Media BuyingNew Account

Data as of Aug 20, 5:45 AM

Aug 20 – Aug 20, 2026vsAug 19 – Aug 19, 2026

Alerts5

Criticalzero_revenue_spend

Campaign 120250685280400286 spent $1,009.64 with no attributed revenue and no resolving clicks at all -- check the tracking template before pausing, since untracked traffic looks identical to dead traffic.

Criticalbuyer_zero_return

Datalot received 464 posted leads this week and returned no sales. Verify whether these genuinely did not sell or whether the sales are not being attributed back through Everflow adv1 -- the two look identical here.

Criticalbuyer_zero_return

Datalot received 426 posted leads this week and returned no sales. Verify whether these genuinely did not sell or whether the sales are not being attributed back through Everflow adv1 -- the two look identical here.

Criticalzero_revenue_spend

Campaign 120250685280400286 spent $1,018.80 with no attributed revenue and no resolving clicks at all -- check the tracking template before pausing, since untracked traffic looks identical to dead traffic.

Data checkclaude_daily_briefing

Start with tracking, not with pausing. Campaign 120250685280400286 burned $1,009.64 over Aug 13-19 with zero clicks resolving and zero attributed revenue, and 120251020874670286 did the same on $144.69. Zero resolving clicks is the tell: genuinely dead traffic still produces clicks that land, so this pattern points at a broken tracking template or a redirect that drops the click ID more than it points at worthless traffic. Pull the live ad URL for the larger campaign, fire it yourself, and confirm whether the click registers in Everflow. If it does register, the spend is real waste and the pause is justified today. If it does not, pausing throws away traffic you simply cannot see. The same ambiguity is sitting on the buyer side and it is larger. Datalot took 464 posted leads this week and returned nothing; DMS took 138 and Rocket Quote 90, also nothing. Three buyers returning exactly zero in the same week is a suspicious coincidence — a genuine sales drought is usually noisy, not clean. Check the Everflow adv1 postback for those three advertisers against the buyers' own portal or delivery reports. If their reports show sales you are not seeing, your true ROAS is better than the 0.392 on the board and every downstream efficiency comparison is understated. If their reports agree with yours, renegotiate or stop posting to them rather than treating them as revenue-neutral volume. What is working: New Account is running 0.53x on $6,091.27 against Old Account's 0.24x on $5,588.37 — roughly half your spend sitting in the weaker of the two. That gap is the clearest available gain, but apply the same caution, because degraded attribution on the older account would look identical to worse traffic; confirm the tracking templates match across accounts before shifting budget. On targeting, the 45-54 age bracket returned $7.33 per lead against $5.68 overall and sold at 25.4% versus 15.9% across 122 leads — worth weighting toward. And three buyers grew: Arity to $703.33 from $4.07, QuinStreet to $126.76 from $31.98, Everquote to $118.28 from $70.31. Arity is the one to interrogate, since it is a meaningful sum rather than a rounding change. Concentration remains the structural risk: QuoteWizard is 68.4% of revenue at $3,347.94. Any softness there moves the whole business. Growing Arity is the most credible path to diluting that, so find out what changed there before it reverts on its own. One housekeeping note — the concentration rule was computed against a revenue base of $4,892.49 while the period total reads $4,576.88; worth reconciling which cut is authoritative before either figure gets quoted outside the dashboard.

Revenue

Total revenue

$502.18

↓55.1%vs prior 1d

Lead sale revenue

$32.54

↓59.3%vs prior 1d

Click feed revenue

$469.64

↓54.8%vs prior 1d

Call revenue

$0.00

Not yet reconciled — Ringba revenue exists but has no call_payout events.

Spend

—

No spend ingestion for this scope — cost is unknown, not zero.

Funnel

Clicks

276

↓65.0%vs prior 1d

Leads

↓41.4%vs prior 1d

Conversion rate

27.2%

↑67.3%vs prior 1d

Leads sold

↓45.5%vs prior 1d

Sold rate

16.0%

↓6.9%vs prior 1d

Efficiency

CPL

—

No spend ingestion for this scope — cost is unknown, not zero.

Avg RPL

$2.71

↓25.3%vs prior 1d

Avg click feed rev

$6.52

↑3.7%vs prior 1d

Blended ROAS

—

No spend ingestion for this scope — cost is unknown, not zero.

Margin

—

No spend ingestion for this scope — cost is unknown, not zero.

CurrentPrior period

Campaigns

Spend	Clicks	Leads	Sold	CPL	RPL	Revenue	ROAS
—	267	75	12	—	$2.71	$502.18	—
—	116	39	9	—	$2.76	$296.34	—
—	148	36	3	—	$2.56	$205.84	—
—	3	0	0	—	—	$0.00	—

Only $0.00 of spend in this period — too little to judge campaign performance.

Accounts, campaigns and ads with no activity in the period are omitted entirely. Totals here are lower than the cards above: only clicks that resolve to an ad can be attributed to a campaign. feeds and lead buyers open the demand side of any row — account, campaign or ad. Feeds show which feed at which tier bought the clicks; lead buyers show who bought the leads. They are separate controls because they are separate businesses: one pays per click into an auction, the other per lead accepted, and a row only offers the sides it actually earned from. Each side ends in its own subtotal, and the two together always sum to that row’s revenue, at every level. Clicks there counts only the clicks a feed paid for, a fraction of the clicks the ad produced; Sold counts sales that produced a payout, so it can sit a lead or two below the parent, which counts leads marked sold whether or not the payout has landed; and RPL is revenue per unit of that row — per paid click for a feed, per lead sold for a buyer.

Click feedsNew Account only

Avg bid	Bids	Clicks	Revenue	RPU
$2.75 ↓3.6%	335 ↓40.4%	38 ↓69.8%	$250.67 ↓67.2%	$6.60 ↑8.6%
$3.96 ↑5.8%	213 ↓12.3%	24 ↑60.0%	$170.36 ↑61.5%	$7.10 ↑0.9%
$2.45 ↑4.4%	180 ↓48.9%	5 ↓78.3%	$29.99 ↓75.9%	$6.00 ↑10.7%
$2.18 ↓12.3%	187 ↓38.1%	6 ↓50.0%	$18.62 ↓56.5%	$3.10 ↓13.1%

Nothing stands out in this period — no segment is far enough from the average to act on.

Each figure shows its change against the same figure last period, so a feed paying less per click reads differently from one being sent fewer clicks — revenue alone moves the same either way. Avg bid averages every bid into the feed, winning or not: market context, not earnings. RPU is what a click actually paid. Expanding a feed shows its own tiers — QuoteWizard’s Platinum and Diamond, SwitchBoard’s Email and SEM, numeric ids for Arity and QuinStreet. Those come straight from the payout and so, unlike the campaign view, need no attribution and add up exactly; bids are not tiered and stay blank there. Tier names are each feed’s own and are not comparable between feeds. For which campaigns and ads earned this, open sources on a campaign in the Campaigns section. A blank change means no activity at all last period, which is not the same as a fall from zero.

Lead buyersNew Account only

Avg bid	Bids	Sent	Sold	Accept	Revenue	RPU
$3.35 ↓10.5%	69 ↓37.8%	11 ↓74.4%	2 ↓66.7%	18.2% ↑30.3%	$13.80 ↓61.4%	$6.90 ↑15.9%
$2.60 ↓28.2%	69 ↓38.4%	40 ↓47.4%	4 ↓50.0%	10.0% ↓5.0%	$10.49 ↓68.7%	$2.62 ↓37.3%
$0.63 ↑0.8%	68 ↓38.7%	18 ↓5.3%	4 ↑300.0%	22.2% ↑322.2%	$6.25 ↑298.1%	$1.56 no change
$1.00 no change	69 ↓38.4%	26 ↓43.5%	2 ↓60.0%	7.7% ↓29.2%	$2.00 ↓60.0%	$1.00 no change
$0.00 —	68 ↓38.7%	14 no change	0 —	0.0% —	$0.00 —	— —
$1.16 ↓36.1%	63 ↓39.4%	7 ↓70.8%	0 ↓100.0%	0.0% ↓100.0%	$0.00 ↓100.0%	— —
$0.26 ↓75.3%	69 ↓38.4%	7 ↓80.6%	0 —	0.0% —	$0.00 —	— —
$0.11 ↓72.7%	69 ↓38.4%	6 ↓53.8%	0 —	0.0% —	$0.00 —	— —
$1.15 ↓26.6%	69 ↓38.4%	3 ↓62.5%	0 —	0.0% —	$0.00 —	— —
— —	64 ↓37.9%	1 ↓85.7%	0 —	0.0% —	$0.00 —	— —
— —	69 ↓34.3%	— —	0 —	— —	$0.00 —	— —
— —	69 ↓38.4%	— —	0 —	— —	$0.00 —	— —
$1.67 ↓39.0%	68 ↓34.6%	— —	0 —	— —	$0.00 —	— —

Needs attention38 leads — 29% of everything sent — went to 6 buyers that bought none: DMS (14), Compare (7), Datalot (7), and others.

Zero sales from an established buyer is more often a broken postback than total rejection. Pull their own delivery report and compare their sold count to ours — if theirs is also zero it is a lead-quality problem, if not, revenue is being under-reported everywhere on this page.

How to act on this

Establish whether the leads were rejected or the sales were never reported.

Not a Meta problem. Pull the buyer's own delivery report for the same dates and compare their sold count to the one here. This single comparison decides everything else.
If theirs is also zero, it is lead quality or a filter mismatch — ask which filter, and whether leads are being rejected at ping or at post. Those have different fixes.
If theirs is NOT zero, the postback is broken and every revenue figure on this page is understated, not only theirs. That makes it the highest-priority item in the account, ahead of anything in Ads Manager.

Watch out: Cutting the buyer before checking loses the volume AND leaves the reporting bug in place for the next one.

This account runs under Meta’s Financial products and services special ad category — its own description covers “insurance services” — so the guidance above is written to work inside these limits rather than around them:

Age is fixed at 18–65+ and cannot be narrowed. (Financial-services advertisers in Europe are the one exception; US accounts are not.)
Gender is fixed to all genders.
Some detailed targeting options — demographics, behaviours and interests — are unavailable.
No ZIP or postal-code targeting. Any city, address or pin must include everything within a 15-mile radius.
Lookalike audiences are unavailable.
Saved audiences cannot be used or created, so every ad set is built by hand — which is why duplicating beats rebuilding.
Custom audiences DO still work, provided the selection is not discriminatory. They are the one audience tool you keep, and the basis of converter exclusions and retargeting.
Copy naming a guaranteed rate or a specific saving gets rejected, and repeated rejections restrict the account.

Each figure shows its change against the same figure last period, so a buyer paying less per lead reads differently from one accepting fewer. Accept is sold ÷ sent, this buyer’s own acceptance rate — not the dashboard’s sold rate, which spans every buyer. RPU is revenue per lead sold, so price and acceptance stay separable. A row with bids but no sends is a buyer in the auction receiving nothing. Expanded rows cover only what traces back to an ad — about half of pings and sends carry a resolvable identity — so the rates there read higher than the buyer’s own row: traffic that resolves is traffic that tracks, and it converts better.

DemographicsNew Account only

Married / Campaign / Ad	Feed bid	Lead bid	Leads	Sold	Sold rate	Avg lead rev	Avg feed rev	Rev/lead	Cost/lead	Net/lead	Total rev
	$2.82	$0.89	60	7	11.7%	$0.38	$6.18	$6.56	$0.00	$6.56	$393.72
	$2.98	$1.06	15	5	33.3%	$0.65	$6.58	$7.23	$0.00	$7.23	$108.46

No married segment has 40+ leads yet, so differences between them are still chance.

Leads are counted in the window they arrived, and a sale counts toward them whenever it lands — so a demographic is judged on the leads it produced, not on the day money happened to arrive. Recent windows therefore understate sold rate. Sold rate is coloured against this scope’s 16.0% baseline, and only once a row has at least 40 leads — below that a rate is chance, not a finding. Feed bid is dollars per click into the click feeds and Lead bid is dollars per lead offered by lead buyers — two different markets valuing the same person, never averaged together. Avg sold is confirmed revenue per lead sold, not the price field on the lead row.

Rev/lead, Cost/lead and Net/lead are measured over the same population — the leads that resolve to an ad, since spend exists only at ad grain and a lead with no ad has no cost to carry. Cost charges an ad’s whole spend across the leads it produced, so it is deliberately conservative: that same spend also bought clicks from people who never became a lead, and their click revenue is excluded from both sides. Net therefore reads worse here than the blended business does. Expanding shows only leads that trace back to an ad, so campaigns sum to less than the row above them.

TimingNew Account only

Hour	Feed bid	Feed bids	Lead bid	Lead bids	Clicks	Click rev	Leads	Sold	Sold rate	Avg sold
	$3.19	72	$0.86	64	16	$39.06	5	2	40.0%	$4.25
	$2.80	77	$1.07	63	11	$48.39	5	1	20.0%	$1.70
	$2.77	111	$0.83	89	20	$39.17	7	2	28.6%	$3.81
	$2.80	54	$0.88	51	19	$29.35	4	—	0.0%	—
	$3.89	12	$1.18	13	3	$9.62	1	—	0.0%	—
5 AM	—	—	—	—	—	—	—	—	—	—
6 AM	—	—	—	—	—	—	—	—	—	—
7 AM	—	—	—	—	—	—	—	—	—	—
8 AM	—	—	—	—	—	—	—	—	—	—
9 AM	—	—	—	—	—	—	—	—	—	—
10 AM	—	—	—	—	—	—	—	—	—	—
11 AM	—	—	—	—	—	—	—	—	—	—
12 PM	—	—	—	—	—	—	—	—	—	—
1 PM	—	—	—	—	—	—	—	—	—	—
2 PM	—	—	—	—	—	—	—	—	—	—
3 PM	—	—	—	—	—	—	—	—	—	—
4 PM	—	—	—	—	—	—	—	—	—	—
5 PM	—	—	—	—	—	—	—	—	—	—
	$2.98	168	$1.26	130	45	$83.48	11	2	18.2%	$1.20
	$2.48	155	$1.12	119	48	$77.25	12	2	16.7%	$1.58
	$2.97	117	$0.73	137	31	$52.28	12	—	0.0%	—
	$3.26	76	$0.53	101	37	$48.79	9	—	0.0%	—
	$1.95	34	$1.18	64	25	$21.89	5	1	20.0%	$4.81
	$2.94	39	$0.46	52	21	$20.36	4	2	50.0%	$2.19

Not enough leads per hour yet to separate real patterns from chance.

Buckets are Mountain time, DST included — the warehouse stores UTC, and raw UTC hours would sit six or seven hours off what the business actually experienced. Feed bid is dollars per click into the click feeds; Lead bid is dollars per lead offered by lead buyers. Different units, never averaged together. Bids and clicks are bucketed by when they happened; leads, sold and avg sold by when the lead arrived, so a late-night lead that sells at 9am counts toward the night — the question here is what traffic from an hour is worth. Sold rate is coloured against the 16.0% baseline once a bucket has 25+ leads. There is no cost column: Facebook spend is ingested at daily grain, so CPL and ROAS cannot be split by hour without an hourly pull.

Expand a hour to see it per counterparty — which feed was paying then, which buyer was accepting. A buyer that is both appears once, with both halves filled. Inside an expanded row, Leads means leads sent to that buyer and sold rate is their acceptance of them, where the row above counts every lead that arrived — same question, narrower denominator. Those figures are bucketed by when we contacted the buyer, which is the clock a daypart rule acts on.

Before switching a feed off for an hour, check the volume behind it: a single fortnight gives each weekday two or three samples, and each hour fewer still.