Research Well

ROI Calculator

Model the return on strategic research investment

Adjust the inputs below to model returns based on your own assumptions. Default values are set conservatively — the published evidence base typically supports higher figures. Hover over ? icons for explanations. Calculation methodology and sources are in the collapsible sections below.

Invested
Return
ROI
1
Evidencing Impact
Include
2
Thought Leadership
Include
3
Data-Driven Targeting
Include

Evidencing Impact

clients
£
15%
2%40%
20%
5%50%
per year
5%
0%20%
£

Thought Leadership

£
per year
33%
10%60%
£
clients
£
7%
0%20%

Data-Driven Targeting

£
organisations
20%
5%50%
£
25%
0%50%

Important Caveats

Revenue vs. margin: All returns shown are gross incremental revenue. Multiply by your margin rate for profit impact.

Attribution: Models assume direct attribution. Real-world causation is rarely this clean.

Evidence quality: Key sources are based on self-reported data. Treat figures as directional, not precise.

Overlap: Options 1 and 2 share return mechanisms (retention, pricing). Combined totals may overstate if both are pursued.

Summary bar

Total invested = sum of investments for included options
Total return   = sum of incremental returns for included options
ROI (%)        = ((Total return − Total invested) / Total invested) × 100

Option 1 — Evidencing Impact

Models three revenue streams: client retention, new client acquisition via case studies, and premium pricing on renewals.

Clients lost      = Active clients × Baseline churn rate
Clients retained  = Clients lost × Churn reduction
Retained revenue  = Clients retained × Avg contract value
New revenue       = New clients (case study) × Avg contract value
Renewing clients  = Active − Lost + Retained
Premium revenue   = Renewing × Avg contract value × Premium uplift
Total return      = Retained + New + Premium revenue

Option 2 — Thought Leadership

Models RFP conversion, premium pricing on existing renewals, and avoided content production cost.

RFPs won         = New RFP invitations × Win rate
New revenue      = RFPs won × New contract value
Premium revenue  = Renewals affected × Renewal value × Premium uplift
Content value    = £7,500 (fixed — avoided external production cost)
Total return     = New revenue + Premium revenue + Content value

Option 3 — Data-Driven Targeting

Models account-based targeting with evidence-backed propositions.

Clients won      = Targets per cycle × Conversion rate
Effective value  = Base contract value × (1 + Deal size uplift)
Total revenue    = Clients won × Effective contract value

Option 1 defaults

Churn reduction (20%). Edelman-LinkedIn (2024, n ≈ 3,500): 70% of C-suite said competitor thought leadership made them question an existing supplier; 25% ended or reduced a relationship. The 20% default applies this conservatively to the at-risk cohort only.

Premium pricing (5%). 60% of decision-makers willing to pay a premium for thought leadership producers (Edelman, 2024). The 5% default is intentionally conservative against stated willingness.

Case study influence (1 new client). 73% of B2B decision-makers say case studies influence purchasing (CMI, 2025). One new client per year is a minimal estimate.

Option 2 defaults

RFP invitations (3). 86% of decision-makers more likely to invite to RFP based on thought leadership (Edelman, 2024). Three per year is conservative.

Premium pricing (7%). 92% of C-suite willing to pay a premium (Edelman, 2025). Higher than Option 1 on the basis that a sector-defining report supports a stronger pricing position.

Content asset value (£7,500). Estimated avoided external production cost for 12+ derivative pieces at ~£600 per piece. Fixed value.

ROI context. IBM/Wiley (2025) reported 156% average ROI from thought leadership across 4,000 C-suite globally.

Option 3 defaults

Conversion rate (20%). Lower end of the ABM range (15–35%). General B2B win rate is 19–21% (Ebsta, 2025). The default does not assume outperformance.

Deal size uplift (25%). DemandBase reports 33% average ACV increase. The 25% default applies a moderating discount.

Key sources

Edelman-LinkedIn (2024) Reaching Beyond the Ready, n ≈ 3,500 · Edelman-LinkedIn (2025) Invisible Influence, n ≈ 2,000 · Anderson & Marshall (2025) / IBM IBV, n = 4,000 C-suite · Content Marketing Institute (2025) · Reichheld (1996) / HBR (2014) · Forrester (2025) · DemandBase (2024) · Ebsta x Pavilion (2024–25) · Ehrenberg-Bass / LinkedIn (Dawes, 2022)

No controlled experimental evidence exists demonstrating the causal effect of thought leadership on B2B revenue in occupational health specifically. All figures are from adjacent B2B sectors.