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Zoho is a global SaaS provider that recently teamed up with Biaoxun, a subsidiary of Beijing Bailian Intelligent Technology Co. Ltd., to launch the smart bidding feature of Zoho's CRM. The Smart Bidding System Function is better suited to the Chinese market, Chinese companies and Zoho CRM’s ability of accurately acquiring customers for B2B clients.
There is no doubt that B2B customer acquisition is expensive and difficult. Bidding information is particularly important for companies who do business with big customers. The traditional way is for companies to search the Internet for bidding information and then bid. The disadvantages to this method are that the information is scattered, difficult to locate, incomplete, incorrect, and not timely. The information was difficult to obtain before the opening of the bid, but competitors took advantage of this because they had little time to prepare. The traditional management of bidding information is plagued with problems, and B2B firms are unable to use the information in a way that will help them grow their business and increase customer and marketing growth.
CRM can be used to help companies get accurate, comprehensive and timely bidding information after integrating bidding data. It can also help businesses quickly integrate their internal resources around bid projects, beat competitors using digital tools and create a closed loop solution that integrates marketing (customer extension), sales (ordering) and CRM.
Zoho CRM smart bidding's application logic is as follows: first, enterprises search keywords according to their business in CRM to obtain the most recent and comprehensive bidding data. Second, synchronization one-click of interested bidding info to Zoho CRM to generate leads. Third, the leads will be automatically assigned to corresponding sales staff to follow up. Finally, sales staff are able to make use of Zoho CRM built-in collaboration features during the follow-up to form a project team, share bidding information and collaborate on. Marketing efficiency and document efficiency were improved in a comprehensive way, from customer acquisition to sale, from sales into collaboration, to collaboration to transaction. This broke the curse of B2B growth.
We have also added a subscription feature to help meet the requirements of customers who bid frequently. This means that corporate users can set up filtering conditions and then the system will automatically sync the bidding data subscribed to by the corporate with Zoho CRM based on a predetermined frequency. It eliminates the need for manual input, time-wasting, switching between different systems and data entry.
1. Find information by searching keywords
Search for bidding information related to your enterprise by entering keywords into Zoho CRM. You will receive a list with bidding details.
2. More detailed bidding information
You can view detailed information about the bidders, project details, and key contacts by selecting the detail page.
3. Data synchronization
After selecting the project, you can generate Zoho leads by clicking on it. This will help you make the transition from marketing to selling.
4. Sales follow-up
The leads created based on the bid information are then moved to the sales funnel, where they can be followed up. This opens the CRM journey for the party that won the bidding.
Zoho CRM can help B2B businesses grow their business by improving marketing efficiency and sales conversion. This is a very useful feature. This function is likely to be used frequently by Zoho CRM.
Yuxuan Technology Co., Ltd. is a Zoho Premium Partner. We established a deep cooperation with Chinese partners in order to offer domestic enterprise users more Chinese style products and services. Zoho CRM plans to combine AI artificial intelligence with big data analysis in order to offer users high-value and detailed services. By analyzing the bidding history of a customer, for example, it is possible to make intelligent suggestions about the current bidding price. Zoho CRM enterprise customers can gain greater insights by using AI.