SALES STRATEGY OPTIMIZATION IN TECHNOLOGY FIRMS: BALANCING EXISTING REVENUE STREAMS WITH NEW MARKET OPPORTUNITIES

In the contemporary technology-driven business landscape, firms face increasing strategic pressure to sustain existing revenue streams while simultaneously identifying and capitalizing on emerging market opportunities. This study examines the effectiveness of integrated sales strategy optimization frameworks in enhancing organizational sales performance by balancing exploitation of legacy revenue sources with exploration of new market domains. Employing a quantitative analytical approach, the study evaluates the influence of Existing Revenue Optimization (ERO), New Market Expansion Capability (NMEC), Market Opportunity Index (MOI), Sales Resource Allocation Efficiency (SRAE), Digital Sales Infrastructure Index (DSII), and Customer Relationship Management Effectiveness (CRME) on the Sales Performance Index (SPI). The results reveal that firms adopting balanced sales strategies supported by digital enablement and efficient resource distribution demonstrate significantly improved revenue diversification and performance outcomes compared to firms focused exclusively on either legacy optimization or innovation-driven expansion. Furthermore, the findings highlight the synergistic role of customer relationship management and analytics-driven sales infrastructure in facilitating sustainable market growth. The study underscores the strategic importance of adopting integrated and data-driven sales frameworks to ensure financial stability, competitive advantage, and long-term resilience in dynamic technology markets.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-16
DOI
https://doi.org/10.5281/zenodo.19603306
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
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article

SALES STRATEGY OPTIMIZATION IN TECHNOLOGY FIRMS: BALANCING EXISTING REVENUE STREAMS WITH NEW MARKET OPPORTUNITIES

Itay Rubinstein
Zenodo (CERN European Organization for Nuclear Research)
Customer churn and segmentation
article

SALES STRATEGY OPTIMIZATION IN TECHNOLOGY FIRMS: BALANCING EXISTING REVENUE STREAMS WITH NEW MARKET OPPORTUNITIES

Itay Rubinstein
article en

Abstract

In the contemporary technology-driven business landscape, firms face increasing strategic pressure to sustain existing revenue streams while simultaneously identifying and capitalizing on emerging market opportunities. This study examines the effectiveness of integrated sales strategy optimization frameworks in enhancing organizational sales performance by balancing exploitation of legacy revenue sources with exploration of new market domains. Employing a quantitative analytical approach, the study evaluates the influence of Existing Revenue Optimization (ERO), New Market Expansion Capability (NMEC), Market Opportunity Index (MOI), Sales Resource Allocation Efficiency (SRAE), Digital Sales Infrastructure Index (DSII), and Customer Relationship Management Effectiveness (CRME) on the Sales Performance Index (SPI). The results reveal that firms adopting balanced sales strategies supported by digital enablement and efficient resource distribution demonstrate significantly improved revenue diversification and performance outcomes compared to firms focused exclusively on either legacy optimization or innovation-driven expansion. Furthermore, the findings highlight the synergistic role of customer relationship management and analytics-driven sales infrastructure in facilitating sustainable market growth. The study underscores the strategic importance of adopting integrated and data-driven sales frameworks to ensure financial stability, competitive advantage, and long-term resilience in dynamic technology markets.

Zenodo (CERN European Organization for Nuclear Research)
Eye Center (SA)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Customer churn and segmentation
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