with direct access to premium content and diverse audiences, combining the reach of television with the targeting power of digital.

netflix logo

Netflix Ads

Premium content, highly engaged audiences, sophisticated targeting options

hulu logo

Hulu Ads

Mix of current TV shows and original content, strong demographic targeting. → Learn how to advertise on Hulu

youtube tv logo

YouTube TV Ads

Live TV streaming with traditional TV inventory at digital prices

prime video logo

Amazon Prime Video Ads

Shopping-intent audiences with purchase behavior data

disney plus logo

Disney+ Ads

Family-focused content with brand-safe environments.

Connected TV Networks: Access to premium inventory across multiple streaming services. Learn more about serving CTV campaigns with Untitled below.

Launch CTV Campaigns with Untitled

Streaming Advertising Best Practices

Effective streaming advertising combines high-quality creative with precise targeting strategies to maximize attention, engagement, and measurable business outcomes. Here is a list of some of the best practices:

Creative that works:

  • 15-30 second spots that deliver complete messages (people can’t skip)
  • High production value that matches the content quality
  • Clear CTAs that drive specific actions
  • Brand integration that feels natural, not intrusive

Targeting advantages:

  • Household-level targeting instead of individual cookies
  • Purchase behavior data from streaming service subscriptions
  • Content-based targeting (advertise on cooking shows for kitchen products)
  • Dayparting optimization based on viewing patterns

Transform your customer data into
revenue-driving audiences with Untitled

Adopting Programmatic Advertising Foundations (The Automated Buying Revolution)

Programmatic advertising sounds complicated because it kind of is. But that complexity is exactly why it works so well. Instead of manually negotiating ad placements, you’re using AI to buy the best inventory at the optimal price in real-time.

→ Learn more: What is programmatic advertising?

Programmatic Advertising Simplified

What it is: Automated ad buying that uses data and algorithms to purchase digital ad space in real-time auctions.

What it’s not: A specific ad platform. It’s a way of buying ads across thousands of websites, apps, and streaming services simultaneously. Typically, companies buy programmatic media through a demand-side platform (DSP). Learn more: What is a demand-side platform?

Why it matters: You can reach your target audience wherever they are online, not just on the platforms where you’ve manually set up campaigns.

Types of Programmatic Buying

  • Real-Time Bidding (RTB): Open auctions where you compete with other advertisers for individual ad impressions
  • Private Marketplace (PMP): Invitation-only auctions with premium publishers and guaranteed inventory quality
  • Programmatic Direct: Direct deals with publishers at fixed prices, but executed through programmatic technology
  • Programmatic Guaranteed: Reserved inventory with guaranteed impressions at negotiated rates

Programmatic Targeting Capabilities

  • First-party data activation: Use your customer lists across thousands of websites and apps
  • Behavioral targeting: Reach people based on their browsing history and online actions
  • Contextual targeting: Place ads on websites and content relevant to your products
  • Geographic targeting: Location-based campaigns down to specific zip codes
  • Device targeting: Optimize for mobile, desktop, tablet, or connected TV viewing
  • Lookalike modeling: Extend your best audiences across the entire programmatic ecosystem

The Tech Stack That Makes Omnichannel Marketing Actually Work

Here’s the dirty secret about modern digital advertising: the platforms are amazing, but they don’t talk to each other. Your Facebook audience data lives in Facebook. Your Google audience data lives in Google. Your email data lives in Klaviyo. Your customer data lives in Shopify.

The result? You’re running disconnected campaigns with incomplete customer pictures.

Defining Omnichannel Marketing

Omnichannel marketing is a strategy that creates a seamless, consistent customer experience across all marketing channels and touchpoints. Instead of treating each channel (like email, social media, paid ads, or in-store interactions) as separate, omnichannel marketing connects them so customers can move smoothly between platforms without losing context.

For example, a shopper might browse a product on your website, see a reminder ad on Facebook, receive a personalized email retargeting follow-up, and then complete the purchase in your mobile app, all with consistent messaging and branding.

The goal of omnichannel marketing is to meet customers where they are, provide a unified brand experience, and ultimately increase engagement and conversions. However, without a tech-stack that unlocks the touchpoints needed, omnichannel marketing may not be possible.

The Data Problem in Omnichannel Marketing

The challenges most marketers face with omnichannel marketing:

  • Customer data is scattered across multiple platforms
  • Audiences can’t be shared between channels
  • No unified view of customer behavior
  • Attribution nightmares exist across touchpoints
  • Ad spend is being wasted on targeting the same people multiple times

The solution: data infrastructure that connects all your channels and audiences.

customer segmentation with untitled for omnichannel marketing

How Untitled Solves the Omnichannel Challenge

The challenges faced by marketers trying to conduct omnichannel marketing are the reasons we built Untitled. Our product gives marketers a unified data layer that makes omnichannel advertising actually work.

Untitled provides marketing professionals with the following tools:

Customer Identity Resolution:

AI-Powered Audience Modeling:

  • Build lookalike audiences that work across all advertising platforms
  • Predict customer lifetime value for smarter acquisition targeting
  • Identify high-intent prospects before they become customers
  • Segment customers and audiences by behavior, not just demographics

Omnichannel Marketing Activation:

Programmatic Advertising Access:

  • Leverage our built-in DSP for accessing premium programmatic inventory
  • 50-70% lower CPMs compared to walled garden platforms
  • Advanced targeting using your first-party data
  • Transparent reporting with full campaign visibility

Your Step-by-Step Omnichannel Advertising Roadmap

Ready to expand beyond single-channel advertising? Here’s your systematic approach:

a computer screen in 16-bit showing facebook ads open with lookalike audiences generated by untitled

Phase 1: Master Your Foundation (Weeks 1-2)

  1. Audit your current social media advertising performance
  2. Set up proper tracking and attribution across all channels
  3. Build high-quality lookalike audiences from your best customers
  4. Implement identity resolution to capture anonymous visitors
a 16-bit image showing live streaming the NFL on youtube tv

Phase 2: Expand to Streaming (Weeks 3-4)

  • Test connected TV campaigns with your proven social media creative
  • Start with one streaming platform to learn the fundamentals
  • Use behavioral targeting based on your social media insights
  • Measure incremental reach and brand lift
a 16-bit image showing a computer screen with the untitled dsp open. campaign performance is trending upwards in a positive direction

Phase 3: Enter Programmatic (Weeks 5-6)

  • Launch display and video campaigns using your customer data
  • Test different programmatic buying strategies (RTB vs. PMP)
  • Expand your lookalike audiences across the programmatic ecosystem
  • Optimize based on performance data and audience insights
a 16-bit image showing a computer screen with a sales dashboard reporting a 100% increase in revenue attributed to the untitled dsp

Phase 4: Optimize and Scale (Ongoing)

  • Use unified reporting to identify your highest-performing channels
  • Allocate budget based on true incremental performance
  • Continuously test new channels and audience strategies
  • Build feedback loops between channels for maximum efficiency

The Future of Digital Advertising is Omnichannel

The days of putting all your advertising eggs in the Facebook and Google basket are over. Your customers are consuming content across dozens of platforms and devices. The brands that win are the ones that can meet customers wherever they are with relevant, personalized messages.

But omnichannel advertising only works when you have the data infrastructure to support it. Without unified customer profiles, cross-channel attribution, and seamless audience activation, you’re just running disconnected campaigns and hoping they add up to something meaningful.

Untitled bridges that gap. We give you the customer intelligence and audience activation capabilities to turn omnichannel from marketing buzzword into competitive advantage.

Instead of wondering whether your social media ads are reaching the same people as your programmatic campaigns, you can orchestrate unified customer journeys across every digital touchpoint.

👉 Try it free today for 14 days and see how much easier it is to scale your advertising beyond social media.

Nick Hertzman

Author Nick Hertzman

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