Etleap alternatives for marketing teams

Marketing teams can use Integrate.io for a wide range of use cases. Some examples include:

• Data warehousing: Integrate.io can consolidate data from multiple sources, such as Google Analytics, Salesforce, and Marketo, into a single data warehouse for easier analysis.
• ETL (Extract, Transform, Load): Integrate.io simplifies the ETL process by providing a user-friendly interface to connect various data sources, transform the data to the desired format, and load it into a database or data warehouse. Customers note that the tool doesn't support some advanced data management features, which can be critical for companies with big data usage.
• Data cleansing: Integrate.io allows users to cleanse data before it is analyzed, ensuring it is accurate and reliable.
• Data migration: Integrate.io can migrate data between different systems, such as moving data from an on-premises database to a cloud-based system.

Integrate.io provides a range of pricing plans starting from $15,000 a year. These plans are based on the number of data connectors, monthly data processed, scheduling frequency, and other criteria. A free trial is included so customers can explore the features and services available before committing to a plan.

Furthermore, Integrate.io offers a custom Enterprise plan designed to fulfill particular requirements. 

Panoply positions itself as a tool for data engineers, analysts, and scientists. Additionally, Panoply can also be used by business analysts, marketers, product managers, and decision-makers who require access to data insights for informed decision-making. 

Thus, the platform can be used for marketing analytics purposes, such as performance tracking, ROI analysis, segmentation, and A/B testing.

A lot of customers complain about Panoply's customer support response time and, in general, about the level of support the team provides during the onboarding and operations. The lack of support means you need to have in-house expertise and IT resources to take care of the platform and make sure the data flows smoothly. 

Panoply.io offers three pricing plans: Lite, Basic, and Standard, covering data warehousing and ETL solutions. Every user gets access to unlimited connectors, rows, and users.

Lite costs $399/month, offering a 1TB data warehouse. Basic charges $1089/month with 2TB of data warehouse storage space and the ability to request custom data connectors. Standard costs $1719/month and offers 4TB of warehouse storage, HIPAA compliance, onboarding with a data architect, warehouse and query support, and custom connector requests.

Dataddo is built for marketing teams and professionals aiming to streamline their data collection, transformation, and analysis processes. The platform can be used for a range of use cases, including:

1. Social media analytics: Dataddo allows businesses to collect data from various social media platforms, such as Facebook, Twitter, Instagram, and LinkedIn. This data can be used to track brand sentiment, measure engagement, and optimize social media marketing campaigns.
2. Advertising analytics: By integrating advertising data from platforms such as Google Ads, Facebook Ads, and LinkedIn Ads, businesses can gain insights into campaign performance, measure ROI, and optimize ad spend.
3. Web analytics: Dataddo can be used to integrate data from web analytics tools, such as Google Analytics, Adobe Analytics, and Piwik PRO. This allows businesses to track website performance, measure user behavior, and optimize website content.

Dataddo pricing is based on the number of data sources and data flows used. Pricing plan allows customers to buy licenses or subscriptions that can be renewed annually or monthly. 

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There are four different types of plans: Free, Data to Dashboards, Data Anywhere, and Headless:

• Free plan allows users to connect up to 10 data sources and synchronize data once per week.
• The paid plans start at $99/month and include additional features, such as higher API call limits, faster data refresh rates, and more data sources.

• For users who need custom plans, Dataddo offers a Headless plan that can be tailored to their specific needs.

Fivetran is designed as a versatile tool that caters to a broad range of customers in different fields. This includes marketers, sales professionals, finance teams, engineers, and product managers, among others.

Fivetran runs on a pay-as-you-use model. This means that you get billed every month for the volume of data you extract, load, and transform through the platform.

Funnel caters to the needs of digital marketers, data analysts/BI experts, and engineering/IT professionals. The platform is used by organizations across agencies, eCommerce stores, and offline retail outlets.

Digital marketers can use Funnel to analyze their marketing efforts more efficiently, while data analysts and BI experts can get an overview of performance across departments. 

Generally speaking, Funnel covers basic data aggregation and export requirements. Companies with advanced tasks may require other solutions or manual input from in-house teams.

Funnel offers two tiers of pricing plans: one for marketers and another for marketing agencies.

The plans for marketers include:

• The Essentials plan (starting at $399 per month, billed annually).
• The Plus plan (starting at $999 per month, billed annually).
• The Enterprise plan (starting at $1,999 per month, billed annually).

Agencies have access to the Agency Small, Medium and Large plans with the same price points as the plans for marketers.

Additionally, Funnel also uses a system of credits called Flexpoints, which can be used to visualize available and used capabilities within their system, such as data connectors, transformation features, and other services. Each plan has a set number of Flexpoints that customers can use throughout their billing cycle. When customers exceed their points, further services are available at an additional price.

Stitch Data caters to small-, medium-, and large-scale organizations across multiple industries. This includes teams working in transportation, consulting, finance, retail, real estate, SaaS, healthcare, marketing, and more.

The platform offers solutions specifically designed for sales, marketing, and product intelligence teams. Stitch Data supports common marketing and sales data source connectors, like Facebook Ads, Google Analytics, HubSpot, Mailchimp, and others. It sources the data necessary for a high-level overview of performance, but the platform may lack sufficient data granularity to dig deep into campaign, page, and ad analytics.  

Product intelligence teams leverage Stitch Data to understand how users interact with products, launch strategies, and ship new features immediately.

The platform offers a few advanced features like multiple destinations, advanced scheduling, and smart cache refreshing, which benefit enterprise companies.

Stitch Stitch Data offers a three-tiered pricing system: Standard, Advanced, and Premium.

Users on the Standard plan can choose to be billed monthly or annually, while users on higher plans pay annually.

For users on the Standard plan, billing starts at $100 for 5 million rows per month and can reach  up to $1250 for 300 million rows. Stitch Data also lets users test run the platform for 14 days, free of charge. However, the free trial is only available on the Standard plan.

The Standard plan is best suited for individuals with minimum requirements for their data pipeline. The plan grants access to 10 out of 130 “standard” data sources. Only users on higher plans can use all of the prebuilt data sources, including “enterprise” sources like Amazon RDS, Oracle, Google Analytics 360, and Workday RaaS. 

Supermetrics is a tool primarily designed for marketing and sales purposes. However, the platform supports only 100 native data source connectors. And even marketers need to double-check if Supermetrics can pull data from all the critical platforms. Alternatively, a team can request a custom connector if the data is accessible through an API. Users can submit requests, vote for data sources suggested by others, and view beta connectors on the Supermetrics Roadmap website.

When opting for Supermetrics, a company should have data analysts on its team to perform manual data transformation tasks and ensure data accuracy. Numerous customers complain about encountering bugs or discovering that the platform failed to retrieve data for weeks without notifying them about the issue.

Supermetrics lacks extensive data transformation features besides Custom Fields, so in-house data analysts will be needed to organize the data and manage the unification of naming conventions when incorporating data from multiple sources into a single report. Existing clients have noted that the platform automatically imports vast data when connecting to a new data source, necessitating manual sorting. 

Supermetrics offers a comprehensive pricing plan based on your preferred data destination. It offers five main destination options: Google Sheets, Supermetrics API, BigQuery, Looker Studio, and Excel.

Each plan has a separate set of pricing plans nested within. For example, the Google Sheets plan starts at $69/month and goes up $579. Enterprise plans for all data sources, BigQuery, and the Supermetrics API come with custom pricing based on your needs.

The platform also has several other destinations you can choose, and pricing depends on the volume of data and the number of users.