These data provide an accurate high-resolution shoreline compiled from imagery of MUSCONGUS BAY AND SOUTHWESTERN PENOBSCOT BAY, ME . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Customer Journey Mapping Software Market size was valued to be USD 10.8 Billion in the year 2024 and it is expected to reach USD 53.6 Billion in 2032, at a CAGR of 13.8% over the forecast period of 2026 to 2032.

Customer Journey Mapping (CJM) software is a specialist application that helps organizations see and analyze the various stages of a customer's interaction with a firm. This program delivers a full and comprehensive perspective of the customer experience from the first contact to the final encounter allowing businesses to optimize their operations and increase overall customer satisfaction

. The essence of CJM software is its capacity to record and map out the customer journey in a visual manner such as a flowchart or diagram which aids in identifying pain points, understanding customer wants, and aligning business goals appropriately.

The primary application of customer journey mapping software is to improve customer experience (CX). Understanding the various stages and touchpoints of the customer journey allows firms to discover pain points and areas for improvement. For example, if a customer journey map shows that consumers regularly abandon their shopping carts at the payment stage, the company can investigate and fix the problem whether by streamlining the checkout process, providing clearer instructions, or offering more payment options.

CJMS will use advanced analytics to deliver more detailed insights into client behavior and preferences. The integration of big data and predictive analytics will enable organizations to anticipate client wants and identify possible problems before they arise. This proactive strategy will allow businesses to modify their services and interactions in real-time resulting in a smooth and rewarding consumer experience. Businesses will obtain a holistic picture of the consumer journey by analyzing massive volumes of data from multiple touchpoints revealing patterns and trends that can be used to guide strategic choices and optimize marketing efforts.

Enhanced Attention to Customer Experience (CX): The importance of delivering superior customer experiences for sustaining brand loyalty and boosting revenue is increasingly acknowledged by businesses. The ability of customer journey mapping software to enable businesses to pinpoint and refine customer interaction points throughout their journey is leading to enhanced CX and competitive differentiation.

Embracing Omnichannel Marketing: The engagement of modern consumers with brands through diverse platforms (including websites, social media, and mobile apps) is noted. The tracking of these multi-channel interactions and the understanding of customer behavior facilitated by customer journey mapping software assist in tailoring marketing efforts for better engagement.

The Requirement for Insights Based on Data: The necessity for insights driven by data in comprehending customer behavior and preferences is recognized by businesses. Through the aggregation and examination of customer information from various sources, customer journey mapping software offers critical insights for augmenting customer engagement and loyalty.

Regulatory Compliance Demands: Certain sectors are governed by regulations that enforce data privacy and security standards. Tools for meticulous tracking and management of customer information are provided by customer journey mapping software aiding businesses in meeting these regulatory requirements.

Increased Utilization Among SMBs: The adoption of customer journey mapping software previously more common among larger corporations, is now expanding to Small and Medium Businesses (SMBs). The appeal of this technology to a broader business spectrum is being enhanced by cloud-based solutions and subscription models.

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Houma, LA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute So...

These data provide an accurate high-resolution shoreline compiled from imagery of Lynn Canal at the Mouth of Eagle River, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartogr...

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF NIKISKI/KENAI, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attr...

These data provide an accurate high-resolution shoreline compiled from imagery of NOME HARBOR, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Sour...

These data provide an accurate high-resolution shoreline compiled from imagery of Belmont to Baton Rouge, LA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of SOUTHERN REVILLAGIGEDO CHANNEL AND FELICE STRAIT, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coast...

This map shows the relationship between Federal payments toward conservation and wetlands and payments toward producers not including conservation/wetlands. The data is produced by the USDA National Agricultural Statistics Service (USDA).Areas in yellow show where there are high amounts of Federal payments toward Conservation in comparison to other types, whereas areas in light blue have a higher amount of Federal payments toward all other agriculture in comparison to Conservation. Areas in black have an overall high amount of both types of payments. The map uses size to emphasize which counties received the overall largest receipts in US dollars.In 2017, the average farm received an average of $13,906, and conservation/wetland programs received and average of $6,980. These are the central colors of the map in order to anchor the map around the national figure. Areas with a pattern above or below the national average are highlighted by the colors along the edges of the legend (mentioned in the previous paragraph). For more information about Federal payments in 2017, visit this summary table from the USDA.For more information about the relationship mapping style used in this map, visit this blog. About the data and source:The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides a in-depth look at the agricultural industry.This layer summarizes payments made to producers by the Federal government from the 2017 Census of Agriculture at the county level.This layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online.Dataset SummaryPhenomenon Mapped: Payments made to producers by the Federal governmentCoordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017AttributesThis layer provides values for the following attributes. Note that some values are not disclosed (coded as -1 in the layer) to protect the privacy of producers in areas with limited production.Federal Payments - Operations with ReceiptsFederal Payments - Receipts in US DollarsFederal Payments - Receipts in US Dollars per OperationFederal Payments not Including Conservation and Wetland Programs - Operations with ReceiptsFederal Payments not Including Conservation and Wetland Programs - Receipts in US DollarsFederal Payments not Including Conservation and Wetland Programs - Receipts in US Dollars per OperationFederal Payments for Conservation and Wetland Programs - Operations with ReceiptsFederal Payments for Conservation and Wetland Programs - Receipts in US DollarsFederal Payments for Conservation and Wetland Programs - Receipts in US Dollars per OperationConservation and wetland programs include:Conservation Reserve Program (CRP)Wetlands Reserve Program (WRP)Farmable Wetlands Program (FWP)Conservation Reserve Enhancement Program (CREP)Other programs with payments to producers include:2014 Agricultural Act (Farm Bill)Agriculture Risk Coverage (ARC)Price Loss Coverage (PLC)Commodity Credit Corporation (CCC)Loan Deficiency PaymentsDisaster Assistance ProgramsState and local government agricultural program payments and Federal crop insurance payments are not included.Additionally, attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Grand Haven, MI . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF PETERSBURG, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribu...

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF RICHMOND, CA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute...

These data provide an accurate high-resolution shoreline compiled from imagery of ALPENA HARBOR, MI . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of Skagit Bay, Similk Bay to Skagit River South Fork, WA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of CAMP PENDLETON, CA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of WILLAPA BAY, WA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of BAYOU MANDEVILLE TO DELACROIX ISLAND, LA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of New Orleans to Morgan City, LA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of PLEASURE ISLAND, MD . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of CHESAPEAKE AND DELAWARE CANAL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808