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features
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Description

Digger serves as a robust server-side tracking and attribution solution tailored for e-commerce brands and agencies seeking dependable and privacy-conscious ad performance insights. By capturing events directly from the server of your store, Digger effectively navigates browser restrictions, ad blockers, and the limitations imposed by iOS 14 and later, enabling the recovery of lost conversions. The platform seamlessly integrates with the Meta Conversion API, Google Ads, and TikTok, delivering high-quality, deduplicated events that enhance Event Match Quality (EMQ) and refine campaign optimization. Featuring detailed UTM and click-ID tracking, Digger ensures that every sale is accurately linked to its original source, providing clear and actionable attribution across various channels. Regardless of whether you operate on WooCommerce, Shopify, or another platform, Digger is designed to maximize ROAS, minimize wasted advertising expenditure, and deliver transparent performance analytics. This makes it especially beneficial for growth-oriented brands and agencies managing multiple stores who require precise, trustworthy insights for informed marketing strategies. Ultimately, Digger empowers users to make data-driven decisions that can significantly enhance their overall marketing effectiveness.

Description

Diggernaut serves as a cloud-based platform designed for web scraping, data extraction, and other ETL (Extract, Transform, Load) processes. For resellers who face challenges obtaining data from their suppliers in accessible formats like Excel or CSV, manual data collection from supplier websites becomes a necessity. By simply setting up a digger, a small automated tool, users can efficiently scrape data from various websites, standardize it, and store it in the cloud. After the scraping is completed, users have the option to download their data in formats such as CSV, XLS, or JSON, or even access it through our Rest API. This tool enables the collection of product pricing, relevant information, reviews, and ratings from retail websites. Additionally, it allows users to gather diverse event-related information occurring in various global locations, headlines from multiple news agencies, and government reports from departments like police and fire services, as well as access to legal documents. Ultimately, Diggernaut simplifies the data acquisition process across a wide range of sectors.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$9.99 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Digtective

Founded

2017

Country

Norway

Website

digtective.com

Vendor Details

Company Name

Diggernaut

Founded

2016

Country

United States

Website

www.diggernaut.com

Product Features

Marketing Attribution

Attribution Modeling No 
Audience Segmentation No 
Conversion Tracking No 
Cross-Channel Attribution No 
Customer Journey Mapping No 
Multi-Touch Attribution No 
Predictive Analytics No 
ROI Tracking No 

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction Yes 
Email Address Extraction Yes 
IP Address Extraction Yes 
Image Extraction Yes 
Phone Number Extraction Yes 
Pricing Extraction Yes 
Web Data Extraction Yes 

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