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How to connect an API-first loyalty engine with marketing automation? Open Loyalty + Bloomreach example

Thanks to the API-first model and ease of integration, it took under 30 minutes to implement a developer–friendly business case.

How to connect an API-first loyalty engine with marketing automation? Open Loyalty + Bloomreach example

Cezary Olejarczyk
Cezary Olejarczyk
CEO at Open Loyalty
Carlos Oliveira
Carlos Oliveira
Product Marketing Manager
Big cover - How to connect an API-first loyalty engine with marketing automation? Open Loyalty and Bloomreach example

Recently, one partner asked for our technical expertise with a very interesting use case involving automating a loyalty system with different point currencies, multiple tiers, and client communication.

Our solution involved connecting Open Loyalty, the API-first loyalty engine, to Bloomreach, a suite of e-commerce personalization tools. Thanks to the API-first model and ease of integration, it took under 30 minutes to implement a developer–friendly business case. And thanks to the MACH approach adopted by both platforms, the ease of integration is at highest level

The result was successful and is applicable in many similar cases – which inspired us to share details in this blog.

Reading this article

This article has two parts: first a high-level overview of the subject, including a discussion of why integrate marketing automation and loyalty engines at all. 

If you are a developer or have some technical knowledge about APIs and webhooks, feel free to head straight to the second part, where we focus on the implementation of our use case.

Why connect a loyalty engine with marketing automation?

Marketing automation typically includes a loyalty component that is basic and focused on marketing campaigns rather than realizing sophisticated loyalty programs. This all-in-one approach is initially suitable for startups and ideation, but as businesses expand and requirements evolve, it becomes necessary to transition to specialized and flexible solutions.

Integration becomes crucial at this stage, requiring solutions that offer seamless integration without constraining business operations or agility. Opting for MACH vendors and API-first platforms emerges as a favorable option in this regard.

Some benefits of integrating specialized software:

  • Serving Your Business: With API-first tools and the composable approach you can build your unique features and business rules on top of them instead of relying on broad features that address only general cases.
  • Portfolio of Features: The MACH approach allows you to combine the most advanced tools in different areas, such as Marketing Automation and Loyalty Engine, leveraging the best features to support your business;
  • Flexibility and No Vendor Locking: MACH-based tools allows you to easily connect best-in-class solutions, extend with additional platforms, or disconnect and change without vendor locking;
  • Bundled Expertise: Developing MA and Loyalty solutions is hard, as it involves heavy research and constant updates, to name a few assets that you get bundled when acquiring a product. Developing software from scratch likely means reinventing the wheel;

A proper integration can provide operational benefits from day 1. Better yet, you can continuously iterate the connection to make sure it allows the best implementations for your program. This iterative process becomes much easier when using flexible platforms (and that’s why we love the API-first approach so much at Open Loyalty).

But operational efficiency is not the end goal. The next step is leveraging the loyalty engine/marketing automation integration to drive business results and foster a more personalized and rewarding experience for customers:

Common use cases for connecting loyalty engine and marketing automation

Let’s think about some common use cases made possible by a high-quality integration.

  • Cross-Channel Consistency: Loyalty data can inform marketing automation campaigns across email, social media, and other channels, delivering a unified and coherent message to customers regardless of the platform. A great real life case is ALDO, which successfully introduced their loyalty program to offline stores;
  • Referral Program Automation: Loyalty data can be used to identify and reward customers who refer others, while marketing automation ensures timely and personalized communication to both referrers and new customers, maximizing the effectiveness of referral initiatives;
  • Loyalty-Driven Surveys: Automatic deployment of surveys to loyalty program participants. This can provide valuable insights into customer preferences, allowing businesses to fine-tune their marketing strategies based on direct feedback from their most loyal audience;
  • Measurable results: Increased average transaction value by 23% and the average number of transactions by 42%, as seen in our Equiva case study;
  • Automated Rewards: Automated delivery of rewards based on the members’ activity, reducing manual intervention and enhancing the overall user experience;
  • Behavior-Driven Campaigns: Utilizing customer behavior data from the loyalty engine, marketing automation can trigger targeted campaigns. One example is built-in daily, weekly, and monthly streaks that users can complete for rewards, as we achieved together with Ugami;
  • Targeted Communication: Precise targeting based on loyalty program insights, facilitating more focused and effective communication, thus driving engagement.

With that out of the way, let’s get technical.

In practice: connecting Open Loyalty and Bloomreach

The use case

A simplified summary of what our partner required:

Setup

  • Two point currencies: 
  1. “Permanent” – Doesn’t expire;
  2. “Temporary” – Expires after a set amount of time.
  • Three tiers with point thresholds, plus custom tiers:
  1. VIP members – get extra points and their temporary points don’t expire;
  2. Employees with exclusive benefits – receive double points on all activities.

Member activities

  • Purchasing a product awards Permanent points. The amount depends on the product category;
  • If a member loses a tier due to expired points, they receive an opportunity to get more temporary points by using their purchased products in a certain way.

Communication

  • Communication is personalized by combining customer data, transactional, and behavioral data;
  • Important events trigger personalized motivational messages, for example: gaining points and advancing tiers;
  • Event messages can also build urgency and direct members to certain behaviors. For example, when their points are about to expire or if they are about to face a downgrade.

Example of message combining setup, activities and communication:

Hey John,

You're about to lose a 20% discount coming from Gold Tiers as your points will expire in 7 days. To prevent from losing a discount and Gold status, here are some things you can do:

  • Buy ski socks for 10% less than usual (same brand as the last one you bought)
  • Complete the “Active Challenge” and make 2 reviews in the next 7 days

Requirements and assumptions

This example demonstrates the initial stages of designing an integration layer using AWS services, focusing on the connection between Open Loyalty and Bloomreach. 

The emphasis here is on simplicity, with performance, security, and reliability presented as overarching considerations for future iterations. 

API or webhook?

Our use case demands high responsiveness. Relying on traditional API request mechanisms would not be efficient, and webhooks emerge as a solution to address this need, embodying the "don't call us, we call you" pattern.

In contrast to traditional APIs, where data updates necessitate frequent polling, webhooks provide a more efficient alternative. The conventional approach of polling is effective when the timing of data retrieval is known in advance. However, it becomes cumbersome and expensive when searching for real-time updates. Frequent data requests, comparisons, and asynchronous processing can introduce operational complexities and financial overheads that may significantly impact business operations.

Webhooks, in an event-driven setup, enable almost real-time communication communication. The external system notifies your components when an important business event happens, eliminating constant polling. This proactive system enhances efficiency and responsiveness, informing your system about business events in real-time for seamless synchronization. This event-driven model streamlines communication and promotes a cost-effective integration of components in your business architecture.

Overview

Example integration architecture/data flow


Example integration architecture and data flow involving Open Loyalty and Bloomreach

Step-by-step implementation

For a quick start, the AWS console allows users to build the integration within a browser, bypassing the need for advanced Terraform or Terragrunt knowledge. While NodeJS is showcased for AWS Lambda, the service supports various languages. 

This basic example serves as a starting point, with room for refinement and consideration of performance and security complexities in subsequent integration phases.


export const handler = (event, context, callback) => {
    event.data = JSON.stringify({
      "customer_ids": {
        "registered": event.data.customer.email,
      },
      "properties": {
        "tier_id": event.data.level.levelId,
        "tier_name": event.data.level.name,
        "tenant_code": event.storeCode,
        "levelMove": (event.data.level.levelMoveUp == true) ? 'up' :'down',
      },
      "event_type": "loyalty_challenge"
    });
    event.options = {
        hostname: 'api-demoapp.exponea.com',
        path: '/track/v2/projects/{projectId}/customers/events',
        method: 'POST',
        headers: {
            'accept': 'application/json',
            'Content-Type': 'application/json',
            'Content-Length': event.data.length,
            'Authorization': 'Basic XXXX', // Put authorization header here
          },
    };
    
    const req = https.request(event.options, (res) => {
        let body = '';
        res.setEncoding('utf8');
        res.on('data', (chunk) => body += chunk);
        res.on('end', () => {
            // If we know it's JSON, parse it
            if (res.headers['content-type'] === 'application/json') {
                body = JSON.parse(body);
            }
            callback(null, body);
        });
    });
    req.on('error', callback);
    req.write(event.data);
    req.end();
};

Exchanging data between systems

Open Loyalty is an active system here. As an event-driven engine, Open Loyalty detects an important business event, “Tier upgrade”.

Payload


{
  "eventName": "string",
  "storeCode": "string",
  "createdAt": "2019-08-24T14:15:22Z",
  "data": {
    "customer": {
      "customerId": "string",
      "email": "string",
      "phone": "string",
      "loyaltyCardNumber": "string"
    },
    "level": {
      "levelId": "string",
      "name": "string",
      "levelMoveUp": true,
      "levelMoveDown": false
    }
  }
}

Open Loyalty uses a webhook subscription pattern. With this pattern, you define the event and destination for that event. Additionally, you should add authorization headers to protect yourself from potential fraudulent calls.

AWS Lambda is one of the examples of a destination. It can be literally anything as long as it has a URL and accepts JSON payload over HTTPS (recommended) protocol. Here we used AWS API Gateway to create a URL and pointed it to the AWS Lambda function written in NodeJS that accepts Open Loyalty’s webhook and transforms it to an API call to Bloomreach to trigger configured actions based on this call. 

Don’t forget

Here are some of the crucial parts to consider, like performance, throttling, and security. Using AWS can solve some of them if you want to quickly integrate two systems and leverage existing cloud providers. However, you can use anything like Mule, Zapier or even your own on-premise solutions. 

Security is crucial here: you need to check if the webhook is coming from trusted sources like Open Loyalty by checking authorization headers. The same goes for communication to Bloomreach. Ideally, the code should not contain credentials but should be checked against a secure storage like AWS Secret Manager.

AWS Lambda-Bloomreach API calls

AWS Lambda sends secure API calls to Bloomreach along with API User and API Secret and correct payload

Payload


{
    "customer_ids": {
        "registered": "john.doe@example.com"
    },
    "properties": {
        "tier_id": "1bc6adfc-d9a1-4b87-b371-da1468db602d",
        "tier_name": "Gold",
        "tenant_code": "Germany",
        "levelMove": "up",
    },
    "event_type": "loyalty_challenge"
}

Finally, Bloomreach does the job based on the event. It can be anything from adding to a Segment to sending a notification to the end user, whether a push notification, SMS or just an e-mail congratulating for gaining a higher tier in the loyalty program.

It’s important to recognize this achievement and maintain a loyal relationship with your customers. 

Where to go from here?

Remember that this is a simple example of how to integrate two systems in under 30 minutes and achieve business goals.

While we can’t go into further technical details about our real-life implementation, here are our recommended next steps:

  • To increase the security of your integration, consider secret managers or vaults like AWS Secret Manager;
  • Things can go south, so think about how to increase the resilience of your integration. Adding queues like AWS SQS and retry patterns is a must-have if you think about the high reliability of your integration;
  • The integration layer can become quite complex quickly. So think about automation, using Infrastructure as a Code (IaaC), and proper testing;
  • Serverless functions are a great way to start but can be not enough if you need more complex integration requiring advanced workflows, dependencies, or logical units. Then AWS Simple Workflow Service, Zapier, or on-premise solutions like Mule are a way to go. 

Summary and conclusion

Being able to help our partner achieve their business goals was very rewarding, and we couldn’t pass up the opportunity to share such an interesting use case.

As mentioned, the implementation shown here is only the start – the reality includes many additional steps, from security checks to specific implementations. However, the basis really did take only 30 minutes to code. Thanks to technical expertise and the flexibility of API-first platforms.

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How to connect an API-first loyalty engine with marketing automation? Open Loyalty + Bloomreach example

Contributors
Cezary Olejarczyk
CEO at Open Loyalty
Carlos Oliveira
Product Marketing Manager
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Recently, one partner asked for our technical expertise with a very interesting use case involving automating a loyalty system with different point currencies, multiple tiers, and client communication.

Our solution involved connecting Open Loyalty, the API-first loyalty engine, to Bloomreach, a suite of e-commerce personalization tools. Thanks to the API-first model and ease of integration, it took under 30 minutes to implement a developer–friendly business case. And thanks to the MACH approach adopted by both platforms, the ease of integration is at highest level

The result was successful and is applicable in many similar cases – which inspired us to share details in this blog.

Reading this article

This article has two parts: first a high-level overview of the subject, including a discussion of why integrate marketing automation and loyalty engines at all. 

If you are a developer or have some technical knowledge about APIs and webhooks, feel free to head straight to the second part, where we focus on the implementation of our use case.

Why connect a loyalty engine with marketing automation?

Marketing automation typically includes a loyalty component that is basic and focused on marketing campaigns rather than realizing sophisticated loyalty programs. This all-in-one approach is initially suitable for startups and ideation, but as businesses expand and requirements evolve, it becomes necessary to transition to specialized and flexible solutions.

Integration becomes crucial at this stage, requiring solutions that offer seamless integration without constraining business operations or agility. Opting for MACH vendors and API-first platforms emerges as a favorable option in this regard.

Some benefits of integrating specialized software:

  • Serving Your Business: With API-first tools and the composable approach you can build your unique features and business rules on top of them instead of relying on broad features that address only general cases.
  • Portfolio of Features: The MACH approach allows you to combine the most advanced tools in different areas, such as Marketing Automation and Loyalty Engine, leveraging the best features to support your business;
  • Flexibility and No Vendor Locking: MACH-based tools allows you to easily connect best-in-class solutions, extend with additional platforms, or disconnect and change without vendor locking;
  • Bundled Expertise: Developing MA and Loyalty solutions is hard, as it involves heavy research and constant updates, to name a few assets that you get bundled when acquiring a product. Developing software from scratch likely means reinventing the wheel;

A proper integration can provide operational benefits from day 1. Better yet, you can continuously iterate the connection to make sure it allows the best implementations for your program. This iterative process becomes much easier when using flexible platforms (and that’s why we love the API-first approach so much at Open Loyalty).

But operational efficiency is not the end goal. The next step is leveraging the loyalty engine/marketing automation integration to drive business results and foster a more personalized and rewarding experience for customers:

Common use cases for connecting loyalty engine and marketing automation

Let’s think about some common use cases made possible by a high-quality integration.

  • Cross-Channel Consistency: Loyalty data can inform marketing automation campaigns across email, social media, and other channels, delivering a unified and coherent message to customers regardless of the platform. A great real life case is ALDO, which successfully introduced their loyalty program to offline stores;
  • Referral Program Automation: Loyalty data can be used to identify and reward customers who refer others, while marketing automation ensures timely and personalized communication to both referrers and new customers, maximizing the effectiveness of referral initiatives;
  • Loyalty-Driven Surveys: Automatic deployment of surveys to loyalty program participants. This can provide valuable insights into customer preferences, allowing businesses to fine-tune their marketing strategies based on direct feedback from their most loyal audience;
  • Measurable results: Increased average transaction value by 23% and the average number of transactions by 42%, as seen in our Equiva case study;
  • Automated Rewards: Automated delivery of rewards based on the members’ activity, reducing manual intervention and enhancing the overall user experience;
  • Behavior-Driven Campaigns: Utilizing customer behavior data from the loyalty engine, marketing automation can trigger targeted campaigns. One example is built-in daily, weekly, and monthly streaks that users can complete for rewards, as we achieved together with Ugami;
  • Targeted Communication: Precise targeting based on loyalty program insights, facilitating more focused and effective communication, thus driving engagement.

With that out of the way, let’s get technical.

How to connect an API-first loyalty engine with marketing automation? Open Loyalty + Bloomreach example

Cezary Olejarczyk
Cezary Olejarczyk
CEO at Open Loyalty
Carlos Oliveira
Carlos Oliveira
Product Marketing Manager
Big cover - How to connect an API-first loyalty engine with marketing automation? Open Loyalty and Bloomreach example

Recently, one partner asked for our technical expertise with a very interesting use case involving automating a loyalty system with different point currencies, multiple tiers, and client communication.

Our solution involved connecting Open Loyalty, the API-first loyalty engine, to Bloomreach, a suite of e-commerce personalization tools. Thanks to the API-first model and ease of integration, it took under 30 minutes to implement a developer–friendly business case. And thanks to the MACH approach adopted by both platforms, the ease of integration is at highest level

The result was successful and is applicable in many similar cases – which inspired us to share details in this blog.

Reading this article

This article has two parts: first a high-level overview of the subject, including a discussion of why integrate marketing automation and loyalty engines at all. 

If you are a developer or have some technical knowledge about APIs and webhooks, feel free to head straight to the second part, where we focus on the implementation of our use case.

Why connect a loyalty engine with marketing automation?

Marketing automation typically includes a loyalty component that is basic and focused on marketing campaigns rather than realizing sophisticated loyalty programs. This all-in-one approach is initially suitable for startups and ideation, but as businesses expand and requirements evolve, it becomes necessary to transition to specialized and flexible solutions.

Integration becomes crucial at this stage, requiring solutions that offer seamless integration without constraining business operations or agility. Opting for MACH vendors and API-first platforms emerges as a favorable option in this regard.

Some benefits of integrating specialized software:

  • Serving Your Business: With API-first tools and the composable approach you can build your unique features and business rules on top of them instead of relying on broad features that address only general cases.
  • Portfolio of Features: The MACH approach allows you to combine the most advanced tools in different areas, such as Marketing Automation and Loyalty Engine, leveraging the best features to support your business;
  • Flexibility and No Vendor Locking: MACH-based tools allows you to easily connect best-in-class solutions, extend with additional platforms, or disconnect and change without vendor locking;
  • Bundled Expertise: Developing MA and Loyalty solutions is hard, as it involves heavy research and constant updates, to name a few assets that you get bundled when acquiring a product. Developing software from scratch likely means reinventing the wheel;

A proper integration can provide operational benefits from day 1. Better yet, you can continuously iterate the connection to make sure it allows the best implementations for your program. This iterative process becomes much easier when using flexible platforms (and that’s why we love the API-first approach so much at Open Loyalty).

But operational efficiency is not the end goal. The next step is leveraging the loyalty engine/marketing automation integration to drive business results and foster a more personalized and rewarding experience for customers:

Common use cases for connecting loyalty engine and marketing automation

Let’s think about some common use cases made possible by a high-quality integration.

  • Cross-Channel Consistency: Loyalty data can inform marketing automation campaigns across email, social media, and other channels, delivering a unified and coherent message to customers regardless of the platform. A great real life case is ALDO, which successfully introduced their loyalty program to offline stores;
  • Referral Program Automation: Loyalty data can be used to identify and reward customers who refer others, while marketing automation ensures timely and personalized communication to both referrers and new customers, maximizing the effectiveness of referral initiatives;
  • Loyalty-Driven Surveys: Automatic deployment of surveys to loyalty program participants. This can provide valuable insights into customer preferences, allowing businesses to fine-tune their marketing strategies based on direct feedback from their most loyal audience;
  • Measurable results: Increased average transaction value by 23% and the average number of transactions by 42%, as seen in our Equiva case study;
  • Automated Rewards: Automated delivery of rewards based on the members’ activity, reducing manual intervention and enhancing the overall user experience;
  • Behavior-Driven Campaigns: Utilizing customer behavior data from the loyalty engine, marketing automation can trigger targeted campaigns. One example is built-in daily, weekly, and monthly streaks that users can complete for rewards, as we achieved together with Ugami;
  • Targeted Communication: Precise targeting based on loyalty program insights, facilitating more focused and effective communication, thus driving engagement.

With that out of the way, let’s get technical.

In practice: connecting Open Loyalty and Bloomreach

The use case

A simplified summary of what our partner required:

Setup

  • Two point currencies: 
  1. “Permanent” – Doesn’t expire;
  2. “Temporary” – Expires after a set amount of time.
  • Three tiers with point thresholds, plus custom tiers:
  1. VIP members – get extra points and their temporary points don’t expire;
  2. Employees with exclusive benefits – receive double points on all activities.

Member activities

  • Purchasing a product awards Permanent points. The amount depends on the product category;
  • If a member loses a tier due to expired points, they receive an opportunity to get more temporary points by using their purchased products in a certain way.

Communication

  • Communication is personalized by combining customer data, transactional, and behavioral data;
  • Important events trigger personalized motivational messages, for example: gaining points and advancing tiers;
  • Event messages can also build urgency and direct members to certain behaviors. For example, when their points are about to expire or if they are about to face a downgrade.

Example of message combining setup, activities and communication:

Hey John,

You're about to lose a 20% discount coming from Gold Tiers as your points will expire in 7 days. To prevent from losing a discount and Gold status, here are some things you can do:

  • Buy ski socks for 10% less than usual (same brand as the last one you bought)
  • Complete the “Active Challenge” and make 2 reviews in the next 7 days

Requirements and assumptions

This example demonstrates the initial stages of designing an integration layer using AWS services, focusing on the connection between Open Loyalty and Bloomreach. 

The emphasis here is on simplicity, with performance, security, and reliability presented as overarching considerations for future iterations. 

API or webhook?

Our use case demands high responsiveness. Relying on traditional API request mechanisms would not be efficient, and webhooks emerge as a solution to address this need, embodying the "don't call us, we call you" pattern.

In contrast to traditional APIs, where data updates necessitate frequent polling, webhooks provide a more efficient alternative. The conventional approach of polling is effective when the timing of data retrieval is known in advance. However, it becomes cumbersome and expensive when searching for real-time updates. Frequent data requests, comparisons, and asynchronous processing can introduce operational complexities and financial overheads that may significantly impact business operations.

Webhooks, in an event-driven setup, enable almost real-time communication communication. The external system notifies your components when an important business event happens, eliminating constant polling. This proactive system enhances efficiency and responsiveness, informing your system about business events in real-time for seamless synchronization. This event-driven model streamlines communication and promotes a cost-effective integration of components in your business architecture.

Overview

Example integration architecture/data flow


Example integration architecture and data flow involving Open Loyalty and Bloomreach

Step-by-step implementation

For a quick start, the AWS console allows users to build the integration within a browser, bypassing the need for advanced Terraform or Terragrunt knowledge. While NodeJS is showcased for AWS Lambda, the service supports various languages. 

This basic example serves as a starting point, with room for refinement and consideration of performance and security complexities in subsequent integration phases.


export const handler = (event, context, callback) => {
    event.data = JSON.stringify({
      "customer_ids": {
        "registered": event.data.customer.email,
      },
      "properties": {
        "tier_id": event.data.level.levelId,
        "tier_name": event.data.level.name,
        "tenant_code": event.storeCode,
        "levelMove": (event.data.level.levelMoveUp == true) ? 'up' :'down',
      },
      "event_type": "loyalty_challenge"
    });
    event.options = {
        hostname: 'api-demoapp.exponea.com',
        path: '/track/v2/projects/{projectId}/customers/events',
        method: 'POST',
        headers: {
            'accept': 'application/json',
            'Content-Type': 'application/json',
            'Content-Length': event.data.length,
            'Authorization': 'Basic XXXX', // Put authorization header here
          },
    };
    
    const req = https.request(event.options, (res) => {
        let body = '';
        res.setEncoding('utf8');
        res.on('data', (chunk) => body += chunk);
        res.on('end', () => {
            // If we know it's JSON, parse it
            if (res.headers['content-type'] === 'application/json') {
                body = JSON.parse(body);
            }
            callback(null, body);
        });
    });
    req.on('error', callback);
    req.write(event.data);
    req.end();
};

Exchanging data between systems

Open Loyalty is an active system here. As an event-driven engine, Open Loyalty detects an important business event, “Tier upgrade”.

Payload


{
  "eventName": "string",
  "storeCode": "string",
  "createdAt": "2019-08-24T14:15:22Z",
  "data": {
    "customer": {
      "customerId": "string",
      "email": "string",
      "phone": "string",
      "loyaltyCardNumber": "string"
    },
    "level": {
      "levelId": "string",
      "name": "string",
      "levelMoveUp": true,
      "levelMoveDown": false
    }
  }
}

Open Loyalty uses a webhook subscription pattern. With this pattern, you define the event and destination for that event. Additionally, you should add authorization headers to protect yourself from potential fraudulent calls.

AWS Lambda is one of the examples of a destination. It can be literally anything as long as it has a URL and accepts JSON payload over HTTPS (recommended) protocol. Here we used AWS API Gateway to create a URL and pointed it to the AWS Lambda function written in NodeJS that accepts Open Loyalty’s webhook and transforms it to an API call to Bloomreach to trigger configured actions based on this call. 

Don’t forget

Here are some of the crucial parts to consider, like performance, throttling, and security. Using AWS can solve some of them if you want to quickly integrate two systems and leverage existing cloud providers. However, you can use anything like Mule, Zapier or even your own on-premise solutions. 

Security is crucial here: you need to check if the webhook is coming from trusted sources like Open Loyalty by checking authorization headers. The same goes for communication to Bloomreach. Ideally, the code should not contain credentials but should be checked against a secure storage like AWS Secret Manager.

AWS Lambda-Bloomreach API calls

AWS Lambda sends secure API calls to Bloomreach along with API User and API Secret and correct payload

Payload


{
    "customer_ids": {
        "registered": "john.doe@example.com"
    },
    "properties": {
        "tier_id": "1bc6adfc-d9a1-4b87-b371-da1468db602d",
        "tier_name": "Gold",
        "tenant_code": "Germany",
        "levelMove": "up",
    },
    "event_type": "loyalty_challenge"
}

Finally, Bloomreach does the job based on the event. It can be anything from adding to a Segment to sending a notification to the end user, whether a push notification, SMS or just an e-mail congratulating for gaining a higher tier in the loyalty program.

It’s important to recognize this achievement and maintain a loyal relationship with your customers. 

Where to go from here?

Remember that this is a simple example of how to integrate two systems in under 30 minutes and achieve business goals.

While we can’t go into further technical details about our real-life implementation, here are our recommended next steps:

  • To increase the security of your integration, consider secret managers or vaults like AWS Secret Manager;
  • Things can go south, so think about how to increase the resilience of your integration. Adding queues like AWS SQS and retry patterns is a must-have if you think about the high reliability of your integration;
  • The integration layer can become quite complex quickly. So think about automation, using Infrastructure as a Code (IaaC), and proper testing;
  • Serverless functions are a great way to start but can be not enough if you need more complex integration requiring advanced workflows, dependencies, or logical units. Then AWS Simple Workflow Service, Zapier, or on-premise solutions like Mule are a way to go. 

Summary and conclusion

Being able to help our partner achieve their business goals was very rewarding, and we couldn’t pass up the opportunity to share such an interesting use case.

As mentioned, the implementation shown here is only the start – the reality includes many additional steps, from security checks to specific implementations. However, the basis really did take only 30 minutes to code. Thanks to technical expertise and the flexibility of API-first platforms.

Interested in discussing how to integrate a loyalty engine into your tech stack?

Tell us about your challenges and we will together

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