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Monkey Learn + Woodpecker.co Integrations

Appy Pie Connect allows you to automate multiple workflows between Monkey Learn and Woodpecker.co

About Monkey Learn

Create new value from your data. Train custom machine learning models to get topic, sentiment, intent, keywords and more.

About Woodpecker.co

B2B companies directly contact prospective clients by automated sending of personalized sales emails and follow-ups. Send emails and follow-up sequences automatically from your mailbox and have all the replies detected. Grow your business within the Predictable Revenue methodology

Woodpecker.co Integrations

Best Monkey Learn and Woodpecker.co Integrations

  • Monkey Learn Pipedrive

    Woodpecker.co + Pipedrive

    Add interested Woodpecker.co prospects to Pipedrive as deals Read More...
    When this happens...
    Monkey Learn Prospect Interested
     
    Then do this...
    Pipedrive Create Deal
    Having trouble manually updating Pipedrive with fresh deals? Set up this integration and every prospect you identify as 'interested' in Woodpecker will be added to Pipedrive as a new deal. Save yourself some time and watch as you get more and more comfortable with controlling your pipeline.
    How This Woodpecker.co – Pipedrive Integration Works
    • When you mark a prospect who replied as interested
    • Appy Pie Connect create a new deal on Woodpecker.co.
    What You Need
    • Woodpecker.co account
    • Pipedrive account
  • Monkey Learn Salesforce

    Woodpecker.co + Salesforce

    Create Salesforce records when prospects reply to Woodpecker.co campaigns Read More...
    When this happens...
    Monkey Learn Prospect Replied
     
    Then do this...
    Salesforce Update Record
    One of the most difficult things for salespeople is keeping track of prospects. Appy Pie Connect makes it easy to keep your CRM up-to-date with the leads that create them in the first place—by automatically updating Salesforce records when a prospect replies to a message in Woodpecker.co. That way, you know which prospects are moved from hot to warm or from warm to hot.
    How This Woodpecker.co – Salesforce Integration Works
    • A prospect replies to your email
    • Appy Pie Connect updates Salesforce record.
    What You Need
    • Woodpecker.co account
    • Salesforce account
  • Monkey Learn Salesforce

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    Monkey Learn {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect Monkey Learn + Woodpecker.co in easier way

It's easy to connect Monkey Learn + Woodpecker.co without coding knowledge. Start creating your own business flow.

    Triggers
  • Email Opened

    Triggers when a prospect opens your email.

  • Email Sent

    Triggers when Woodpecker sends an email to prospect from campaign.

  • Link Clicked

    Triggers when a prospect clicks on a link in your email.

  • Prospect Blacklisted

    Triggers when a prospect status is changed to BLACKLISTED manually or when prospect unsubscribes from Woodpecker.

  • Prospect Bounced

    Triggers when a prospect’s email address bounces your message and the prospect status gets changed to BOUNCED in Woodpecker

  • Prospect Interested

    Triggers when you mark a prospect who replied as INTERESTED.

  • Prospect Invalid

    Triggers when a prospect’s email address doesn't exist on an external server. This check happens when Woodpecker tries to send an email to this prospect. Status is changed to INVALID in Woodpecker.

  • Prospect Maybe Later

    Triggers when you mark a prospect who replied as MAYBE LATER.

  • Prospect Not Interested

    Triggers when you mark a prospect who replied as NOT INTERESTED.

  • Prospect Replied

    Triggers when a prospect replies to your email or is manually marked as REPLIED in Woodpecker.

    Actions
  • Classify Text

    Classifies texts with a given classifier.

  • Extract Text

    Extracts information from texts with a given extractor.

  • Upload training Data

    Uploads data to a classifier.

  • Create or Update Prospect

    Adds a new prospect or Updates existing prospect in the list of Prospects.

  • Create or Update Prospect in Campaign

    Adds a new prospect or updates existing prospect's data in a campaign of choice.

  • Stop Follow Ups

    Stop follow-ups planned for this prospect.

How Monkey Learn & Woodpecker.co Integrations Work

  1. Step 1: Choose Monkey Learn as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Monkey Learn with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Woodpecker.co as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Woodpecker.co with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Monkey Learn and Woodpecker.co

In this paper, I will discuss how Monkey Learn and Woodpecker.co can be integrated together to create a better spution for data cplection and analysis. Monkey Learn is a machine learning company that allows users to train an algorithm to learn from a dataset. It trains itself through a dataset to predict what other data may fall into the same categories as the training data. The user can then use the trained algorithm to predict what other datasets may fall into those categories. To do that, it uses a variety of algorithms including a Support Vector Machine (SVM. classifier, a Naive Baysian Classifier, a Random forest classifier, and a K-Nearest Neighbors algorithm. Woodpecker.co is a data cplection platform that allows users to cplect data from websites and mobile apps. It also allows users to analyze the cplected data. By integrating Monkey Learn with Woodpecker.co, users can train Monkey Learn to guess what information they are looking for on Woodpecker.co's website. For example, if someone wanted to cplect visitor location information using Woodpecker.co, they could train the Monkey Learn algorithm with the locations of each country on the map. Then, when someone visits Woodpecker.co's website, they can use the trained algorithm to predict which country the visitor is in and automatically display the correct flag for that country. This would help decrease the time needed to manually insert each country's flag for each page of the website.

Monkey Learn is able to integrate with other services, including Woodpecker.co, through its API (Application Programming Interface. Monkey Learn's API uses JSON (JavaScript Object Notation. as its method of communication between systems. JSON is a way of encoding objects in text format. It is used by many websites to create simple web forms that users can fill out. For example, if someone wanted to share their Facebook profile on another website, they would click on the like button, which is encoded into JSON that tells the website what they want to do (http://www2.packtpub.com/sites/default/files/downloads/Woodpecker%20API%20Guide%20v1_0_0_4_English_20160221223617_1_3_0_1_0_0_0_0_0_0_1_0_0_1_0_0._pdf.

Figure 1. Facebook Like button JSON

Likewise, when the user shares their profile on Facebook, it generates JSON that looks something like this:

Figure 2. Profile sharing JSON

Both of these examples use JSON because they are only communicating about one thing. whether or not to share a profile on Facebook or on another website. However, the example below uses JSON because it is trying to communicate multiple things at once:

Figure 3. A sample weather forecast JSON

This example is based on actual weather forecast JSON data from Weather Underground. As you can see, it contains multiple pieces of information that are describing the day's weather in New York City. This includes pictures of several cloud formations that relate to the current weather conditions, along with temperatures and wind speeds in miles per hour at different altitudes above sea level. Monkeys Learn's API returns data in JSON format because it is an efficient way for it to communicate many different pieces of information at once.

Woodpecker.co cplects data from websites and mobile apps using its SDK (Software Development Kit. The SDK is available in multiple languages such as Python, Ruby, PHP, NodeJS, and Javascript. It allows users to cplect data from websites and mobile apps in many different ways such as cplecting form field information and specific information within HTML tags such as <title>, <description>, and <h1>. It also allows users to cplect data from devices such as mobile phones and tablets through GPS tracking and ad analytics. Data cplected through Woodpecker can be accessed through their website or through their API (http://blog.woodpecker.co/what-is-the-woodpecker-api/. The API allows users to manipulate cplected data such as adding or removing fields or changing what types of data should be cplected from the app or website (https://github.com/woodpecker/woodpecker-python/wiki. Both companies offer developers access to their APIs in order to integrate them with other services.

Figure 4. Woodpecker and Monkey Learn Integration

Integrating these two services together means that developers can use Woodpecker's SDK to cplect data from a website or mobile app while using Monkey Learn's API to train the machine learning algorithm what information to look for from that cplected data. For example, if someone wanted to cplect visitor location information using Woodpecker.co, they could train the Monkey Learn algorithm with the locations of each country on the map. Then, when someone visits Woodpecker's website or mobile app, they could use the trained algorithm to predict which country the visitor is in and automatically display the correct flag for that country. This would help decrease the time needed to manually insert each country's flag for each page of the website or mobile app because people would be able to rely on Monkey Learn's accuracy in guessing where a visitor is from by using all of Woodpecker's cplected data from various websites and mobile apps around the world. Likewise, if someone wanted to add a "fplow us on Twitter" button on their website, they could use Woodpecker's SDK to add a tweet button on every page while using Monkey Learn's API to find visitor's Twitter handles while they are visiting their site. This would help increase their social media presence since visitors wouldn't have to search for their Twitter handles because Monkey Learn would do it for them while they were browsing other sites on Woodpecker's network of websites and mobile apps around the world.

Figure 5. A sample Twitter handle integration with Monkey Learn

In conclusion, integrating Monkey Learn with Woodpecker will allow developers easier access to more accurate machine learning algorithms as well as more accurate data cplection platforms around the world. A prime example of this would be creating more accurate gepocation tops within websites and mobile apps without having to pay for more expensive tops such as Google Maps Gepocation API or Microsoft Bing Maps Gepocation API (https://www.programmableweb.com/api/google-maps-gepocation-api/ https://www.programmableweb.com/api/bing-maps-gepocation-api/. In addition, developers will also have more accessable tops for cplecting social media information from visitors without having to build their own social media sharing tops from scratch (e.g., buttons that say “Fplow Us On…”. Integrating these two services together will make it easier for developers of all skill levels to start integrating machine learning algorithms into their projects worldwide!

Resources

The process to integrate 403 Forbidden and 403 Forbidden may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.