28-Day Dual Landing Page Campaign Analysis

Academic Writing LP (Citation Helper Feature)  vs  Business Emails LP (Smart Email Reply Feature)

Active campaign: Feb 1 – Feb 28, 2026 (28 days) | Tracking window: Feb 1 – Mar 3, 2026 (31 days — includes 3 trailing days for first-try attribution)

Source rows 5,732

Academic Writing lp_academic_writing

Unique LP clickers1,61657.7/day
1,616
Installers640 · 39.6%22.9/day
640
Total Triers363 · 22.5%11.7/day
4 tries3 tries2 tries1 try
Percentage of Total Triers
2+ tries74.9%
3+ tries48.8%
4+ tries17.1%
Installed but did not try277 · 43.3%9.9/day
277

Business Emails lp_business_emails

Unique LP clickers1,62057.9/day
1,620
Installers601 · 37.1%21.5/day
601
Total Triers298 · 18.4%9.6/day
3 tries2 tries1 try
Percentage of Total Triers
2+ tries ⚠12.1%
Nearly 90% of users who try Smart Email Reply do not try it again, while 74% of users who try Academic Citation Helper return for at least one additional try.

This suggests a potential disconnect between the Smart Email Reply landing page promise and the actual post-install product experience, increasing the likelihood that users fail to find immediate value and drop off.
3+ tries1.0%
Installed but did not try303 · 50.4%10.8/day
303
⚠ 46.7% of installers never tried a feature. This is directionally consistent with contemporary SaaS/PLG activation benchmarks. Userpilot's activation benchmark reports average SaaS activation around 37.5%, while Pendo frames onboarding success around whether users reach time-to-value and adopt core features after entry. Since this analysis defines activation as a first feature try, the 46.7% no-try rate suggests a meaningful but plausible post-install activation gap. [Userpilot, 2024] [Pendo]

The Business Emails funnel (50.4%) is notably higher than Academic Writing (43.3%), suggesting weaker post-install feature surfacing for Smart Email Reply.

Academic Writing

Avg click → install5.5 min
Avg install → first try31.3 min

Business Emails

Avg click → install7.9 min
Avg install → first try33.1 min

Daily average divides unique LP clickers, attributed installs, and install-with-no-try by the 28 active campaign days. First tries divide by the full 31-day tracking window.

Daily trend

Daily attributed funnel trend

Daily breakdown of each campaign's unique clicks and meaningful journey points.

All dates
RTB optimization lens

RTB Optimization Analysis

Use the weekday and time-based conversion views below to identify higher-value bidding windows, compare campaign quality by click timing, and guide more strategic budget allocation.

Weekday conversion

Weekday conversion averages

Feb 1-28 gave each weekday an equal count, and Mar 1-3 is only used to check whether users acquired during the campaign window later became trial users. Outcomes are credited to the weekday of the last LP click.

Time of day

Last-click time performance

Time windows use Feb 1-28 LP click timestamps. Installs and first tries are credited back to that last click time.

Report summary

Why these metrics matter

The report summary is generated from the campaign, weekday, and time-of-day sections above.