Harnessing the full power of AI + Google Ads is a huge opportunity
When it comes to retail, Google Shopping Ads are perhaps a marketer’s most powerful weapon. And optimizing them with AI makes ads even more powerful.
Connecting with consumers by displaying your product ads at the top of their search results is the most effective way to help people discover what’s available in your store. However, you need to connect with those consumers by understanding and capitalizing on the language they actually use when searching.
This is where Lily AI comes in. Here, we’ll take a peek into how to operationalize natural consumer language to connect with consumers via Google Ads. Check out the blog below to learn more, or download our Google Ads Playbook to dive deeper.
Why Google Ads Are A Critical Investment for Retailers and Brands
Connecting to consumers while they search is a critical component of the shopping process. We see exactly how critical this is, in the numbers for retail businesses:
- 31.5% of product searches start on Google, with younger generations searching for products there even more.
- 82% of all current desktop traffic to retailers’ websites is from organic and paid search.
- Businesses using Google Ads see an average ROI of 8:1.
On the consumers’ side, 64% of people use search engines in their “I-want-to-buy” moment, indicating a significant reliance on them during the shopping process.
Ensuring your ads end up at the top of Google when consumers are in that “I-want-to-buy” moment can be done by operationalizing natural consumer language. Here’s how . . .
How High-Performing Product Attributes Help Retailers Win at Google Ads
If you’re investing in Google Ads, you need to ensure that the ads speak consumers’ language. When product listings contain the right language in their attributes, a brand or retailer will meet people at their points of discovery. To optimize product listings and their attributes, Lily AI injects natural customer language throughout a retailer’s inventory, as a means to surface products within Google Ads results.
This natural customer language includes the hottest of-the-moment micro-trends and the latest micro-occasions, but it goes so much further, too. Lily AI’s product taxonomy contains over 25,000 terms that cover:
- Objective Attributes, such as item types and materials
- Subjective Attributes, such as styles and occasions
- Attribute Synonyms, such as “glossy” vs. “high shine”
- Macro and Micro Trends, such as Brat Summer, Modern Farmhouse, or Clean Girl
- Consumer Language Enrichment, such as site search queries or SEO terms
Rich product details that are enhanced with natural consumer language, such as the attributes listed above, are critical to achieving sales via Google.
Advertisers, therefore, need to go above and beyond Google’s required product data fields. They need to include product details like fabric, trends, closures, etc., in order to ensure they’ll surface results for shoppers. Lily AI injects this language quickly, thoroughly, and accurately, maximizing a retailer’s investments in their Google Ads.
Learn How Lily Optimizes Google Ads Performance
Our just-released Google Ads Playbook shows you exactly how to harness consumer language to maximize sales and ROI.
Throughout the book, you’ll get a look at what language goes into a successful Google Ads campaign and how Lily AI automatically applies rich, customer-centric product attribute details to retail catalogs. You’ll also get a look at case studies that demonstrate customer success across categories.
Download the full playbook here or schedule a demo to see how it’ll perform for you.
