Loop Voice
    Issue 2October 2026Published monthlyFinal

    Loop Voice Ecommerce Benchmark, October 2026

    How AI phone calls and texts perform across ecommerce use cases: who picks up, who converts, and how much of that revenue would not have happened without the contact.

    13,639 shoppers contacted16,054 calls13,006 shoppers texted7 online stores2 of 5 use cases liveOct 1 to 31, 2026About 97% of calls to US numbers

    Download the data (CSV)JSONCite this report
    Published November 9, 2026Previous issue: September 2026
    October 2026, all use cases

    Key numbers

    Answer rate
    11.8%−4.1 pts vs September 2026of shoppers called picked up at least once, store-weighted95% CI 11.3 to 12.4 · n 13,639All shoppers: 8.9% (1,127 of 12,647 called)
    Call conversion
    9.3%−0.9 pts vs September 2026of shoppers who picked up converted with the call as last touch (5 days), store-weighted95% CI 7.7 to 11.1 · n 1,127All shoppers: 8.9% (100 of 1,127 who picked up)
    SMS click rate
    9.8%+4.5 pts vs September 2026of shoppers who got a text with a link opened it, store-weighted95% CI 9.3 to 10.3 · n 13,006
    SMS conversion
    7.9%−0.2 pts vs September 2026of shoppers texted converted with a text as the credited touch, no answered call (5 days), store-weighted95% CI 7.4 to 8.4 · n 13,006All shoppers: 6.7% (876 of 13,006 texted)
    Contacted conversion
    8.5%−0.2 pts vs September 2026of shoppers we reached hit the goal within 5 days of first contact; not the lift, store-weighted95% CI 8.0 to 9.0 · n 13,639All shoppers: 7.4% (1,004 of 13,639 contacted)
    LiftEstimate
    +3.8 pts7.5% of the 11,666 contacted shoppers in the measured stores converted, against 3.7% for the 3,044 enrolled shoppers never reached in the same 4 stores; not a randomized holdout95% CI 2.9 to 4.6 pts
    Incremental revenueEstimate
    $75K440 extra orders at $169.62 per order; $5.47 per shopper contacted, $4.65 per call95% CI $56K to $93K
    Opt-out rate
    3.4%−6.1 pts vs September 2026of answered calls asked not to be called again95% CI 2.5 to 4.6 · n 1,127
    Quote these

    Findings

    Each finding is one sentence with its number, written to be quoted as it stands.

    1. 01

      Against enrolled shoppers the flows never reached in the same stores, AI calls and texts added an estimated +3.8 points of 5-day conversion (95% CI 2.9 to 4.6), about $75K in incremental revenue. An estimate, not a randomized holdout.

      Use casesn 13,639 contacted, 3,044 not reached, 4 stores
    2. 02

      Abandoned checkout generated $14.22 of incremental revenue per shopper contacted.

      Use casesn 4,492 shoppers contacted
    3. 03

      Texts were the credited touch on 89.8% of attributed conversions and answered calls on 10.2% (an answered call in the window takes the credit).

      Use casesn 976 attributed conversions
    4. 04

      Checkouts that got a first call within 15 minutes ordered at 20.0% within 5 days, against 8.5% for those that waited 1 to 4 hours.

      Speed to calln 1,931 and 238 shoppers
    5. 05

      A branded dedicated number was answered 9.5% of the time, a local-presence Super Number 8.6% and a plain dedicated number 7.3%.

      Caller IDn 17,244 calls
    6. 06

      Answer rates ranged from 2.9% in Colorado to 13.4% in Missouri.

      Statesn 13,788 US calls
    Answers: What can an AI voice agent do for an online store?

    Use cases

    Two of the five use cases ran this month. Post-purchase upsell was the largest by volume, with 9,147 shoppers contacted, and abandoned checkout converted best, at 15.2% within 5 days (store-weighted). No store runs a randomized holdout yet, so lift is estimated against enrolled shoppers the flows never reached in the same stores.

    Results by use case

    Call and SMS conversion credit each sale to its last touch within 5 days: an answered call or a click on a Loop Voice text. Lift is estimated against enrolled shoppers the flows never reached. Rates are store-weighted.

    Abandoned checkout

    Shoppers who started checkout and left

    Goal: Order placed

    Shoppers contacted4,492
    Answer rate13.7%
    Call conversion14.0%
    SMS click rate12.8%
    SMS conversion14.3%
    Contacted conversion15.2%
    Lift (estimated)+6.4 pts4.6 to 8.2
    Incremental revenue (estimated)$64K$46K to $82K
    Per shopper contacted$14.22
    Avg order value$330

    Post-purchase upsell

    Customers after an order

    Goal: Add-on accepted

    Shoppers contacted9,147
    Answer rate9.7%
    Call conversion1.8%
    SMS click rate7.2%
    SMS conversion1.8%
    Contacted conversion1.9%
    Lift (estimated)+2.4 pts1.5 to 3.2
    Incremental revenue (estimated)$11K$7K to $15K
    Per shopper contacted$1.17
    Avg order value$61

    All use cases

    Shoppers contacted13,639
    Answer rate11.8%
    Call conversion9.3%
    SMS click rate9.8%
    SMS conversion7.9%
    Contacted conversion8.5%
    Lift (estimated)+3.8 pts2.9 to 4.6
    Incremental revenue (estimated)$75K$56K to $93K
    Per shopper contacted$5.47
    Avg order value$300

    Rates are store-weighted: no store is more than 15% of a rate, so they describe a typical store and do not multiply back to the shopper counts. Across every shopper: Abandoned checkout 11.6% answered (520 of 4,490 called) and 16.9% converted (761 of 4,492); Post-purchase upsell 7.4% answered (607 of 8,157 called) and 2.7% converted (243 of 9,147). Lift, incremental revenue and revenue per shopper are totals across stores.

    Win-back not live

    Customers with no order in 90+ days

    No win-back enrolments this month.

    Failed payment not live

    Customers whose charge or renewal failed

    Failed-payment events are not connected from store platforms yet, so no flow enrols these shoppers.

    Subscription check-in not live

    Subscribers before their next shipment

    Subscription events (upcoming shipment, skip, cancel) are not connected yet, so no flow enrols these shoppers.

    Estimated lift by use case

    Contacted shoppers against enrolled shoppers the flows never reached, store by store. Whiskers show 95% intervals. Not a randomized holdout.

    Abandoned checkoutn 4,492
    +6.4 pts
    Post-purchase upselln 9,147
    +2.4 pts
    0+10.0 pts
    Show the numbers
    Use caseLift95% CIComparison rateComparison n
    Abandoned checkout+6.4 pts4.6 to 8.2 pts9.8%1,885
    Post-purchase upsell+2.4 pts1.5 to 3.2 pts0.5%1,159

    Who closed the sale

    Share of attributed conversions credited to each channel by last click within 5 days. Sales with no touch in the window are left out here but still count in conversion and lift.

    All use cases976 attributed
    10.2%
    89.8%
    Abandoned checkout735 attributed
    11.2%
    88.8%
    Post-purchase upsell241 attributed
    7.5%
    92.5%
    CallText
    Show the numbers
    Use caseCallTextCall shareText shareAttributed
    All use cases10087610.2%89.8%976
    Abandoned checkout8265311.2%88.8%735
    Post-purchase upsell182237.5%92.5%241
    Answers: How fast should I call an abandoned checkout?

    Speed to call

    The clock counts calling-hours minutes only (8 am to 9 pm in the shopper's time zone), so a checkout abandoned at 11 pm and called at 8:04 am counts as 4 minutes. 70% of checkouts were abandoned during calling hours and got a first call a median 11 minutes later, down from 31 minutes in September. Checkouts called within 15 minutes ordered at 20.0%, against 8.5% for those that waited 1 to 4 hours.

    Abandoned checkout: answer rate and 5-day order rate, by calling-hours wait before the first call

    Abandoned during calling hours: 70%

    median 11 minutes to the first call

    Abandoned after hours: 30%

    first call a median 9.7 hours later on the clock

    AnsweredOrdered within 5 days

    Under 5 minutesn 0

    Answeredn<200
    Ordered within 5 daysn<200

    5 to 15 minutesn 1,931

    Answered
    15.7%
    Ordered within 5 days
    20.0%

    15 to 60 minutesn 740

    Answered
    9.5%
    Ordered within 5 days
    17.4%

    1 to 4 hoursn 238

    Answered
    12.5%
    Ordered within 5 days
    8.5%

    Abandoned after hours, called the next dayn 1,367

    Answered
    11.8%
    Ordered within 5 days
    7.9%
    0%20%40%

    Post-purchase upsells and failed payments are also called within minutes; win-backs and subscription check-ins are scheduled, so speed does not apply to them.

    Show the numbers
    WaitnAnswered95% CIOrdered within 5 days95% CI
    Under 5 minutes0n<200n/an<200n/a
    5 to 15 minutes1,93115.7%14.1 to 17.420.0%18.3 to 21.8
    15 to 60 minutes7409.5%7.6 to 11.817.4%14.8 to 20.3
    1 to 4 hours23812.5%8.9 to 17.38.5%5.6 to 12.7
    Abandoned after hours, called the next day1,36711.8%10.2 to 13.67.9%6.6 to 9.5
    Answers: What time of day should I call customers?

    When shoppers pick up

    Thursday at 2 pm was the best hour of the month, with 14.7% of calls answered. On weekdays, afternoon calls (noon to 5 pm) were answered more often than morning calls (8 to 10 am), 10.5% against 6.7%, as in September.

    Answer rate per call, by hour and weekday

    Shopper's local time. The outlined cell is the best hour of the month.

    8a9a10a11a12p1p2p3p4p5p6p7p8p
    Mon
    Tue
    Wed
    Thu
    Fri
    Sat
    Sun
    3.0%
    14.7%
    under 200 calls, not shown
    Show the numbers
    DayHourCallsAnswer rate per call95% CI
    Monday8 am2617.9%5.2 to 11.8
    Monday9 am3058.7%6.0 to 12.4
    Monday10 am135n<200n/a
    Monday11 am177n<200n/a
    Monday12 pm155n<200n/a
    Monday1 pm116n<200n/a
    Monday2 pm3338.9%6.3 to 12.4
    Monday3 pm3528.6%6.1 to 12.0
    Monday4 pm33711.4%8.4 to 15.2
    Monday5 pm2859.2%6.4 to 13.1
    Monday6 pm191n<200n/a
    Monday7 pm71n<200n/a
    Monday8 pm51n<200n/a
    Tuesday8 am4319.9%7.4 to 13.1
    Tuesday9 am2974.0%2.3 to 6.9
    Tuesday10 am116n<200n/a
    Tuesday11 am68n<200n/a
    Tuesday12 pm112n<200n/a
    Tuesday1 pm85n<200n/a
    Tuesday2 pm2889.9%7.0 to 13.9
    Tuesday3 pm28611.3%8.1 to 15.5
    Tuesday4 pm2336.4%3.9 to 10.3
    Tuesday5 pm191n<200n/a
    Tuesday6 pm179n<200n/a
    Tuesday7 pm65n<200n/a
    Tuesday8 pm29n<200n/a
    Wednesday8 am3508.1%5.7 to 11.4
    Wednesday9 am3124.6%2.8 to 7.5
    Wednesday10 am65n<200n/a
    Wednesday11 am62n<200n/a
    Wednesday12 pm83n<200n/a
    Wednesday1 pm70n<200n/a
    Wednesday2 pm2359.7%6.5 to 14.2
    Wednesday3 pm2338.7%5.7 to 13.0
    Wednesday4 pm2118.1%5.1 to 12.6
    Wednesday5 pm2178.1%5.2 to 12.5
    Wednesday6 pm126n<200n/a
    Wednesday7 pm98n<200n/a
    Wednesday8 pm43n<200n/a
    Thursday8 am2574.5%2.6 to 7.8
    Thursday9 am2595.5%3.3 to 9.0
    Thursday10 am163n<200n/a
    Thursday11 am126n<200n/a
    Thursday12 pm182n<200n/a
    Thursday1 pm136n<200n/a
    Thursday2 pm30414.7%11.2 to 19.1
    Thursday3 pm38114.4%11.2 to 18.3
    Thursday4 pm3259.1%6.4 to 12.7
    Thursday5 pm2105.0%2.8 to 8.8
    Thursday6 pm122n<200n/a
    Thursday7 pm80n<200n/a
    Thursday8 pm48n<200n/a
    Friday8 am3106.2%4.0 to 9.5
    Friday9 am2895.6%3.5 to 8.9
    Friday10 am161n<200n/a
    Friday11 am99n<200n/a
    Friday12 pm108n<200n/a
    Friday1 pm100n<200n/a
    Friday2 pm33510.8%7.9 to 14.6
    Friday3 pm3759.3%6.8 to 12.7
    Friday4 pm38512.8%9.8 to 16.5
    Friday5 pm2824.8%2.9 to 8.0
    Friday6 pm113n<200n/a
    Friday7 pm73n<200n/a
    Friday8 pm49n<200n/a
    Saturday8 am3835.5%3.6 to 8.3
    Saturday9 am2857.8%5.2 to 11.5
    Saturday10 am196n<200n/a
    Saturday11 am149n<200n/a
    Saturday12 pm166n<200n/a
    Saturday1 pm20214.1%10.0 to 19.6
    Saturday2 pm3518.6%6.1 to 12.0
    Saturday3 pm3493.8%2.2 to 6.4
    Saturday4 pm2219.5%6.3 to 14.1
    Saturday5 pm163n<200n/a
    Saturday6 pm133n<200n/a
    Saturday7 pm19n<200n/a
    Saturday8 pm1n<200n/a
    Sunday8 am25511.8%8.4 to 16.3
    Sunday9 am2004.6%2.5 to 8.5
    Sunday10 am160n<200n/a
    Sunday11 am146n<200n/a
    Sunday12 pm174n<200n/a
    Sunday1 pm133n<200n/a
    Sunday2 pm2335.5%3.2 to 9.2
    Sunday3 pm2283.0%1.4 to 6.1
    Sunday4 pm194n<200n/a
    Sunday5 pm134n<200n/a
    Sunday6 pm151n<200n/a
    Sunday7 pm24n<200n/a
    Sunday8 pm3n<200n/a
    Answers: Will shoppers in my market pick up?

    Answer rate by state

    Placed by the area code of the shopper's phone number. Shoppers in Missouri picked up most often (13.4% of calls) and shoppers in Colorado least often (2.9%). Among the states with the most calls, New York led at 13.0% (1,229 calls). Outside the US, Canada came in at 9.4%.

    Answer rate per call, US states

    Each square is a state, placed roughly where it sits on the map. Grey states had fewer than 200 calls.

    AK
    AL
    AR
    AZ8.6
    CA9.6
    CO2.9
    CT
    DC
    DE
    FL9.3
    GA8.6
    HI
    IA
    ID
    IL9.8
    IN7.2
    KS
    KY
    LA6.9
    MA6.3
    MD8.5
    ME
    MI9.1
    MN8.4
    MO13.4
    MS
    MT
    NC6.1
    ND
    NE
    NH
    NJ6.1
    NM
    NV
    NY13.0
    OH5.8
    OK
    OR
    PA5.6
    RI
    SC
    SD
    TN5.7
    TX9.3
    UT
    VA7.7
    VT
    WA7.9
    WI12.7
    WV
    WY
    2.9%
    13.4%
    under 200 calls, not shown
    Show every state
    StateCallsAnswer rate per call95% CI
    Missouri23813.4%9.6 to 18.3
    New York1,22913.0%11.2 to 15.0
    Wisconsin24512.7%9.1 to 17.5
    Illinois9169.8%8.0 to 11.9
    California1,9969.6%8.4 to 11.0
    Florida1,0399.3%7.7 to 11.2
    Texas1,4739.3%7.9 to 10.9
    Michigan3599.1%6.5 to 12.5
    Arizona2788.6%5.8 to 12.5
    Georgia3908.6%6.2 to 11.8
    Maryland2628.5%5.7 to 12.5
    Minnesota4388.4%6.2 to 11.4
    Washington3957.9%5.6 to 11.0
    Virginia4067.7%5.5 to 10.7
    Indiana3987.2%5.0 to 10.2
    Louisiana3866.9%4.8 to 9.9
    Massachusetts3996.3%4.3 to 9.1
    North Carolina3756.1%4.1 to 9.0
    New Jersey5036.1%4.3 to 8.5
    Ohio6605.8%4.3 to 7.9
    Tennessee2845.7%3.5 to 9.0
    Pennsylvania8015.6%4.2 to 7.4
    Colorado3182.9%1.5 to 5.4
    Alaska54n<200n/a
    Alabama150n<200n/a
    Arkansas114n<200n/a
    Connecticut198n<200n/a
    District of Columbia47n<200n/a
    Delaware46n<200n/a
    Hawaii117n<200n/a
    Iowa160n<200n/a
    Idaho91n<200n/a
    Kansas117n<200n/a
    Kentucky158n<200n/a
    Maine69n<200n/a
    Mississippi77n<200n/a
    Montana76n<200n/a
    North Dakota34n<200n/a
    Nebraska101n<200n/a
    New Hampshire79n<200n/a
    New Mexico85n<200n/a
    Nevada154n<200n/a
    Oklahoma139n<200n/a
    Oregon196n<200n/a
    Rhode Island53n<200n/a
    South Carolina188n<200n/a
    South Dakota45n<200n/a
    Utah150n<200n/a
    Vermont28n<200n/a
    West Virginia77n<200n/a
    Wyoming42n<200n/a

    Outside the US

    CountryCallsAnswer rate per call95% CI
    Canada3739.4%6.8 to 12.8
    Answers: What number should my calls come from?

    Caller ID

    Branded dedicated numbers, which show the brand's name on supported phones, were answered 9.5% of the time, Super Number calls from a local area code 8.6% and plain dedicated numbers 7.3%. Super Number carried 91% of calls, and its answer rate rose from 5.3% in September.

    Answer rate per call, by the number shoppers saw

    Super Numbern 15,642
    8.6%
    Dedicated numbern 646
    7.3%
    Branded dedicated numbern 956
    9.5%
    Super Number:
    Loop Voice's local-presence pool: the call shows a number from the shopper's own area code
    Dedicated number:
    One number reserved for the brand
    Branded dedicated number:
    A dedicated number that also shows the brand's name on supported phones
    Show the numbers
    Number typeCallsAnswer rate per call95% CI
    Super Number15,6428.6%8.2 to 9.0
    Dedicated number6467.3%5.5 to 9.6
    Branded dedicated number9569.5%7.8 to 11.5
    Answers: How much is a converted shopper worth?

    Order value

    Converted abandoned checkouts averaged $330, against a $212 average order across the same stores, and accepted post-purchase add-ons averaged $61. Called shoppers with bigger carts ordered more often: 6.4% under $50, against 24.3% at $250 to $500.

    Average order value of converted shoppers, by use case

    Upsell is the value of the add-on.

    Average order in the same stores, $212
    Abandoned checkout
    $330
    Post-purchase upsell
    $61
    Show the numbers
    Use caseAverage order value
    Abandoned checkout$330
    Post-purchase upsell$61
    Average order in the same stores$212

    Abandoned checkout: 5-day order rate by cart value

    Called shoppers. Whiskers show 95% intervals.

    Under $50n 2,008
    6.4%
    $50 to $100n 587
    13.3%
    $100 to $250n 865
    18.9%
    $250 to $500n 652
    24.3%
    $500 and upn 378
    20.5%
    Show the numbers
    Cart valueShoppers5-day order rate95% CI
    Under $502,0086.4%5.4 to 7.6
    $50 to $10058713.3%10.8 to 16.3
    $100 to $25086518.9%16.4 to 21.6
    $250 to $50065224.3%21.2 to 27.7
    $500 and up37820.5%16.7 to 24.9
    Answers: Do texts help?

    Texts

    13,006 shoppers got a text. 9.8% opened the link and 7.9% converted with a text as the credited touch within 5 days (store-weighted), while 5.6% replied STOP. Texts were the credited touch on 89.8% of attributed conversions.

    Shoppers who got a text, after a missed call or a conversation
    13,006
    Opened the link
    9.8%95% CI 9.3 to 10.3 · n 13,006
    Converted with a text as the credited touch (5 days)
    7.9%95% CI 7.4 to 8.4 · n 13,006
    Replied STOP
    5.6%95% CI 5.2 to 6.0 · n 13,006
    Delivered
    not tracked yet

    Not measured yet

    What this issue cannot show yet, and why. Each appears once its data stream is live and every cell has 200+ shoppers or calls.

    Randomized holdout

    No store runs a randomized holdout yet, so lift is estimated against enrolled shoppers the flows never reached in the same stores. Holdout results replace the estimate once stores switch it on.

    Win-back

    No win-back enrolments this month.

    Failed payment

    Failed-payment events are not connected from store platforms yet, so no flow enrols these shoppers.

    Subscription check-in

    Subscription events (upcoming shipment, skip, cancel) are not connected yet, so no flow enrols these shoppers.

    Main reason given

    Reason tags cover 23.1% of conversations; no use case reaches 200 tagged conversations yet.

    Conversion by discount level

    Each code level needs 200+ conversations where price was the objection before it is published (this month: no code allowed 5, 10% off 16, 15% off 2). Code use on the converted order is not captured yet.

    Results by vertical

    Stores do not carry a vertical on their profile yet.

    Text delivery rate

    Delivery receipts are not recorded for most texts yet, so texts are counted as sent.

    How the numbers are made

    Method

    • Who is in it. Online stores on Shopify, WooCommerce, SHOPLINE or a custom platform, live on Loop Voice for at least 30 days, with 300 or more contacts in the month: 7 stores. No store makes up more than 15% of any figure.
    • Store-weighted rates. Headline and use-case rates are store-weighted: no store is more than 15% of a rate, so they describe a typical store. The pooled rate across all shoppers is shown next to each headline rate. Lift, incremental revenue and revenue per shopper are totals: each store's own lift times its own shoppers, summed.
    • Use cases and goals. Each contact belongs to one use case, and each use case has one goal: order placed, add-on accepted, new order, payment went through, or next shipment confirmed. Contacted conversion counts 5 days from first contact and is descriptive.
    • Lift. When a store runs a holdout, 10% of eligible shoppers are picked at random and never called, texted or emailed, and lift is everyone else's conversion rate minus the holdout's. Without a holdout, lift is estimated store by store against enrolled shoppers the flow never reached, counting only shoppers who had not bought by the store's median first-call time. It is labelled an estimate, and a holdout replaces it.
    • Calls and texts. Each sale is credited within 5 days to its last touch: an answered call wins; otherwise a text (sent, or its link clicked) wins. SMS click rate counts human clicks, with link previews and bots removed. The attribution model and window are printed with every issue, so a later change never rewrites history.
    • Time to first call. Counts only minutes inside calling hours (8 am to 9 pm in the shopper's time zone, or a state's tighter window). After-hours checkouts are reported on their own.
    • Answered and location. Answered means a person picked up; voicemail and call screening do not count. US state comes from the area code; other countries from the country code.
    • Intervals and small cells. Rates carry 95% Wilson intervals. Any cell under 200 calls or shoppers is greyed out instead of shown.
    • Revenue. Order values are converted to US dollars at fixed monthly rates.
    • Lift this month is an estimate: contacted shoppers against 3,044 enrolled shoppers the flows never reached, store by store in 4 stores. It is not a randomized holdout.
    • Incremental revenue this issue: 440 extra orders across 11,666 contacted shoppers in the measured stores, at $169.62 per order, for $75K (95% CI $56K to $93K). Lift, incremental revenue and revenue per shopper are totals: each store's own lift times its own shoppers, summed.
    • Shoppers contacted counts everyone reached by a call or a text: 13,639 this month, 12,647 of them called.
    • September's lift and incremental revenue were published before this calculation was refined, so compare those two figures across issues with care.
    Metric dictionary
    MetricWhat it meansFormula
    Shoppers contactedEligible shoppers outside any holdout, reached by at least one call or textcount
    Store-weighted rateA rate where no store counts for more than 15% of the figure, so one large store cannot set the benchmark; shown next to the pooled rate across all shopperscapped weighted mean of store rates
    Calls placedEvery dial attempt, including second callscount
    Answer rateShoppers where a person picked up at least onceanswered / contacted
    Answer rate per callThe same, per call placed; used for timing, states and caller IDanswered calls / calls placed
    Call conversionSales credited to a call, over shoppers who picked upcall-credited / answered
    SMS click rateTexted shoppers who opened the linkclicked / texted
    SMS conversionSales credited to a text, over shoppers textedtext-credited / texted
    Contacted conversionShoppers reached who hit the goal within 5 days of first contact, any channel; descriptive, not the liftconverted / contacted
    LiftConversions the calls and texts caused, in pointsreached rate minus holdout or comparison rate
    Incremental revenueExtra conversions implied by the lift, valued at the average converted orderextra conversions x AOV
    Average order valueValue of converted orders, add-ons or saved chargesrevenue / conversions
    Time to first callCalling-hours minutes from the trigger to the first ringmedian
    Opt-out rateAnswered shoppers who asked not to be called againopt-outs / answered
    Reason givenThe main reason the shopper gave, from a fixed tag list per use casetag / conversations with a reason
    Breakdowns we publish
    CutBucketsHow often
    Use caseThe five use casesMonthly
    Time to first callCalling-hours minutes 0 to 5, 5 to 15, 15 to 60, 1 to 4 h, after hours on its ownMonthly
    Hour and weekday8 am to 9 pm local, Monday to SundayMonthly
    LocationUS state by area code, other countries by country codeMonthly, states with 200+ calls
    Number typeSuper Number, dedicated, branded dedicatedMonthly
    Cart valueUnder $50, $50 to $100, $100 to $250, $250 to $500, $500+Monthly
    Discount levelNone, 5%, 10%, 15%, 20%Monthly once each level has 200+
    VerticalSeven groupsMonthly once every cell has 200+
    PlatformShopify, WooCommerce, SHOPLINE, Magento, BigCommerce, customQuarterly
    Shopper typeNew or returningQuarterly
    Publishing rules
    • 200 or more calls or shoppers behind every published cell; smaller cells show grey.
    • Stores count after 30 days live and 300 contacts in the month; no store is more than 15% of a figure.
    • Every rate ships with its n and 95% interval in the CSV.
    • Test calls, internal numbers and duplicate triggers are removed before counting.
    • Holdout and comparison groups are checked for balance before publishing.
    • No store names without written permission; call quotes are anonymized.
    • Numbers are final at publish; corrections go in the dated changelog below.

    How to cite

    Free to quote and reuse with attribution under CC BY 4.0.

    Loop Voice Ecommerce Benchmark, October 2026. Loop Voice. loopvoice.ai/benchmarks/2026-10
    Download CSVDownload JSON

    Changelog

    • November 9, 2026Issue 2 published.
    Previous issue · Issue 1September 2026
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