100%
Relationship Strategy Is Universal
100% described fundraising as dependent on lasting donor relationships. The strategic alignment on retention and stewardship is total.
DonorPerfect · G2 Research · May 2026
Built to Connect: How Nonprofits Are Modernizing Donor Management
103 nonprofit fundraising leaders reveal a clear gap between relationship-first strategy and fragmented operating reality — and what it will take to close it.
100%
Describe fundraising as relationship-driven
16%
Report a mostly integrated stack
62%
Operate with very small teams
75%
Want proactive guidance and next-best actions
Executive Summary
Strategy Is Clear. Execution Is Not.
There is a clear gap between fundraising strategy and the systems that support it. Nonprofits know what to do: 100% described fundraising as relationship-driven, 93% deliver immediate thanks with layered follow-up, and 85% say historical giving data strongly drives strategy — and 71% use it to design and optimize campaigns. The strategy is settled. The problem is execution. While 77% have a central CRM, only 16% report a mostly integrated stack, and 57% still process donations through hybrid workflows that need manual cleanup. Because 62% of teams are very small, this fragmentation is more than inefficient. It causes real damage: 75% say manual processes lead to errors, duplicates, or missed follow-up, and 74% can pull data but still have to clean it up by hand to make it useful. Teams are not asking for more dashboards. 75% want proactive alerts and actionable insight. But 52% are anchored to current systems by cost and the risk of switching.
16%
True Integration Is Rare
Only 16% report a mostly integrated stack. 77% use a central CRM but bridge gaps with manual workarounds.
62%
Lean Teams Carry the Burden
62% operate with very small teams. 75% say manual processes create errors, duplicates, or missed follow-up.
75%
Intelligence Demand Is Clear
75% want proactive alerts and actionable insight. 40% want broad proactive guidance; 34% want next-best-action recommendations.
Chapter 01
The Strategic Foundation
Nonprofits have already solved the strategy question. 100% of respondents describe fundraising as dependent on lasting relationships, most practice sophisticated stewardship across every donor tier, and historical giving data anchors every planning decision. This chapter maps what the sector already does well — the strategic baseline that every other finding in this report is measured against.
Donor Retention and Relationship Strategy
Retention-First Strategies Define Donor Relationships and Stewardship
100%
describe fundraising as dependent on lasting donor relationships
Every nonprofit in the study agreed on one thing: fundraising depends on lasting donor relationships. 100% of respondents said so. 89% emphasize strong retention and renewal as their primary focus, while a small minority describe a more even balance between acquisition and retention. 91% prioritize personalized cultivation and stewardship. Only 9% use standardized ongoing touchpoints. Nearly all teams align around relationship-driven stewardship, though approaches vary in execution. The questions in this report are not about strategy. They are about whether the operating environment can deliver on it.
Key Takeaways
01
Retention dominates fundraising strategy: 89% of respondents emphasize strong retention and renewal as their primary focus. A small minority describe their approach as balancing acquisition and retention more evenly. The retention orientation is near-universal.
02
Personalized stewardship is the standard: 91% prioritize personalized cultivation and stewardship. Only 9% use standardized ongoing touchpoints. One-size-fits-all donor communication is essentially over.
03
Ongoing relationships drive fundraising success: 100% of respondents said fundraising depends on sustained donor relationships. The strategic alignment around retention-first approaches is total.
Strategic Implication
When 100% of teams agree on what good stewardship looks like, the differentiator is no longer strategy. It is operational delivery. Tools and processes that help teams execute relationship-first fundraising at scale will land in a market where every buyer has already adopted the strategy.
Fundraising orientation (n=103)
100%
Describe fundraising as relationship-driven
89%
Emphasize retention & renewal as primary focus
91%
Prioritize personalized stewardship
Historical Data and Campaign Optimization
Historical Giving Data Powers Strategy, Targeting, and Campaign Design
85%
say historical giving data strongly drives strategy
Historical giving data is the strategic backbone of fundraising. 85% of organizations say it strongly drives strategy, making it the dominant foundation for planning and decision-making. Only 15% report limited or emerging use. Looking separately at how that historical data is applied to campaigns: 71% actively use historical patterns to design and optimize campaigns, 15% use it for periodic adjustments, and 15% make minimal use. Respondents commonly described going back two to three years, sometimes as far as five, to identify recurring patterns and inform every part of campaign planning.
Key Takeaways
01
Historical giving is the strategic backbone: 85% say historical giving data strongly drives strategy. It is the dominant foundation for planning and decision-making across the sample.
02
Limited or emerging use is rare: Only 15% report limited or emerging use of historical giving data. The other 85% have made historical patterns a core input for planning.
03
Campaign design is powered by donor history: Looking specifically at campaign-design use, 71% actively use historical patterns to design and optimize campaigns. 15% use it for periodic adjustments. Only 15% make minimal use.
Strategic Implication
Build fundraising plans around historical giving as the primary decision engine. Segment donors by prior gift size, recency, frequency, and campaign responsiveness. Set differentiated ask ladders, contact cadence, and channel mix for each tier. Put this within easy reach of frontline staff, not buried in a reporting tool.
Historical data usage (n=103)
Historical giving strongly drives strategy
85%
Actively used for campaign design
71%
Limited or emerging use
15%
Immediate Acknowledgment and Stewardship Cadence
Immediate Thanks and Layered Follow-Up Build Donor Trust
Immediate acknowledgment is the norm. 93% of respondents described immediate acknowledgment with layered follow-up stewardship. The remaining 7% acknowledge promptly but rely on mostly manual processes. The differentiation happens in the follow-up: most teams pair the initial thank-you with segmented or threshold-based personal outreach for priority donors. A small minority use a single standardized sequence, and very few offer no meaningful follow-up beyond the receipt. This is the modern stewardship operating model: speed and consistency for everyone, depth and personalization for the relationships that matter most.
Key Takeaways
01
Immediate thanks is the norm: 93% deliver immediate acknowledgment paired with layered follow-up stewardship. The remaining 7% acknowledge promptly but rely on mostly manual processes that limit how quickly the team can respond at scale.
02
Trust is built in the follow-up layers: Most teams use segmented or threshold-based personal follow-up after the initial thank-you. A small minority use a single standardized sequence; only a few offer no meaningful follow-up beyond the receipt.
03
Personal stewardship separates mature programs: Nearly all organizations acknowledge quickly. The strongest differentiation happens after the initial receipt, where mature programs route priority donors to personal outreach while baseline donors receive consistent automated follow-up.
Strategic Implication
Build platform capability around a dual-track default. Automated immediate acknowledgment for every gift. Intelligent surfacing of priority donors for personal follow-up. This is the modern stewardship operating model. It should be table stakes, not advanced functionality.
Acknowledgment and stewardship model (n=103)
93%
deliver immediate acknowledgment with layered follow-up stewardship
Immediate acknowledgment + layered follow-up93%
Mostly manual acknowledgment processes7%
Donor Segmentation and Tiered Stewardship
Donor Segment and Gift Level Drive Tiered Stewardship
Tiered stewardship is the default. 77% report using stewardship that varies by gift level or donor segment, making segmentation the dominant personalization strategy. 20% rely on mostly standardized outreach with limited personalization. Only 3% deliver one-to-one personalized stewardship for every donor. Most organizations tier by gift size, but few do it rigorously. The model that works at scale: use historical data and giving capacity to define tiers, then route the most valuable relationships to human stewardship while automation handles the rest.
Key Takeaways
01
Tiered stewardship is the default: 77% report stewardship that varies by gift level or donor segment. Segmentation is the dominant personalization strategy across the 103 respondents.
02
Standardized outreach is the alternative: 20% rely on mostly standardized outreach with limited personalization. Only 3% deliver one-to-one personalized stewardship for every donor.
03
Most tier by gift size: Most organizations tier by gift size or donor segment. Few have rigorous threshold-based recognition systems, leaving room to make tiering more systematic.
Strategic Implication
Standardize a tiered stewardship framework that routes top segments to staff time and automates baseline stewardship for everyone else. Use historical giving plus engagement signals to define tiers, not just gift size. Position the platform around making this segmentation effortless, not requiring custom workflows for every tier.
Stewardship personalization model (n=103)
Tiered by gift level or segment77%
Mostly standardized, limited personalization20%
One-to-one personalized for every donor3%
Chapter 02
The Operational Reality
Below the strategic clarity, the operating environment tells a different story. Most nonprofits rely on a CRM surrounded by tools that don't fully connect — and small teams absorb the friction of every gap. The distance between fundraising strategy and fundraising execution is not a planning problem. It is a systems and capacity problem.
CRM Dependency and Stack Architecture
CRM Anchors the Stack, but Workarounds Bridge Key Gaps
77% of organizations use a central CRM as the system of record, supplemented by adjacent tools and manual handoffs. 17% run a more patchwork core with heavy workarounds. 7% have no real CRM and rely on a spreadsheet-based core. The dominant operating model is backbone-plus-patchwork: a central CRM that does most of the work, surrounded by online giving platforms, event tools, communication systems, and spreadsheet workarounds that bridge the gaps. The result is a system that is centralized in theory but fragmented in practice.
Key Takeaways
01
CRM is the system anchor for most teams: 77% of organizations use a central CRM backbone supplemented by other tools. The CRM is the dominant system of record across nonprofit fundraising.
02
Patchwork cores are the second most common pattern: 17% run a patchwork core system with heavy workarounds. The CRM is partial or supplemented by significant manual processes that bridge the gaps.
03
A small minority operate without a true CRM: 7% have no real CRM and rely on a spreadsheet-based core. These are typically the smallest organizations or those still scaling their operations.
Strategic Implication
The market need is not for a new system of record. It is for reducing the operational gaps around the CRM through stronger workflow coverage, cleaner integrations, and fewer handoffs. The CRM is already in place. The opportunity is in everything that surrounds it.
Core system-of-record model (n=103)
77%
use a central CRM as the system of record
Central CRM + supplemental tools
77%
Patchwork core with heavy workarounds
17%
No real CRM — spreadsheet-based
6%
Team Size, Capacity, and Operational Limits
Lean Teams Hit Clear Capacity Limits
62% of respondents described their team as very small with clear capacity constraints. 36% are lean but report manageable staffing. Only 2% report no clear small-team constraint. Beyond raw team size, capacity limits show up in execution: a majority said manual work creates delays and forces prioritization, while only a minority reported the manual burden is still manageable. Roughly a third explicitly named automation as essential to extend capacity. Lean teams cannot afford friction. Every manual step, every system gap, every reconciliation task pulls capacity away from donor relationships.
Key Takeaways
01
Lean teams dominate the operating model: 62% described their team as very small with clear capacity constraints. 36% are lean but report manageable staffing. Only 2% report no clear small-team constraint.
02
Capacity limits are constraining execution: A majority said manual work creates delays and forces prioritization. Only a small share report the manual burden is still manageable. The majority are operating past their natural capacity.
03
Automation has become a scaling requirement: Roughly a third explicitly named automation as essential to extend capacity. For lean teams, automation is no longer a productivity boost. It is the only way to deliver on relationship-first stewardship without adding staff.
Strategic Implication
Solutions that remove cleanup and interpretation work create outsized value in lean teams, even without major team growth. Position offerings around measurable labor savings, faster execution, and reduced operational drag, not broad transformation benefits. Lean teams cannot absorb complex implementations.
Team size and capacity (n=103)
Very small team with clear capacity constraints62%
Lean but manageable staffing36%
No clear small-team constraint2%
Fragmentation, Manual Syncing, and Data Silos
Fragmented Stacks Force Manual Syncing and Consolidation Demand
42%
are actively seeking a consolidated workflow or fewer tools
Most fundraising stacks remain only partially connected. 43% describe a partially integrated stack with some manual syncing. 42% have fragmented tools with weak integration. Only 16% report a mostly integrated setup. The manual cost is significant. Roughly half rely on heavy manual bridging across tools, versus only a small minority who say workarounds are manageable. The market response is clear: 42% are actively seeking a consolidated workflow or fewer tools — driven not by aspiration but by the daily friction of manual bridging between systems that should be talking to each other.
Key Takeaways
01
Most stacks remain only partially connected: 43% have a partially integrated stack with some manual syncing. 42% have fragmented tools with weak integration. Only 16% report a mostly integrated setup.
02
Manual syncing is still a major operational burden: Roughly half rely on heavy manual bridging across tools. Only a small minority say workarounds are manageable. The cost of partial integration is paid in daily reconciliation work.
03
Consolidation demand is meaningful: 42% are actively seeking a consolidated workflow or fewer tools. The strain of fragmented stacks and manual sync gaps is driving the consolidation conversation.
Strategic Implication
The opportunity is not just in connecting tools but in reducing the number of tools teams have to maintain. Position offerings around fewer systems, fewer handoffs, and less manual bridging. Tool sprawl is itself the problem, and adding more integrations to manage is not the solution.
Fundraising stack integration level (n=103)
43%
Partially integrated, some manual syncing
Partially integrated, some manual syncing
43%
Fragmented tools with weak integration
42%
Mostly integrated setup
16%
Hybrid Donation Processing and Manual Cleanup
Hybrid Donation Processing Requires Manual Cleanup
57%
describe their overall donation processing as hybrid automation with significant manual entry
Donation processing is overwhelmingly hybrid. 57% of organizations describe their overall pattern as hybrid automation with significant manual entry and cleanup. 33% are mostly automated for online gifts but still handle offline or edge cases manually. 10% are predominantly manual. Looking at automation by channel: most teams report online donations flow in mostly automated, while offline or edge-case gifts (checks, events, third-party platforms) still require manual handling. Standard online intake automation has been largely solved. The unsolved problem is everything that doesn't fit the standard intake flow.
Key Takeaways
01
Hybrid processing is the default reality: 57% describe their overall donation processing as hybrid automation with significant manual entry and cleanup. Partial automation is far more common than fully streamlined workflows.
02
Automation breaks down outside core digital channels: Most teams report that online donations are mostly automated. Offline or edge-case gifts still require manual handling. The channel-level automation gap is what makes overall org workflows hybrid in practice.
03
Manual cleanup remains the hidden operational burden: Most organizations require routine manual transfer, review, or cleanup. Many depend on multi-step handoffs. Only a very small share say digital gifts flow through with little or no follow-up.
Strategic Implication
Standard online intake is solved. The differentiator is what happens at the edges. Checks, events, recurring gifts, third-party platforms. Package integration around closing manual cleanup gaps with bi-directional sync, error monitoring, workflow recovery, and channel-level visibility.
Donation processing pattern (n=103)
Hybrid automation + significant manual
57%
Mostly automated (offline still manual)
33%
Predominantly manual
10%
Chapter 03
The Compounding Cost
Fragmentation doesn't just create inefficiency — it actively weakens execution. Each manual step introduces error risk. Each data gap limits visibility. Each missed signal delays the intervention that prevents donor loss. This chapter shows how the operational gaps compound into missed relationships and unrealized revenue.
Manual Errors, Duplicates, and Missed Follow-Up
Manual Work Creates Errors, Duplicates, and Missed Follow-Up
75%
say manual processes create errors, duplicates, or missed follow-up
Manual work isn't just inefficient — it actively weakens execution. 75% of respondents said manual processes create errors, duplicates, or missed follow-up. 20% said manual work is mostly an efficiency burden but not a quality risk. Just 5% report limited current data-quality risk. Looking at workload severity: 60% report recurring manual cleanup and verification, 32% face high manual burden with frequent errors or duplicates. Engagement opportunities are also at risk: 62% report clear missed or delayed engagement opportunities due to data or process gaps. The cost of manual work compounds. A duplicate record breaks segmentation. A missed gift acknowledgment damages a relationship. A delayed lapse signal loses a donor.
Key Takeaways
01
Manual cleanup is the norm: 60% report recurring manual cleanup and verification. 32% face high manual burden with frequent errors or duplicates. Only 8% have a manageable workload.
02
Missed follow-up is a widespread operational risk: 62% report clear missed or delayed engagement opportunities due to data or process gaps. Only 16% report no known missed opportunities.
03
Manual burden splits teams into risk tiers: 32% are in a high-error, high-duplicate state. 60% are stuck in recurring cleanup. Only 8% operate with a low or manageable manual workload.
Strategic Implication
Manual work creates measurable quality and revenue risk. Duplicate records, missed acknowledgments, delayed lapse detection. Position integration as protection against these compounding costs, not just as a productivity gain. The cost of disconnect is paid in lost donor relationships.
Manual process risk and workload (n=103)
75%
Manual causes errors, duplicates, or missed follow-up
Manual causes errors, duplicates, or missed follow-up
75%
Recurring manual cleanup and verification
60%
High burden with frequent errors or duplicates
32%
Data Access, Quality, and Actionability
Data Access Is Common, but Insight Still Requires Manual Work
Data access is largely solved. 93% can run basic reports easily or with some setup. The problem isn't access. It's actionability. 74% say they can access the data but still have to dig through it and manually clean it up to produce insight. Standard reports run easily, but the work of turning a report into a decision still falls on a person, often using Excel or a manual review process. Lean teams pay this cost in time that should be spent with donors. The gap is not 'we can't see the data'. It is 'we can see the data but we still have to figure out what it means'.
Key Takeaways
01
Data access is not the problem: 93% can get basic reporting with at most some setup or tweaking. The data exists and is reachable across the sample.
02
Insight still depends on manual work: 74% say they can access the data but still have to dig through it and manually clean it up to produce usable insight. The bottleneck is interpretation, not retrieval.
03
Actionability is the real gap: Only a small share report strongly actionable insight today. The dominant pattern is 'access exists but insight requires work', leaving the analytical effort with frontline staff.
Strategic Implication
Don't add more reports. Add recommendations. The platform that turns standard data into actionable insight — surfacing what to do, not just what happened — wins the next category. Reports are table stakes. Insight is the differentiator.
Data access and actionability (n=103)
Access data but must clean manually for insight74%
Reports accessible and mostly usable19%
Data access is weak or difficult7%
Upgrade and Lapse Detection
Upgrade and Lapse Detection Depends on Intuition, Not Automation
The most strategically important donor signals — upgrade potential and lapse risk — depend overwhelmingly on human intuition. 58% mostly rely on manual, intuition-based detection; 40% have some system indicators but still drive decisions through manual review; just 2% report no real detection capability. Looking at how decisions actually get made: 98% rely on relationship judgment, intuition, or basic manual signals. Only a small minority have real system support that proactively surfaces upgrade potential or lapse risk. This is the largest unmet capability gap in the sample. The systems hold the data needed to detect risk and opportunity, but the work of finding it falls on already-stretched staff.
Key Takeaways
01
Manual intuition leads upgrade and lapse detection: 58% mostly rely on manual, intuition-based detection. 40% have some system indicators but still depend largely on manual review. Just 2% report no real detection capability.
02
Automation is largely absent from detection workflows: 98% rely on relationship judgment, intuition, or basic manual signals — even the 40% who have some system indicators still drive decisions through manual review.
03
Manual judgment dominates even when signals exist: The majority combine relationship-based judgment with basic manual signals or rely primarily on intuition alone. Detection depends far more on humans than on proactive automation.
Strategic Implication
The clearest opening is to convert established relationship strategy into operational intelligence. Surface donor risk, upgrade potential, and next-best actions directly inside existing workflows. The data is already there. The gap is in turning it into prompts that drive action.
Upgrade and lapse detection method (n=103)
98%
rely on relationship judgment, intuition, or basic manual signals for donor detection
Primarily intuition-based manual detection58%
Some system indicators, still mostly manual40%
No real detection capability2%
Chapter 04
The Market Inflection
The sector knows what it wants next. Three-quarters of respondents want proactive intelligence tools that surface what to do, not just what happened. But most teams are anchored to current systems by cost and switching risk. The market is at an inflection point — and the path forward runs through additive capability, not full replacement.
Platform Switching Risk and Retention Barriers
Cost and Switching Risk Anchor Teams to Current Systems
52% are holding on to their current system due to cost or transition risk. 39% are open to incremental or phased change. 7% are comfortable with current tools and have low urgency to switch. Just 2% would switch if a clearly better fit or ROI is proven. Most teams prefer optimization over replacement. Migration risk is meaningful: 22% say transition risk strongly deters change and another 44% have manageable but real concerns, meaning 66% face some level of migration hesitation. The path to expanding capability runs through incremental, additive change, not full replacement.
Key Takeaways
01
Cost is the primary anchor: 52% stay on their current system due to cost or transition risk. Cost or capacity is a major barrier to change for just over half of respondents.
02
Most teams prefer optimization over replacement: 39% are open to incremental or phased change. 7% are comfortable with current tools and have low urgency to switch. Just 2% would switch if a clearly better fit or ROI is proven.
03
Switching risk keeps migration on hold: 22% say transition risk strongly deters change. 44% have manageable but real concerns. 66% face some level of migration hesitation.
Strategic Implication
Build go-to-market around incremental adoption. Add capability without requiring migration. Prove ROI inside the existing environment. Package transitions in phases that protect data and continuity. The customers ready to switch are a minority. The customers ready to add are the majority.
Openness to changing systems (n=103)
52%
are holding on to their current system due to cost or transition risk
Anchored by cost or transition risk
52%
Open to incremental or phased change
39%
Comfortable or open to switching for better ROI
9%
Demand for Proactive Intelligence and Guidance
Teams Want Proactive Guidance and Next-Best Actions
When asked their top priority for what fundraising tools should do next, respondents split into three groups: 75% want more proactive alerts and actionable insight, 16% prefer better access and connected data over AI features, and 10% specifically want AI-driven proactive guidance as their top priority. Within the 75% who want proactive alerts, two overlapping subsets emerge: 40% asked for broad proactive guidance and 34% want specific next-best-action recommendations. The market signal is clear: connectivity is now the baseline. Intelligence is the differentiator. The platform that helps fundraisers wake up to a prioritized list of donors to contact today wins the next phase of the category.
Key Takeaways
01
Proactive guidance is now expected: 75% want more proactive alerts and actionable insight. Within that 75%, 40% asked for broad proactive guidance and 34% want specific next-best-action recommendations.
02
AI vs. better access — a divided market: 16% prefer better access and connected data over AI features. 10% specifically want AI-driven proactive guidance. The market is divided on whether the next priority is integration or intelligence.
03
Customers want systems that surface priorities: Demand has shifted from tools that report data to tools that direct immediate action.
Strategic Implication
Build platform messaging around 'what to do today'. Surface donor risk, upgrade potential, and outreach timing inside existing workflows. The differentiator is no longer integration or reporting. It is the daily list of priority actions a fundraiser can act on without doing the analysis themselves.
Top technology priority (n=103)
75%
want more proactive alerts and actionable insight
Proactive alerts and actionable insight
75%
Better access and connected data (no AI)
16%
AI-driven proactive guidance specifically
10%
Ready to Unify Your Nonprofit's Donor Management?
DonorPerfect provides an all-in-one fundraising platform purpose-built for nonprofits, replacing fragmented stacks with a single, connected donor management system.
With DonorPerfect, your team gets a unified platform that handles donor data, online giving, automated communications, and reporting—all in one place. Stop reconciling data across disconnected tools and start building the deeper donor relationships that drive retention and revenue.
One Connected Platform – Donor CRM, online giving, event management, and reporting in a single system—no fragmented stack, no manual reconciliation
Built for Lean Nonprofit Teams – Intuitive tools and automated workflows designed so small teams can do more with less, without sacrificing donor relationships
Insights That Drive Retention – Actionable reporting and stewardship tools that turn donor data into the proactive guidance nonprofits need to grow giving
About DonorPerfect
DonorPerfect is a leading fundraising platform that helps nonprofits manage donor relationships, streamline operations, and grow giving. With robust CRM capabilities, online giving tools, automated communications, and powerful reporting, DonorPerfect empowers organizations of all sizes to focus on their mission while modernizing how they connect with donors.
How the Findings Connect
Strategic Takeaways
01
Critical
Close Workflow Gaps Around the CRM, Not Just the CRM Itself
77% have a central CRM, but only 16% report a mostly integrated stack. The gap is not in the CRM itself. It is in the workarounds, manual handoffs, and partial integrations that surround it. Close those operational gaps with stronger workflow coverage, cleaner integrations, and fewer handoffs before adding new tools.
02
Critical
Prioritize Automation Where Lean Teams Feel Manual Burden Most
62% operate with very small teams, and 75% say manual processes create errors and missed follow-up. Target automation at the highest-friction breakpoints: donation cleanup, duplicate detection, gift acknowledgment, and lapse follow-up. Efficiency gains matter most where capacity is tightest.
03
High
Turn Available Reporting Into Decision-Ready Insight
93% can access the data but 74% still have to dig through it manually to produce insight. Replace reports with recommendations. Surface what to do, not just what happened. The platform that converts raw data into a daily action list captures the next phase of the market.
04
High
Build on the Strong Stewardship Foundation Already in Place
Nonprofits already practice mature stewardship: 100% are relationship-driven, 93% deliver immediate thanks with layered follow-up, and 77% use tiered stewardship. Tools should make this easier to execute consistently. They should not require teams to invent new strategy.
04
High
Offer Lower-Risk, Incremental Change Paths
52% are anchored to current systems by cost and switching risk. 66% have meaningful migration concerns. Build go-to-market around incremental adoption. Add capability without requiring migration. Prove ROI inside the existing environment. Package transitions in phases that protect data and continuity.
Research Methodology
This research draws on 103 in-depth interviews with nonprofit fundraising leaders across faith-based organizations, education, social services, healthcare, environmental groups, advocacy, community nonprofits, and international aid. Interviews ran approximately 8 to 37 minutes (average 17 minutes) and covered fundraising operations, system integration, donor stewardship practices, use of historical giving data, and pain points caused by disconnected tools.
G2 collected and processed 103 interview transcripts, then analyzed a representative subset using inductive qualitative review to identify dominant themes: relationship-first strategy, CRM-centered fragmentation, lean-team constraints, manual data quality risk, the gap between data access and insight, and selective tiered stewardship. The thematic framework was applied consistently across all 103 interviews to classify each conversation by topic coverage, supporting examples, and strength of evidence. Coded findings were aggregated and summary metrics calculated programmatically to ensure reproducibility. Every statistic is traceable to the coded interview transcripts. Every quote is verbatim from the source, with light cleanup of obvious transcription artifacts only. Percentages may sum to 99% or 101% due to rounding. Strategic Takeaways are tagged Critical or High based on the strength of the underlying data and how broadly the issue affects the sample.
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