How to create smart audiences for marketing campaign strategies December 06, 2023 14:11 Updated Index: What is it? How it works? Usage Guidelines Prerequisites Smart Audiences Data Sources Manual segmentation Automatic segmentation My audiences Active message triggering This functionality is in Closed Beta for some customers. If you are interested in participating, please fill in theformand request a demo. Smart Audiences are part of the growth ecosystem and are an essential part of our data platform. We centralize all proprietary data (First party data) and consumer interactions with brands, enabling the creation of targeted and more assertive audiences for their marketing strategies. Smart audiences are able to establish 1:many conversations, similar to 1:1, regardless of the channel or means of activating communication. Our focus is to help brands generate ideal leads and move them to the next stage of the sales funnel more effectively. What is it? Smart Audiences is a revolutionary feature that integrates external data sources, such as CRM platforms (Customer Relationship Management) from customers, with our internal Business Message data (Contact data, Conversation History, Campaigns and Service). This results in a deeper understanding of consumers' identities and behaviors, enabling the creation of highly targeted and personalized audiences. These audiences empower brands to improve their marketing and communications strategies. How it works? The Smart Audiences functionality operates through the integration of external data sources, such as CRM platforms (Customer Relationship Management) from customers, with our internal Business Message data (Contact data, Conversation History, Campaigns and Service). This process is the core of product, where data is collected, organized, standardized, unified and enriched using artificial intelligence. Data integration allows us to gain a deeper understanding of consumer identities and behaviors. From this combination of data, a unique view of each customer is created. However, the power of our ecosystem does not stop there. It can also group customers with common characteristics, a concept we call “hyper segmentation into personas”. This hyper-segmentation occurs through intelligent artificial intelligence models that classify customers into groups based on their behaviors. The more information we accumulate about how they act, the more personalized audiences we can create. This approach allows you to enhance communication from 1:1 to 1:many, which is essential for more effective marketing strategies. These Smart Audiences empower brands to tap into customer segments that might otherwise go unnoticed in their everyday lives. With this targeted and personalized approach. We are in a Beta version of the product. Keep in mind that as Smart Audiences functionality evolves, more features and automations may be introduced to make data integration and use even easier. Usage Guidelines It is important to note that the Smart Audiences functionality is in the Beta period. During this period, data import will be performed manually by importing CSV files. The contact data entered into the product must have an acceptance (opt-in) clear from consumers (contacts), indicating that your data is being manipulated in a people segmentation tool and that there is authorization to send communications, whether active messages or advertisements. This ensures that all processes comply with data privacy regulations and that consumers are aware of and have control over the use of their information. Prerequisites CRM platform (Customer Relationship Management): It is essential to have a CRM platform where data management of consumer interactions with your brand is carried out. This ensures that relevant information is available for integration and enrichment. Contract View on the Blip Platform: It is necessary to have a contract view configured on the Blip platform. Active Chatbot: An active chatbot is essential to ensure contacts are enriched with Business Message information. Make sure your chatbot is configured and functional to collect the necessary data that will later be used in Smart Audiences. Smart Audiences To access Smart Audiences, follow the steps below: Access the Blip platform; From the main menu, navigate to your desired contract view; Within the contract view, you will find the “Smart Audiences” option available. Access permission: During this controlled Beta period, permission to access Smart Audiences will only be granted to authorized users. To enable the functionality, a brand profile that is a Contract Administrator must contact us via email customerdataplatform@blip.ai, requesting activation for him and providing the list of other company contacts who wish to have access. Data source It all starts with importing external data sources. In the side menu, click on the Data Source option and import your databases to create custom segments and automated audiences. 6.1. Data import: The first step is to access your CRM platform (Customer Relationship Management) and select contacts and data types (columns) that you want to send to our data platform. You have the flexibility to choose between a sample of data from a specific period or import your entire database. It is important to note that for contacts to be imported successfully, they must comply with the guidelines of LGDP (General Data Protection Law) and have a consent (opt-in) valid. Our system performs a validation of the opt-in, and any contact with opt-in negative will not be imported into our database. If your worksheet does not contain the opt-in, our system will consider that all contacts have a valid opt-in. To begin the data import process, follow the steps below: Upload the CSV file containing the data you want to send to our data platform. You have two options for uploading: Drag and drop the file into the designated area. Click the upload component and browse the folder on your computer to select the file. 6.2. Data import pattern in CSV format: When uploading the spreadsheet, it is important to follow a specific and standardized format for the file. Some rules include: The maximum size allowed for files is up to 10megabytes. A maximum import limit of up to 50 thousand contacts is allowed. About columns in your spreadsheet Mandatory columns: Files must contain a column named "Opt-in," which indicates the contacts' authorization to process their data on our platform, as well as to send active messages or advertisements. If your spreadsheet does not contain theopt-in, our system will consider that all contacts have a valid opt-in. It is mandatory that the spreadsheet includes a column called "phoneNumber," in which all contacts' cell phone numbers are listed. This is essential for effective contact identification and segmentation. The name must be exactly this, so change the name of the column representing your customer's phone number to "phone Number". Column translation: If you have any of the following information about your customers in your spreadsheet, pay attention to the name of the column(s) in it, to follow the following pattern: Column name Information phoneNumber customer phone number email customer email address city name of the city where the customer lives address customer address taxDocument customer document number (CPF or RG) name client name All other columns in your document can have the name you consider most appropriate, this information will be saved as your client's "Behavior" and there are no rules regarding the name given to the columns in this case. About file formatting The spreadsheet file sent must have the extension *.csv* (*Comma-separated values*). Therefore, the text content of the file must consist of a first line that represents the name of the spreadsheet columns, separated by the separator character (it can be a comma or semicolon). The remaining lines must be customer information, one line for each customer, following the order defined by the columns. Example: phoneNumber,email,city,address,taxDocument,name,timedocoração,gostadefutebol?,idade987654321,joao.silva@gmail.com,SãoPaulo,Ruaexemplo1,12345678901,JoaoSilva,AtléticoMineiro,Sim,2555566677,pedro.costa@gmail.com,RiodeJaneiro,RuaExemplo2,987.654.321-09,Pedro Costa,Flamengo,Não,32 Separator character: The separator character for information in a csv file is normally the comma ",". CDP accepts files that use the comma or semicolon ";". File text content rules The file content must follow the following rules: The file must be of the format.csv File content cannot be blank All columns must have a name filled in The file must contain at least two lines, including the column row The file must use comma "," or semicolon ";" as separator character The file must contain the "phoneNumber" column to store the customer's phone number Columns with the same names cannot exist. O archuivo must be in the formatUTF-8 To facilitate the import process and ensure that your spreadsheet meets these criteria, you can download the standard import template in CSV format here. This will help ensure that your data is ready to be used in Smart Audiences efficiently. 6.3. Imported files: After uploading one or more files, you will be able to view the list of imported files on the same page, accompanied by the following information: File name: Refers to the name of the CSV file that was imported. This name cannot be changed directly on the product. Columns: Represents the number of identification columns (attributes) or behaviors present in the imported file. It is not possible to add new columns after the file has been uploaded. If it is necessary to include new columns, you will need to import a new file with the added columns. Once uploaded, rows and columns cannot be deleted. If you ever need to delete user information that has already been imported, please contact our support via email: customerdataplatform@blip.ai to request the desired deletion. Lines: Considering that each row in the spreadsheet corresponds to a contact, the number of rows indicates the number of contacts that were imported. Import Date: Indicates the date the file was imported into the system. This date corresponds to the start of the upload process and not the import completion date. Status: You can check the current status of imported files through the following categories: Success:The import of the file and all its records was completed successfully. Error:It may indicate that the entire file was not imported, or that only a specific number of lines were not imported. For more details about the errors, please contact our support by sending an email to: customerdataplatform@blip.ai. On this screen, you can also search for imports already made using the search field. If you need to search for imports in a specific period, you can use the date filter for this purpose, both are found in the top right corner. This makes it easier to manage your imported files. 6.4. Import details: After selecting one of the imported spreadsheets, you will be directed to the import details screen. File columns: On this screen, you will find a list of the number of columns present in the imported file, as well as the names of each column. These columns represent user identification and behavior data (attributes). Responsible for importing: Additionally, you will have the ability to view the person responsible for the import, that is, the person who performed the action of uploading the CSV file. This ensures traceability of information and allows you to know who on your team performed this action. Import status history: Another important feature is the import status history. This record presents information from the start date of the import until its completion. This history provides an overview of the progress of the process and allows you to obtain a historical record of information processing. Import details: In this section, you can get more detailed information about the current status of the files, including the number of rows that were successfully imported or had errors. This provides a more granular view of the import process and helps you identify which parts of the file were processed successfully and which may require intervention or correction. For more details about the errors, please contact our support by sending an email to: customerdataplatform@blip.ai. It is important to note that the processing time for importing a file may vary depending on the amount of data to be imported. The system may require more time for more extensive imports. After the import is complete, a notification email will automatically be sent to the import author. This email will provide information about the status of the import, indicating whether it was completed successfully or whether errors occurred during the process. This way, the importer will be aware of the outcome and can take appropriate action if necessary. 6.5. Identity resolution After importing data from external sources, coming from CRM (Customer Relationship Management), the system performs the identity resolution process (Identity (ID) Resolution). This process involves creating a unique addressable consumer profile through the analysis and resolution of primary data (First Party Data) coming from different touchpoints, attributes and systems. Identity resolution on our platform is performed deterministically, meaning contact records are matched by looking for equality between identifiers. In this context, we use key attributes, such as Telephone, CPF, email and Name. The matching process makes use of algorithms and thoughtful analysis to create a persistent customer identifier that becomes the customer's unique profile. This identifier is employed to enrich the customer profile through Artificial Intelligence and as more data becomes available. Currently, identification resolution is carried out exclusively considering one messaging channel, which is WhatsApp. We are constantly working to expand our resolution capabilities to include other messaging channels soon. Why is identity resolution necessary? Consumers interact with your brand across multiple devices and platforms. For example, in the morning, a consumer might see an ad for your brand on a mobile app. During your commute to work, you might come across a banner while browsing a news website. When you arrive at the office, you can open an active message received on your cell phone. However, without identity resolution, these three points of contact (i.e., from the same person) may appear to originate from three different people. With identity resolution, you can integrate these touchpoints into a single consumer profile, providing the opportunity to create a unique consumer experience (Customer Experience) continuous and integrated. Understanding that these three touchpoints belong to the same person allows for a better understanding of their interests and needs. Additionally, consumers' tendency to use multiple devices and platforms means that explicitly collected data about consumers is confined to platform-specific silos. These data silos make it more likely that a person will receive different offers and messages from your brand based on the systems they are currently using. This can result in confusion and not reflect well on your brand. A unified consumer profile helps you create more personalized and relevant interactions, providing a more consistent and satisfying experience for your consumers. 6.6. Enrichment with Business Message data After unifying consumer profiles, contact data is enriched with information from interactions with your brand's smart contact (Business Message). This enrichment process comprises: Chat History Classification: Through our generative AI, we are able to understand conversation data, providing visibility into important elements in the consumer journey, such as their preferences, intentions, sensitivities, the ideal time to make a purchase and their interests. We currently offer three types of classification for conversation history: Buy intention: This classification analyzes the conversation history to identify whether the customer shows an intention to make a purchase, even if the purchase itself is not finalized in the conversation. Conversations are classified as "Purchase Intent" when the customer shows interest in purchasing a product or service. Other intentions, such as seeking information, clarifying doubts and requesting information, are classified as "Other". Price Sensitivity: This classification evaluates the conversation history to identify the customer's reaction to the price presented by the agent or chatbot flow. Conversations are classified as "Sensitive" when the customer shows dissatisfaction, discontent or any negative reaction in relation to the price. On the other hand, they are classified as "Insensitive" when the customer demonstrates satisfaction, contentment or any positive reaction to the price. Feeling: This type of classification focuses on multi-class sentiment analysis of the conversation history, identifying the sentiments associated with the dialogue and classifying them into categories such as "positive," "negative," and "neutral." Contact Extras: This category refers to information configured in the chatbot flow to be stored as additional data for contacts interacting with the brand. "Contact Extras" information is available to create manual segments, although for now it is not considered by the AI algorithm to create automatic segments. Campaign Data: This is information about active messaging campaigns via WhatsApp that the contact was exposed to. It is possible to check data such as campaigns sent, viewed, read and responded to. Soon, we will make available information about services on Blip Desk and data on the purchase journey in Smart Sales. Manual Segmentation Our platform is so powerful that it goes beyond understanding your consumers' behaviors, offering the ability to strategically group those behaviors. Manual audience segmentation is a feature that enables marketers to segment their target audience in a precise and highly personalized way, using specific criteria that cannot be automated by algorithms or automatic segmentation tools. This manual approach can be valuable in digital marketing strategies, online advertising, and targeted communications. Even when creating segments manually, you can be confident that with the enriched data available, your audience results are richer and more robust. This flexibility gives brands the ability to target their messages in a more personalized and effective way, ensuring marketing efforts are accurately targeted to desired audiences. 7.1. Filters Use our customizable filters to refine the available information and create precise segmentations that will boost your marketing strategies. Explore data with ease and make assertive decisions to boost the success of your business. 7.2. Creating the segmentation To get started, simply select the "Manual Segmentation" option in the side menu. This choice will allow you to begin the segmentation process, refining the criteria in a personalized way to reach the desired audience with greater precision and effectiveness. To add a new filter, simply click the "Add Filter" button. Then, from the drop-down menu, select a field value based on the criteria available for targeting. The data in these fields correspond to all consumer interactions, both from external sources, such as CRM (Customer Relationship Management), as well as the internal data of theBusiness Message do Blip. Select the criteria you want to use to segment your list, customizing it according to the specific needs of your marketing strategies. This flexibility allows you to precisely refine your targeting. Based on the selected criteria, you must configure filters and conditions to improve your segmentation. For example, if you're targeting based on age, set the "Age" filter to include a specific range, such as "18-30." After selecting a value field, add a condition. Available conditions include: Contains, Does Not Contain. Equal to, Not equal to, Starts with, Does not start with. After configuring the condition, select an available value. The value fields represent the behavior and identification attribute data available in your database. The first dropdown corresponds to the main attribute being fetched (for example, the column name), while the second value field corresponds to the available variations for that selected column. You can add as many filters as necessary to meet your objectives (using the “AND” logic), to add new filters click on the “Add Filter” button. Example: Now, imagine that the marketing department is planning an Active Messaging campaign targeting an audience with a high probability of converting, as they are at an advanced stage of the funnel. To create this segmentation for your campaign, filter the following information from leads in our enriched database that meet all the following criteria: Leads that came from CRM Marketing (Field: Lead Source / Condition: Equal to / Value: CRM Marketing) They have agreed to the sharing of their data with third parties (Field: Sharing my data / Condition: Contains / Value: Agree) The last interaction took place on the WhatsApp channel (Field: Channel of last interaction / Condition: Equal to / Value: WhatsApp) The lead status is "Not a Customer" (Field: Lead Status / Condition: Equal to / Value: Not Customer) The lead status is "Sales Qualified" (Field: Lead Status / Condition: Equal to / Value: Qualified Sales) In this example, filters were created to compose an audience of people for a marketing campaign. However, after creating the filters, you realize that you want to relax the conditions and allow people whose lead status is "Not a Customer" or "Sales Qualified" to be filtered. In other words, the restriction of meeting both criteria is no longer mandatory, becoming an "OR" logic. This can be done by adding "OR" logic to the filter configuration. To perform this configuration, on the left, click on the "AND" option and a drop-down menu will open with the "OR" alternative. Click on the "OR" option to enable the new condition. This addition of "OR" logic allows you to expand the segmentation possibilities, making it flexible to include contacts that meet at least one of the established criteria, rather than all of them. Deleting filters is simple and flexible. You can remove filters individually at any time by clicking the "Trash" icon located on the right of the page. If you prefer, you can clear all filters configured so far in one go by clicking the "Clear Filters" button. After configuring the filters and conditions for your segmentation, click the "Create Segmentation" button. At this point, the system will ask you to give your audience a name and, optionally, a description. The name field is mandatory, but the description is information that you can add at another time, if you prefer.If you wish to cancel this action and return to the previous screen, click the “Cancel” button at any time. To complete the audience saving process, simply click the "Create Segmentation" button. At this point, the system will process the filters and return a segmented list of consumers who meet the specified criteria. This step allows you to conveniently name and identify your audience, making it easier to manage and access your custom targets. To view the audiences you have created, simply click on the side menu on the left and select the "My Audiences" option. Manually created segmentations are dynamic in nature, which means that, when new contacts are included in the database that meet the criteria established by the filters, the audiences are automatically updated. These new contacts are integrated into the group automatically. Automatic Segmentation Our Artificial Intelligence Segmentation solution is the key to delivering reliable, highly relevant and genuinely personalized experiences in a fully automatic way. With automated targeting, you have the power to create highly targeted segments across a fraction of minutes, orchestrate personalized journeys and even automatically generate message templates. With this new functionality, brands are able to identify emerging behaviors among their customer base, allowing them to communicate in a more targeted and effective way with assertive communication strategies: Smart features of our solution: Interaction-based personalization Our profile segmentation algorithm is based on first party data, that is, consumers' direct behavioral interactions with your brand. It closely examines these interactions to identify emerging behaviors, patterns, trends, and statistically significant correlations. Behavioral targeting The resulting audiences allow the categorization of users or accounts based on specific behavioral events, combined with characteristics extracted from diverse data sources previously unified and enriched in our data platform. This allows you to create groups of segments based on behaviors that stand out statistically within your customer base. Dynamic segmentation generation Automatic segmentations are generated on demand, with each new data import or update of consumer behavior information with your smart contact. The user can simply click the segmentation creation button, resulting in the generation of new audiences based on the most recent emerging behaviors, keeping your communication strategies always updated and aligned with the continuous evolution of your audience's behaviors. Explainability of the hearings All generated audiences have the explainability segmentation, which is the detailed description of the main behaviors and characteristics taken into consideration to create the specific segment. Custom Content When creating an audience, you also have the option to create content proposals for the messaging templates to use to actively reach those audiences. These content proposals are generated based on explainability segmentation, that is, the main behaviors and characteristics taken into consideration to create that specific segment. Multi-Segmentation It is important to note that our functionality takes into account that a customer profile can belong to more than one segment, depending on their behaviors and interests. Additionally, null data, all rows with the same value, and all distinct rows are not considered when creating slicers to ensure that only relevant data is used. 8.1: Artificial Intelligence Model Our profiling algorithm is based on data first party, that is, consumers’ direct behavioral interactions with your brand. It closely examines these interactions to identify emerging behaviors, patterns, trends, and statistically significant correlations. The resulting audiences allow the categorization of users or accounts based on specific behavioral events, combined with characteristics extracted from diverse data sources previously unified and enriched in our data platform. This allows you to create groups of segments based on behaviors that stand out statistically within your customer base. 8.2: Creating automatic segmentation Automatic segmentations are generated on demand, with each new data import or update of consumer behavior information with your smart contact. The user can simply click the “Generate automatic segmentation” button, clicking on this button will display a confirmation modal for the action, to continue with the action click on the “Yes, continue” button and if you wish to cancel the action click on the “ No". After confirming the action to continue, the result is the generation of new audiences based on the most recent emerging behaviors, keeping your communication strategies always updated and aligned with the continuous evolution of your audience's emerging behaviors. It is important to note that our functionality takes into account that a customer profile can belong to more than one segment, depending on their behaviors and interests. Additionally, null data, all rows with the same value, and all distinct rows are not considered when creating slicers to ensure that only relevant data is used. To generate new automated audiences, there must be a sufficient amount of data updated in the last seven days. This implies that at least seven consumers have had data updates during this period. You can import updated data at any time and try again. If you do not meet this requirement, you will receive an alert informing you that generating automated segmentations is not currently possible. This condition is important to ensure that automated audiences are based on recent and relevant information, for the creation of new groups. 8.3: Copy Templates for Active Messages When creating an audience, you also have the option to create content proposals for active messaging templates to be used to actively reach those audiences. These content proposals are generated based on explainability segmentation, that is, the main behaviors and characteristics taken into consideration to create that specific segment. If you would like to receive suggested copy models for your Active Messages, select the option in the check box "I would like to receive template suggestions for active messages." After generating the audiences, the template options for your messages will be sent by email to the email addresses registered with access to this functionality. This option makes it easier to create more effective Active Messages by providing ready-to-use and customizable copy templates. After generating automatic segmentations, you can view the automatically created audiences. To do this, simply click on the side menu on the left and select the "My Audiences" option. My Audiences In the side menu, in the "My Audiences" section, you can check the list of audiences created, both manually and automatically using Artificial Intelligence (AI). This area provides a convenient overview of all available audiences. 9.1. Audience management In the "My Audiences" section, you can manage all your audiences and perform important actions, such as filtering, searching, exporting, deleting and renaming the created audiences. In the audience list, you will find the following information: Segmentation Name: Corresponds to the name of the created audience. The name in manual segmentations is assigned by the author of the audience creation, while in automatic segmentations it is defined by generative AI. Created by: Indicates the name of the author responsible for creating the manual segmentation. Automatically created segmentations do not have the "Created by" field filled in. Creation date: Refers to the date the segmentation was created, either manually or automatically by Artificial Intelligence (AI). Last update: Shows the date the manual segmentation was last updated, if any user has made any changes. Automatic segmentations do not have the "Last Updated" field filled in. Type: Represents the category that identifies whether the segmentation was created using AI or manually by a system user. Filter by Type: It is possible to filter segmentations by type: Automatic or Manual. On this screen, you can also search for segmentations already created using the search field. If you need to search for segmentations within a specific period, you can use the date filter for this purpose. Both of these resources are located in the top right corner, making it easier to manage your audiences. 9.1.1. Export audiences To download a created audience, in the list, click on the “three dots” of the audience you want to export and click on the "Export" option. At that moment, an export confirmation modal will appear, to continue with the action click on the “Yes, continue” button to cancel the action click on the “No” button.After confirming the export process, you will receive a link in your email to download the desired version.. This link is valid for 48 hours. After this period, the link will expire and you will need to perform the action again. The CSV file will contain all the contact information that is part of the segmented sample, as well as their behavioral and identification attributes considered by Artificial Intelligence (AI) or manual filters to compose that specific audience. The export CSV file already has the appropriate formatting standard for sending Active Messages using the Blip Trigger application. After exporting, you can create your campaign strategy and use this targeting to send targeted, personalized active messages. This functionality streamlines the process of targeting your marketing campaigns, ensuring that messages are delivered to the target audience effectively. 9.1.2. Delete audiences You can delete an audience whether it was created manually or automatically. To do this, in the list of audiences, click on the "three dots" next to the audience you want to exclude and choose the "Delete" option. Then a modal will be displayed to confirm the deletion. To complete the action, click the "Yes, delete" button. If you wish to cancel the action, click the "No" button. This functionality allows you to keep your segmentations organized by removing those that are no longer relevant. 9.1.3. Rename audiences It is possible to rename a created audience, both Artificial Intelligence (AI) and manual created audiences can be renamed. In the list, click on the “three dots” of the audience you want to change the name and click on the “Rename” option, a modal will open for you to change the segmentation information. This flexibility allows you to keep your segmentations organized and identifiable according to your needs. Renaming an audience is a simple process to customize information according to the context of your campaign. 9.1.4. Edit audiences If you need to edit a manually created segmentation, this is completely possible. In the list of audiences, click on the "three dots" next to the audience you want to change and choose the "Edit" option. You will be redirected to the Manual Segmentation Filters screen, where you can make the necessary changes. After completing the changes, simply save the audience again by clicking the "Create Segmentation" button. 9.2. Audience description By clicking on a specific audience, you can access its details. These details include information such as the audience name, creation date, and audience type tagging. Main features: This field is exclusive to automatically created segmentations, where an Artificial Intelligence (AI) algorithm provides an explanation of the audience's most important information. You can change the main features at any time, just click on the button with the “Pencil” icon located on the right side. Description: The audience description is also generated by generative Artificial Intelligence (AI), based on the characteristics of the audience. It helps brands understand the profile of the audience being segmented and which persona will be impacted by the communication. You can change the description at any time by clicking the button with the “Pencil” icon. It is important to highlight that changing the main characteristics and description does not affect the sample of consumers that has already been segmented by this audience. This functionality allows you to adapt your audience description according to your evolving business needs. Fields filtered for this segmentation: On the same page, in the lower table, you can check the explainability of the audience generated. You can see all the fields that were taken into consideration for the algorithm to automatically create the segmentations and what the values of each one are. In the case of manual segmentations, it is possible to see this same grid with information about the filters that were selected to compose the segmentation. In the case of AI segmentation, the algorithm takes into account to create groups the most similar data that has the greatest statistical weight. A explainability of the fields and values considered allows you to understand the criteria that were used to automatically segment the data. This is useful for understanding the profile of consumers in each segment and how they fit into the defined criteria. This makes it easier to adjust and refine marketing and communications strategies based on insights into consumer behavior. On this screen, you can also export the segmentation or delete it. This gives you the flexibility to manage your segmentations and use them as needed. Active Message Triggering With the audiences generated, the time has come to activate communication with your consumers. Each audience created by Smart Audiences is made up of information such as name, description and sample, which play a fundamental role in creating successful communication strategies. The key to an effective strategy is allowing our clients to be the protagonists in creating that strategy. Now, your marketing team can personalize campaigns based on the characteristics of the discovered targets. Each audience can receive specific content from copies and active message templates to communicate in a more targeted way with each lead. Triggering active messages can be carried out using the Blip Trigger module.You can check out the full documentation on triggering active messages in Blip for more details. By implementing this strategy, you may be surprised by the results, and see a significant increase in engagement and conversion rates. Through targeted and personalized communication, our clients have been able to increase engagement by up to 3x and conversion rates by up to 5x compared to their previous communication strategies. This is what we call a winning strategy: the right message, at the right time and to the right person! For more information, visit the discussion on the subject in our community or the videos on our channel. 😃 Related articles Audience file configuration - Bulk notification sending How to connect Click Tracker to Conversion API (Facebook Ads) Sending Active Messages to WhatsApp via Growth Active Messages - Error Codes FAQs