Skip to main content

    Nonprofits & Associations · capability model · acquisition economics

    Capability ModelA modelled capability, not a client account. Figures illustrate what the model produces and are labelled as modelled wherever they appear.

    Display costs $86 to acquire an email address and returns $1.11 — the published ad table is a ranking, not a menu

    Nonprofit digital advertising has published costs and returns per channel that differ by more than an order of magnitude: $2.81 per email address acquired overall against $86 on display, and $2.48 back per dollar on search against $0.17 on Google Grants. The model reads that table as an order of operations.

    $2.81

    Meta $3.64, display $86

    Cost per email address acquired, all channels

    Modelled figure — not a client result

    $2.48

    multi-channel $1.82, display $1.11, Google Grants $0.17

    Return on ad spend, search

    Modelled figure — not a client result

    $54

    up 4%

    Revenue per 1,000 fundraising emails delivered

    Modelled figure — not a client result

    11%

    at 50 messages per subscriber per year

    Email as a share of online revenue

    Modelled figure — not a client result

    $0.10 per $1 of online revenue

    Digital advertising reinvestment

    Modelled figure — not a client result

    Modelled. Inputs: M+R, Benchmarks 2026 (2025 data). Modelled outputs are not a forecast or a guarantee of results. Cited: M+R *Benchmarks 2026* (200+ nonprofits).

    At a glance

    The engagement in brief

    Services

    • Paid Search
    • Paid Social
    • Email Marketing
    • Landing Pages
    • CRO
    • Content
    • Reporting

    Stack

    • Google Ads
    • Google Ad Grants
    • Meta Ads
    • Email platform
    • Landing pages
    • Reporting

    The situation

    What we walked into

    Nonprofit digital advertising is usually planned as a mix, with each channel given a share of a budget that was set as a round number. The published data does not describe a mix. It describes a ranking with gaps in it large enough to make the mixing decision almost irrelevant. Acquiring an email address costs $2.81 on average, $3.64 on Meta and $86 on display — a thirty-fold spread inside one table. Return on ad spend runs $2.48 on search, $1.82 multi-channel, $1.11 on display and $0.17 on Google Grants. Against that, the sector reinvests ten cents in digital advertising for every dollar of online revenue, so most organisations are spending little enough that spreading it across four channels guarantees none of them reaches a size where it can be judged.

    An email address costs $2.81 on average and $86 on display. That is not a channel preference, it is two different activities sharing a row in the same table.

    What we found

    The diagnosis

    1. 01

      The spread inside the table is wider than any optimisation you could run inside a channel

      Cutting display's $86 acquisition cost by a third still leaves it twenty times the average. When the differences between options are that large, sequencing beats tuning: fund the top of the ranking to a size where it can be measured before funding anything below it.

    2. 02

      Google Grants returning $0.17 per dollar is not a failure, it is a category error

      The Grant is free inventory with restrictions attached, and measuring it on return on ad spend compares it to money the organisation actually spent. It earns its place as a discovery and advocacy channel with its own success measure, and it should never be averaged into a paid return figure that then guides a real budget decision.

    3. 03

      Email carries 11% of online revenue and is the destination the ads are buying

      Revenue per thousand fundraising emails is $54, revenue per subscriber is $2.40 a year, and email is 11% of online revenue at fifty messages per subscriber per year. Acquisition advertising in this sector is mostly list building, so its return lands in the email programme rather than in the campaign it was attributed to. An organisation judging acquisition ads on immediate gifts will switch off the thing feeding the channel that does the work.

    4. 04

      Advocacy draws four times the click-through of fundraising and is the cheapest front door

      Advocacy email runs 2.3% click-through and a 1.4% response rate against 0.59% and 0.05% on fundraising email, with 0.34% of advocacy actions going on to a donation. As an acquisition route that is strong and slow, and it has to be measured as a two-step path or it will look like it does not work.

    5. 05

      At ten cents reinvested per revenue dollar, the constraint is minimum viable channel size

      A programme spending at the sector reinvestment rate cannot fund four channels to a level where any of them produces a readable result. The model sets a minimum spend per channel below which the channel is not run at all, rather than trimmed.

    The number behind it

    What this is built around

    Cost per email acquired: **$2.81** overall, **$86** on display · return per $1: **$2.48** on search, **$0.17** on Google Grants.

    What we built

    The system

    The model funds the ranking in order instead of allocating a share to each channel. Phase one sets one definition of an acquired email address and one attribution window, then measures the organisation's existing channels against it — including the Grant, reported on its own terms rather than as paid media. Phase two funds search and the best-performing acquisition channel to a minimum viable size, defined in advance as the spend below which a result cannot be read, and pauses anything that cannot be funded to that level. Phase three connects acquisition to the email programme so the return is measured where it lands: revenue per subscriber over twelve months, rather than gifts attributed to the ad that acquired them. Advocacy runs as a deliberate two-step entry path with its own reporting.

    Display costs $86 to acquire an email address and returns $1.11 — the published ad table is a ranking, not a menu — funnelA funnel of 8 stages, narrowing from "Budget at the reinvestment rate" to "Grant reported separately".Budget at the reinvestment rateMinimum viable channel sizeSearch funded firstSecond channel fundedEmail address acquiredWelcome and first askRevenue per subscriber over 12 monthsGrant reported separately

    The sequence

    How it was delivered

    1. Week 1

      Definitions and attribution window

      One definition of an acquired address, one window, applied to every channel

      Owner: OmniFlow + organisation

    2. Weeks 1–4

      Channel baseline

      Existing channels measured against the definition; the Grant reported separately

      Owner: OmniFlow

    3. Week 4

      Minimum viable size

      A written floor per channel; channels below it are paused rather than trimmed

      Owner: OmniFlow + organisation

    4. Weeks 5–20

      Fund in ranking order

      Search first, then the next channel that clears the floor

      Owner: OmniFlow

    5. Weeks 8–24

      Connect to the email programme

      Acquisition cohorts tracked through to revenue per subscriber over twelve months

      Owner: OmniFlow

    6. Month 12

      Review

      Cost per acquired address and twelve-month revenue per subscriber, by channel

      Owner: OmniFlow + organisation

    Outcome

    What the model produces

    The model reports cost per acquired email address by channel and twelve-month revenue per subscriber by acquisition cohort, and it reports the Google Grant separately with its own measure. It does not report a blended return on ad spend, because blending free inventory with paid inventory produces a number that cannot guide a decision. Channels that cannot be funded above the written floor are named in the report as paused rather than quietly underfunded. Published figures are replaced by the organisation's own from quarter two. Modelled outputs are not a forecast or a guarantee of results.

    Modelled. Inputs: M+R, Benchmarks 2026 (2025 data). Modelled outputs are not a forecast or a guarantee of results. Cited: M+R *Benchmarks 2026* (200+ nonprofits).

    Inputs

    What the model is built on

    Every figure below is published research, not a client result. They are the inputs to the arithmetic above, listed so it can be checked rather than taken on trust. The bracketed number points to the full citation at the end of this page.

    $2.81

    [1]

    Cost per email address acquired, all channels

    2025 data

    $2.48

    [1]

    Return on ad spend, search

    2025 data

    $54

    [1]

    Revenue per 1,000 fundraising emails delivered

    2025 data

    11%

    [1]

    Email as a share of online revenue

    2025 data

    $0.10 per $1 of online revenue

    [1]

    Digital advertising reinvestment

    2025 data

    The published figures, side by side

    Rates share a 0–100% scale. Costs and counts are scaled against the largest value shown.

    • Cost per email address acquired, all channels[1]$2.81

      2025 data

    • Return on ad spend, search[1]$2.48

      2025 data

    • Revenue per 1,000 fundraising emails delivered[1]$54

      2025 data

    • Email as a share of online revenue[1]11%

      2025 data

    • Digital advertising reinvestment[1]$0.10 per $1 of online revenue

      2025 data

    Run the model on your own numbers

    Change the volume and the target rate. Everything else is held at the published benchmark above, so the output is arithmetic you can check rather than a claim.

    Reporting

    What you would actually see

    These are the surfaces this engagement is run and measured from, shown with representative figures built around the benchmarks cited on this page. Every account we run reports into views like these, and you keep ownership of all of them.

    These are demo dashboards. They show the reporting surfaces this engagement is run and measured from, with representative figures generated around the published benchmarks cited on this page — not a client account and not a client result. Live reporting for your own account replaces every number here.

    Google Analytics 4

    Nonprofits & Associations · all web data

    Demo
    Acquisition overview
    Last 12 months vs. preceding period

    Sessions

    3,560

    +71.7%

    Key events

    118

    +89.6%

    Session key event rate

    3.3%

    +0.9%

    Engagement rate

    53.1%

    +3.7%

    Sessions by month

    AprJunAugOctDecFeb

    Dashed line marks the month the engagement started.

    Session default channel groupSessionsKey eventsRate
    Organic Search1,446644.4%
    Paid Search784273.4%
    Direct557183.2%
    Referral439143.2%
    Organic Social334123.6%

    LinkedIn Campaign Manager

    Sponsored Content · Nonprofits & Associations audience

    Demo
    Campaign performance
    Last 12 months

    Impressions

    68,339

    +39.7%

    Clicks

    441

    +43.7%

    CTR

    0.6%

    +0.06%

    Cost per lead

    $191.40

    -15.1%

    Impressions by month

    AprJunAugOctDecFeb

    Dashed line marks the month the engagement started.

    CampaignImpr.ClicksLeadsCPL
    Thought leadership — practice leads23,23515012$191.40
    Problem-aware — retargeting17,7681159$191.40
    Case study download15,035977$191.40
    Webinar registration12,301796$191.40

    CRM pipeline

    Nonprofits & Associations · inbound and outbound

    Demo
    Pipeline by source
    Last 12 months

    Leads created

    68

    +72.5%

    Qualified

    31

    +83.4%

    Meetings booked

    18

    +87.0%

    Answered on first attempt

    66.4%

    +12.3%

    Leads created by month

    AprJunAugOctDecFeb

    Dashed line marks the month the engagement started.

    First-touch sourceLeadsQualifiedMeetings
    Google Ads — high intent21105
    Organic search1884
    Business Profile — call1363
    LinkedIn outbound1052
    Referral631

    Method

    How this is measured

    Each figure on this page, the system it is read from, and the definition and window it is measured over.

    Every figure on this page, the system it is read from, and how it is defined
    FigureRead fromHow it is definedStatus
    Cost per email address acquired, all channelspublished benchmark2025 dataPublished
    Return on ad spend, searchpublished benchmark2025 dataPublished
    Revenue per 1,000 fundraising emails deliveredpublished benchmark2025 dataPublished
    Email as a share of online revenuepublished benchmark2025 dataPublished
    Digital advertising reinvestmentpublished benchmark2025 dataPublished

    Honestly

    What we would do differently

    Not applicable — this is a modelled engagement. Its weakest input is that the published advertising figures are dominated by large national organisations with brand recognition a local or regional organisation does not have, and display in particular is often bought by those organisations for reach rather than for list building, which is part of why its acquisition cost looks the way it does. The model uses the ranking to set an order of operations, not to predict what any individual organisation pays.

    Evidence base

    1 sources, 1 publishers

    Full citations for everything cited on this page, with the sample and period each study covers, so you can go and read the original.

    Published research

    1. [1]

      M+R, Benchmarks 2026

      2025 data

      Supports: Cost per email address acquired, all channels · Return on ad spend, search · Revenue per 1,000 fundraising emails delivered · Email as a share of online revenue · Digital advertising reinvestment

    Next

    Start the same conversation

    Start the same conversation

    Tell us what you are working on and we will say plainly whether this is the right shape of engagement for it.

    We use your details only to respond to this request. No lists, no resale.