Overview

Integration requires two types of calls or one in optimized flow. First call is "new chat" which is used to transmit any text sent from user to chatbot and other way around. Second is requesting to retrieve Ad content. Following is a diagram of interactions with optimized (extended new chat) call where new chat call also returns Ad content in single request.

Installation

Install the Python package via pip:

pip install chatady

or install the npm package for Javascript:

npm install chatady-node

Initialize

Initialize the integration with publisher id and api keys obtainable from platform. Execute following for Python integration:

from chatady.chatady import ChatADy

client = ChatADy('your_publisher_id', 'your_api_key')

or following for Javascript:

const ChatADy = require('chatady-node')

const client = new ChatADy('your_publisher_id', 'your_api_key')

Send in chats

Chats betwen user and chatbot are sent in with chat_id that uniquly identifies conversation betwen user and chatbot, users text and True for users text and False for bots text.

With Python:

# send in user text
client.new_chat('chat_id', 'Hello, my sweet Bot!', True)

# extended request that sends in user text with included AD content request in one call
client.new_chat('chat_id', 'Hello, my sweet Bot!', True, { retrieve: True })

# send in bot text (AI text or AD content)
client.new_chat('chat_id', 'Hello, back to you User!', False)

With Javascript:

# send in user text
await client.newChat('chat_id', 'Hello, my sweet Bot!', true)

# extended request that sends in user text with included AD content request in one call
client.new_chat('chat_id', 'Hello, my sweet Bot!', True, { retrieve: true })

# send in bot text (AI text or AD content)
await client.newChat('chat_id', 'Hello, back to you User!', false)

Retrieve Ad content

Get Ad content with Python:

ad_content = client.get_contents('chat_id')
print(ad_content)

# prints with Ad content and earnings in cents if ad is used and found:
# { status: 'success', content: 'Ad content', id: '<ad-id>', earnings: 150 })

# prints if Ad is not found:
# { status: 'success', content: '', id: '', earnings: 0 })

With Javascript:

const response = await client.getContents('chat_id')
console.log(response)
// prints with Ad content and earnings in cents if ad is used and found:
// { status: 'success', content: 'Ad content', id: '<ad-id>', earnings: 150 })

// prints if Ad is not found:
// { status: 'success', content: '', id: '', earnings: 0 })

Wrap-Up and Further Support

Implementing is quite complex and required for proper functioning. Leveraging the chatady libraries in Python or JavaScript can simplify the process. For additional support, guidance, or custom integrations, developers are encouraged to reach out through the library’s GitHub repositories (Python and Javascript) or consult the official ChatADy website.

Campaign Intro

Explanation:

• Campaign Name: This should be memorable and clearly reflect the campaign's purpose. In this example, "GringoLino Energy Drink #1" indicates it's the first campaign for this product.
• Campaign Description: This provides a brief overview of the campaign’s goals and key details. The description "Conversation ad for GringoLino Energy Dring #1" suggests a focus on engaging users in a conversation about the energy drink.

Recommendations:

• Be Descriptive and Clear: Use specific and clear language to ensure anyone reading the campaign name and description understands its purpose.
• Highlight Key Goals: Mention the main objectives of the campaign in the description to keep your team aligned and focused.

Campaign Targeting

Explanation:

• Campaign Trigger: This is the context that will trigger your ad. "Buying energy drink" is a direct and relevant trigger for this campaign.
• User Sex and ChatBot Sex: These fields allow you to target specific demographics. "Any" indicates no restriction, meaning the campaign is inclusive.
• Adult Apps: This setting determines if the ad will be shown on adult-focused platforms.

Recommendations:

• Define Precise Triggers: Choose triggers closely related to your product or service to attract the right audience.
• Target Wisely: If your product is gender-specific, set appropriate restrictions. Otherwise, keeping it broad can widen your reach.
• Consider Platform Appropriateness: Decide if showing ads on adult platforms aligns with your brand image and goals.

Campaign Content / Responses

Explanation:

• Campaign Initial Content: The initial message that users will see. "Have you tasted new GringoLino energy drink?" is a straightforward question aimed at engaging users.
• Responses and Replies: Predefined user responses and corresponding bot replies help streamline interactions. Examples include:
  • User: "Have not tasted it yet!" Bot: "You should! I've heard it's really tasty!"
  • User: "Yes I have! It's my favorite!" Bot: "Nice! Same as me!"

Recommendations:

• Craft Engaging Questions: Use questions that encourage interaction and are relevant to your campaign goals.
• Prepare Thoughtful Replies: Anticipate user responses and prepare replies that provide value and maintain the conversation.

Campaign Timeline

Explanation:

• Start Date and End Date: These fields determine the campaign’s duration. "Aug 1 2024" to "Sep 1 2024" sets a one-month campaign period.

Recommendations:

• Plan Ahead: Set start dates a few days in advance to allow for any necessary reviews or adjustments.
• Flexible End Dates: Leave the end date open if you want the campaign to run until the budget is exhausted or set a specific end date to align with marketing calendars.

Campaign Budgets

Explanation:

• Campaign Budget: The total amount allocated for the campaign in $, here set at $5000.
• Campaign Bid Max: The maximum amount you're willing to pay for a single engagement, set at $1.
• Budget Daily Limit: The daily spending limit, here set at $50.

Recommendations:

• Set Realistic Budgets: Ensure your total budget is sufficient to meet your campaign goals while staying within financial constraints.
• Optimize Bids: Adjust your maximum bid to balance cost-effectiveness and competitiveness.
• Monitor Daily Spend: Use daily limits to control spending and adjust based on performance metrics.

Conclusion

Creating an effective conversational ad campaign on Chatady.com requires thoughtful planning and strategic decision-making. By carefully crafting each component—from the campaign name and targeting criteria to the initial content and budget—you can maximize engagement and achieve your marketing objectives. Follow these recommendations to ensure your campaign is well-prepared and poised for success.

How Conversational Ads Work

Conversational ads take the functionality of chatbots a step further by integrating them into advertising campaigns. These ads are not just static banners or pop-up videos. Instead, they are dynamic conversations that engage users based on the context of their current interaction. Here’s how they operate:

1. Campaign Trigger: The campaign is initiated when a user's chat matches the context of the campaign trigger.
2. Content Injection: Campaign content is injected as response.
3. Users Response: Users reply is matched with campaign closure content and stored as metrics available to campaign owner.
4. Campaign Closure: Closure content is injected as response.

For businesses, the appeal of conversational ads lies in their ability to maintain continuous, personalized communication with potential customers, guiding them through the sales funnel in a more engaged manner. For customers, these ads provide a more relevant, less disruptive advertising experience that respects their preferences and time.

Conclusion

In conclusion, as AI continues to evolve and become more accessible, conversational ads represent a promising frontier in digital marketing.

Interested in integrating conversational ads? Reach out to us at ChatADy.com

Detection Mechanisms

Onboarding Validations

To ensure the authenticity and quality of the platforms and ads, several onboarding validation steps are implemented:

• Platform Review
  Each platform that wishes to display conversational ads undergoes a rigorous review process. This involves verifying the platform's legitimacy, ensuring it complies with industry standards, and assessing its suitability for hosting ads. This step is crucial to prevent fraudulent platforms from disseminating malicious or misleading advertisements.
• Ads Review
  Every ad submitted for display is meticulously reviewed to ensure it aligns with legal requirements and ethical standards. This includes checking for truthful representation, adherence to advertising regulations, and overall appropriateness for the target audience. Such scrutiny helps in preventing deceptive or harmful ads from reaching users.

Chat Content

Detecting ad fraud in conversational ads involves analyzing the behavior and patterns within the chat interactions:

• Conversation Style
  Every individual has a unique conversational style, characterized by their choice of words, sentence structure, and interaction patterns. By analyzing these styles, the system can identify discrepancies that may suggest fraudulent behavior. Bots or automated systems typically lack the nuanced variation found in human conversations.
• Chat Uniqueness
  Every user interaction brings unique elements to the conversation. This includes personal preferences, specific inquiries, and individual concerns. By analyzing these unique points, the system can verify the authenticity of the interaction. Repetitive or generic responses that lack uniqueness might signal automated or fraudulent behavior.
• Platform Context
  Conversations on a particular platform often follow a predictable path, especially in the initial stages. For instance, a roleplaying chatbot might always start with a specific greeting. By validating these common paths, the system can detect anomalies that deviate significantly from the norm, indicating potential fraud.

Meta approach

• Timings
  The timing of messages between the user and the chatbot is monitored. Genuine conversations usually have natural delays as users take time to type and respond. Unusually fast response times might indicate automated or scripted interactions, flagging potential fraud.
• Timezones and tiredness and progress
  One crucial aspect of detecting ad fraud in conversational ads is understanding and aligning with users' natural sleep patterns and timezones. Genuine users operate within certain time constraints, reflecting their local timezones. For example, a user in New York will have a different active period compared to someone in Tokyo. By monitoring and aligning with these timezones, the system can identify inconsistencies that may indicate fraudulent activity.

Detecting ad fraud in conversational ads is a multi-faceted process that involves rigorous onboarding validations, meta-analysis of conversation patterns, and detailed content evaluation. These measures ensure that both platforms and advertisements maintain high standards of integrity and effectiveness. For more check other blog posts from us and visit our website.

Subscription-Based Model

In a subscription-based model, users pay a recurring fee to access the services of the chatbot. This could be monthly or annually and often comes with different tiers offering varied levels of service or features.

Advantages:
Predictable Revenue: Provides a steady income stream, which helps in better financial planning and stability. Customer Loyalty: Encourages longer-term relationships with users.

Disadvantages:
High Churn Rate: Users may unsubscribe if they believe they aren't receiving value, leading to high customer turnover. Barrier to Entry: Potential users may be reluctant to sign up for a subscription without first experiencing the chatbot’s effectiveness.

Refilling-Based Model

This model involves users purchasing credits or tokens that they can use to engage with the chatbot. Each interaction deducts from the prepaid balance.

Advantages:
Flexibility for Users: Users can control their spending by only paying for what they use. Appealing to Infrequent Users: Attractive to users who do not require constant interaction with the chatbot.

Disadvantages:
Inconsistent Revenue: Less predictable income as user engagement can vary. User Retention: Requires continuous effort to remind users to refill their balances.

In-App Purchases

Chatbots offer additional features or content that users can purchase directly within the app. This could range from personalized advice to premium functionalities.

Advantages:
Additional Revenue Streams: Opens up multiple channels for income. Enhanced User Engagement: Encourages more interaction with the bot as users explore premium offerings.

Disadvantages:
Dependent on Perceived Value: Success heavily relies on the users’ perceived value of the additional features. Complexity in Offering: May require frequent updates and maintenance to keep the offerings attractive.

Affiliate Marketing

Chatbots recommend products or services to users and earn a commission for every sale made through their referral.

Advantages:
Low Overhead Costs: Does not require stocking products or a sales infrastructure. Passive Income: Once set up, it provides a potential passive income with minimal ongoing effort.

Disadvantages:
Trust Issues: Over-promotion can lead to loss of credibility if users feel the bot is too sales-focused. Dependence on Third Parties: Revenue is dependent on affiliate partners and their terms.

Traditional Advertising

Advertisements are integrated into the chatbot interactions, such as banners or pop-ups.

Advantages:
Immediate Revenue: Quick setup and immediate potential for income. Broad Reach: Ads can reach every user of the chatbot, maximizing visibility.

Disadvantages:
User Experience:
Can be intrusive and negatively impact the user experience. Ad Blindness: Users may ignore ads, reducing their effectiveness.

Conversational Ads

These are more interactive and blend seamlessly into the chatbot’s conversation. They can include sponsored content and responses within the dialogue while providing information back to campaign owner.

Advantages:
High Engagement:
More engaging and less intrusive, leading to better user reception. Better Targeting: Can be tailored to user’s interests and responses, enhancing effectiveness.

Disadvantages:
Complexity in Implementation: Requires sophisticated programming to ensure natural integration. Potential Resistance: Users might still be skeptical about the motives of a conversational ad.

Wrap-Up:

Conversational ads represent a significant innovation in the realm of chatbot monetization. By integrating advertising content into the natural flow of conversation, they offer a less disruptive and potentially more effective way to engage users. This approach could set a new standard for how ads are handled in interactive platforms, balancing profitability with user experience. For more reach to us at ChatAdy.