Automated Ad Creation
Save time while maintaining consistency with automated creation of text ad variants tailored for different platforms, brand variants, and contexts using AI.
A large digital initiative may consist of over a hundred placements, both in search engine and display advertising. And while the overarching idea is consistent across all of them, you need to highlight different qualities of your product depending on the context.
Ads targeting top-of-funnel, broad category searches, would be different from, say, ads targeting competitors' brand names, or targeting specific price levels, e.g., “cheap”. Display ads targeting a known audience and context, would be different from the one for broad audience. Also, each platform has its own formatting requirements and places specific restrictions on ad content, such as separation of headings and descriptions, lengths, etc.
Combine all of these variations together, and you have a lot of tedious work that requires both diligence and intelligence to complete.
Imagine having an assistant with mastery of language, generating ads at 100x human speed. AI systems like ChatGPT, when provided with product details, competitors, and desired ad styles, create targeted, concise ads optimized for platform constraints.
This sounds easy, if only you could combine all those variables to create briefs for ad generation. What complicates this is that a different set of variables can be used for every brand.
Your digital account likely uses composite campaign and placement names, constructed from these individual variables using naming conventions. Perhaps, right now these naming conventions only exist in spreadsheets or in someone’s head.
InContekst lets you codify them on the system and assign brief elements to each value. For example, you can record that competitor XYZ is a budget brand, while competitor ABC focuses on customer service. It then combines all the different elements to create ad briefs. Each brief will be assigned a name in accordance with the naming convention and passed to ChatGPT AI, and the ad generated will be recorded on the database, linked to its generating variables.
Ads can be extracted, edited, and uploaded manually or programmatically. Using our reporting platform, you can analyze performance by variables, e.g., competitor-focused ads vs. price promotions, uncovering actionable insights.