Look, we've all been there. You're running ads on Google, Facebook's got its own dashboard, your email campaigns are in yet another tool, and somehow you're supposed to make sense of how all these channels work together. Spoiler alert: they don't. At least not without the right cross-channel advertising software.
The digital advertising landscape has become ridiculously fragmented. The global cross-channel advertising software market is expected to grow from USD 10.94 billion in 2025 to reach USD 31.75 billion by 2033, and honestly? That explosive growth makes sense. Businesses are tired of juggling fifteen different platforms just to run a cohesive campaign.
Here's the thing about cross-channel advertising software that nobody tells you upfront: it's not just about convenience (though that's nice). Cross-channel advertising software helps businesses advertise across multiple digital advertising channels such as search, display, mobile, social, and video, offering capabilities across three or more of these channels. The real magic happens when your data flows seamlessly between channels, letting you actually understand how a customer goes from seeing your Instagram ad to clicking your search ad to finally converting on your website.
Ready to stop playing channel whack-a-mole? Let's dive into five platforms that actually deserve your attention (and budget) in 2025.
Before we get into the tools themselves, let's talk about why this matters more than ever.
Modern consumers don't live on one platform. They're on TikTok during breakfast, checking LinkedIn at work, scrolling Instagram during lunch, and researching on Google in the evening. The average customer is active on six or more channels, which means your advertising needs to follow them seamlessly.
But here's where most marketers struggle: managing campaigns across multiple platforms means juggling different interfaces, inconsistent data, and zero visibility into the actual customer journey. You're basically flying blind.
Quick clarification because these terms get thrown around interchangeably (and they shouldn't be):
Multi-channel marketing means you're present on multiple platforms, but they operate independently. Think of it like having separate conversations with the same person on different days—no continuity, no context.
Cross-channel marketing means these platforms are connected. Cross-channel marketing employs multiple channels that are all connected to each other, allowing for an easier and more seamless transition from channel to channel, with different channels recording information about the customer and communicating this data between each other. Your Instagram impression informs your email timing, which influences your search ad bid. Everything works together.
Sure, cross-channel software gives you unified reporting and easier campaign management. But the real advantages run deeper:
Stop wasting budget on redundant impressions – Know when someone's already seen your ad three times today across different platforms
Understand actual attribution – Finally answer "which channel actually drove that conversion?"
Personalize at scale – Use behavioral data from one channel to inform messaging on another
Save your sanity – Seriously, one login instead of fifteen
With a Forrester-estimated 275% ROI over three years, investing in proper cross-channel software isn't just smart—it's basically a no-brainer.
If you're managing serious advertising budgets across multiple walled gardens, Skai (formerly Kenshoo) deserves your attention. Skai is an omnichannel advertising platform, uniquely enabling brands and agencies to run data-driven programs across walled garden media.
What's a "walled garden"? Think Amazon, Google, Facebook, Apple—basically the platforms that keep their data locked down tighter than Fort Knox. Skai specializes in connecting these disparate ecosystems into one cohesive view.
Omnichannel Campaign Management: Skai's omnichannel marketing platform connects all walled garden advertising in one place, with data-driven insights, automation, optimization, and measurement solutions, helping marketers manage campaigns across all performance media, including retail media, paid search, paid social, and app marketing.
AI-Powered Optimization: The platform doesn't just track your campaigns—it actively recommends optimizations using machine learning. It allows for the integration of all advertising activity data across retail, social and search channels to manage spend more efficiently, with the ability to create automatic rules to optimise results and perform audits.
Retail Media Mastery: If you're advertising on Amazon, Walmart Connect, or Instacart, Skai has particularly robust features for retail media optimization that go beyond what you'll find in native platforms.
Let's be real: Skai offers pricing tiers for advertisers spending up to $4M per year, up to $10M per year, up to $20M per year, and up to $35M per year. This isn't a tool for solopreneurs testing the waters. It's built for mid-market to enterprise brands and agencies managing complex, high-budget campaigns.
The average cost for Skai software is about $160,000 annually, which sounds steep until you realize that optimizing millions in ad spend justifies the investment pretty quickly.
Learning Curve: Multiple reviews mention that the setup for Skai did take several months to link & integrate client accounts, and there is a bit of a steep learning curve with the platform because of all the features. You'll need dedicated team members who can master the platform.
Complexity: The flip side of having tons of features? Sometimes it feels overwhelming. Users noted the inability to save lookback comparisons limiting, and sometimes the API connection can have problems that temporarily make the platform unreliable, though this is very rare.
But if you're serious about cross-channel optimization at scale, the investment pays off. Renowned brands such as Reckitt, Doordash, Sony, Philips, and L'Oreal
trust Skai for a reason.
Here's a tool that doesn't get as much buzz as it should. Blueshift takes a different approach by combining a Customer Data Platform (CDP) with cross-channel campaign execution and genuinely impressive AI capabilities—all in one unified platform.
Blueshift's Intelligent Customer Engagement Platform turns first-party data into real-time omnichannel engagement, combining a native CDP with predictive and agentic AI to personalize every interaction across your customers' favorite channels.
Most platforms talk about AI, but Blueshift implements what they call "agentic AI"—basically, AI that can take autonomous actions, not just make recommendations. It automates and scales your marketing with AI to segment customers, choose the best channels to reach them, and send relevant messages at optimal times, with AI Agents to reduce time to optimize your campaigns.
Translation? The platform doesn't just tell you "hey, maybe send this email at 2pm." It actually does it for you based on when individual customers are most likely to engage.
The proof is in the performance metrics: With Blueshift's AI marketing platform, customers see +41% higher engagement and 22% increase in sales. That's not marginal improvement—that's significant revenue impact.
Users report 2× faster launches with data, channels, and AI in one platform, $128M in incremental revenue growth, and 60% higher CTR with built-in predictive, generative, and agentic AI.
Unlike some platforms that focus purely on paid advertising, Blueshift takes a holistic approach: All major channels including email, SMS, push notifications, in-app messages, web personalization, and paid media. This means you can coordinate your entire customer journey, not just your paid ad strategy.
Mid-market brands and D2C companies that want enterprise-level personalization without needing a team of data scientists. The platform is designed to be user-friendly, enabling marketing teams to launch sophisticated campaigns and effectively measure their business impact without requiring specialized technical skills.
Initial Setup Investment: The integration and setup process can be time consuming and demanding of significant resources, with the product being expensive so small businesses can't afford the budget. You'll need commitment upfront.
Learning Curve: The learning curve can be steep for new users, and it takes time to fully grasp all the features and get the most out of the platform. But based on user reviews, the support team is exceptionally helpful during onboarding.
The bottom line? If you're ready to leverage AI for true personalization at scale, Blueshift delivers impressive capabilities that bigger-name competitors charge significantly more for.
Insider is a platform that facilitates individualized, cross-channel experiences, with its core principle lying in enabling enterprise marketers to interconnect customers' data across different channels and systems, using an AI intent engine to predict future consumer behavior.
The standout feature? Insider's AI doesn't just look at what customers have done—it predicts what they're about to do. This predictive capability lets you get ahead of customer needs rather than just reacting to past behavior.
The platform delivers experiences across various channels such as Web, App, Web Push, Email, SMS, and Messaging Apps. But it's not just about having these channels—it's about how Insider unifies the experience across them.
You can effortlessly manage cross-channel marketing from one platform, connecting with customers across every touchpoint to deliver a seamless, unified experience.
Here's where Insider gets interesting: their AI doesn't just segment based on demographics or past purchases. It builds predictive models around intent. Is this visitor just browsing, or are they in "I'm ready to buy" mode? The platform adjusts messaging and offers accordingly, in real-time.
Insider connects data from your different channels, creates a single view of the customer, predicts future behavior with AI, and allows you to deliver personalized experiences – all from a single platform with the fastest time to value.
Insider extends services to a wide range of global businesses, covering various sectors like retail, automotive, and travel, among others. This cross-industry experience means the platform doesn't make assumptions about how your specific business should market—it adapts.
Enterprise marketers who need sophisticated personalization across web and app experiences, not just paid advertising. If your business has a significant mobile app component or relies heavily on website personalization, Insider's capabilities shine.
Pricing isn't publicly listed, which typically means "if you have to ask..." But for enterprises with complex personalization needs across multiple customer touchpoints, the investment often justifies itself through improved conversion rates and customer lifetime value.
The platform is feature-rich, which means there's a learning curve. Plan for adequate training time and potentially working with Insider's professional services during implementation.
Iterable is an AI-powered customer communication platform built for moments-based marketing, using real-time behavioral data and automation to support personalized customer experiences, with features for data activation, message orchestration, and personalization.
What makes Iterable special? It's built specifically for growth marketers—the folks who live and breathe activation, retention, and lifecycle optimization. This isn't a traditional "set it and forget it" advertising platform. It's designed for teams that iterate constantly (hence the name).
Here's a pain point most marketers know too well: "We need engineering help to connect our data warehouse." Smart Ingest enables teams to connect cloud data warehouses without engineering support.
For non-technical marketers, this is huge. You can actually use your company's rich data without submitting a Jira ticket and waiting three weeks.
Iterable helps marketing teams build coordinated, data-driven communication strategies by delivering cross-channel experiences across email, SMS, mobile push notifications, in-app messaging, and web.
The platform excels at workflow automation—think abandoned cart sequences that adapt based on what the customer does next, welcome series that branch based on first actions, or re-engagement campaigns that pause automatically when someone converts.
Customer success stories pack a punch: The Athletic drove a 127% boost in email click rates, while companies saw a 50% lift in converted subscribers using data-driven personalization and scalable execution.
B2C companies with subscription models, e-commerce businesses focused on lifecycle marketing, and mobile apps that need sophisticated user journey orchestration. If you're thinking about customer journeys in terms of "moments" rather than just campaigns, Iterable's your jam.
Iterable is powerful but requires strategic thinking. You'll get the most value if you have someone on your team who really understands customer lifecycle marketing and can design sophisticated journey logic. It's not the most intuitive platform for beginners.
Also, while it handles paid media integration, Iterable's sweet spot is owned channels (email, push, SMS, in-app). If paid advertising is your primary focus, other tools on this list might be better fits.
Let's talk about AdRoll—probably the most accessible tool here for smaller businesses and growing brands. AdRoll is a connected advertising platform built for growth-minded marketers, with powerful AI, flexible campaign tools, and seamless integrations helping mid-sized businesses.
Is it as feature-rich as Skai? No. Does it have the AI sophistication of Blueshift? Not quite. But here's what AdRoll does exceptionally well: it makes cross-channel advertising actually accessible to businesses that don't have $200K+ software budgets.
Retargeting That Actually Works: AdRoll built its reputation on retargeting, and they're still excellent at it. AdRoll software is a platform to gain insights with cross-channel reporting and build better customer experiences, offering tools for contextual targeting, demographic and interest targeting to measure brand campaigns.
Cross-Channel Reach: You can run display ads, social ads (Facebook, Instagram, TikTok), and email campaigns from one dashboard. Not every channel under the sun, but the ones that matter most for most businesses.
Transparent Pricing: Unlike enterprise platforms that require sales calls for pricing, AdRoll's plans are straightforward. You can actually see what you're paying for.
Reviewers appreciate the user-friendly interface, the ability to run multiple campaigns, the helpful customer support, and the detailed reporting provided by the platform, though some experienced issues with slow data reflection and occasional glitches in reporting.
The platform won't win any awards for sophistication, but for teams that need to get campaigns running quickly without extensive training, AdRoll delivers.
E-commerce brands doing $500K-$10M annually
Marketing teams of 1-5 people who need efficient tools, not enterprise complexity
Businesses new to cross-channel advertising that want to test the waters without massive investment
Agencies managing small to mid-sized clients who need clean reporting and reliable performance
AdRoll isn't trying to be everything to everyone, and that's actually its strength. If you're managing $50M in annual ad spend across twelve different channels, look elsewhere. But if you need solid retargeting, straightforward social advertising, and email integration that doesn't require a PhD to operate, AdRoll deserves serious consideration.
The limitations? Some users experienced issues with slow data reflection, occasional glitches in reporting, limitations in targeting and audience matching, and a steep learning curve for some features. But for the price point, these are reasonable trade-offs.
Look, every platform sounds amazing in demos. But here's what actually matters:
1. Where do your customers actually spend time? If 80% of your revenue comes from Google and Facebook ads, you don't need a tool that supports eighteen channels. Focus on excellence in the channels that matter.
2. What's your data situation? Be honest: Is your data clean, unified, and accessible? Or is it scattered across systems that don't talk to each other? Some platforms (like Blueshift and Insider) include robust CDPs that solve this. Others assume you've already got data figured out.
3. What's your team's technical capability? Ease of use and vendor support can make or break adoption, so check user reviews for UI intuitiveness, availability of onboarding, training, and consulting, whether you get a dedicated account manager or generic support, and responsiveness and expertise of customer support teams.
Pricing varies widely for cross-channel marketing platforms, so understand whether costs are based on contacts, messages sent, modules used, or a combination, overage fees and how they're applied, how pricing scales as you grow, and the ROI potential.
Don't just look at the sticker price. Calculate:
Implementation costs (time + consulting)
Training investment
Ongoing management resources
Expected efficiency gains
Projected performance improvements
Sometimes the "expensive" platform actually costs less when you factor in the people-hours saved.
Your cross-channel platform needs to play nice with:
Your CRM
Your analytics tools
Your data warehouse (if you have one)
Your e-commerce platform
Any other marketing tech you're not willing to replace
Don't assume integrations work smoothly just because they're listed. Ask for proof, request demos with your actual data, and talk to reference customers with similar tech stacks.
We're barely scratching the surface of what AI can do for cross-channel advertising. The integration of cross-channel advertising software with advanced technologies like AI and ML is estimated to create opportunities for global market expansion.
The platforms investing heavily in AI now (like Blueshift and Skai) will have significant advantages as these capabilities mature. Predictive analytics, automated optimization, and generative content creation are moving from "nice to have" to "competitive necessity."
Data privacy and consumer consent concerns are escalating, with regulations such as GDPR in Europe and CCPA in the United States becoming increasingly stringent, confronting advertisers with stricter requirements for obtaining and utilizing consumer data.
The platforms that figure out how to deliver personalization without relying on third-party cookies and invasive tracking will win. First-party data strategies aren't optional anymore—they're essential.
Despite everyone complaining about walled gardens, they're not going anywhere. Marketers are tasked with connecting insights and execution across walled gardens in an automated and holistic manner—a laborious and error-prone undertaking.
This makes platforms that specialize in connecting these ecosystems (like Skai) increasingly valuable. The challenge isn't getting easier—it's getting harder.
Here's the truth: most businesses are way behind on cross-channel advertising sophistication. 92% of marketing leaders believe delivering a consistent experience across online and offline channels is crucial for success, yet 76% of B2C brands struggle to activate their offline data for cross-channel marketing, and 62% have experienced delayed campaign launches due to siloed data and inflexible systems.
That's simultaneously frustrating and opportunistic. If your competitors haven't figured this out yet, implementing proper cross-channel advertising software gives you a legitimate competitive advantage.
The platforms we've covered here—Skai, Blueshift, Insider, Iterable, and AdRoll—each solve the cross-channel challenge differently. There's no universal "best" choice. There's only the best choice for your specific situation.
Start by honestly assessing:
Your current ad spend and channels
Your team's capabilities
Your data infrastructure
Your budget reality
Your growth trajectory
Then match those realities against what each platform does best. Request demos that focus on your use cases, not generic capabilities. Talk to reference customers in your industry. And please, don't just go with the biggest name or the cheapest option by default.
Cross-channel advertising software is a digital tool designed to streamline and optimize advertising campaigns across various online channels, enabling marketers to manage and coordinate their advertising efforts across social media, search engines, and display networks. Done right, it transforms how you reach customers and dramatically improves ROI.
Stop managing campaigns in silos. Stop accepting disconnected data. Stop guessing which channels actually drive results.
It's 2025. Your customers expect better. Your CFO demands better. And frankly? You deserve tools that actually work together.
Cross-channel advertising connects multiple advertising channels so they share data and coordinate campaigns. Cross-channel marketing employs multiple channels that are all connected to each other, allowing for easier and more seamless transition from channel to channel. Omnichannel advertising takes this further—it's cross-channel plus interactivity and real-time bidirectional data flow. Channels simultaneously exchange information about customers and come together to create a seamless, comprehensive experience across all channels that allows for maximum engagement. In practice? If your Instagram ad knows someone abandoned their cart and adjusts messaging accordingly, that's cross-channel. If the experience adapts in real-time as customers move between channels and your in-store experience is coordinated with your digital presence, that's omnichannel.
It varies wildly. AdRoll starts under $100/month for smaller advertisers. Enterprise platforms like Skai and Blueshift typically run $100K-$250K+ annually for mid-market to enterprise companies. The better question: what's the ROI? Cross-channel ads delivers a Forrester-estimated 275% ROI over three years. If you're spending $1M+ annually on advertising, a $150K platform investment that improves efficiency by 15% pays for itself.
Not necessarily. Some cross-channel platforms like Blueshift and Insider include robust CDP functionality built-in. Blueshift includes a native CDP at its core, so you're not buying separate systems. Others assume you'll bring your own data infrastructure. Evaluate whether the platform you're considering includes data unification capabilities or requires you to have that figured out separately.
Focus on where your customers are, not every channel that exists. Cross-channel advertising software helps businesses advertise across multiple digital advertising channels such as search, display, mobile, social, and video, offering capabilities across three or more of these channels. For most B2C businesses, essential channels include: -Paid search (Google, Bing) -Paid social (Facebook, Instagram, TikTok) -Display advertising -Email -SMS (increasingly important) B2B companies might prioritize LinkedIn, paid search, and account-based display differently than D2C e-commerce brands focusing on Instagram and TikTok.
Simple implementations (AdRoll, simpler use cases): 2-4 weeks Mid-complexity (Iterable, standard features): 1-3 months Enterprise deployments (Skai, Blueshift with full CDP): 3-6 months Setup can take several months to link & integrate client accounts, and there is a bit of a steep learning curve, particularly for enterprise platforms with extensive capabilities. Factor in time for data cleaning, integration testing, team training, and campaign migration. Rush it and you'll regret it.
Absolutely, but choose wisely. Enterprise platforms with six-figure price tags don't make sense for most small businesses. But tools like AdRoll offer genuine cross-channel capabilities at accessible price points. Leveraging cross-channel advertising software provides companies access to a wider variety of audiences and allows advertisers to take advantage of each channel's unique benefits. Even small businesses advertising on 3-4 platforms benefit from unified management and reporting. Start with what you can manage effectively rather than trying to be everywhere at once.
This is where cross-channel platforms really shine. Cross-channel advertising software enables advertisers to bring together a complete picture of customer data, helping them understand how ads are performing, and how users are reacting on different channels to their ads. Good platforms offer multi-touch attribution models that show how each channel contributes to conversions—not just last-click attribution that over-credits bottom-funnel activities. Expect options for: -First-touch attribution -Last-touch attribution -Linear attribution (equal credit) -Time-decay attribution -Position-based attribution -Custom algorithmic models The sophistication varies significantly between platforms. Enterprise options (Skai, Insider) typically offer more advanced attribution modeling than entry-level tools.

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