Make people SEE and REMEMBER the brand
Get people to UNDERSTAND and
WANT the brand
Change people's BEHAVIOR and
get them to CONVERT
Take care of people to CONVERT OFTEN and
ADVOCATE the brand
This is one post in a series on Artificial Intelligence’s implications on marketing, analytics, and you. We will cover a definition of AI, what it means for marketers, marketing applications, and how to implement AI technology in your company.
AI FOR PROGRAMMATIC ADVERTISING
Developing relevant messaging is the first step in running a successful advertising campaign.
Next, you want to make sure messages appear in the right context. You wouldn’t try to sell sunscreen when it’s raining or umbrellas when it’s sunny. You also don’t want to advertise a product to someone who has just purchased it.
As in the Target case, brands can use artificial intelligence to serve more relevant, targeted messages in the right places, at the right times.
Marketers simply input buyer segments, campaign parameters, such as targets, KPIs (like CTR, ROI, impressions, etc.), and advertising budget and AI finds the appropriate placements for ads.
It can adjust placement and spend based on real-time responses.
Additionally, if the computer is given different customer segments with varying lifetime values (CLV), AI can adjust bidding strategies and spend more for higher-value target customers.
Emarsys CMO, Allen Nance, agrees AI will increase creativity in marketing. In Why Emarsys' marketing chief thinks AI will trigger a creative response, he says, with the adoption of artificial intelligence “marketers are going to gain the opportunity to go back to strategy, content and creative,” letting AI do the hard work.
Case Study: Cosabella Ditches Marketing Agency for AI
Lingerie brand Cosabella was seeing diminishing returns from their agency’s campaigns, so they decided to consider other options. Instead of hiring a new agency or bringing resources in-house, they decided to use artificial intelligence. After a brief teaching period, where they gave it parameters for targeting and KPIs, they left the AI to itself.
The results were impressive
“After three months with [the AI] Albert, Cosabella saw a 336% increase in return on ad spend. In Q4, revenues increased 155% and the brand saw 1,500 more transactions year over year, 30% of which came from new customers. In Albert’s first month, Cosabella decreased costs by 12% by increasing returns by 50%."
Cosabella’s team was able to turn insights into action and spend more time working on more creative strategies.
Source: Erin O'Bannon from meetcortex.com