The Anyword platform's copy intelligence features are a great asset for Demand Gen Marketers. By layering in our quantitative insights into your creative copywriting process, you can expedite your ad development timelines and launch higher performing campaigns via data-driven decision making.
Here are the key steps to help you get started. Let's take the example of building ad copy for a LinkedIn Ad.
1.) First, integrate your marketing channels into Anyword. This will help you train Anyword's AI on your tone of voice and enable to Anyword to suggest copy based on what has worked well for you and your team in the past.
For example, in the context of writing LinkedIn Ad copy, integrating your LinkedIn Ad account will enable Anyword to develop benchmarking data based on your past campaigns.
2.) Navigate to the Data-driven Editor by clicking on "Create Content" or selecting "Blank Document" from the Home Screen.
3.) Using the left pane to navigate to Anyword's Ads, Email, and Website templates, select the template that is appropriate for your campaign or objectives.
Following through with our example, you should select the LinkedIn Ad template which understands LinkedIn's Ad formats and channel guidelines and will calibrate your predictive performance score to the LinkedIn's platform specifically.
Follow this link for a more comprehensive guide to generating copy in Anyword.
4.) Once you've prompted and generated and copy suggestions, click on the predictive performance score for the copy suggestion you like to view the Insights Panel.
You can also use Anyword's Boost Performance feature to improve copy you directionally like, but want to modify.
5.) The Insights Panel will have more information re: to your copy's score as well as how well it resonates with your Target Audiences' pain points.
Additionally, if you've integrated the appropriate marketing channel, Anyword will also provide a Benchmarking Score that predicts how well this copy is expected to perform in relation to similar campaigns you've run in the past.
In our example, Anyword predicts for this copy to be a top performing ad (ranked #16) among ads you've run on LinkedIn.
Click here, to learn more about Anyword's Benchmarking feature.
6.) If you're planning to edit or play around with the copy suggestions, save the copy suggestions you like to the Document.
From there, you can modify the wording of each copy suggestion and see how these edits impact the copy's predictive performance score.
Because the copy was written for LinkedIn, all edits will also be scored based the copy's performance on LinkedIn.