RBGKEW1378 - Market Research Framework_英国招投标_中文版

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RBGKEW1378 - Market Research Framework

发布时间	所属地区	所属机构	语言
2025年01月21日	--	--	英语 (English) 中文

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Published date: 21 January 2025

Open opportunity - This means that the contract is currently active, and the buying department is looking for potential suppliers to fulfil the contract.

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Contract summary

Industry

Market research services - 79310000

Location of contract

London

Value of contract

£900,000

Procurement reference

BIP919279914

Published date

21 January 2025

Closing date

25 February 2025

Closing time

12pm

Contract start date

26 May 2025

Contract end date

25 May 2028

Contract type

Service contract

Procedure type

Open procedure

What is an open procedure?

Any interested supplier may submit a tender in response to an opportunity notice.

Contract is suitable for SMEs?

Yes

Contract is suitable for VCSEs?

Yes

Description

The purpose of the Market Research Framework is to build beneficial longer-term relationships with a set of high quality, agile, cost-effective suppliers who will understand the RBG Kew brand in depth.
The purpose of this Specification is to update our framework agreement (roster) of suitably skilled and qualified research suppliers to deliver a range of market research projects across various audience groups, including but not limited to members, paying visitors, donors/patrons, digital visitors, prospective visitors/customers and broader audiences. Market research supports RBG Kew's marketing and communications, membership activities, public programmes, digital and visitor experience, fundraising/development and commercial activity.
We are looking for suppliers with experience in areas such as customer experience research, brand research, product development, market testing, audience understanding, pricing analysis and segmentation within cultural attractions, leisure, tourism, hospitality or retail sectors. Suppliers must be proficient in both online and on-site methodologies, conduct qualitative and quantitative research and process large volumes of data.