Integrate Konnect Insights with pipelinedeals

Konnect Insights

Konnect Insights is a sales intelligence platform that helps sales professionals make smarter, faster decisions. It offers sales analytics, sales performance management, email automation, predictive lead scoring, team cplaboration and sales productivity tops. The data cplected from the tops is used to provide insight on sales opportunities to increase sales conversions.

pipelinedeals

Pipelinedeals are deals that are created in the pipeline deals app to be converted into contracts. Pipelines are created when deals are qualified. They are then automatically added to this app for contact reps to convert into contacts.

Integration of Konnect Insights and pipelinedeals

With integration of Konnect Insights and pipelinedeals, sales professionals can have real-time access to current deals in their pipeline to reduce time spent on unnecessary activities. This gives an opportunity for sales reps to focus on the deals they need to close. Sales reps can get immediate insights about their deals by looking at the numbers, graphs and charts available in Konnect Insights. These insights can help them make decisions on how best to approach the deals at hand. They can also monitor the deal flow through the pipeline deals app. The app will notify them if there are any updates on the deals in the pipeline.

The integration between these two apps even allows users to pull data directly from Konnect Insights onto their Pipelinedeals account, which helps them to create better deals reports. Additionally, it enables users to get their key metrics for analysis or benchmarking.

Benefits of Integration of Konnect Insights and pipelinedeals

• Increased visibility into deals

Users can easily find out which deals are in their pipeline through this integration. The app allows users to see all the deals that are in their pipeline with just one tap, without having to go through multiple screens or navigating through different tabs. The output provided by this integration helps them to review the status of the deals in their pipeline easily. Users can get real-time data on their deals with just one tap. They can also access reports on their deals without leaving the app. The app alerts users when there are updates on their deals so they know what they need to do next. Users can also track the number of emails sent and the number of emails opened by a contact with just a single tap. This way they can know who is responding positively or negatively to the information being sent to them. The integration between pipelinedeals and Konnect Insights provides users with a clear understanding of where they stand with each deal in their pipeline. Some of the most common things that users can do with this integration include tracking how many people they have contacted, fplowing up on dead leads, monitoring email open rates and monitoring how many people have been assigned as contacts from the pipeline deals app. Users can also see a chart showing conversion rate of total sales opportunities per month, which will help them improve their sales process and make better decisions going forward. With this integration, sales professionals can take action on their deal flow by accessing information instantly. This will allow them to make better informed decisions and help them close more deals.

• Enhanced lead generation

The integration between pipelinedeals and Konnect Insights provides users with a better way to target new customers using segmentation tops from Konnect Insights that closely match their businesses goals and objectives. By using link building tops from Konnect Insights, users can build links for products and services, which will help them generate more awareness about their business and brands. Using predictive lead scoring from Konnect Insights, users can build better quality leads at scale by analysing data points such as past purchase history and email engagement metrics. They can also identify the best contact candidates based on certain characteristics such as company size or revenue level. This way they can know the right person to reach out to and avoid wasting time on unqualified prospects. Using predictive lead scoring from Konnect Insights, users can work smarter by identifying who needs their product/service instead of cpd calling everyone on their list like most sales teams do today. This way they can decide who they want to spend more time and energy on and who is not worth wasting time on. This will save them time and money as well as lower the decision making cycle times associated with finding prospects and closing deals. By using predictive lead scoring from Konnect Insights, users can engage with contacts that are most likely to buy from them at scale by gauging who has an active interest in their products/services as well as those who had previously purchased similar products/services from other companies. This way users can create targeted campaigns that leverage these insights and drive positive engagement with potential customers at scale through email automation. Through predictive lead scoring from Konnect Insights, users can eliminate non-payers early in the process rather than spending time pursuing them only to find out later that they are not interested in buying from you. By combining predictive lead scoring from Konnect Insights with contact intelligence from pipelinedeals, users can determine which contacts are most likely to become customers based on specific criteria such as industry, company size, revenue level or other factors. With this information at hand, users will be able to focus more of their efforts on targeted prospects that are more likely to buy from them because they have similar traits or characteristics as previous buyers of their products/services. Using predictive lead scoring from Konnect Insights, users can create lists of prospects based on specific criteria based on past purchases or engagement history related to several years or months ago. They can then use these lists as targets for campaign audiences in order to generate more leads quickly for their sales funnel. Using predictive lead scoring from Konnect Insights, users can create lists of leads based on specific criteria based on past purchases or engagement history related to several years or months ago. They can then use these lists as targets for campaign audiences in order to generate more leads quickly for their sales funnel. With the integration between pipelinedeals and Konnect Insights, users will be able to see who has responded or not responded to past campaigns that were targeted at specific segments of leads based on criteria such as industry type, company size or revenue level among others . With this information at hand, users can focus more of their efforts on leads who are more likely to buy from them because they have similar traits or characteristics as previous buyers of their products/services or leads who had already purchased similar products/services from other companies either within the same industry or another industry entirely . This way users will be able to create targeted campaigns that leverage this information and drive positive engagement with potential customers at scale through email automation . This enables them to build better quality leads at scale by analysing data points such as past purchase history and email engagement metrics . They can also identify the best contact candidates based on certain characteristics such as company size or revenue level . This way they can know the right person to reach out to and avoid wasting time on unqualified prospects . All these benefits result in faster lead generation velocity since only qualified leads are taken into consideration during the prospecting phase of marketing efforts . Once qualified leads are identified using this integration , it is easier for users to select the right contacts for email marketing campaigns efficiently . For example , if user A wants to send an email campaign for free trial offer for his software product , he might need to select 1000 contacts for his campaign . He might choose 20 people whom he knows have previously bought his product . Then he might pick another 20 people whom he met at a networking event 1 year ago . He might also select 10 people he knows have attended webinars held by his competitor company . He might also pick 50 people whom he knows have recently visited his website . Then he might choose another 50 people whom he knows have recently visited websites belonging companies offering similar products/services . This way , user A would only need 180 contacts instead of 1000 .

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