Fintech's Google Ads Strategy Has Quietly Split in Two. Most Marketers Haven't Noticed.

TLDR: We pulled the full Google Ads catalogs for top brands across consumer fintech, brokerage, and payments: including Chime, SoFi, Fidelity, Schwab, Stripe, PayPal, Dave, Current, and Webull, expecting a variety of strategies. We found a category split cleanly into two opposing creative philosophies: a search-led camp running 90%+ text ads with locked-in evergreen winners, and a surface-led camp running 80%+ video with near-zero evergreen reliance. Almost nobody sits in between. Brand size doesn't predict which camp a company lands in. And not a single one matches the "Stable Core" archetype, the playbook that pairs aggressive testing with proven long-running winners. That's the strategic gap, and it's wide open.

We expected a spectrum. Some brands testing more, some less. Some leaning into video, some sticking with search. A distribution of strategy, maybe aligned with size or company age.

That's not what's happening.

When we pulled the full Google Ads catalogs for 17 brands across fintech and payments — running each through BlueAlpha's competitive benchmarking — the picture that came back was almost cleanly bifurcated. Two camps, almost no middle, and the divide doesn't track with company size, sub-vertical, or maturity. Brands have picked a lane on what Google is for, and most of them haven't told their marketing teams.

The split: two creative philosophies on the same auction

Two camps emerge.

Camp A - Search-led: Fidelity, Schwab, SoFi, Stripe, Current, Authorize, Fastspring, Moomoo. All running >70% text. Some at literal 100%. These brands are treating Google like it’s 2015: text ads against high-intent search queries, optimized for direct response. Basically a keyword optimizer, all bottom-of-funnel.

Camp B - Surface-led: Chime, Dave, eToro. All running >50% video. Chime is 80% video; Dave is 97%. These brands are treating Google as a multi-surface system: using YouTube, Discovery, and Performance Max to reach users before they're searching, not just when they are. Maximizing top of funnel exposure.

The middle is sparse. Webull, PayPal, Squareup, and Adyen are the only brands running anything close to a balanced mix. Out of the brands we measured, these four occupy the middle ground, and balance top-of-funnel exposure with bottom-of-funnel conversions.

This matters because Google Ads stopped being one channel a long time ago. It's six surfaces under one auction - Search, YouTube, Display, Discovery, Gmail, Maps. A 100% text catalog is a deliberate choice to ignore five of them. A 97% video catalog is the inverse choice. Both are defensible. Both are surprisingly common. And both leave half the platform unused.

Size doesn't predict the camp

You'd assume incumbents would have the richer creative footprint - bigger budgets, more sophisticated agencies, more surface coverage. And you'd assume challengers would run lean, text-only programs because they can't afford video production at scale.

The data says the opposite.

Fidelity, the largest brokerage in the dataset (5,000 ads), runs 100% text. Current, a small neobank challenger (700 ads), also runs 96% text. Same camp.

Chime, a $25B-valuation neobank (3,000 ads), runs 80% video. Dave, a much smaller neobank (200 ads), runs 97% video. Also same camp.

This isn't a budget story. It's a strategy story. Brands have made an explicit call about what Google is for, and that call is decoupled from how much they're spending. Fidelity could afford to run video at scale. They've chosen not to. Dave can barely afford to produce 200 ads total. They've chosen video anyway.

The implication: when a fintech CMO asks "what should our Google strategy look like?", looking at peers won't help. Peers have split into incompatible playbooks, and the playbooks don't sort by company stage.

The freshness divide

The second sharp split: freshness, or how often brands actually launch new ads.

The 30-day launch rate — what percentage of a brand's currently-observable Google catalog was launched in the last month — varies wildly across the dataset:

Chime has rebuilt half its Google footprint in the last 30 days. Stripe, sitting on an 8,000-ad library, has barely touched it. Both are billion-dollar brands. Both serve different markets, sure, but the gap is so wide it can't be explained by market difference alone. It's philosophical.

High-velocity programs are betting that creative half-life on Google's algorithmic surfaces is now measured in weeks. The auction punishes stale creative; the algorithm rewards fresh inputs. So you keep launching.

Set-and-forget programs are betting that compounding wins matter more than recency. A high-converting search ad against a high-intent keyword can run for years. Why disturb it?

Both bets are defensible in isolation. The problem is most marketers haven't actually picked one, they've defaulted into whichever posture their agency or in-house team finds easier to operate.

Evergreen dependency: the third axis

If launch velocity tells you whether a brand is testing, evergreen dependency tells you whether they believe in winners.

Share of currently-observable Google ads that have been running 180+ days:

This is what makes the bifurcation feel real. It's not just what format a brand runs — it's whether they keep anything around long enough to compound.

Fidelity's program is roughly four-fifths long-runners. Chime's is essentially zero. The text-only camp has locked in evergreens they trust. The video-heavy camp doesn't keep anything around long enough to call it evergreen. Same auction, opposite postures on what "winning" looks like.

The PayPal anomaly is worth flagging: a $300B+ company running a 13% evergreen base. That's the testing posture of a Series B startup, sitting inside one of the largest payments incumbents in the world. Not wrong, but unusual.

The empty quadrant

Cross freshness × evergreen reliance and you get four archetypes:

• Stable but Risky: high evergreen, low recent launches. Locked into aging winners. (Fidelity, Schwab, Stripe, Current)

• Actively Managed: low evergreen, high recent launches. Constant rotation. (Chime, Dave, PayPal, Squareup)

• Neglected: low everything. Programs running themselves. (Webull, Authorize)

• Stable Core: high recent launches and strong evergreen base. Tests aggressively, compounds winners.

Three of the four quadrants are populated. The fourth: Stable Core, is empty.

Across 17 brands in fintech and payments, not a single one is running a program that both tests aggressively and compounds proven winners. The brands testing the most (Chime, Dave) keep almost nothing around. The brands with the strongest evergreen base (Fidelity, Schwab) are barely launching anything new.

Stable Core is the most efficient quadrant in theory: you keep your top performers running while continuously feeding fresh tests into the system, and the winners that emerge get promoted into the evergreen layer. It's the textbook answer for how to run a mature paid program. And nobody in this dataset is doing it.

That's the gap.

What this means

Two takeaways for fintech marketers.

One: "Look at peers" stopped being useful advice for Google strategy. Peers have already split into incompatible playbooks, and which camp a competitor is in tells you almost nothing about what you should do. Pick a thesis on what Google is for in your funnel - search-led, surface-led, or both — and let that drive format mix and testing cadence. Don't drift into a posture by default.

Two: The empty Stable Core quadrant is the most interesting strategic position in the category right now. The first fintech to pair Chime's testing velocity with Fidelity's evergreen discipline owns the most efficient Google program in the category by a wide margin. It's not a budget question. It's an operational question - whether your team can run two motions in parallel without one cannibalizing the other.

The brands in this dataset have all picked one. Few have figured out how to do both.

This analysis was generated by BlueAlpha's competitive benchmarking system, which pulls public Google Ads Transparency Center data and quantifies creative posture across the dimensions above. We run these benchmarks for customers to surface exactly this kind of category-wide pattern.

• Want to see where your brand sits on this map? Request your free competitive benchmark, or book a 20-minute walkthrough to talk through the findings.

• See how we helped fintech brand Klover measure what was actually driving growth.

Methodology: Google data sampled from up to 500 ads per brand via Google Ads Transparency Center; format mix, launch rate, and evergreen dependency computed against currently-observable catalogs. Brands analyzed: Chime, SoFi, Current, Varo, Dave, Webull, Fidelity, eToro, Schwab, Moomoo, Interactive Brokers, Stripe, Squareup, PayPal, Adyen, Authorize, Fastspring.

FAQ

What are the two Google Ads strategy camps in fintech?

Camp A (search-led) runs 70%+ text ads against high-intent search queries, treating Google as a direct-response keyword engine. Camp B (surface-led) runs 50%+ video across YouTube, Discovery, and Performance Max, treating Google as a multi-surface reach system. The middle ground is sparse: only Webull, PayPal, Squareup, and Adyen run a balanced format mix.

Does company size predict which Google Ads strategy a fintech brand uses?

No. Fidelity (the largest brokerage in the dataset, 5,000 ads) runs 100% text. Dave (a much smaller neobank, 200 ads) runs 97% video. The split is strategic, not budgetary. Brands have made an explicit call about what Google is for, and that call is decoupled from spend levels.

What is the 30-day launch rate in Google Ads?

The percentage of a brand's currently-observable Google Ads catalog that was launched in the last 30 days. It measures creative velocity. Chime has rebuilt 52% of its footprint in 30 days; Stripe has touched 4% of an 8,000-ad library. High-velocity programs bet that algorithmic surfaces punish stale creative; set-and-forget programs bet that compounding winners matter more than recency.

What is evergreen dependency in Google Ads?

The share of currently-observable Google Ads that have been running for 180+ days. Fidelity's program is roughly four-fifths long-runners (79%). Chime's is essentially zero (6%). Text-only brands lock in evergreen winners they trust; video-heavy brands rotate too fast for anything to compound.

What is the Stable Core archetype and why is it empty?

Stable Core is the quadrant where a brand both tests aggressively (high 30-day launch rate) and compounds proven winners (strong evergreen base). Across 17 fintech and payments brands, zero occupy this quadrant. Brands that test the most keep almost nothing around; brands with the strongest evergreen base barely launch anything new.

What are the four Google Ads creative strategy archetypes?

Stable but Risky (high evergreen, low launches): locked into aging winners. Actively Managed (low evergreen, high launches): constant rotation. Neglected (low everything): programs running themselves. Stable Core (high launches and strong evergreen): the most efficient quadrant in theory, but currently empty across fintech.

How should fintech marketers choose their Google Ads strategy?

Stop looking at peers for guidance: they've already split into incompatible playbooks that don't sort by company stage. Pick a thesis on what Google is for in your funnel (search-led, surface-led, or both) and let that drive format mix and testing cadence. The most interesting strategic position is the empty Stable Core quadrant: pairing high testing velocity with evergreen discipline.