The Personalization process is so simple, fast, and intuitive that anyone can execute it. You do not need any technical or design knowledge to set up a Personalization campaign. Whether you are wanting to set a rule-based Behavioral Targeting campaign, and Define who is the target audience and what personalized changes they are going to see, or if you are wanting to set a Dynamic Personalization campaign, where recommendations for products/content/videos are generated dynamically by artificial intelligence algorithms, based on a combination of individual visitor interests and crowd wisdom of all your visitors, either way the overall campaign structure will be the same. If you know who your target audience is and what you would like them to see, you can create a campaign in Personyze.
The first step in creating a personalization campaign is to choose who will be the visitor segment who will see the personalized changes (whether content or marketing messages uniquely for them, or a recommendation widget with your chosen AI recommendations algorithm) you create in your campaign.
You choose your target audience by setting a list of rules and conditions that needs to be met during a visitor session on the site for the visitor to be part of the campaign and to see the personalized content.
There are over 70 visitor characteristics to use for targeting visitors, such as Geographic Location, Search Engine or Campaign Referral, Ranked User Interests, Weather Conditions and Forecast, Social media profile data, Real-time Behavioral data, CRM Data, Etc.
The rules are connected to each other with OR, AND relation for flexibility and powerful targeting which enables you to pin point your targeting for a very specific visitor audience.
Optimize Your website’s audience-oriented performance. Review campaign results in the context of a comprehensive suite of out-of-the-box metrics (including your own fully customizable Goals), and make real-time adjustments to offers, content, messages and design elements. Set-up control groups to measure overall campaign impact, and run customer focused A/B and Multivariate Tests.
you’ll find detailed instructions and explanations of how to use Personyze to improve your website’s experience and achieve your digital marketing goals. Our Wiki site is intended to serve as a reference for your familiarization with our comprehensive personalization and targeting tool, and the ongoing perfection of your personalization skills. If you don’t find what you’re looking for here, you can always:
Contact our support team, and an account manager will be in touch with you quickly to help.
Schedule a meeting or free demo, we are happy to take the time to meet with you.
You can always call us at +1(866) 267-9799
Add tracking code How to add Personyze code, Adding using GTM Verify That Personyze is installed correctly See real time site data feed How to create campaigns Campaign structure overview How to set goalsSet Personyze to monitor conversations of your site KPI’s and cart transactions Set personzye to track site dynamic data Track in real time dynamic data such cart value, search, form data, Etc How to QA CampaignsTest before going live How to set place holders Predefined locations for banners and content How to set dynamic recommendation Setting the recommendation widgets for products or articles or videos Campaign and site statistics Your Personyze account has a full analytic suite, From site general statistics to campaign statistics Setting multivariate testing See split testing and compare performance of two actions versions
This fashion site can show offers and promotions which are more likely to be relevant to his interest
Your Local Bank is enacting a campaign to show more personalized content to visitors on their homepage, with CRM Targeting and other methods.
Monkey Gadget is personalizing their site with relevant ads, banners, and product recommendations, using past interactions and other data.
Mozzareli personalizes their site to show visitors relevant content and promotions based on the time of day, and their most likely interests.
Smith & Lauren Law is personalizing their landing page to reflect the interests of visitors, based on what ad campaign brought them there.
Shopper Reviews is on a campaign for greater engagement, using personalization to show visitors what they are most interested in.
Casino Pro is promoting their VIP account to visitors in target demographics, based on past interactions and CRM data.
Casino Pro has another campaign to target visitors based on the games they played most, from past interactions with the site.
Global Dating uses personalization to show visitors relevant content according to their age, gender, partner preferences, and location.
Times of India is creating different versions of their home page based on gender, to give visitors a more relevant experience.
A2Z Travel personalizes their site based on the destination, season, and vacation type in which they are interested.
AB Travel personalizes their landing page based on what ad campaign the visitor arrived from, as well as their past interactions.