5 Ways Legacy Databases May Be Holding Back Your Sales Growth
November 15, 2024 | Alec de la Durantaye |
Sales Enablement
In the fast-paced world of life sciences, effective prospecting is essential for driving growth and staying ahead of the competition—especially as teams prepare strategies and plans for the year ahead.
But if your team is using a legacy database—an outdated, inefficient tool that wasn’t built for today’s needs—you're likely missing out on opportunities without even knowing it.
This article breaks down the common shortcomings of legacy databases and offers insights into what to look for in a modern sales enablement tool. Discover how you can equip your team with technology that maximizes efficiency, improves data quality, and empowers your business development efforts for a successful year.
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The Problem: Complex CRM Integration Processes
Short-Term Impact: Legacy databases often require complex API integrations to sync with customer relationship management (CRM) systems, leading to delays, technical complications, and additional IT support costs. For sales and business development teams, this means more time spent configuring data transfers rather than acting on valuable information, hampering day-to-day productivity.
Long-Term Impact: Over time, these integration challenges can erode data quality and consistency, as teams may opt to skip CRM updates altogether if they become too cumbersome. This not only disrupts workflows but can also result in outdated prospect data, inaccurate forecasting, and even the loss of valuable insights within CRM systems—all of which add inefficiencies that scale with the team’s growth.
The Solution: Tools that offer native integration help mitigate these challenges, enabling real-time syncing with CRMs so sales and BD teams can access up-to-date information without technical delays. This streamlined integration supports smoother workflows, reduces IT dependency, and provides a clear foundation for scaling sales efforts effectively.
The Problem: Reliance on Stale, Incomplete Data
Short-Term Impact: Using stale data leads to missed opportunities, as business development teams may spend valuable time pursuing companies that are no longer active, irrelevant, or lacking critical information. This wasted effort affects overall productivity and creates frustration, as teams struggle to discern what information is reliable.
Long-Term Impact: Relying on stale data over time has a compounding effect that leads to larger issues. Teams end up indirectly distancing themselves from current market realities and suffer weaker customer relationships. Acting on outdated information causes teams to miss early engagement opportunities with the right companies, instead pursuing ones that no longer align with their market trends.
The Solution: Regular data updates and real-time information feeds can help mitigate these issues by ensuring that only current, relevant information reaches BD and sales teams. A clean data feed free from inactive companies or obsolete contact details keeps prospecting efforts efficient and lets teams adapt quickly to industry changes.
The Problem: Information Overload Without Contextualization
Short-Term Impact: Legacy databases often inundate users with raw data, giving extensive lists of company information without contextual filters or insights. This can overwhelm sales teams, who must sort through extensive, often irrelevant information just to find actionable insights. It’s comparable to relying on a Google search, where vast amounts of data are accessible but lack the specificity needed for effective prospecting.
Long-Term Impact: Over time, this information overload can reduce team morale and productivity, as individuals spend more time filtering data than building connections or developing outreach strategies. Without actionable context, teams may struggle to differentiate between high-priority leads and low-value ones, reducing the overall quality of outreach efforts.
The Solution: Tools that contextualize information provide focused, actionable insights, allowing BD teams to distinguish meaningful opportunities from background noise. Platforms designed to highlight key data points—such as upcoming studies, recent funding rounds, or strategic company shifts—equip teams with the insights they need for timely, relevant engagement without getting bogged down in extraneous details.
The Problem: Lack of Comprehensive Conference Coverage
Short-Term Impact: Many legacy databases don’t offer consistent or detailed coverage of industry conferences, leaving BD and sales teams to source manually and cross-reference exhibitor lists, attendees, or abstracts. This patchwork approach creates extra work and can lead to missed networking opportunities with high-value prospects.
Long-Term Impact: Over time, limited conference data results in a significant loss of potential connections, especially as conferences remain key venues for relationship-building in the life sciences industry. Without reliable conference information, BD teams may lose touch with industry shifts or emerging players, weakening their competitive position and reducing the impact of their conference engagement strategies.
The Solution: Comprehensive conference coverage—with details on exhibitors, attendees, and session abstracts—enables sales and BD teams to maximize their time and resources. Being able to quickly prioritize attendees by specific criteria helps focus outreach and reduces the chances of missing critical connections, supporting long-term relationship building and strategic networking.
The Problem: Limited Support and Unpredictable Pricing
Short-Term Impact: Many legacy databases offer minimal support, leading to slow response times, limited access to training or onboarding resources, and minimal internal adoption. Additionally, complex or region-based pricing structures often make it difficult for teams to plan budgets effectively, especially for smaller or mid-sized companies that need more predictable pricing. Not to mention sneaky auto-renewal clauses…
Long-Term Impact: Over time, the lack of dedicated support and clear pricing can lead to costly inefficiencies, as teams struggle to use the tool effectively or face unexpected price increases that strain their budgets. This may prevent companies from scaling their use of the tool, ultimately limiting the effectiveness of their sales intelligence efforts.
The Solution: Robust customer support and transparent, adaptable pricing models are critical in providing companies with the resources they need to make the most of their prospecting tools. Support that includes account managers, comprehensive training, and clear pricing structures enables teams to maximize their tool’s value, improving both short- and long-term productivity and return on investment.
Moving Beyond the Legacy Database
Reliance on legacy databases may have once been sufficient, but as the life sciences landscape evolves, so do the needs of sales and business development teams. The challenges of clunky integration, stale data, overwhelming information, limited conference support, and inconsistent pricing make it clear that legacy databases often hold teams back rather than propel them forward. With these issues in mind, a more purpose-built approach to prospecting tools is essential for life sciences companies looking to remain competitive and drive meaningful growth.
Ready to explore more efficient options? Transitioning to a prospecting tool designed for the life sciences could be the difference-maker for your team.
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