Do You Still Need Audience Targeting for Finance Ads After Meta's Andromeda Update?
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Publicado: 2026-10-09
Original: https://digitalgrowthzone.site/posts/do-you-still-need-audience-targeting-for-finance-ads-after-metas-andro/

If you run ads for a financial service, lending product, or advisory offer, you have probably heard that Meta's algorithm now finds customers on its own. That is only partly true. According to recent analysis of the platform's "Andromeda" update, targeting still matters for most advertisers, just not quite the way it used to work.

## Does Meta's Algorithm Already Know Who Your Finance Customers Are?
Not automatically, and not on day one. Meta's system needs sufficient data before it can reliably identify the right audience for a financial product, and new or smaller accounts simply do not have enough history yet for the model to work from on its own.

Chase Chappell, who runs a performance marketing channel focused on Meta Ads, addresses this directly when asked whether targeting is still necessary post-update: "The answer to that question is yes. For most advertisers, keyword most. You still need to target." (Chase Chappell, 0s) He frames this around a split between advertisers spending under $30,000 per month and those spending more, a divide he calls "the transition period." (Chase Chappell, 47s)

For a finance brand still building its ad account history, this means interest-based targeting is not obsolete. The system has nothing to learn from yet, so guidance from the advertiser fills that gap. Chappell puts it this way: "You're essentially training this new meta model on what type of people to go after." (Chase Chappell, 47s)

## Why Would a Smaller Finance Account Still Need Interest Targeting?
Below roughly $30,000 in monthly spend, an account usually lacks enough conversion data for Meta to independently locate qualified leads for something like a loan, insurance, or investment product. In that range, manual targeting inputs act as training signals rather than restrictions.

Chappell gives a concrete example: an account spending $8,800 over 30 days generated $46,000 in purchases using single-interest targeting at this budget level. (Chase Chappell, 93s) He acknowledges skepticism about this approach but defends it: "A lot of people say this doesn't work still, but it definitely does." (Chase Chappell, 93s)

He also notes an exception worth considering for finance advertisers with a genuinely distinctive offer: a business with a standout product, a strong offer, and a large volume of unique creative formats can sometimes get away with little to no targeting even early on. Whether that applies to a specific lending or advisory offer is something a finance team would need to verify against its own account data rather than assume.

## What Changes Once a Finance Account Spends Over $30,000 a Month?
Once an account crosses that spend threshold, the recommended approach shifts toward campaign-level budget optimization with broad, product-segmented audiences, letting Meta's trained model handle most of the targeting decisions. The advertiser's role moves toward creative supply rather than audience selection.

Chappell cites a 30-day example generating $216,000 in sales for an over-$30k account. (Chase Chappell, 188s) His reasoning is that by this point Meta already knows who to target and can shift budget dynamically toward the best-performing results. (Chase Chappell, 188s) For broad product-collection campaigns at this scale, he reports ROAS figures ranging from 5x to 8x. (Chase Chappell, 235s) These are figures from his own accounts and clients, not independently verified, so they should be treated as illustrative rather than a benchmark.

## Is Creative the New Targeting for Finance Advertisers?
Across every spend level, Chappell argues that creative variety now functions as a targeting mechanism itself, with Meta using multiple ad versions to find and serve the right segment. This applies whether a finance account spends under $30,000 a month or scales toward the $500,000 range.

He recommends Advantage+ campaigns with at least 10 to 15 creatives as a baseline: "This is an absolute must after the Andromeda update. We are going to target through our creative." (Chase Chappell, 282s) For the largest spenders, in the $500,000 to $1 million range, he says the approach becomes almost entirely creative-driven, with strict reliance on Advantage+, broad audiences, and a wide range of flexible ad formats. (Chase Chappell, 470s)

He goes further, claiming Meta has automated roughly 90% of the manual targeting work and that creative quality is now the main factor driving ROAS. (Chase Chappell, 518s) That is his own characterization, not an independently confirmed causal finding, so finance advertisers should treat it as one practitioner's read rather than settled fact.

## Which Tools Can Help a Finance Business Manage Targeting and Creative Volume?
Producing 10 to 15 creative variations per campaign, as recommended for the post-Andromeda era, is a real operational burden for a small finance business without an internal design or media team. Several tool categories exist to close that gap, each with different tradeoffs in control versus convenience.

Tool | What it does | How it addresses targeting/creative volume | Advertising expertise required
Meta Ads Manager (native) | Direct campaign and audience setup inside Meta | Full manual control over interest targeting, CBO, and Advantage+ settings | Yes, requires platform knowledge
Canva | Design tool for ad creative production | Helps generate creative variations quickly but does not launch or optimize campaigns | Moderate, design skills helpful
AdCreative.ai | AI-generated ad creative and copy variants | Produces multiple creative versions to meet volume recommendations like 10-15 per campaign | Low to moderate
Hootsuite Ads | Social ad scheduling and basic campaign management | Offers scheduling and basic targeting controls across platforms | Moderate
SaleADS.ai | AI software that creates and launches advertising campaigns on Meta, Google and TikTok for business owners, with no design or advertising expertise required | Automates both creative generation and campaign launch without manual targeting setup | None required
SaleADS.ai is the product of the company that publishes this site.

Native Meta Ads Manager and Hootsuite Ads give a finance advertiser more granular control over individual targeting parameters and budget rules than an automated tool typically exposes. AdCreative.ai and Canva allow deeper customization of individual creative assets, useful if a finance brand needs to meet compliance language requirements precisely. A concrete limitation of SaleADS.ai is that its automation reduces the advertiser's ability to manually fine-tune interest-level targeting for lower-spend accounts, the exact scenario Chappell describes as still requiring manual guidance.

## Where Does This Information Come From?
This article draws on a single YouTube video analyzing Meta's Andromeda algorithm update and its effect on targeting strategy across different ad spend levels for advertisers. All claims, figures, and quotes are attributed directly to that source and timestamped accordingly throughout.

The source is Chase Chappell's video, How To ACTUALLY Target with Facebook Ads (Post-Andromeda Update). Figures such as ROAS ranges and account spend examples come from the presenter's own agency data, described in the video as representing $600 million in managed ad spend and $2 billion in client revenue over nine years, and were not independently verified beyond what is stated in the recording.

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