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Included in this article Overview Data you’ll get from Email Bounces Bounce Categories Hard Bounces Soft Bounces Bounce Details Building the Directory 1. Create 6 custom fields 2. Create a Program to house everything 3. Create a Static List 4. Create two Smart Campaigns Smart Campaign One - Logging Email Bounces with Bounce Details Smart Campaign Two - Remove Leads From the List After Successful Deliveries 5. Create Custom List View Showing Bounce Details Overview Bounce activities carry details for why the email was bounced, but it’s housed within the activity log entry, not in a field on the lead record, so it’s difficult to export that data. This article will show you how to extract that information to create a directory of leads bouncing emails and how to make the list automatically update. This will also create counters for bounces and successful re-deliveries after bounces happen. Data you’ll get from Email Bounces Bounce Categories Email bounces come in different types depending on why the email was bounced; Hard Bounces or Soft Bounces. Hard Bounces Hard Bounces come in two types, Category 1 and Category 2. Category 1 bounces are emails that have been marked as spam by the recipient mail server. Many email servers monitor blacklists or spam traps, so after de-listing with them, leads that have had a Category 1 bounce previously may be able to receive emails again. Category 2 bounces occur due to an email address that is invalid or doesn’t exist. Soft Bounces Soft Bounces come in three different types, Categories 3, 4 or 9. Category 3 bounces are usually temporary, caused by full mailboxes, timeouts, or throttling. Any email with this designation has been retried for up to 24 hours (36 for AOL). Category 4 bounces are caused by technical problems, Transient Failures, Admin Failures, DNS Failures. Any email with this designation has been retried for up to 24 hours (36 for AOL). Category 9 bounces are unknown, undetermined or gibberish details. Any email with this designation has been retried for up to 24 hours (36 for AOL). Bounce Details When an email is bounced, the recipient mail server includes details of why it was bounced. These are created by the admin of the recipient mail server and vary greatly, but most will give some explanation that can give valuable information. Email Bounce Codes Building the Directory 1. Create 6 custom fields You’ll need 6 custom fields, two DateTime fields, two Score fields, and two String fields Name the DateTime fields “Bounce Date” and “Email Delivered After Bounce”. Name the Score fields “Email Bounces” and “Deliveries After Bounces” Name the String fields “Email Bounce Details” and “Email Bounce Category” Directions for creating Custom Fields can be found here: Create a Custom Field in Marketo 2. Create a Program to house everything Use a default program type and name it "Directory of Leads Bouncing Emails". Info on creating programs can be found here: Create a Program 3. Create a Static List This static list will be your actual directory that contains all of the leads that are currently bouncing emails. Name it "Active Bounce List". Info on creating a static list can be found here: Create a Static List 4. Create two Smart Campaigns These two Smart Campaigns are what will be used to add and remove leads from your active bounce list. Info on creating Smart Campaigns can be found here: Create a New Smart Campaign Smart Campaign One - Logging Email Bounces with Bounce Details Your first Smart Campaign will be used to listen for any email bounces that occur. The campaign will populate the “Bounce Date”, “Email Bounce Category” and “Email Bounce Details” fields. It will then add one point to the “Email Bounces” score field which can be used to count how many bounces have occurred per lead. Lastly, the campaign will add the lead to the static list which will be an active directory of leads who are bouncing emails. Campaign Smart List Use the two triggers of “Email Bounces” and “Email Bounces Soft” in the Smart List. Set both triggers to “is any” so that they will fire whenever any email bounces for any reason. Campaign Flow The Flow of the campaign will have 5 flow steps. The flow will use a System Token and some Trigger Tokens, which can be used to pull details out of the action that activated the trigger. In this case, the Trigger Tokens will be pulling out the details on why the emails were bounced. That info is in the bounce message and is logged in the lead's activity log. Normally you'd have to comb through the activity log one at a time to find these details for each individual lead. This method, however, will pull the details out automatically for all leads. Flow Step 1: Change Data Value Attribute: “Bounce Date” New Value: {{system.dateTime}} Flow Step 2: Change Data Value. Attribute: “Email Bounce Category” New Value: {{trigger.category}} Flow Step 3: Change Data Value Attribute: “Email Bounce Details” New Value: {{trigger.details}} Flow Step 4: Change Score Score Name: “Email Bounces” Change: +1 Flow Step 5: Add to List List Name: “Active Bounce List” Smart Campaign Two - Remove Leads From the List After Successful Deliveries Campaign Smart List The Smart List of the campaign will need a trigger for “Email is Delivered” set to “is any” and also a filter of “Member of List” looking just for leads that belong to your Static List. This way, the campaign will only apply to leads who have had an email bounce but have then had an email successfully delivered afterwards. Campaign Flow The Flow of the campaign will have 3 flow steps to do the following; log when the email was delivered, add a point to the "Deliveries After Bounce" Score Field, and remove the lead from the "Active Bounce List". Flow Step 1: Change Data Value Attribute: “Email Delivered After Bounce” New Value: {{system.dateTime}} Flow Step 2: Change Score Score Name: “Deliveries After Bounces” Change: +1 Flow Step 3: Remove from List List Name: Operational.Active Bounce List 5. Create Custom List View Showing Bounce Details The custom fields you’ve created for email bounce information won’t show automatically in the view of your list. You can create a new view of the list to show just this information so that when it is exported it will give you only the email bounce information you need. Once the list has the necessary details, it can be exported with those columns included so that you can work with it. You can identify emerging trends and issues with your deliverability by looking for common themes among the bounce details. Directions for creating Custom Views can be found here

Image: Step Flow for Predictive Content for Web and Email What is Auto Content Discovery? This post explains the first part of the flow image above: discovering, mapping, and tracking your content assets. Content Discovery is used in the Predictive Content app to auto-discover all the content assets (videos, pdfs, blog posts, press releases, white papers, etc.) on a website/domain. Once discovered, you can see how your content is performing and decide which pieces of content should be prepared, approved, and enabled for the Predictive Content outcomes on web (either in the recommendation bar or rich media) and email. Setting up Predictive Content and Content Discovery See Set Up Docs: http://docs.marketo.com/display/public/DOCS/Getting+Started+with+Predictive+Content Steps RTP Javascript tag is installed on all your web pages (Note: RTP is now called Web Personalization) Set Asset Discovery to On Asset Discovery auto-discovers extensions (PDFs, PPT, MP4, OFF, WEBM) and a click/view on embedded videos (Youtube, Vimeo, Wistia) Create URL Patterns Setting URL patterns auto-discovers content when a web visitor clicks on the HTML web page relevant to the content pattern. The URL syntax pattern determines your ability to use this feature optimally (e.g., to create a pattern for press releases, your press releases should all be stored on a page identified as www.yoursite.com/press-releases/*). How is content auto-discovered? The content discovery technology uses an event listener that runs on every web page (where the RTP Javascript tag is installed) and waits for a web visitor to click on a URL link or arrive directly on that web page in a browser. If that link includes an extension (PDF, ppt, embedded video) or matches the URL pattern defined, then it will be discovered and added to the All Content page in the Predictive Content app. Only content pieces that a web visitor interacted with (clicked on or viewed) once the RTP Javascript tag has been installed are discovered via Content Discovery. If the content is already discovered, it will add to the tracking and views of those discovered pieces. You can also manually add new content to be listed and tracked in the All Content page. Image: All Content Page in the Predictive Content app displaying and tracking all discovered content What data is discovered? Visitor Data (Used for Analytics + Predictive Algorithm) Pages Viewed - number of page views by the user in the session Visit Count for Web Visitor Last Content URL Seen Last 5 Content Assets clicked via Predictive Content that this visitor has seen in the last 90 days Last Web Campaigns Seen - 10 last campaigns per session (within the last 5 sessions) Inferred Organization Inferred, Industry, Size, Revenue Inferred Country, State, City Search Term Content Data Extensions Video (Youtube, Vimeo, Wistia) Video Name Video URL Video Image URL PDF PDF Name PDF URL URL Patterns (HTML pages) Found via metadata of the HTML page Content Name Content URL Content Image URL Content Description What data is auto-populated during the auto-discovery phase? Based on the content data we discover, the aim is to populate as much of the Predictive Content as possible, making it quicker, easier and involves less prep work for you. However, you still need to review the discovered content and then approve and enable it for the Predictive Source (Email, Rich Media, Recommendation Bar). Assuming we discover an HTML page defined in URL patterns, this HTML content piece will be populated in the following fields in Predictive Content: Predictive Content Fields Auto-Populated Value Notes Content Name (Content Name) Unique Value Content URL (Content URL) The URL is consistent for all sources (email, bar, rich media) Categories Video OR Category Name from URL Pattern If Video is discovered, the category is populated as Video. Category populated from defined URL Pattern. e.g., Marketo.com/blog = Blog all discovered content based on this URL would receive Blog as a category Category is consistent for all sources (email, bar, rich media) Content Title (Content Name) Email Title (Content Name) Email URL (Content URL) Email Image URL (Content Image URL) Email Button Label Read More Not Auto-populated. Default is "Read More." Rich Media Title (Content Name) Rich Media URL (Content URL) Rich Media Image URL (Content Image URL) Rich Media Description (Content Description) Bar Title (Content Name) Bar URL (Content URL) Image: Example of Populating Metadata for HTML content into Predictive Content

Included in this Article: Overview Creating Custom Fields Dynamic Updates Set Up Custom Fields in RTP Filter by Custom Fields Overview Unfortunately RTP does not support the option to use Lead Database segmentations as segments in RTP. However, it is still possible with a bit of a workaround. Essentially, you will want to create custom fields for each segmentation, dynamically update them using smart campaigns, and filter by these custom fields in RTP. Below we will describe the steps you will need to take to implement this. Creating Custom Fields To start off, you will have to make a custom field in My Marketo for each segmentation you wish to use in RTP. Follow the steps in this article to get the custom fields set up in My Marketo. Make sure to select Boolean in the Type field. Dynamic Updates Next, you will need to assign these custom fields to those matching their respective segmentations. To do so, we will create a smart campaign, which will also update the list as more leads begin to match the segmentation. In My Marketo, visit the Marketing Activities page and create a new Smart Campaign In the Smart List tab, choose the filter for your desired segmentation, and the Segment Changes trigger for the same segmentation The filter will include all of the existing members of the segmentation, and the trigger will include any members that qualify for the segmentation in the future. Next, In the Flow tab, select the Change Data Value action, click Add Choice, and format the action to change your custom field to true when the lead qualifies for your desired segment, and false otherwise It is important to have both cases, for your lead matching the segmentation and for not matching, because leads can both qualify or be disqualified for segmentations at any point in time. Finally, under the Schedule tab, edit the Smart Campaign Settings so this will apply every time, and Activate the campaign Set Up Custom Fields in RTP Once you have set up your custom fields in My Marketo, you will also have to set up this field to display in RTP: Go to your Account Settings and navigate to the Database tab Select your custom fields in the drop down menu at the bottom of the page, then click Filter by Custom Fields Finally, once you've set up the custom field in My Marketo and in RTP, you can use the custom field to target the leads that qualify for your segmentation in My Marketo. To do so: Go to the Segments page and create a new segment Lastly, use the Database filter, select your custom field, and choose either true or false depending on if you want to target those in or out of the segmentation There you have it! You can now use your segmentations in My Marketo to target your audience in RTP campaigns.

Marketo Champions are customers who have demonstrated outstanding leadership in the Marketo Community, are experts in Marketo products, are avid contributors in the social world, and are loyal advocates of the Marketo brand. Benefits and perks our Champions receive include: Access: Meetings with our product and marketing teams to give exclusive feedback Previews: Given early previews to products, features, and releases when available Publicity: Exclusive speaking opportunities at our annual Marketo Summit and other events Networking: Special networking events with Marketo executives and fellow Champions and semi-annual conference calls Ownership: Ownership of content and exclusive activities at our annual Marketo Summit that showcase your expertise and thought leadership Credibility: Special Champion badge on Marketo Community profiles, and profiled on Marketo's corporate website Sweet Swag: Champion-exclusive swag To find out more information and apply, click here. To view a complete list of current Champions, click here. Join the Marketo Elite Today!

Issue You are experiencing slow processing of campaigns, smart lists, and reports. Solution There are three key components that can slow down an instance: Number of trigger campaigns: Trigger campaigns are always on, always listening. If there are 50 campaigns triggering at the same time, all the 50 triggers will be in queue, slowing down your processing and routing inside Marketo. Solution: Reduce the number of Triggers. Convert some of the triggers to batches: Batches also run all the flow steps for every lead at once, instead of serially, which reduces total processing time. Complexity of smart lists: The more complex a smart list, the harder it is for the system to figure it out, which increases backend processing and even creates campaign failures from timeouts. Solution: Reduce the number of nested smart lists called in a smart list. Whenever you ask Marketo to call another Smart List, it has to wait until all of the other smart lists finish, before putting together the final counts. Instead of Marketo looking for the list and running it, just put the filters in the trigger itself. Volume of Leads: With regular cleaning and good systems design, it is fairly easy to keep your system running fast. Reduce the number of leads that can flow through with filters. Clean up the inactive leads at regular intervals.

This is a article attached image Upon signing a contract with Marketo you are provisioned a Marketo instance and a Support Service. There are four different types of Support Services which are available to meet different customer support needs: Online (Legacy) Business or PREMIER SUPPORT BUSINESS (Legacy) Premier or PREMIER SUPPORT ENTERPRISE (Legacy) Elite or PREMIER SUPPORT ELITE Each Support Service has a different Service Level Target (SLT). An SLT is the amount of time Marketo Support targets to make first contact with you after a support case has been submitted. SLTs differ for each Support Service and priority level. Priority levels range from Priority P1 to Priority P4. Here are the SLTs and priority levels for each Support Service: Priority Online (Legacy) Business PREMIER SUPPORT BUSINESS (Legacy) Premier PREMIER SUPPORT ENTERPRISE (Legacy) Elite PREMIER SUPPORT ELITE P1 1 hour 1 hour 1 hour 30 minutes 30 minutes 30 minutes 15 minutes P2 4 hours 3 hours 2 hours 2 hours 1 hour 2 hours 30 minutes P3 6 hours 5 hours 4 hours 4 hours 2 hours 2 hours 1 hour P4 3 days 1 day 1 day 1 day 1 day 1 day 1 day Here are the descriptions for each priority level: Priority Description P1 Mission Critical: Core business function down or potential loss of mission critical data P2 Urgent: Major feature or workflow is not functioning. Mission critical workflow and majority of user community is not blocked P3 Important: Normal usability or task completion is impacted but functional, or workaround is available P4 Minor: Minor issue requiring a correction. Normal workflow is not impacted Find more information About Support here!

Summary New checkbox for query parameters available when adding new content or editing current content. Issue You were previously unable to specify query parameters for predictive content, and query parameters were not used when adding new content, editing current content, and reporting on URL clicks. Autodiscovery works by adding a new URL to the DB, and later on, clicking counts are accumulated against the newly found asset. The asset is determined based on the URL (and there, it previously didn't account for anything that followed the ? in the URL. The same was used as a validation when a user added new content. The rule to determine this part of the URL, minus the query parameters, was a requirement back then and was taken into account during design. Solution As you add predictive content from the predictive content page, you need to have the checkbox on this page to allow the user to decide whether they want to include/exclude the query parameters while adding it. The same thing should be followed for editing predictive content as well. Engineering built a nuanced approach that provided flexibility to include or exclude query patterns in determining a unique URL and added a feature to include query parameters when manually creating a piece of content. It should rightly identify the right asset to record clicks/views against as well.

The Named Accounts (or Account Based Marketing) module is sold separately. If you did purchase this module follow these instructions to create a new Named Account list. Common issues when uploading a new list: 1. Total number of records exceeded Root cause: Each account is eligible for up to 10,000 named account records. Contact your account manager to purchased an additional package of records or remove old lists. 2. Your account is not enabled for uploading Named Account Lists. Contact your account manager for more details Root cause: You didn't purchase the Named Accounts module or your account is misconfigured and this module is disabled - contact support.

Note: Once you have migrated to Admin Console, you can manage your support cases through the feature provided in the Admin Console Platform. To learn more, visit: https://experienceleague.adobe.com/docs/customer-one/using/home.html. Once you have submitted a case to Marketo support, we provide a simple way of staying connected to your case and the cases submitted from your company through the Marketo Support Portal. You can access the support portal through your Marketo instance by selecting Community in the top right corner: This is a article attached image You can also access the support portal directly at https://support.marketo.com and login with your Marketo credentials (login and password). This will not work for users with SSO. Once you are in the support portal you can Create a Case for Marketo Support or you can also review any cases that are open and being worked on by support or review your case history. Navigate to My Case management: This is a article attached image From the My Cases navigation you can access the following case views: This is a article attached image My Recent Cases* - Cases that you have opened in the past 30 days All Company Recent Cases* - Cases that any authorized support contact has opened in the past 30 days My Open Cases – Cases created by you that are being triaged by Support and pending Support’s response and are more than 30 days old My Closed Cases – Cases that were created by you and are now closed My Awaiting Fix Cases – Cases that were created by you where Marketo is developing a fix which will be implemented at a later date All Company Closed Cases – Cases that were created by you or your colleagues that are now closed All Company Open Cases - All open cases submitted for the account Company Awaiting Fix Cases – Cases that were created by you or your colleagues where Marketo is developing a fix which will be implemented at a later date Management Escalations - Escalations opened by you or your colleagues Survey Cases - Surveys that are available for you to fill out after a case is closed *Cases that have been opened for more than 30 days will move from Recent cases to Open cases To view specific case details, click a case number. This is a article attached image From the Case Details, you can perform the following: Close your Case - Select the "My Case is Resolved" button to close your case Add Comments - Provide additional comments to support or respond to a Support question Add Attachment - Provide any screenshots or documents that will help illustrate the issue you are reporting If your case has been closed there are two options available to you. Reopen - You can reopen your case if you are not satisfied with the case resolution by adding a comment in the case. Case Survey - Once your case has closed, please consider offering feedback on the level of Support you received.

All the Recommendation Bar customization options are available within the RTP account settings page: Colors: Link Color: select the color from the dropdown choices. Background Color:select the color from the dropdown choices. Font: Font Size: type in the size in the 'Font Size' field (must be in pixels - px) Font Family: type in the 'Font Family' field Arrow Icon Color: select the color from the dropdown choices. Icon Font: select the icon style Icon Opacity: define the opacity level for the arrows Advanced customization There is additional customization can be done by the support team: Horizontal Bar Position: bottom (default) /top Vertical Bar Position: right (default) / left

No - It’s done automatically and behind the scenes. The algorithms used by our proprietary technology automatically present relevant content to your audience segment using digital behavior, keyword search terms, and firmographics such as: geolocation, employee size, revenue size, and industry. The recommendation engine uses predictive analytics and machine learning to predict which content asset will most likely to be individually relevant for each one of your website visitors to read.

New Lead with no email address and no Marketo cookie: If a new lead fills out a Marketo form, their Marketo cookie is created, lead details (including the cookie) will be updated and the Lead-Database and RTP sync process will be initiated. They will then be known to RTP and eligible for 1:1 personalized RTP campaigns. This sync process may take a few minutes so personalization based on lead data will be available from the lead’s next visit. Lead with email address but no Marketo cookie: When a known lead with no cookie (e.g. a lead from a tradeshow or a list) receives a Marketo email campaign and clicks on a link in the email and arrives to the website, the RTP script runs and a new Marketo cookie is created for them. The creation of the cookie is also sent to the Lead-Database and initiates the RTP sync process for this lead. This sync process may take a few minutes so personalization based on lead data will be available from the lead’s next visit. Known Lead with email address and Marketo cookie: Any changes to the lead’s data will be synced between the Lead-Database and RTP within 5 minutes interval.

Included in this Article: Overview Why This Happens Two Ways to Fix this Problem Set the campaign as "Not Sticky" Use a dedicated Zone id that exists only on the page(s) to include in the campaign Overview In the Web Personalization platform, you defined a campaign that included certain pages, but you are seeing the campaign appear on pages that you didn't intend them to appear on. Below, we will describe what might be the issue and how to solve it. Why This Happens When defining a segment using the "Specific Pages" parameter, every visitor that views this page will be matched to that segment. Once this happens, the "sticky" campaign will be triggered and will be displayed on every page that includes this Zone id parameter. After the visitor is matched to the segment and the campaign is triggered, the segment is not taken into consideration anymore, so this visitor will keep seeing the campaign every time the Zone id exists on the page. Two Ways to Fix this Problem Set the campaign as "Not Sticky" This will make the campaign show up only once per session, and only when visitors are viewing the specific pages defined in the segment. Go to the Campaigns page Edit the existing campaign Uncheck the box for "Sticky" Use a dedicated Zone id that exists only on the page(s) to include in the campaign In Zone campaigns are displayed in a particular zone in a website, designated by the Zone id. Find "Zone id" in the campaign editor Then, give the campaign a Zone id corresponding to a unique div ID tag on the desired site(s). This will ensure that once a visitor matches the segment and visited this page once, they will keep seeing the Call To Action (CTA) on this page.

Article Text Included in this article Overview The Issue The Explanation Overview Sometimes you'll see an organization show up as "ISP - Anonymous - Proxy" in your visitors list in RTP. The Issue RTP is a powerful product with an immense database, but not every ISP can be found. When we receive a visit from an ISP we can't identify, instead of omitting them from our results, we use the name "ISP - Anonymous - Proxy" and set the location to "United States. The Explanation Pretty much any free Wifi signal you find like at a library or coffee shop will be listed as an Internet Service Provider (ISP). The admins for that ISP service can configure their network in any way they would like, including whether they allow for identification of their network. If there is no data provided, there's nothing for RTP or any other service to gather. In that case, that's when you'd see the "ISP - Anonymous - Proxy" listing for a visitor in RTP.

Article Text Image: Step Flow for Predictive Content for Web and Email What are Content URL Patterns? This post explains the first part of the flow image above: the discovery and tracking of content for the Predictive Content app. During the setup phase, the marketer defines their content URL patterns (See Create Content Patterns for more information), in order for Marketo to discover HTML content (e.g., blog posts, press release, news articles) across a domain. Setting URL patterns allows Marketo to auto-discover content when a web visitor clicks on the HTML web page within the content pattern. This content is then added to the All Content page in Predictive Content. Setting up URL Patterns Go to User Profile > Content Settings > URL Patterns. (For more information, see the Getting Started doc: Getting Started with Predictive Content) Image: URL Patterns Page Rules for Content URL Patterns Use of a wildcard (*) is permitted throughout the expression. e.g., domain.com/* or domain.com/*blog* It's recommended to use /* at end of the expression to continue pattern discovery. e.g., domain.com/blog/* to discover all your blog posts in the blog folder Content Patterns are not case sensitive. URL Pattern: "domain.com/Blog/*" will discover all HTML pages on "domain.com/Blog" and "domain.com/blog" Parameters in URLs are not discovered. Auto-content discovery removes the URL parameters in order to avoid discovering the same content URL multiple time with different parameters. Examples of Content URL Patterns Domain URL Pattern Type Result domain.com blog/* Pattern Discovers all your content that matches the pattern domain.com/blog/. Example: domain.com/blog/5-top-tricks domain.com/blog/2017/new-year-solutions domain.com/Blog/3-best-recipes domain.com article/2017/* Pattern Discovers all your content that matches the pattern domain.com/article/2017/ Example: domain.com/article/2017/5-top-tricks domain.com *datasheets* Contains Discovers any URL that contains the word "datasheets" Example: domain.com/datasheets/5-top-tricks domain.com/blog/5-top-datasheets domain.com press-release Exact Only one HTML page is discovered: Example: domain.com/press-release domain.com Exact If the domain is selected and the URL expression left empty, the URL pattern will discover only the home page Example: domain.com sub.domain.com blog/* Pattern Discovers all your html pages in the folder blog only on the sub domain sub.domain.com

Article Text Included in this article: Navigate to the Clickstream module How is Visit Duration Caluclated 00:00 Visit Duration Single page viewed Session timed out Navigate to the Clickstream module Go to the Visitors page Click on a visitor to find the Clickstream module in the bottom right How is Visit Duration Caluclated When a visitor visits a website being tracked by an RTP campaign, it records clicks in the Clickstream module in the RTP platform. Clicking on a visitor allows you to view their viewing information in the Customer Journey section, including: Links clicked Time stamp of each link click Total visit duration Visit duration is calculated by subtracting the first time stamp from the last time stamp. In other words: visit duration = last time stamp - first time stamp. See the image above for an example of this calculation. 00:00 Visit Duration Single page viewed Both RTP and Google Analytics rely on clicks to determine visit duration. This means that if a visitor only views a single page, neither RTP or GA can track when the visitor leaves the page, since there is only the initial time stamp without a time stamp to mark the exit from the page. The visit duration for viewers that didn't view more than one page during the session is recorded at 00:00 since it cannot be calculated. Session timed out Another way that a visit duration can be recorded as 00:00 is if a visitor's session times out. By default, a session will end after 15 minutes of inactivity. For example, if a visitor stays on a page without making any clicks for 25 minutes (perhaps they are reading an article or watching a long video), that session will time out and be recorded with a duration of 00:00. If the visitor finally makes a click after the 25 minutes of inactivity, a new session will begin. In Google Analytics, the session timeout can be customized to be longer or shorter than the default 15 minutes.

Article Text Included in this Article: Overview Email Reports not Being Sent Check Report Preferences Fewer Leads than Expected Check Personal Regions Settings Cross-Domain Tracking Data Includes Own Company Overview All RTP users should be receiving a monthly and quarterly Summary Report. This email evaluates the performance of campaigns and recommended content and compares it to that of the previous month or quarter. Performance is based on click count and number of visitors converted to known leads, whether direct or assisted. Direct leads are visitors that clicked on a campaign or a piece of recommended content and filled out a form in the same visit. Assisted leads are visitors that clicked on a campaign or a piece of recommended content and filled out a form in a separate visit, up to 6 months in the future. If you would like to unsubscribe from the Summary Reports, see this article. Otherwise, several potential issues with Summary Reports are outlined below along with their potential solutions. Email Reports not Being Sent Check Spam Folder As a first step, try checking your spam folder. It's certainly possible that the email reports did not make it past your email client's spam filters. Check Report Preferences In your RTP settings, you will be able to enable or disable email reports. If you are expecting reports but not receiving them, it is possible the reports were disabled in your preferences. To check: Go to User Settings Check the Email Report settings at the bottom of the page Make sure to check the box for Summary Report and whether you would like a monthly or quarterly (or both) report. This page is also where you will be able to manage any other RTP email reports you wish to be subscribed to. Fewer Leads than Expected Check Personal Regions Settings Another page to check is the Personal Regions page. This page will allow you to display data in the Web Personalization platform and send email reports only related to the specified regions. In User Settings, click the Edit Regions button This should take you to the Set Personal Regions page: On this page, you will want to verify that any region you may have leads in is checked (marked as included in your Personal Regions). If regions that you have leads in are not included, the Web Personalization platform will not display data from that region or include it in the email reports. This means that if you have leads that are not included in your Personal Regions, their activity will not be included in Summary Reports. Cross-Domain Tracking If the visitor is shown a recommendation on one domain, but the recommended content is hosted on a different domain, two different sessions will be recorded. This divides the visit into two sessions: The click on the link to the recommended content, on the first domain The content itself and the form fill-out, on the second domain Because the click and the form fill are in two different sessions, the lead will be recorded as an Assisted Lead rather than a Direct Lead. This applies for both top-level domains (www.firstdomain.com and www.seconddomain.com) and sub-domains (pages.domain.com and www.domain.com/new_page). Cross-domain tracking will ultimately skew your metrics towards more Assisted Leads. To reduce the impact of this limitation, keep content recommendation and the content itself within the same domain when possible. Data Includes Own Company Clicks and visits from your own company can significantly skew your summary data, as your own employees may be visiting the company website on a daily basis. Because of this, it is important to exclude your own company from the organizations contributing to your Web Personalization data. To do this: Go to your Account Settings Scroll to the bottom of the page to find the Exclude IPs field In order to exclude your company's traffic from your data and reports, you will need to know the outbound IP address of your company's network. You should be able to obtain this information from your company's IT department. Once you have your company's outbound IP address, enter it into the Exclude IPs field and press

Article Text Included in this article: Overview Missing or Extra Headers Issues with Quotes Invalid Characters Invalid Country or State Names Overview The Named Accounts feature is a way to target your RTP Campaigns to specific Accounts in a Segment. It's a powerful tool for targeting specific organizations, but you may encounter errors when uploading the list of Accounts you wish to target. This doc will go over over the most common problems experienced when trying to upload a CSV file to a Named Accounts list. To learn how to upload a Named Accounts list, follow this article. Missing or Extra Headers The first line of your CSV file should be, in order: Name, Domain, Country, State. Make sure there are no extra columns or white spaces at the end of the line. See the screenshot below for an example of how to format your headers Issues with Quotes Occasionally Excel will use curly quotes, which look like these: “ ”. However, curly quotes are not recognized by the uploader, instead the uploader will recognize straight quotes like these: " ". Any curly quotes will need to be replaced by straight quotes to resolve any uploading issues. To do this: First, make sure your file is saved as a CSV file (.csv) and not an excel file (.xlsx) Right click on the file to open the CSV file using a text editor (ex. Notepad, TextEdit, etc) Find and replace both opening (“) and closing (”) curly quotes with a regular quote (") Invalid Characters This error is caused when there is an invalid character in the CSV file that you are trying to import. This is particularly common in CSV files using non-English characters. To rectify this, make sure your CSV file is UTF-8 encoded. By default, Excel encodes characters in ANSI format, so if your file has non-English characters in it, you will need to convert it to UTF-8. You can do this in Notepad or similar text editors using the following steps: Open the CSV file in the text editor and click "Save As" Save as type: All Files (Make sure you include the .csv file extension in the file name) Change the Encoding to UTF-8 Invalid Country or State Names If the location columns are in use (they are optional), check to verify that the countries and states are input in the correct way: Country names should be either the full country name, or its two digit country code. Ex: United States or US State names should just be their two digit state code. Ex: CA, NY, OR Make sure that only US states are included in the 'State' column. Named Account lists do not support other countries' states or provinces.

Article Text Included in this article Overview Troubleshooting Steps Verify Global Settings Check for CRE Excluded URLs Verify Content Being Recommended Make Sure the Page Has the RTP Tag Running Clear Your Browser's Cache and Cookies Overview The Content Recommendation Engine allows content assets to be promoted to visitors on your website. But what happens if it stops working? This doc will show you the common things to check and troubleshooting steps to try to get it working again. Troubleshooting Steps Verify Global Settings The CRE can be switched on or off for your entire RTP instance whenever you want. It's possible that another user may have switched it off and not turned it back on again (it happens more often than you'd think). To enable or disable the CRE globally, go to the Account Settings page and look for the Recommendation toggle switch. Full directions can be found here. Check for CRE Excluded URLs You have the ability to prevent the CRE from being added onto specific pages. If you have URLs excluded from allowing the CRE to be displayed, that would cause the CRE to no longer display on those pages. Many times the exclusion can be set and then forgotten, or set by a different user on accident. Directions on how to set up the exclusions can be found here Web Personalization (RTP) - How To Exclude or Include the CRE on Specific Pages Verify Content Being Recommended Content assets can be switched on or off to designate whether that content should be included in the CRE recommendations or not. Each piece of content can be enabled or disabled individually, but if you don't have any enabled at all, there's nothing for the CRE bar to recommend, so it won't even show up on the page. To check whether content is enabled, from the menu, select Recommendations In the Content Recommendations page, look for the Recommendations column. This will list out all pieces of content you have in RTP and display whether they are enabled or disabled. The Red box means it is turned Off and is disabled. The Green circle means it is turned On and is enabled. Make Sure the Page Has the RTP Tag Running The CRE is a feature of RTP, so if the RTP script tag isn't running on the page, there's no way for the CRE to work. The RTP tag can be implemented in many different ways besides by having it directly in the page's HTML, like having it in a tag manager. These other implementation methods can cause problems so be sure to follow the directions in the documentation here when setting it up: RTP Tag Implementation - Marketo Docs - Product Docs If you know for sure that the RTP tag is on the page, here's documentation on how to troubleshoot what could be keeping it from loading properly: Troubleshooting Web Personalization (RTP) - RTP Tag Clear Your Browser's Cache and Cookies Web browsers store cached data from websites, which can frequently cause old versions of webpages to continue showing even if a different newer version of the page should be loading instead. Try clearing both cache and cookies in your browser and then testing the page again. You can also test using a different browser.

Knowledgebase

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How Auto Content Discovery Works in Predictive Content

Web Personalization (RTP) - Use Lead Database Segmentations in RTP

Marketo Champion Program

Customer User Guide - Marketo Customer Support Links

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Service Level Targets (SLT)

Predictive Content Query Parameters

Can't upload a Named Accounts list in Web Personalization

Managing your Support Cases

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What are the Recommendation Engine customization options in RTP/Web Personalization?

Do you need to create segments to use the Recommendation Engine?

How does the Known Leads Targeting work in RTP?

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Web Personalization (RTP) - Common issues when uploading Named Account Lists

Troubleshooting - Web Personalization (RTP) Content Recommendation Engine Not Working