Day 5 - Top AI Apps for Building Data-Driven Omnichannel Ad Media Plans
The world of advertising media plans is no stranger to evolution. AI, is the latest powerful force reshaping how agencies and clients approach campaign strategy and execution. The following are an example some of the top AI applications that can supercharge your omnichannel media planning process:
Omnichannel Campaign Management & Orchestration:
· Bynder:
o What it Delivers: This platform acts as a central hub for managing marketing assets (images, videos, documents), campaigns, and workflows across all channels (online, offline, social media, email).
o Goal: Streamline creative development, approval processes, and omnichannel campaign execution.
o Cost: Paid subscription model with tiered pricing based on storage space, users, and features.
o Data Needed: Existing marketing assets, campaign details (objectives, target audience, channels), and team collaboration information.
· Locomotive:
o What it Delivers: This AI hub analyzes audience data and campaign performance across various channels (online, offline, social media, email). It recommends the optimal media mix to achieve your marketing goals.
o Goal: Develop and execute seamless, data-driven campaigns that reach your target audience across all touchpoints.
o Cost: Paid subscription model with tiered pricing based on data volume, campaign complexity, and features offered.
o Data Needed: Historical campaign data from all channels (online and offline), target audience information, and your overall marketing goals.
· Marketo Engage:
o What it Delivers: This comprehensive suite offers omnichannel marketing automation, including email marketing, social media marketing, landing page creation, and lead nurturing.
o Goal: Create personalized customer journeys across various touchpoints to nurture leads and drive conversions.
o Cost: Paid subscription model with tiered pricing based on features, number of contacts, and campaign volume.
o Data Needed: Customer data (email addresses, demographics, interests), website visitor data, and campaign goals.
Data & Analytics:
· Domo:
o What it Delivers: This unified data platform integrates data from online and offline sources, providing a single view of customer interactions across all touchpoints.
o Goal: Empower data-driven decision making by offering insights into campaign performance and customer behavior across channels.
o Cost: Paid subscription model with tiered pricing based on data volume, the number of users, and desired features.
o Data Needed: Data from various sources (CRM, website analytics, social media platforms, loyalty programs).
· Tealium:
o What it Delivers: This customer data platform (CDP) centralizes audience data from various sources (website, mobile app, CRM, social media) and creates unified customer profiles.
o Goal: Facilitate audience segmentation and personalization across all marketing channels by providing a holistic view of each customer.
o Cost: Paid subscription model with tiered pricing based on data volume, number of integrations, and desired features.
o Data Needed: Customer data from various marketing channels (website, email, social media, CRM).
Content Management & Personalization:
· Adobe Experience Manager (AEM):
o What it Delivers: This platform allows creating, managing, and delivering personalized content across channels (websites, mobile apps, email) based on audience data and preferences.
o Goal: Optimize content for different channels and deliver personalized user experiences that resonate more effectively.
o Cost: Paid subscription model with tiered pricing based on features, content volume, and server resources.
o Data Needed: Existing website content, brand assets, and audience data (demographics, interests, behavior).
· Flashtalking:
o What it Delivers: This AI tool tailors ad creatives for omnichannel delivery. It automatically generates variations of your ads (banners, social media posts, video ads, even print layouts) based on audience data and channel specifications.
o Goal: Ensure consistent brand messaging while delivering personalized ad experiences across all channels.
o Cost: Paid subscription model with tiered pricing based on data usage, the number of creative variations generated, and campaign complexity.
o Data Needed: Existing creative assets (different formats for online and offline channels), target audience data, and brand guidelines.
· Persado:
o What it Delivers: This AI-powered tool generates personalized marketing copy and landing pages based on audience data and psychological insights.
o Goal: Craft targeted messages that evoke emotions and drive higher engagement and conversions.
o Cost: Paid subscription model with tiered pricing based on features, usage volume, and number of languages supported.
o Data Needed: Existing marketing copy examples, target audience
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Marion Z Murphy
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Day 5 - Top AI Apps for Building Data-Driven Omnichannel Ad Media Plans
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