B2B Field Sales Intelligence & Prospecting Tools

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Field Sales Prospecting Tools For Small & Mid Size Business

Business-to-business field sales professionals heavily rely on mobile prospecting tools to retrieve and consume sales intelligence while out on the road. Traditionally field sales reps spend about one (1) or two (2) days per week prepping their weekly outreach, and another combined eight (8) hours per week updating their pipeline, logging CRM activities, or editing their scripts. Comparatively, only very little time is actually spend ‘selling’.

To enable field sales representatives to do what they do best, Troparé offers its unique B2B mobile prospecting application ‘mProspector™’. The mProspector is a location-based mobile prospecting solution transforming the Prospect to Customer journey by layering and displaying vast amounts of disparate business sales intelligence data on top of prospect and/or lead data to enhance sales insights and accelerate success.

B2B prospecting has never been this easy. This prospecting application shows field sellers exactly where their prospects are located, news and insights into their industry, who their key contact is, what their propensity to purchase is, which marketing campaign this account has been touch by, and so much more. See for yourself!


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Best B2B & Sales Intelligence Prospecting Tools

mProspector 5 screen overview, best sales application

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Mobile B2B Sales Prospecting

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Sales Intelligence Reporting

  • Mobile Reporting

    All app activity is fully logged fueling visual sales activity and performance reports on an individual rep, team, territory, business, and campaign level. Performance data can easily be displayed and monitored in numerous tables and graphs, and feed directly into tStudio™.

  • Customizations

    All applications are completely customizable to seamlessly integrate with your current company sales prospecting methodology, routines, workflows, and data flows.

  • mprospector mobile reporting screen
    mprospector mobile reporting graphs
    mprospector mobile reporting maps
    mprospector mobile reporting mapview

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    B2B Sales Prospecting Tips

    Build a Reliable Data Foundation

    A common bottleneck for many businesses arises from complications caused by the need to combine data from various sources. Some outdated software systems simply cannot cope with the volume and diversity of disparate data. “Outdated” in this respect doesn’t just mean “obsolete.” Due to the rapid development of technologies, “outdated” means moderately lagging behind the superfast pace of innovations. The difference is enough to put the user at a competitive disadvantage. Outdated prospecting tools are inefficient, less effective and more time consuming, and they compound the opportunity for errors because they do not have the corresponding operational capacity.

    Outdated sales and marketing technology includes those systems that limit your company with a legacy burden. Big data brings an opportunity to have a full-scale view of your business. However, to get big data distilled into smart data, you need to learn how to combine and efficiently analyze various types of data. Information from disparate sources isn’t easily linkable, it’s prone to dirty data and often results in unstructured or semi-structured data.

    By using a data-agnostic technology platform, you can typically avoid data integration, compatibility and performance issues due to those platforms’ inherent nature to handle and process various data types and formats. This approach also helps steer clear of unforeseen operating costs and dampened scalability issues associated with being confined to only a select group of data types or formats. Additionally, keeping data safe with today’s heightened security threats requires an up-to-date and secure platform architecture.

    Translate Data Efficiently

    The “big data bang” has created torrents of terabytes. This data covers a wide spectrum of information that can be used by companies to fine-tune their business strategies. However, for optimal information gain companies must develop “data translation” skills.

    Companies that are successful in translating big data into market growth tend to follow three basic principles:

     1. They use analytics to identify valuable business opportunities.

     2. They turn these insights into actions, products or services.

     3. They successfully present these actions, products or services to their clients.

    Companies that apply big data and analytics in their business operations demonstrate a considerable improvement in their productivity rates. Being able to translate and make sense of data transforms big data into smart, actionable data that delivers quantifiable business results.

    Apply Data Analytics For Performance Improvement

    Smart B2B prospecting applications and platforms use machine learning and data analytics to analyze data insights, providing sales with an opportunity to have valuable information right at their fingertips. Smart “translators” disclose the value of data by providing insight to locate, qualify and contact the most promising leads at the right time. Prospecting solutions help optimize lead generation and prospect development to operations performed in a few clicks.

    Utilize Propensity Data

    Lists of valid and accurate leads facilitate the prospecting journey and accelerate your sales process. Purchase propensity (the future likelihood to make a purchase) can help further specify your target audience to only include those with an immediate propensity to purchase your product or service.

    B2B Propensity modeling is applied to correlate customers’ characteristics to their propensities or anticipated behavior, aiming to determine the right moments and conditions to engage, affecting a prospect’s decision-making process. Propensity modeling in combination with business contact information helps to further develop a targeted sales prospecting strategy.

    Ensure Data Quality

    Data quality is fundamental; it’s as much of a truism as “garbage in, garbage out.” Don’t expect superior sales with inferior data. B2B leads are at the heart of a successful marketing strategy. Data degradation is a severe challenge for any marketer. It is crucial to make sure your data is accurate and verified.

    The quality of data used by organizations has a considerable impact on its overall effectiveness and efficiency. Is the right decision possible without a reliable and accurate background? The answer is obvious — no!