Popularity does not maximize reach

01There are too many product or flavor options to offer them all.

02Popular options can reach the same customers repeatedly.

03The combination with the widest unduplicated reach is unclear.

04The point where an added option stops increasing reach is uncertain.

TURF finds the combination that reaches the most people — with the fewest items.

FROM SETUP TO FIELDWORK

List the options once. See the exact selection screen respondents get.

No separate preview step — every option you add appears as its own checkbox on the right.

createsurvey · turf

Multiple choiceQ1

Select all the features you would use regularly.

Options

1Advanced search×

2Dark mode×

3Team collaboration×

4API access×

5Custom reports×

6Mobile app×

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Question 1 of 7

Select all the features you would use regularly. *

Advanced search

Dark mode

Team collaboration

API access

Custom reports

Mobile app

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Left: the full option list every TURF study starts from. Right: exactly what respondents see — one multi-select question, checked as you go.

FROM RESPONSES TO RESULTS

Maximum reach with fewer options

Every figure below comes from one real example study — 600 respondents picking everything that appeals from 10 items, computed by the same engine your own survey runs on.

Survey design

The survey method, the number of items, the search algorithm and the headline reach figures.

Design & key metricsmulti-select

Respondents600

Items rated10

MethodMulti-select (pick all that appeal)

AlgorithmGreedy forward selection

Largest bundle tested8 items

Best bundle reach99.5%

Best single item58%

Diminishing returns at4 items

Reach of each option

The share each item reaches on its own — the starting point every bundle builds from.

Solo reach by item10 items

Advanced reporting

58%

Team collaboration

41%

Mobile app

33.7%

API & integrations

23.5%

Real-time alerts

11.3%

Role-based access

10%

Custom workflows

6.3%

Offline access

4.5%

10 items in total. Share who said each one appeals, taken on its own.

Diminishing returns

Compare cumulative reach with the gain from each added option to identify where the incremental benefit begins to level off.

Reach curvesize 1–4

1234

cumulative reachmarginal gain

The marginal line drops under 5%p from the fourth item on — that is where adding stops paying.

Maximum-reach combination

For each combination size, the analysis selects the options that add the most new reach and highlights the recommended set.

Best bundle by sizegreedy

Recommended — 3 items

Advanced reportingMobile appTeam collaboration

94%reach of this bundle

1Advanced reporting58%base

2+ Mobile app82.5%+24.5%p

3+ Team collaboration94%+11.5%p

4+ API & integrations96.5%+2.5%p

Overlapping customer reach

The duplication matrix shows which options are frequently selected by the same respondents, helping you avoid redundant combinations.

Duplication matrixco-selection

Advanced reporting × Team collaboration27.5%

Advanced reporting × API & integrations16.7%

Team collaboration × API & integrations13.5%

Advanced reporting × Mobile app9.2%

Advanced reporting × Role-based access7%

Pairs chosen together most often. High overlap is wasteful in a bundle but makes a good package.

Recommended actions

The report summarizes practical implications supported by the analysis results.

ConclusionsN = 600

1One item reaches at most 58%; a bundle of three lifts it to 94%.

2The two most popular items reach 71.5% together, while the TURF pair reaches 82.5% — the second pick is the mobile app, not the second most popular item, because collaboration overlaps reporting and the mobile app does not.

3Incremental reach falls under 2.5%p from the fourth item, so three to four is the efficient ceiling once cost is counted.

4The recommended set is advanced reporting · mobile app · team collaboration, reaching 94% of respondents on its own.

A COMPLETE REPORT

See the full report from summary to conclusion.

The six cards above are fragments of this. Scroll the real output end to end, right here on the page.

TURF analysis — 10 items · 600 simulated respondents

Analysis Settings

600 respondents · 10 items in pool.

Segment by

Executive Summary

600 respondents · 10 items

This TURF study tested 600 respondents across 10 items, evaluating combinations up to 8 items using a sequential greedy algorithm. The single strongest item, "Advanced reporting & analytics", reaches 58% of respondents alone, while the 3-item optimal bundle (Advanced reporting & analytics · Mobile app · Team collaboration tools) lifts reach to 94%. Marginal gain falls below 5%p starting at bundle size 4, marking the point of diminishing returns. Compared with simply picking the 5 most popular items (98% reach), the TURF-optimal bundle reaches +0%p further (98%).

Study Design & Key Metrics

Metric	Value
Respondents	600
Items evaluated	10
Design	Multiple-select (choose every appealing item)
Method	Sequential greedy algorithm
Max bundle size tested	8 items
Reach at max tested bundle	99.5%
Best single item reach	58%
Diminishing returns point	4 items

Selection rate by candidate

The share of respondents who meet the selection criterion when each candidate is presented on its own. When several candidates are combined, whether the respondents overlap is examined as well.

Advanced reporting & analytics

58%

Team collaboration tools

41%

Mobile app

33.7%

API & integrations

23.5%

Real-time alerts & notifications

11.3%

Role-based permissions

10%

Custom workflows & automation

6.3%

Offline access

4.5%

AI-powered suggestions

3.5%

White-label / custom branding

How much changes as candidates are added

Shows how many more respondents meet the selection criterion as candidates are added one at a time. The bars are the share of respondents newly included by the candidate that was added.

Cumulative reachMarginal gain

Interpretation

Marginal gain (line) falls below 5%p starting at bundle size 4, while cumulative reach (bars) had already been climbing steadily before that point.

Recommended combination by number of candidates

For each number of candidates, the combination that the most respondents meeting the selection criterion fall into. The table holds the result of comparing every combination of that size.

RECOMMENDED BUNDLE — 3 ITEMS

Advanced reporting & analyticsMobile appTeam collaboration tools

94%reach with this bundle

Size	Bundle	Reach	Marginal
1	Advanced reporting & analytics	58%	baseline
2	Advanced reporting & analytics · Mobile app	82.5%	+24.5%p
3	Advanced reporting & analytics · Mobile app · Team collaboration toolsrecommended	94%	+11.5%p
4	Advanced reporting & analytics · Mobile app · Team collaboration tools · API & integrations	96.5%	+2.5%p
5	Advanced reporting & analytics · Mobile app · Team collaboration tools · API & integrations · Real-time alerts & notifications	98%	+1.5%p
6	Advanced reporting & analytics · Mobile app · Team collaboration tools · API & integrations · Real-time alerts & notifications · Role-based permissions	98.7%	+0.7%p
7	Advanced reporting & analytics · Mobile app · Team collaboration tools · API & integrations · Real-time alerts & notifications · Role-based permissions · Offline access	99.2%	+0.5%p
8	Advanced reporting & analytics · Mobile app · Team collaboration tools · API & integrations · Real-time alerts & notifications · Role-based permissions · Offline access · Custom workflows & automation	99.5%	+0.3%p

Building a line-up within a budget

Reflecting each candidate’s cost, finds the combination within a set budget that the most respondents meeting the selection criterion fall into.

Relative cost per candidate

Advanced reporting & analytics

Team collaboration tools

Mobile app

API & integrations

Real-time alerts & notifications

Role-based permissions

Custom workflows & automation

Offline access

AI-powered suggestions

White-label / custom branding

Budget

Advanced reporting & analyticsTeam collaboration toolsMobile app

94%

Selection rate

Cost used

Candidates

Other combinations within the budget	Selection rate	Cost
Advanced reporting & analytics · Mobile app · API & integrations	88.8%	3
Advanced reporting & analytics · Mobile app · Real-time alerts & notifications	85.2%	3
Advanced reporting & analytics · Mobile app · Role-based permissions	85%	3
Advanced reporting & analytics · Mobile app · Custom workflows & automation	84.3%	3
Advanced reporting & analytics · Mobile app · Offline access	83.3%	3

Interpretation

Every candidate currently costs the same (1), so this card gives the same answer as capping the number of candidates. Enter the real relative costs above and the answer can change — one expensive candidate may lose to two cheap ones.

Combinations that meet the target

Gathers the combinations that achieve the target share you set. You can choose among them taking each candidate’s cost and production conditions into account.

Target selection rate%

568

Combinations meeting the target

Fewest candidates that reach it

Cheapest combinations that meet it	Selection rate	Cost
Advanced reporting & analytics · Mobile app	82.5%	2
Advanced reporting & analytics · Team collaboration tools	71.5%	2
Advanced reporting & analytics · Team collaboration tools · Mobile app	94%	3
Advanced reporting & analytics · Mobile app · API & integrations	88.8%	3
Advanced reporting & analytics · Mobile app · Real-time alerts & notifications	85.2%	3

Candidates needed by target level

Target	Candidates needed	Selection rate reached
70%	2 candidates	82.5%
80%	2 candidates	82.5%
90%	3 candidates	94%
95%	4 candidates	96.5%
100%	not reached	—

Interpretation

568 combinations achieve the 70% target. Choose the one that fits your cost and production conditions among the leading combinations; you can also compare it with the current line-up, or with the result of swapping just one candidate.

Compared with the current line-up

Compares the selection rate of the current line-up against other candidate combinations.

RECOMMENDED

Advanced reporting & analyticsMobile appTeam collaboration toolsAPI & integrationsReal-time alerts & notifications

98%

Selection rate

1.7

Frequency

MOST-CHOSEN 5

Advanced reporting & analyticsTeam collaboration toolsMobile appAPI & integrationsReal-time alerts & notifications

98%

Selection rate

1.7

Frequency

Interpretation

Here the two line-ups coincide: picking the 5 most-chosen candidates already covers different respondents, so both reach 98%. There is nothing to gain by rearranging this line-up — the question moves to cost and the number of candidates.

Candidates chosen together

Check the share of respondents who chose two candidates together and the share who chose only one of them. Useful when changing or dropping a candidate from the combination.

Item A	Item B	Co-selected
Advanced reporting & analytics	Team collaboration tools	27.5%
Advanced reporting & analytics	API & integrations	16.7%
Team collaboration tools	API & integrations	13.5%
Advanced reporting & analytics	Mobile app	9.2%
Advanced reporting & analytics	Role-based permissions	7%
Advanced reporting & analytics	Real-time alerts & notifications	6.2%
Team collaboration tools	Role-based permissions	5.3%
Team collaboration tools	Real-time alerts & notifications	5.2%
Team collaboration tools	Mobile app	4.8%
Advanced reporting & analytics	Custom workflows & automation	4.2%

"Advanced reporting & analytics" and "Team collaboration tools" are co-selected most (27.5%) — likely appealing to the same underlying segment.

How firm these reach figures are

Each candidate's own reach, with the range it would fall in if the same respondents were sampled again (1000 resamples).

Advanced reporting & analytics

58% (54.2~62)

Team collaboration tools

41% (37~44.8)

Mobile app

33.7% (30~37.5)

API & integrations

23.5% (20.2~27)

Real-time alerts & notifications

11.3% (9~13.8)

Role-based permissions

10% (7.7~12.5)

Custom workflows & automation

6.3% (4.5~8.3)

Offline access

4.5% (3~6.2)

AI-powered suggestions

3.5% (2.2~5.2)

White-label / custom branding

3% (1.7~4.5)

Bundle size	Reach	Range	Gain over previous size
1 item(s)	58%	53.8~62	—
2 item(s)	82.5%	79.7~85.3	+24.5%p
3 item(s)	94%	92~95.8	+11.5%p
4 item(s)	96.5%	94.8~98	+2.5%p · within the range
5 item(s)	98%	96.8~99	+1.5%p · within the range
6 item(s)	98.7%	97.7~99.5	+0.7%p · within the range
7 item(s)	99.2%	98.3~99.8	+0.5%p · within the range
8 item(s)	99.5%	98.8~100	+0.3%p · within the range

Interpretation

6 neighbouring candidate pair(s) have overlapping ranges (Team collaboration tools / Mobile app, Real-time alerts & notifications / Role-based permissions, Role-based permissions / Custom workflows & automation, and 3 more) — those positions would swap in another sample. From 4 items onward, each extra item adds less than the width of its own range — the bundle is being chosen inside the sampling noise from there. Stop at the size where the gain still clears the range, and pick the rest on cost. The bundle itself is picked greedily, so a bundle whose reach is within range of the next one is a tie the sample broke, not a finding.

Removal Impact

How much reach drops if an item is removed from the fully-tested bundle — the bigger the drop, the more essential the item.

Remove "Mobile app"

−17.3%p

Remove "Advanced reporting & analytics"

−13.2%p

Remove "Team collaboration tools"

−5.2%p

Remove "API & integrations"

−1.8%p

Remove "Real-time alerts & notifications"

−1.3%p

Remove "Role-based permissions"

−0.5%p

Remove "Offline access"

−0.5%p

Remove "Custom workflows & automation"

−0.3%p

Interpretation

Removing "Mobile app" drops reach by 17.3%p — the least replaceable item in this bundle. "Custom workflows & automation" has the smallest impact if a cut is needed.

Feature Classification

Four quadrants from individual reach (x) and unique reach (y — respondents reached by this item alone), split at the median of each.

Core (high reach, high unique)

Advanced reporting & analytics58% / 12.7%

Team collaboration tools41% / 4.8%

Mobile app33.7% / 16.8%

API & integrations23.5% / 1.5%

Real-time alerts & notifications11.3% / 1.3%

Commodity (high reach, low unique)

None

Niche (low reach, high unique)

None

Low priority (low reach, low unique)

Role-based permissions10% / 0.5%

Custom workflows & automation6.3% / 0.3%

Offline access4.5% / 0.5%

AI-powered suggestions3.5% / 0.3%

White-label / custom branding3% / 0.2%

Conclusions & next steps

Points to consider when choosing a line-up, drawn from the survey results.

A single item reaches at most 58% ("Advanced reporting & analytics"), but the 3-item bundle lifts reach to 94%.

"Mobile app" ranked only #3 in individual reach, but contributed the largest marginal gain (+24.5%p) — a combination effect that ranking by individual popularity alone would have missed.

The popularity Top-5 bundle and the TURF-optimal bundle reach nearly the same audience here — item overlap is low enough that ranking alone works reasonably well.

Marginal gain drops below 2.5%p starting at bundle size 4 — 3–4 items is the practical, cost-efficient ceiling given production cost and complexity.

The recommended combination is Advanced reporting & analytics · Mobile app · Team collaboration tools, reaching 94% of respondents with this bundle alone.

Methodology — Reach is the share of respondents who found at least one item in the bundle appealing; Frequency is the average count of bundle items selected among respondents actually reached. The optimal bundle is derived via a sequential greedy algorithm that adds, at each step, the item with the largest marginal reach gain.

Scroll to explore the full report

IN THE REPORT

Maximum reach with fewer options

Compare individual reach, overlap, and incremental gain to find the smallest combination that covers the widest audience.

Cumulative reach curve

See total unduplicated reach climb as items are added.

Diminishing-returns point

Flags where each added item stops adding meaningful reach.

Best combination per size

The highest-reach set for every portfolio size, 1..n.

Exhaustive combination search

Evaluates all combinations, not just the top sellers.

Combination detail table

Members and reach % for each combination, best highlighted.

Marginal reach per item

Net new customers each item brings to the portfolio.

Low-contribution flags

Identify redundant items that only duplicate reach.

Pairwise duplication

Share of respondents who like both items in a pair.

Overlap & cannibalization view

Spot near-substitutes so you keep only the best pair member.

AI auto-interpretation

Plain-language reading of the optimal mix and its lift.

Make every item increase reach

See how much reach each item adds, where overlap begins, and when adding one more option stops being worthwhile.

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Build a lineup for maximum reach.

Popularity does not maximize reach

List the options once. See the exact selection screen respondents get.

Maximum reach with fewer options

Survey design

Reach of each option

Diminishing returns

Maximum-reach combination

Overlapping customer reach

Recommended actions

See the full report from summary to conclusion.

Analysis Settings

Selection rate by candidate

How much changes as candidates are added

Recommended combination by number of candidates

Building a line-up within a budget

Combinations that meet the target

Compared with the current line-up

Candidates chosen together

How firm these reach figures are

Removal Impact

Feature Classification

Core (high reach, high unique)

Commodity (high reach, low unique)

Niche (low reach, high unique)

Low priority (low reach, low unique)

Conclusions & next steps

Maximum reach with fewer options

Make every item increase reach

Analysis Settings

Selection rate by candidate

How much changes as candidates are added

Recommended combination by number of candidates

Building a line-up within a budget

Combinations that meet the target

Compared with the current line-up

Candidates chosen together

How firm these reach figures are

Removal Impact

Feature Classification

Core (high reach, high unique)

Commodity (high reach, low unique)

Niche (low reach, high unique)

Low priority (low reach, low unique)

Conclusions & next steps

Build a lineup for
maximum reach.