The phrase "add incremental value" is correct and usable in written English.
It can be used in contexts where you want to express the idea of contributing additional benefits or improvements gradually over time.
Example: "Our goal is to add incremental value to our services by continuously improving our processes and offerings."
Alternatives: "provide additional benefits" or "enhance value gradually."
Some of them add incremental value.
Firms that over pay to win deals risk multiple contraction and competitive disadvantage unless they can find ways to add incremental value beyond the traditional PE playbook of debt, cost cutting and installing new management.
TEE can add incremental value to TTE, but may still fail to detect life-threatening signs of PHV endocarditis.
The second major clinical challenge lies in determining, through appropriate studies, whether the new omics findings add incremental value to current clinical practices or clinical decision making.
Thus, our aim was to further assess whether the UKCAT is likely to add incremental value over A level (predicted or actual) attainment in the selection process.
Please clearly define that strain will add incremental value to current routine assessment with TDI in finding out individuals who may develop adverse myocardial fibrosis.
Analyses revealed that protective factors added incremental value to statistical modeling of violence, even when controlling for robust risk factors.
Each additional device or service, which creates that positive feedback loop of locking a user further and further down its rabbit hole, has the opportunity of adding incremental value to the company.
In this cohort of critically ill patients, increased echocardiographic LV end systolic volume, but not filling pressure, is a highly significant predictor of mortality that adds incremental value to APACHE III prediction.
WMSCI at peak-dose dobutamine and LVEF at rest added incremental value to the clinical parameters in predicting all-cause mortality (67 to 93 [ P < 0.0001] and 76 [ P < 0.0001], respectively).
For instance, Folsom et al.[ 15] looked at various novel markers to predict coronary heart disease, and tested whether these markers added incremental value to a standard predictive model that included age, race, sex, total cholesterol, high density lipoprotein, blood pressure, antihypertensive medications, smoking status, and diabetes.
