Young consumers were more likely to make impulse purchases, as revealed in a survey conducted in August 2023. Over 29 percent of respondents in their twenties stated that they would make purchases on impulse without a plan. In contrast, the share was 20 percent lower among consumers aged 70 to 74 years.

As a public agency, the Office of the Chief Procurement Officer welcomes all vendors to participate in the open and competitive process. The buying plan contains hundreds of great opportunities for vendors to do business with Cook County. The buying plan includes information on numerous County projects and needs. You will find useful information on the department requesting proposals, project descriptions, value of contract, advertising date, and various Minority, Women and Veteran Business Enterprise subcontracting opportunities. OCPO encourages all potential vendors to use the information provided in the plan to assist them in future procurement efforts. Please contact Procurement staff or visit our website at https://www.cookcountyil.gov/procurement with any questions regarding procurement and contracting.

The State Contract and Procurement Registration System (SCPRS) was established in 2003, as a centralized database of information on State contracts and purchases over $5000. eSCPRS represents the data captured in the State's eProcurement (eP) system, Bidsync, as of March 16, 2009. The data provided is an extract from that system for fiscal years 2012-2013, 2013-2014, and 2014-2015

Data Limitations:
Some purchase orders have multiple UNSPSC numbers, however only first was used to identify the purchase order. Multiple UNSPSC numbers were included to provide additional data for a DGS special event however this affects the formatting of the file. The source system Bidsync is being deprecated and these issues will be resolved in the future as state systems transition to Fi$cal.

Data Collection Methodology:

The data collection process starts with a data file from eSCPRS that is scrubbed and standardized prior to being uploaded into a SQL Server database. There are four primary tables. The Supplier, Department and United Nations Standard Products and Services Code (UNSPSC) tables are reference tables. The Supplier and Department tables are updated and mapped to the appropriate numbering schema and naming conventions. The UNSPSC table is used to categorize line item information and requires no further manipulation. The Purchase Order table contains raw data that requires conversion to the correct data format and mapping to the corresponding data fields. A stacking method is applied to the table to eliminate blanks where needed. Extraneous characters are removed from fields. The four tables are joined together and queries are executed to update the final Purchase Order Dataset table. Once the scrubbing and standardization process is complete the data is then uploaded into the SQL Server database.

Secondary/Related Resources:

• State Contract Manual (SCM) vol. 2 http://www.dgs.ca.gov/pd/Resources/publications/SCM2.aspx
• State Contract Manual (SCM) vol. 3 http://www.dgs.ca.gov/pd/Resources/publications/SCM3.aspx
• Buying Green http://www.dgs.ca.gov/buyinggreen/Home.aspx
• United Nations Standard Products and Services Code, http://www.unspsc.org/

The emergence of new media and the shift away from traditional media toward digital services has particularly prompted a change in media buying strategies. Since almost all companies are undergoing a digital transformation, media buying agencies must specialize in online advertising to adapt to the changing media landscape. Data-driven insights and programmatic advertising have propelled the industry forward. With rising consumer spending and corporate profit, businesses increasingly pour more resources into advertising to capture larger market shares. Media buying agencies have been riding this wave, capitalizing on the surging demand. Media Buying Agencies revenue has increased at a CAGR of 3.3% to a total of $13.8 billion in 2025, including an estimated 1.9% in the current year, while profit reaches 6.5%. The industry has witnessed rapid transformation driven by digital innovation and shifting consumer behaviors. Advertisers have gravitated toward digital platforms, spurred by the drastic transition from traditional media. This shift resulted in digital spending overtaking traditional media investments, with giants like Facebook, Google, and Amazon capturing significant market shares. The emergence of programmatic ad buying and data analytics has revolutionized how agencies target audiences, allowing for more precise and efficient campaigns. Amid this evolution, consolidation among major players like Omnicom and WPP has heightened competition, pushing smaller firms toward niche markets or out of the industry altogether. These dynamics have underscored the importance of adapting to technological advancements and economic changes to remain competitive. Over the next five years, businesses are poised to increase their advertising budgets to capitalize on rising consumer activity, providing significant opportunities for media buying agencies. The phase-out of third-party cookies and increasing emphasis on first-party data will drive agencies to focus on privacy-compliant strategies, while AI-driven programmatic advertising will continue to transform the industry. Agencies will expand services, offering integrated, multi-channel strategies and leveraging influencer marketing to tap into niche markets. The expansion of digital platforms has given access to niche markets that were harder to reach in the past. Companies increasingly turn to media buying agencies to seek integrated marketing solutions that harness cross-platform potential, driving revenue growth. Nonetheless, the proliferation of digital ad space, declining prices and waning demand for traditional advertising will limit industry growth. Overall, industry revenue is poised to hike at a CAGR of 1.8% to $15.1 billion in 2030.

The Buying Plan shows what the City of Boston plans to purchase in the next year. The Buying Plan is intended to give a broad sense of what we are planning to purchase, but have not advertised or published bid documents for. We will continue to add opportunities as more information becomes available. To learn more about procurements, visit boston.gov/procurement.

In 2024, more than half of surveyed consumers in the United States said they intended to pay for holiday gifts using either a credit card or a debit card. Cash was the third-most preferred payment method.

A survey conducted in October 2022 found that more than half of consumers in the U.S. were buying more items on sale compared to before. In order to save money, many people in the United States also started buying more generic brand products and buying in bulk.

Forecast: Production Value of Buying and Selling of Own Real Estate in Germany 2024 - 2028 Discover more data with ReportLinker!

This dataset is about news and is filtered where the news title includes Buying a property, featuring 10 columns including classification, entities, keywords, news link, and news title. The preview is ordered by publication date (descending).

Learn how to choose the best sweet potatoes for your needs with these tips. Consider factors like variety, freshness, size, organic vs. conventional, storage conditions, and trusted sources. Make an informed purchase decision and enjoy the versatility and nutritional benefits of this root vegetable.

Forecast: Number of Enterprises of Buying and Selling of Own Real Estate in Italy 2024 - 2028 Discover more data with ReportLinker!

United States CSI: Home Buying Conditions: Bad Time to Buy data was reported at 29.000 % in May 2018. This records an increase from the previous number of 27.000 % for Apr 2018. United States CSI: Home Buying Conditions: Bad Time to Buy data is updated monthly, averaging 24.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 79.000 % in Nov 1981 and a record low of 7.000 % in Dec 1998. United States CSI: Home Buying Conditions: Bad Time to Buy data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H036: Consumer Sentiment Index: Home Buying and Selling Conditions. The question was: Generally speaking, do you think now is a good time or a bad time to buy a house?

Forecast: Turnover Per Employee of Buying and Selling of Own Real Estate in Italy 2024 - 2028 Discover more data with ReportLinker!

Forecast: Production Value of Buying and Selling of Own Real Estate in the UK 2024 - 2028 Discover more data with ReportLinker!

Forecast: Number of Persons Employed of Buying and Selling of Own Real Estate in Italy 2024 - 2028 Discover more data with ReportLinker!

Forecast: Turnover Per Employee of Buying and Selling of Own Real Estate in Germany 2024 - 2028 Discover more data with ReportLinker!

Forecast: Number of Persons Employed of Buying and Selling of Own Real Estate in Germany 2024 - 2028 Discover more data with ReportLinker!

Forecast: Turnover of Buying and Selling of Own Real Estate in Sweden 2024 - 2028 Discover more data with ReportLinker!

In September 2020, a survey found that 26 percent of respondents in the United States had been buying household supplies online before the coronavirus pandemic. After COVID-19, there was an expected 13 percentage point increase in consumers buying these home items online. The same survey was conducted in February 2021 and it revealed that spending intentions decreased across many categories. Fitness and wellness, groceries, personal care products, and household supplies were among the few segments where post-COVID-19 growth was still expected.

The change is real The coronavirus pandemic has upended lives worldwide, from how we work to shop and socialize, in general. In a survey published in March 2021, U.S consumers were asked about the important attributes of shopping online, among which the most chosen answers were faster delivery and in-stock availability. However, the share of consumers that shopped online for the first time is relatively minimal. For instance, only two percent of German and Japanese respondents had never purchased online before 2020.

Shopping online more than ever The e-commerce purchase frequency has also changed. In the U.S., over 23 percent of respondents mentioned that their household goods online purchasing cycle had increased compared to one month previously. In terms of traffic and reach, food and groceries, home and garden, and sports and outdoors were the fastest-growing e-commerce categories worldwide.

Forecast: Turnover of Buying and Selling of Own Real Estate in France 2024 - 2028 Discover more data with ReportLinker!