30/60/90-Day LTV by First Touch - Cosmise Attribution
Track cohort lifetime value at 30, 60 and 90 days, grouped by the channel that first acquired customers.
LTV by First-Touch Source
30/60/90-day LTV by first-touch channel. Totals are weighted by cohort size.
- Klaviyo856$64,236.61$93,656.61$118,179.73$75.06$109.42$138.07
- Other835$61,718.20$91,131.18$113,983.45$73.92$109.14$136.51
- Other514$36,865.27$52,844.89$67,408.07$71.72$102.82$131.16
- Snapchat816$53,822.83$81,754.30$105,383.94$65.96$100.19$129.15
- WhatsApp771$52,837.54$77,470.59$97,958.90$68.55$100.61$127.05
- Mailchimp595$40,622.60$57,545.44$72,051.96$68.25$96.80$121.09
- Other686$43,856.03$64,925.83$79,329.98$63.94$94.67$115.71
- GooglePaid612$39,688.20$56,753.37$69,971.64$64.89$92.75$114.35
- Reddit1,538$98,256.54$136,997.86$175,215.92$63.89$89.06$113.93
- Amazon1,021$58,538.08$91,741.71$116,057.18$57.34$89.86$113.69
- TikTok730$45,346.57$64,718.72$81,015.79$62.11$88.67$111.00
- Bing598$36,440.97$52,671.82$65,090.51$60.92$88.05$108.84
- Other962$54,904.49$79,554.97$101,640.18$57.06$82.69$105.65
- Twitter764$46,665.64$67,072.09$80,538.67$61.08$87.81$105.42
- YouTube997$58,318.20$83,936.26$105,017.12$58.51$84.16$105.33
- Other1,036$60,367.93$83,920.68$108,570.40$58.27$81.00$104.85
- Meta825$45,710.43$69,461.69$86,266.80$55.44$84.80$104.54
- DuckDuckGo797$48,100.79$67,349.74$82,777.52$60.35$84.50$103.86
- Other984$56,461.63$83,018.10$100,219.71$57.37$84.39$101.85
- Meta833$49,641.00$68,462.77$84,552.89$59.59$82.20$101.50
- Other270$15,772.39$22,140.56$27,207.34$58.42$82.00$100.77
- Other644$37,984.87$52,276.22$64,727.93$58.98$81.17$100.19
- Other1,008$51,758.76$78,349.24$100,596.15$51.35$77.70$99.60
- Meta522$28,516.90$41,023.90$51,765.58$54.62$78.57$99.16
- GooglePaid864$49,965.72$69,255.20$86,007.72$57.83$80.15$99.08
- Untagged680$37,483.02$53,058.17$66,677.76$55.12$78.62$98.05
- GooglePaid791$43,157.73$60,116.05$77,215.00$54.55$75.98$97.62
- Other691$37,705.49$52,427.55$65,805.78$54.54$75.85$95.20
- Taboola1,418$68,130.67$105,803.04$134,598.39$48.04$74.62$94.92
- Pinterest623$32,392.07$46,167.19$58,407.43$52.00$74.12$93.77
- Other1,160$56,637.48$83,345.47$108,207.46$48.83$71.86$93.28
- Discord309$16,877.12$23,022.85$28,797.65$54.62$74.55$93.22
- Other1,010$47,343.78$73,462.98$94,050.57$46.90$72.74$93.17
- Other840$45,286.22$61,477.48$77,556.07$53.90$73.19$92.33
- Other841$43,068.25$62,425.40$77,529.23$51.20$74.23$92.20
- Linktree167$9,313.43$12,563.32$15,376.24$55.78$75.22$92.07
- Telegram497$25,064.85$36,942.98$45,738.19$50.42$74.33$92.01
- Quora878$47,251.34$65,034.60$79,582.70$53.83$74.09$90.65
- Other407$19,997.74$29,327.83$36,752.76$49.14$72.06$90.32
- Bing744$37,135.52$52,604.85$66,086.94$49.93$70.72$88.86
- Meta478$24,839.72$33,861.72$42,409.37$51.94$70.82$88.72
- Other608$28,925.34$42,726.49$53,828.86$47.59$70.28$88.57
- GooglePaid676$33,426.79$48,755.94$59,784.53$49.46$72.11$88.43
- LinkedIn767$38,323.63$54,712.92$67,579.77$49.97$71.35$88.12
- Other834$39,809.51$57,925.47$71,363.88$47.73$69.46$85.56
- TikTok392$19,026.57$27,057.60$33,463.75$48.53$69.05$85.38
- Outbrain846$35,646.49$55,575.66$71,351.33$42.12$65.70$84.33
- Yahoo849$39,321.22$57,393.11$71,309.49$46.31$67.61$83.98
- Other447$20,654.10$29,680.72$37,233.61$46.22$66.36$83.28
- Other210$10,148.12$13,862.07$17,224.41$48.33$66.01$82.97
- YouTube498$23,164.98$32,558.02$40,590.28$46.53$65.40$81.54
- Other371$17,434.66$24,554.02$29,993.97$46.98$66.19$80.83
- Other548$24,643.58$35,033.20$44,148.38$44.97$63.92$80.58
- TikTok222$10,348.57$14,805.54$17,846.60$46.61$66.66$80.39
- Etsy387$17,338.72$25,129.81$31,060.33$44.79$64.94$80.25
- Amazon104$4,802.96$6,648.89$8,177.30$46.19$63.93$78.61
- Other229$10,322.09$14,826.79$17,553.09$45.10$64.79$76.67
- Yahoo149$6,765.98$9,165.03$11,257.04$45.41$61.51$75.55
- Other358$14,855.77$21,407.11$26,515.04$41.47$59.78$74.05
- Other79$3,187.09$3,883.39$5,119.68$40.34$49.16$64.81
What does this show?
A table of 30/60/90-day LTV by first-touch channel for customers in the selected date range (if shown). Each row represents one Channel with its Platform, Customers, Rev 30d, Rev 60d, Rev 90d, LTV 30d, LTV 60d, and LTV 90d. A totals snapshot appears above the table.
What is on screen?
- Title: LTV by First-Touch Source
- Controls: search box ("Search channels / platforms…"), platform filter dropdown, optional Quick insights (click to drill down) strip
- Totals chips: Customers, Rev 30d, Rev 60d, Rev 90d, LTV 30d, LTV 60d, LTV 90d
- Table columns: Channel, Platform, Customers, Rev 30d, Rev 60d, Rev 90d, LTV 30d, LTV 60d, LTV 90d
- Footnote: LTV is revenue per acquired client within 30/60/90 days of first touch; “Direct” can be hidden
- Conversion bar formula: converted ÷ total × 100
How can I read this?
Scan down LTV 90d to see which first-touch channels have the highest value per customer over 90 days. Compare LTV 30d and LTV 60d to understand earlier payback. Use Customers to gauge cohort size when comparing LTVs. The totals chips provide a quick snapshot across what is displayed.
Examples
- If one row has the highest LTV 90d, it leads when the table is sorted by LTV 90d.
- If a row shows many Customers but lower LTV 30d, that channel acquired a larger cohort with lower early spend.
Interactions
Click a column header like LTV 90d, Customers, or Channel to sort. Type in the search box to filter rows. Use the platform dropdown to show a single platform group. If the Quick insights strip is visible, its buttons (e.g., Filter channel, Only this platform, Sort by customers) apply those filters.
LTV by First-Touch Source — FAQ

See this insight in action
Want a quick walkthrough tailored to your goals? Book a live demo to explore how this widget works and how Cosmise can help.
More insights
Last Channel Before Abandonment
See which marketing channel users last touched before dropping off to target smarter retargeting.
Touchpoints Before Drop-Off
Measure how many interactions users have before abandoning to spot friction and fix leaks.
Average Time to Convert
Understand the typical time from first touch to purchase to set expectations and optimize funnels.
Customer Behavior Patterns
Identify the most common browsing and buying behaviors to tailor journeys and messaging.
Channel Impact by Journey Stage
Quantify each channel’s impact at every stage of the buyer journey to allocate budget effectively.
Conversion Time Distribution
Visualize how long conversions take across customers to uncover fast vs. slow-moving segments.
Conversions by Hour & Channel
Find the hours of day that drive the most conversions and the channels behind them.
Core User Metrics Overview
Monitor total, new, returning and active users for the selected date range.
Daily User Metrics Trends
Trend daily totals for new, returning and active users to spot momentum and dips.
Event Type Distribution
See which on-site events (views, carts, checkouts, purchases) occur most often.
First-Time vs. Repeat Purchases
Compare new vs. repeat order volume and revenue to gauge retention health.
New vs. Returning Users by Source
Discover the source/medium combos that attract new customers and bring users back.
Top First-Touch Sources
Identify where customers first discovered your brand to optimize acquisition.
New Customers: First vs. Last Source
Compare initial vs. closing channels for new buyers to balance prospecting and closing.
Returning Customers: First vs. Last Source
See which channels start and finish returning-buyer journeys to guide retention spend.
Funnel Step Drop-Off
Quantify how many users reach each step and where they exit to prioritize fixes.
Purchases by Hour & Referrer
See when purchases peak and which referrers dominate those hours.
Channel Lift & Assist Analysis
Measure how often channel A appears in journeys that convert on channel B to justify upper-funnel spend.
Initiating & Influencing Channels
Reveal channels that kick-off or influence converting journeys beyond last-click.
Channel Presence in Long Journeys
Find channels consistently present in complex, multi-touch paths.
Journey Length vs. Conversion Efficiency
Analyze whether longer paths correlate with higher AOV or lower conversion rates.
Journey Touchpoint Distribution
Quantify the share of short vs. long journeys to size effort to convert.
Longest Engagement Channel
See which channel holds user attention for the longest during converting paths.
Even Multi-Touch Attribution
Distribute credit evenly across all touches so fractional credits sum to 1 per journey.
New Customer Acquisition by Channel
Attribute first-ever purchases to earliest touchpoints to see where new customers come from.
Daily Platform Impact
Compare platform performance day by day across purchases, revenue and ROAS.
Platform Impact Summary
Rank platforms by total impact to guide budget allocation.
Platform Over-Reporting Audit
Compare ad platform claims (Google, Meta) to real attribution to estimate over-reporting.
Product Conversions by Channel
See which products convert from which channels to align merchandising and media.
Product: First & Last Sources
Find common first and last sources for each product’s converting journeys.
Journey Length by Product
Compare average conversion time across products to detect friction or urgency.
Daily Revenue & Orders
Track revenue and order counts by day to understand sales cadence and seasonality.
Source Performance Comparison
Benchmark sources against each other on conversions, revenue and efficiency.
Performance Spike Reasoning
Explain sales spikes by pinpointing the channels and campaigns that caused them.
Touchpoints per Journey
Count interactions per converting journey to gauge effort and attribution spread.
Vendors: Items Sold & Top Channel
Rank vendors by items sold and reveal their leading attribution channel.
Visits Before Purchase
Quantify sessions required before conversion to identify high-effort paths.
Likely Wasted Ad Spend
Estimate spend on users who would have purchased anyway to cut cannibalization.