How conventional marketing automation workflows differ from AI-enhanced marketing automation?

 

Marketing automation.

 

Despite the term, the actual marketing automation process consists mainly of manual work.

Paradoxically, the more personalized you aim your marketing automation to be - that is the more individually targeted and hence delivering better performance – the more the manual labor part intensifies.

With AI-enhanced automation your contacts are no longer treated as segments or personas but as individuals, with individual interests, needs, and wants.

Every action, every activity is executed based on an individual’s behavior. Predictive analytics is used to – well, predict – individual’s behavior and to send the optimal message at the optimal time via the optimal channel to every individual.

It’s what we call creating a segment of one.

When AI is integrated into your marketing automation solution, here’s what happens to your workflows:

 

  Conventional marketing automation AI-based marketing automation
Campaign
planning

 

  • Manual segmentation
  • Scoring models creation and upkeep
  • Manual customer relationship planning
  • Manual product, offering and behaviour analytics

 

  • Automatic  demand-based scoring using individual behavioral and purchase data

 

 

Scheduling & rules

 

  • Manually define target groups
  • Manually create triggers and static rules
  • Manually build and upkeep workflows: Marketing permission yes/no, reads message/not, uses what channel, reacts/no reaction

 

  • AI calculates the content, time and channel optimization based on individual demand: less spam, more relevance
Personalized content management

 

  • Manually create and design templates
  • Manually design each template and it’s content for each channel, segment and workflow phase

 

  • Manually create and design templates
  • AI engine picks the right templates and the right content to send an optimal message to the individual customer
Development & optimization 

 

  • Continous manual tracking and analysis of customer behavior
  • Process optimization of marketing automation workflows and triggers
  • Content optimization 

 

  • AI continuously learns from channels, timing and content optimizing messaging on an individual level

 

Don't change your marketing automation solution. Enhance it. 

 

Say what? 

Exactly. Armstrong One is here not to replace your existing marketing automation solution. 

It's here to add intelligence to it. To supercharge it, if you will. 

You don't have to start the learning curve from the scratch, since you're already familiar with your current solution. 

Nor do you have to do time-consuming migration process. 

So from that standpoint things are looking pretty good, wouldn't you say? 

Especially given that in the future you can focus more on value-add such as branding instead of the menial tasks. And moreover, your personal disalogue efforts are scalable, yielding better results. 

 

Webinar: How to utilize artificial intelligence in marketing?

Watch recording.001