Taboola is a discovery-driven content marketing service for both advertisers and publishers that is designed to offer visitors highly personalized external content while they engage with a publisher’s website. Taboola accomplishes this level of personalization through a predictive analysis engine that looks at a wide range of data points, including demographic data, browsing history, purchase history, etc. Then, it chooses and displays the discovery links that are most likely to engage those visitors, thereby increasing the likelihood of conversion.
ChartMogul can turn new and existing business intelligence data into valuable analytics that companies can use to improve their market performance. ChartMogul can take subscriber data - both created within ChartMogul and imported from other data sources - and generate visualized analytics for a variety of metrics that SaaS companies care about.
Popular Use Cases
Bring all your Taboola data to Amazon Redshift
Load your Taboola data to Google BigQuery
ETL all your Taboola data to Snowflake
Move your Taboola data to MySQL
Bring all your ChartMogul data to Amazon Redshift
Load your ChartMogul data to Google BigQuery
ETL all your ChartMogul data to Snowflake
Move your ChartMogul data to MySQL
Taboola's End Points
Manage the details of one or more of your ad campaigns, including the financial details - such as cost-per-click (CPC), spending limit, and daily cap - and preferred targets for the campaign i.e. publishers, countries, platforms, etc. This ensures that your campaigns are personalized for the audience most likely to engage them.
Retrieve performance reports that include advertiser-relevant data - such as CPC, impressions, total clicks, etc. - as well as publisher metrics, like detailed analytics on the revenue that is being generated by a page. This information allows publishers and advertisers to gauge how to best maximize their discovery-based marketing performance.
Request resources that can help set up a campaign on Taboola, including the supported regions and region codes, which platforms are supported, and a dictionary that lists all of the terms that can be used when requesting these resources. Then, use this information to customize a campaign that will provide more effective targeting.
ChartMogul's End Points
Gather data about your subscription plans - like the subscription IDs, names, billing intervals, and the number of intervals that are charged at once - to evaluate the performance of each plan. This will help you better understand the effectiveness of your plans so that you can determine which ones are more or less successful as a whole.
Create, retrieve, or update data for new or imported customers in ChartMogul. This allows you to see important customer contact details, customer IDs, and valuable performance data including a customer’s MRR, ARR, and industry sector. You can then use that data to better segment your customers, which can provide more accurate and specific information about your business performance.
Import invoice data for customers that you are tracking through ChartMogul, including customer IDs, dates of purchase, transactions, and any relevant line items. Then, use ChartMogul to create subscription data for those customers and use that data to track more specific revenue data, both in ChartMogul and in your other data sources.
Track payments or refunds made on an invoice to see the transaction ID, type of transaction, transaction date, and whether or not the transaction was successful. This can help you get more accurate analytics from your invoice data. It can also indicate when there is an unusually high number of refunds, which could signal a problem worth addressing.
Get a list of subscriptions that ChartMogul has automatically generated from invoice data. This endpoint returns several IDs - including subscription IDs, customer IDs, plan IDs, and data source IDs - that will help you to more easily track and integrate data between any of those parameters to create deeper, more accurate business analytics.
Use tags to track terms that are associated with a customer so that you can segment or monitor them more specifically. For example, you could tag a particular customer as “high priority,” “returning” or anything else that is relevant to your business, and then retrieve a list of customers who have been tagged with those attributes in order to analyze them as a segment.
ChartMogul Custom Attributes
Update customer data with ChartMogul custom attributes that are more specific to the needs of your company. This can include both tags as well as more complex custom attributes. Then, track those attributes in ChartMogul to get analytics that are focused on your particular business concerns.